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Qinghua Hu

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2025
[j260]
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Linwen Jiang, Min Li, Jing Jiang, Qinghua Hu:
Optimizing apnea-hypopnea event detection in pediatric OSAHS diagnosis: An enhanced genetic algorithm approach. Biomed. Signal Process. Control. 103: 107428 (2025)
[j259]
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Yueyue Xiao, Qinghua Hu:
The influence of virtual technologies on motivation and engagement: a comparative analysis of male and female students. Interact. Learn. Environ. 33(3): 2524-2537 (2025)
[j258]
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Shuai Zhao, Boyuan Zhang, Yucheng Shi, Yang Zhai, Yahong Han, Qinghua Hu:
A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systems. Frontiers Inf. Technol. Electron. Eng. 26(4): 510-533 (2025)
[j257]
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Pengfei Li, Qinghua Hu, Xiaofei Wang:
Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference. Neural Networks 185: 107135 (2025)
[j256]
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Zonghao Lu, Bing Cao, Shuyin Xia, Qinghua Hu:
Geometry-semantic aware for monocular 3D Semantic Scene Completion. Pattern Recognit. 158: 111030 (2025)
[j255]
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Ning Ma, Qinghua Hu, Kaijun Wu, Yubin Yuan:
A Dissimilarity Measure Powered Feature Weighted Fuzzy C-Means Algorithm for Gene Expression Data. IEEE Trans. Fuzzy Syst. 33(1): 192-202 (2025)
[j254]
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Shuyi Li, Bob Zhang, Qinghua Hu:
Dual-Cohesion Metric Learning for Few-Shot Hand-Based Multimodal Recognition. IEEE Trans. Inf. Forensics Secur. 20: 3566-3575 (2025)
[j253]
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Bing Cao, Guoliang Qi, Jiaming Zhao, Pengfei Zhu, Qinghua Hu, Xinbo Gao:
RTF: Recursive TransFusion for Multi-Modal Image Synthesis. IEEE Trans. Image Process. 34: 1573-1587 (2025)
[j252]
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Pengfei Zhu, Jialu Li, Zhe Dong, Qinghua Hu, Xiao Wang, Qilong Wang:
CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6395-6406 (2025)
[j251]
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Xiaojie Yin, Bing Cao, Qinghua Hu, Qilong Wang:
RD-OpenMax: Rethinking OpenMax for Robust Realistic Open-Set Recognition. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7565-7579 (2025)
[j250]
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Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Jinglin Zhang, Wanyu Lin, Qinghua Hu:
Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8346-8359 (2025)
[j249]
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Yunfeng Zhao, Chao Qiu, Shangxuan Cai, Zhicheng Liu, Yu Wang, Xiaofei Wang, Qinghua Hu:
Multi-Granularity Weighted Federated Learning for Heterogeneous Edge Computing. IEEE Trans. Serv. Comput. 18(1): 270-287 (2025)
[c181]
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  - conf/aaai/LiYZHZ025
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Junliang Li, Yajun Yang, Yujia Zhang, Qinghua Hu, Alan Zhao, Hong Gao:
Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction. AAAI 2025: 12076-12083
[c180]
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Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu:
Asymmetric Reinforcing Against Multi-Modal Representation Bias. AAAI 2025: 16754-16762
[c179]
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Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu:
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. AAAI 2025: 19296-19304
[c178]
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Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu:
Hierarchical Classification Auxiliary Network for Time Series Forecasting. AAAI 2025: 20743-20751
[c177]
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Haifang Cao, Yu Wang, Jialu Li, Pengfei Zhu, Qinghua Hu:
Hyperbolic-Euclidean Deep Mutual Learning. WWW 2025: 3073-3083
[i85]
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  - journals/corr/abs-2501-01240
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Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu:
Asymmetric Reinforcing against Multi-modal Representation Bias. CoRR abs/2501.01240 (2025)
[i84]
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  - journals/corr/abs-2502-02079
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Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu, John C. S. Lui, Zhongxiang Dai:
Online Clustering of Dueling Bandits. CoRR abs/2502.02079 (2025)
[i83]
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  - journals/corr/abs-2502-12802
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Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu:
PPGF: Probability Pattern-Guided Time Series Forecasting. CoRR abs/2502.12802 (2025)
[i82]
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  - journals/corr/abs-2503-00877
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Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu:
Patch-wise Structural Loss for Time Series Forecasting. CoRR abs/2503.00877 (2025)
[i81]
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  - journals/corr/abs-2503-02609
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Tianyu Jia, Zongxia Xie, Yanru Sun, Dilfira Kudrat, Qinghua Hu:
Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis. CoRR abs/2503.02609 (2025)
[i80]
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  - journals/corr/abs-2503-10109
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Xingxin Xu, Bing Cao, Yinan Xia, Pengfei Zhu, Qinghua Hu:
Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion. CoRR abs/2503.10109 (2025)
[i79]
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  - journals/corr/abs-2503-15234
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Wenlong Yu, Qilong Wang, Chuang Liu, Dong Li, Qinghua Hu:
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification. CoRR abs/2503.15234 (2025)
[i78]
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  - journals/corr/abs-2503-17677
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Huitong Chen, Yu Wang, Yan Fan, Guosong Jiang, Qinghua Hu:
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds. CoRR abs/2503.17677 (2025)
[i77]
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  - journals/corr/abs-2503-17717
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Yu Wang, Junxian Mu, Hongzhi Huang, Qilong Wang, Pengfei Zhu, Qinghua Hu:
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors. CoRR abs/2503.17717 (2025)
[i76]
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  - journals/corr/abs-2503-18407
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Wencheng Zhu, Yuexin Wang, Hongxuan Li, Pengfei Zhu, Qinghua Hu:
VTD-CLIP: Video-to-Text Discretization via Prompting CLIP. CoRR abs/2503.18407 (2025)
[i75]
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  - journals/corr/abs-2503-18627
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Bing Cao, Baoshuo Cai, Changqing Zhang, Qinghua Hu:
Dig2DIG: Dig into Diffusion Information Gains for Image Fusion. CoRR abs/2503.18627 (2025)
[i74]
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  - journals/corr/abs-2504-01386
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Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang, Qinghua Hu, Peihua Li, Sen Xu:
DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data. CoRR abs/2504.01386 (2025)
2024
[j248]
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Xiangling Zhu, Qinghua Hu:
Sums of Generalized Weighted Composition Operators from Weighted Bergman Spaces Induced by Doubling Weights into Bloch-Type Spaces. Axioms 13(8): 530 (2024)
[j247]
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Kaidi Hu, Zongxia Xie, Qinghua Hu:
Dual-resolution transformer combined with multi-layer separable convolution fusion network for real-time semantic segmentation. Comput. Graph. 118: 220-232 (2024)
[j246]
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Boyuan Zhang, Jiaxu Li, Yucheng Shi, Yahong Han, Qinghua Hu:
VADS: Visuo-Adaptive DualStrike attack on visual question answer. Comput. Vis. Image Underst. 249: 104137 (2024)
[j245]
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Yu Wang, Xinjie Yao, Pengfei Zhu, Weihao Li, Meng Cao, Qinghua Hu:
Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal Clustering. Int. J. Comput. Vis. 132(9): 3847-3866 (2024)
[j244]
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Mohammed Al-taezi, Yu Wang, Pengfei Zhu, Qinghua Hu, Abdulrahman Al-Badwi:
Improved generative adversarial network with deep metric learning for missing data imputation. Neurocomputing 570: 127062 (2024)
[j243]
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Yun Liao, Yong Liu, Shizhong Liao, Qinghua Hu, Jianwu Dang:
Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view. Inf. Fusion 103: 102087 (2024)
[j242]
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Boyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu, Weiping Ding:
Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language. Inf. Fusion 104: 102179 (2024)
[j241]
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Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang:
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675: 120768 (2024)
[j240]
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Kaidi Hu, Zongxia Xie, Qinghua Hu:
Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation. Image Vis. Comput. 146: 105053 (2024)
[j239]
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Xiaowei Li, Qinghua Hu, Renshu Gu, Jinlan Xu, Haiyan Wu, Gang Xu:
DiagPara: Volumetric parameterization with energy-minimizing pair of diagonal surfaces from given boundaries. J. Comput. Appl. Math. 449: 115943 (2024)
[j238]
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Lili Pan, Weizhi Shao, Siyu Xiong, Qianhui Lei, Shiqi Huang, Eric Beckman, Qinghua Hu:
SSER: Semi-Supervised Emotion Recognition based on Triplet Loss and pseudo label. Knowl. Based Syst. 292: 111595 (2024)
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Junyan Zheng, Yu Wang, Shenglei Pei, Qinghua Hu:
Exploring and exploiting hierarchical structures for large-scale classification. Int. J. Mach. Learn. Cybern. 15(6): 2427-2437 (2024)
[j236]
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Kaidi Hu, Zongxia Xie, Qinghua Hu:
ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation. Int. J. Mach. Learn. Cybern. 15(7): 2987-3003 (2024)
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Siyu Xiong, Lili Pan, Xueqiang Ma, Qinghua Hu, Eric Beckman:
Unsupervised deep hashing with multiple similarity preservation for cross-modal image-text retrieval. Int. J. Mach. Learn. Cybern. 15(10): 4423-4434 (2024)
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Qinghua Hu, Luona Ji, Yu Wang, Shuai Zhao, Zhibin Lin:
Uncertainty-driven active developmental learning. Pattern Recognit. 151: 110384 (2024)
[j233]
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Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu:
Soft independence guided filter pruning. Pattern Recognit. 153: 110488 (2024)
[j232]
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Jing Li, Liu Yang, Qinghua Hu:
Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest Neighbor Classification With Self-Supervised Vision Transformer. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2648-2662 (2024)
[j231]
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Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Huazhu Fu, Lei Chen:
Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion. IEEE Trans. Circuits Syst. Video Technol. 34(4): 3017-3029 (2024)
[j230]
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Zonghao Lu, Bing Cao, Qinghua Hu:
LiDAR-Camera Continuous Fusion in Voxelized Grid for Semantic Scene Completion. IEEE Trans. Circuits Syst. Video Technol. 34(12): 12330-12344 (2024)
[j229]
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Pengfei Zhu, Xinjie Yao, Yu Wang, Binyuan Hui, Dawei Du, Qinghua Hu:
Multiview Deep Subspace Clustering Networks. IEEE Trans. Cybern. 54(7): 4280-4293 (2024)
[j228]
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Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou:
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics 20(2): 1987-1996 (2024)
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Qilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu:
Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. IEEE Trans. Image Process. 33: 1977-1989 (2024)
[j226]
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Wenlong Yu, Ruonan Liu, Dongyue Chen, Qinghua Hu:
Explainability Enhanced Object Detection Transformer With Feature Disentanglement. IEEE Trans. Image Process. 33: 6439-6454 (2024)
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Shuyin Xia, Xiaoyu Lian, Guoyin Wang, Xinbo Gao, Qinghua Hu, Yabin Shao:
Granular-Ball Fuzzy Set and Its Implement in SVM. IEEE Trans. Knowl. Data Eng. 36(11): 6293-6304 (2024)
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Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu:
Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis. IEEE Trans. Multim. 26: 995-1010 (2024)
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Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu:
Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2263-2275 (2024)
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Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu:
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5656-5670 (2024)
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Zixuan Qin, Liu Yang, Fei Gao, Qinghua Hu, Chenyang Shen:
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7548-7562 (2024)
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Bing Cao, Qinghe Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao:
Multi-View Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9728-9742 (2024)
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Pengfei Zhu, Jingqing Li, Bing Cao, Qinghua Hu:
Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10394-10406 (2024)
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Dongyue Chen, Zongxia Xie, Ruonan Liu, Wenlong Yu, Qinghua Hu, Xianling Li, Steven X. Ding:
Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18635-18648 (2024)
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Qilong Wang, Qiyao Hu, Zilin Gao, Peihua Li, Qinghua Hu:
AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18731-18745 (2024)
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Shili Peng, Wenwu Wang, Yinli Chen, Xueling Zhong, Qinghua Hu:
Regression-Based Hyperparameter Learning for Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18799-18813 (2024)
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Yunfeng Zhao, Ziwei Wang, Chao Qiu, Qiang He, Dusit Niyato, Xin Wang, Xiaofei Wang, Qinghua Hu:
A Socialized Learning-Based Scheduling Framework in Intricate Edge Clouds. IEEE Trans. Serv. Comput. 17(6): 3092-3109 (2024)
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Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu:
Bi-directional Adapter for Multimodal Tracking. AAAI 2024: 927-935
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Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu:
Exploring Diverse Representations for Open Set Recognition. AAAI 2024: 5731-5739
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Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu:
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. AAAI 2024: 11927-11935
[c173]
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Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang:
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. AAAI 2024: 13782-13789
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Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu:
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. AAAI 2024: 17184-17192
[c171]
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Rong Yang, Zihan Feng, Linfa Pu, Yajun Yang, Chenya Liu, Qinghua Hu:
Dual-View Stack State Learning Network for Attribute-Based Container Location Assignment. APWeb/WAIM (2) 2024: 467-482
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  - conf/cvpr/ZhuSCH24
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Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu:
Task-Customized Mixture of Adapters for General Image Fusion. CVPR 2024: 7099-7108
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Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang:
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CVPR 2024: 17480-17489
[c168]
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Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu:
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CVPR 2024: 23323-23333
[c167]
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Zihan Feng, Rui Wu, Yajun Yang, Hong Gao, Xin Wang, Xueli Liu, Qinghua Hu:
Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction. DASFAA (6) 2024: 84-100
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Jingtao Zhang, Xiangxiang Wang, Yongbin Yu, Qinghua Hu, Lirui Xue, Qi He, Manping Fan, Liyong Ren:
EPAAMap: Enhanced Parallel Attention Aggregation HD Semantic Map in Complex Traffic Scenarios. DSIT 2024: 1-7
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Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu:
Visible and Clear: Finding Tiny Objects in Difference Map. ECCV (17) 2024: 1-18
[c164]
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Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Predictive Dynamic Fusion. ICML 2024
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Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu:
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. ICML 2024
[c162]
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Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. IJCAI 2024: 1317-1325
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Guoliang Qi, Bing Cao, Qinghua Hu:
Exploring What to Share for Multimodal Image Synthesis. IJCNN 2024: 1-8
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Fei Gao, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, Haipeng Yao, Qinghua Hu:
CP²GFed: Cross-granular and Personalized Prompt-based Green Federated Tuning for Giant Models. IWQoS 2024: 1-10
[c159]
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Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu:
Conditional Controllable Image Fusion. NeurIPS 2024
[c158]
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Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Test-Time Dynamic Image Fusion. NeurIPS 2024
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Yan Fan, Yu Wang, Pengfei Zhu, Dongyue Chen, Qinghua Hu:
Persistence Homology Distillation for Semi-supervised Continual Learning. NeurIPS 2024
[c156]
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Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu:
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective. NeurIPS 2024
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Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang:
Out-Of-Distribution Detection with Diversification (Provably). NeurIPS 2024
[c154]
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Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang:
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection. NeurIPS 2024
[c153]
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Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. PRICAI (2) 2024: 16-28
[i73]
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Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu:
Exploring Diverse Representations for Open Set Recognition. CoRR abs/2401.06521 (2024)
[i72]
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Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu:
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. CoRR abs/2401.06595 (2024)
[i71]
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  - journals/corr/abs-2402-08384
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Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao:
Selective Learning: Towards Robust Calibration with Dynamic Regularization. CoRR abs/2402.08384 (2024)
[i70]
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  - journals/corr/abs-2403-00376
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Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu:
Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR abs/2403.00376 (2024)
[i69]
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Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu:
Task-Customized Mixture of Adapters for General Image Fusion. CoRR abs/2403.12494 (2024)
[i68]
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  - journals/corr/abs-2404-08958
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Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu:
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CoRR abs/2404.08958 (2024)
[i67]
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  - journals/corr/abs-2404-13348
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Xiaofei Wang, Yunfeng Zhao, Chao Qiu, Qinghua Hu, Victor C. M. Leung:
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems. CoRR abs/2404.13348 (2024)
[i66]
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Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, Qinghua Hu:
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective. CoRR abs/2404.14109 (2024)
[i65]
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  - journals/corr/abs-2404-18947
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Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang:
Multimodal Fusion on Low-quality Data: A Comprehensive Survey. CoRR abs/2404.18947 (2024)
[i64]
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  - journals/corr/abs-2405-11276
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Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu:
Visible and Clear: Finding Tiny Objects in Difference Map. CoRR abs/2405.11276 (2024)
[i63]
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  - journals/corr/abs-2405-18975
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Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu:
Hierarchical Classification Auxiliary Network for Time Series Forecasting. CoRR abs/2405.18975 (2024)
[i62]
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  - journals/corr/abs-2406-04802
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Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Predictive Dynamic Fusion. CoRR abs/2406.04802 (2024)
[i61]
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  - journals/corr/abs-2406-09166
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Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu:
Fine-Grained Domain Generalization with Feature Structuralization. CoRR abs/2406.09166 (2024)
[i60]
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  - journals/corr/abs-2409-19375
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Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang:
DOTA: Distributional Test-Time Adaptation of Vision-Language Models. CoRR abs/2409.19375 (2024)
[i59]
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Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu:
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift. CoRR abs/2410.09836 (2024)
[i58]
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Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang:
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection. CoRR abs/2410.11576 (2024)
[i57]
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Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu:
Conditional Controllable Image Fusion. CoRR abs/2411.01573 (2024)
[i56]
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Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Test-Time Dynamic Image Fusion. CoRR abs/2411.02840 (2024)
[i55]
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Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. CoRR abs/2411.04697 (2024)
[i54]
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Bing Cao, Quanhao Lu, Jiekang Feng, Pengfei Zhu, Qinghua Hu, Qilong Wang:
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark. CoRR abs/2411.13056 (2024)
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Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang:
Out-Of-Distribution Detection with Diversification (Provably). CoRR abs/2411.14049 (2024)
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Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu:
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. CoRR abs/2411.19041 (2024)
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  - journals/corr/abs-2412-04925
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Xiaojie Yin, Qilong Wang, Bing Cao, Qinghua Hu:
S³: Synonymous Semantic Space for Improving Zero-Shot Generalization of Vision-Language Models. CoRR abs/2412.04925 (2024)
2023
[j214]
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Qinghua Hu, Mingxuan Zhu:
Orbital stability of pseudo-peakons for the fifth-order Camassa-Holm type equation. Appl. Math. Lett. 143: 108667 (2023)
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Xiaowei Li, Qinghua Hu, Gang Xu, Long Qi, Haiyan Wu, Yufei Pang:
DiagVol: Multi-block Bézier Volume Modeling from Prescribed Diagonal Surface Pairs. Comput. Aided Des. 156: 103464 (2023)
[j212]
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Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen:
AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis. Int. J. Comput. Vis. 131(8): 1995-2014 (2023)
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Hongzhi Huang, Yu Wang, Qinghua Hu:
Building hierarchical class structures for extreme multi-class learning. Int. J. Mach. Learn. Cybern. 14(7): 2575-2590 (2023)
[j210]
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Dicong Wang, Qinghua Hu, Kaijun Wu:
Dual-branch network with memory for video anomaly detection. Multim. Syst. 29(1): 247-259 (2023)
[j209]
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Yucheng Shi, Yahong Han, Qinghua Hu, Yi Yang, Qi Tian:
Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2226-2245 (2023)
[j208]
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Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4214-4228 (2023)
[j207]
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Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15802-15819 (2023)
[j206]
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Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu:
Scatter matrix decomposition for jointly sparse learning. Pattern Recognit. 140: 109485 (2023)
[j205]
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Yikang Wei, Liu Yang, Yahong Han, Qinghua Hu:
Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2202-2216 (2023)
[j204]
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Wenyuan Zhong, Huaxiong Li, Qinghua Hu, Yang Gao, Chunlin Chen:
Multi-Level Cascade Sparse Representation Learning for Small Data Classification. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2451-2464 (2023)
[j203]
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Guanlin Chen, Pengfei Zhu, Bing Cao, Xing Wang, Qinghua Hu:
Cross-Drone Transformer Network for Robust Single Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4552-4563 (2023)
[j202]
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Jing Li, Liu Yang, Qilong Wang, Qinghua Hu:
WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5133-5147 (2023)
[j201]
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Guosong Jiang, Pengfei Zhu, Yu Wang, Qinghua Hu:
OpenMix+: Revisiting Data Augmentation for Open Set Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6777-6787 (2023)
[j200]
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Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu:
Skeleton Neural Networks via Low-Rank Guided Filter Pruning. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7197-7211 (2023)
[j199]
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Zhen Wang, Shuo Jin, Linhao Li, Yongfeng Dong, Qinghua Hu:
Meta-Probability Weighting for Improving Reliability of DNNs to Label Noise. IEEE J. Biomed. Health Informatics 27(4): 1726-1734 (2023)
[j198]
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Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu:
Hierarchical Feature Selection Based on Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 35(6): 5964-5976 (2023)
[j197]
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Huitong Chen, Yu Wang, Qinghua Hu:
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. IEEE Trans. Knowl. Data Eng. 35(7): 7263-7277 (2023)
[j196]
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Zhihao Liu, Yuanyuan Shang, Timing Li, Guanlin Chen, Yu Wang, Qinghua Hu, Pengfei Zhu:
Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark. IEEE Trans. Multim. 25: 1462-1476 (2023)
[j195]
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Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu:
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. IEEE Trans. Multim. 25: 3033-3045 (2023)
[j194]
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Qing Li, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu:
Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection. IEEE Trans. Multim. 25: 3420-3431 (2023)
[j193]
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Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen:
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 34(2): 761-774 (2023)
[j192]
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Dongyue Chen, Ruonan Liu, Qinghua Hu, Steven X. Ding:
Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6015-6028 (2023)
[j191]
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Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Shuai Zhao, Qinghua Hu:
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10851-10863 (2023)
[j190]
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Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu:
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks. ACM Trans. Inf. Syst. 41(2): 39:1-39:30 (2023)
[c152]
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  - conf/cicba/LiuPWCNZGHZ23
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Yi Liu, Junwen Pan, Qilong Wang, Guanlin Chen, Weiguo Nie, Yudong Zhang, Qian Gao, Qinghua Hu, Pengfei Zhu:
Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction. CICAI (1) 2023: 156-169
[c151]
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Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CVPR 2023: 19873-19882
[c150]
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Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu:
Reliable and Interpretable Personalized Federated Learning. CVPR 2023: 20422-20431
[c149]
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  - conf/dasfaa/WangYGH23
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Tianbao Wang, Yajun Yang, Hong Gao, Qinghua Hu:
MRSCN: A GNN-based Model for Mining Relationship Strength Changes Between Nodes in Dynamic Networks. DASFAA (3) 2023: 172-182
[c148]
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Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. ICCV 2023: 11769-11779
[c147]
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Xiaohua Chen, Yucan Zhou, Dayan Wu, Chule Yang, Bo Li, Qinghua Hu, Weiping Wang:
AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification. ICCV 2023: 19220-19230
[c146]
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Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu:
Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion. ICCV 2023: 23498-23507
[c145]
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Ziwei Wang, Yunfeng Zhao, Chao Qiu, Qiang He, Xin Wang, Xiaofei Wang, Qinghua Hu:
SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems. ICDCS 2023: 853-863
[c144]
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  - conf/icdm/LiYHW023
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Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao:
Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. ICDM 2023: 1091-1096
[c143]
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Jing Li, Liu Yang, Qilong Wang, Qinghua Hu:
Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. ICME 2023: 2675-2680
[c142]
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Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. ICML 2023: 23429-23450
[c141]
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Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. ICML 2023: 41753-41769
[c140]
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Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao:
Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion. NeurIPS 2023
[c139]
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Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu:
Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS 2023
[c138]
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  - conf/trustcom/HuXL23
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Qinghua Hu, Chunxiang Xu, Wanpeng Li:
A Broadband Subliminal Channel in Signatures Without Sharing the Signing Key. TrustCom 2023: 814-822
[i50]
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  - journals/corr/abs-2302-01392
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Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion. CoRR abs/2302.01392 (2023)
[i49]
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  - journals/corr/abs-2303-13217
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Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu:
Fairness-guided Few-shot Prompting for Large Language Models. CoRR abs/2303.13217 (2023)
[i48]
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Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao:
Reweighted Mixup for Subpopulation Shift. CoRR abs/2304.04148 (2023)
[i47]
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  - journals/corr/abs-2304-05165
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Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CoRR abs/2304.05165 (2023)
[i46]
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  - journals/corr/abs-2306-01265
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Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. CoRR abs/2306.01265 (2023)
[i45]
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Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR abs/2306.02050 (2023)
[i44]
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Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. CoRR abs/2307.11342 (2023)
[i43]
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Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang:
Semantic Equivariant Mixup. CoRR abs/2308.06451 (2023)
[i42]
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  - journals/corr/abs-2311-15243
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Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, Qinghua Hu:
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CoRR abs/2311.15243 (2023)
[i41]
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Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang:
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. CoRR abs/2312.07032 (2023)
[i40]
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Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu:
Bi-directional Adapter for Multi-modal Tracking. CoRR abs/2312.10611 (2023)
[i39]
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Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu:
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. CoRR abs/2312.16409 (2023)
2022
[j189]
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Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu:
Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation. Int. J. Comput. Vis. 130(5): 1181-1195 (2022)
[j188]
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Pengfei Zhu, Wanying Zhang, Yu Wang, Qinghua Hu:
Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition. Int. J. Softw. Informatics 12(2): 157-175 (2022)
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Yu Wang, Qinghua Hu, Hao Chen, Yuhua Qian:
Uncertainty instructed multi-granularity decision for large-scale hierarchical classification. Inf. Sci. 586: 644-661 (2022)
[j186]
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Qinghua Hu, Jusheng Mi, Degang Chen:
Granular computing based machine learning in the era of big data. Inf. Sci. 591: 422-423 (2022)
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Shuang An, Qinghua Hu, Changzhong Wang, Ge Guo, Piyu Li:
Data reduction based on NN-kNN measure for NN classification and regression. Int. J. Mach. Learn. Cybern. 13(3): 765-781 (2022)
[j184]
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Chao Qiu, Haotian Qi, Zhicheng Liu, Xiaofei Wang, Jing Jiang, Qinghua Hu:
Credible Internet of Intelligence Toward Future Multidimensional Connection. IEEE Netw. 36(3): 106-113 (2022)
[j183]
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Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2402-2415 (2022)
[j182]
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Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, Haibin Ling:
Detection and Tracking Meet Drones Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7380-7399 (2022)
[j181]
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Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai:
Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognit. 123: 108383 (2022)
[j180]
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Bing Cao, Nannan Wang, Jie Li, Qinghua Hu, Xinbo Gao:
Face photo-sketch synthesis via full-scale identity supervision. Pattern Recognit. 124: 108446 (2022)
[j179]
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Yu Zhou, Xiaoni Li, Yucan Zhou, Yu Wang, Qinghua Hu, Weiping Wang:
Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification. Pattern Recognit. 124: 108449 (2022)
[j178]
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Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6700-6713 (2022)
[j177]
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Qinghua Hu, Yucong Gao, Bing Cao:
Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8660-8673 (2022)
[j176]
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Liu Yang, Maoying Li, Chenyang Shen, Qinghua Hu, Jia Wen, Shujie Xu:
Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes. IEEE Trans. Cybern. 52(3): 1429-1442 (2022)
[j175]
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Zheng Wang, Ziqi Zhou, Huchuan Lu, Qinghua Hu, Jianmin Jiang:
Video Saliency Prediction via Joint Discrimination and Local Consistency. IEEE Trans. Cybern. 52(3): 1490-1501 (2022)
[j174]
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Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu:
Semisupervised Laplace-Regularized Multimodality Metric Learning. IEEE Trans. Cybern. 52(5): 2955-2967 (2022)
[j173]
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Junbing Li, Changqing Zhang, Joey Tianyi Zhou, Huazhu Fu, Shuyin Xia, Qinghua Hu:
Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation. IEEE Trans. Cybern. 52(8): 7732-7741 (2022)
[j172]
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Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo:
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation. IEEE Trans. Cybern. 52(8): 8574-8586 (2022)
[j171]
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Yu Wang, Zhou Wang, Qinghua Hu, Yucan Zhou, Honglei Su:
Hierarchical Semantic Risk Minimization for Large-Scale Classification. IEEE Trans. Cybern. 52(9): 9546-9558 (2022)
[j170]
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Yidan Hu, Ruonan Liu, Xianling Li, Dongyue Chen, Qinghua Hu:
Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data. IEEE Trans. Ind. Informatics 18(6): 3894-3904 (2022)
[j169]
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Pengfei Zhu, Yiming Sun, Bing Cao, Xiaoyu Liu, Xin Liu, Qinghua Hu:
Self-Supervised Fully Automatic Learning Machine for Intelligent Retail Container. IEEE Trans. Instrum. Meas. 71: 1-15 (2022)
[j168]
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Hao Wang, Qilong Wang, Hongzhi Zhang, Qinghua Hu, Wangmeng Zuo:
CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection. IEEE Trans. Image Process. 31: 2962-2974 (2022)
[j167]
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Zhiwei Bi, Bing Cao, Wangmeng Zuo, Qinghua Hu:
Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis. IEEE Trans. Image Process. 31: 6664-6678 (2022)
[j166]
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Yaojin Lin, Qinghua Hu, Jinghua Liu, Xingquan Zhu, Xindong Wu:
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble. ACM Trans. Knowl. Discov. Data 16(1): 5:1-5:24 (2022)
[c137]
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Zhuohang Wang, Yunfeng Zhao, Yong Wang, Li Yan, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu:
Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems. APWeb/WAIM (1) 2022: 209-223
[c136]
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Bingxu Lu, Qinghua Hu, Yu Wang, Guosheng Hu:
RCANet: Row-Column Attention Network for Semantic Segmentation. ICASSP 2022: 2604-2608
[c135]
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Shangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu:
Multi-granularity Weighted Federated Learning in Heterogeneous Mobile Edge Computing Systems. ICDCS 2022: 436-446
[c134]
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  - conf/ijcnn/DongOH22
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Benyu Dong, Chung-Ming Own, Qinghua Hu:
Domain Generalization via Maximum Intra-class Average Diameter Minimization. IJCNN 2022: 1-8
[c133]
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Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
DetFusion: A Detection-driven Infrared and Visible Image Fusion Network. ACM Multimedia 2022: 4003-4011
[c132]
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Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu:
DropCov: A Simple yet Effective Method for Improving Deep Architectures. NeurIPS 2022
[c131]
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  - conf/pricai/LiYH22
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Jing Li, Liu Yang, Qinghua Hu:
Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation. PRICAI (3) 2022: 542-554
[c130]
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Pengfei Li, Yunfeng Zhao, Liandong Chen, Kai Cheng, Chuyue Xie, Xiaofei Wang, Qinghua Hu:
Uncertainty Measured Active Client Selection for Federated Learning in Smart Grid. SmartIoT 2022: 148-153
[i38]
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Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. CoRR abs/2201.05776 (2022)
[i37]
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  - journals/corr/abs-2203-10278
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Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu:
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation. CoRR abs/2203.10278 (2022)
[i36]
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  - journals/corr/abs-2204-11410
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Ruize Han, Wei Feng, Qing Guo, Qinghua Hu:
Single Object Tracking Research: A Survey. CoRR abs/2204.11410 (2022)
[i35]
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  - journals/corr/abs-2206-15189
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Huitong Chen, Yu Wang, Qinghua Hu:
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. CoRR abs/2206.15189 (2022)
[i34]
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  - journals/corr/abs-2207-02158
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Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. CoRR abs/2207.02158 (2022)
[i33]
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  - journals/corr/abs-2208-13669
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Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu:
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. CoRR abs/2208.13669 (2022)
[i32]
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Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu:
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping. CoRR abs/2212.06458 (2022)
2021
[j165]
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Shuang An, Qinghua Hu, Changzhong Wang:
Probability granular distance-based fuzzy rough set model. Appl. Soft Comput. 102: 107064 (2021)
[j164]
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Qinghua Hu, Wen-Sheng Zhao, Kai Fu, Da-Wei Wang, Gaofeng Wang:
On the applicability of two-bit carbon nanotube through-silicon via for power distribution networks in 3-D integrated circuits. IET Circuits Devices Syst. 15(1): 20-26 (2021)
[j163]
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Shuyu Liu, Liu Yang, Qinghua Hu:
Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data. Int. J. Artif. Intell. Tools 30(3): 2150012:1-2150012:24 (2021)
[j162]
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Xiaojie Yin, Qinghua Hu, Gerald Schaefer:
Open set recognition through Monte Carlo dropout-based uncertainty. Int. J. Bio Inspired Comput. 18(4): 210-220 (2021)
[j161]
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Haijuan Fu, Yu Geng, Changqing Zhang, Zechao Li, Qinghua Hu:
RED-Nets: Redistribution Networks for Multi-View Classification. Inf. Fusion 65: 119-127 (2021)
[j160]
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  - journals/isci/WangDLYLH21
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Kai Wang, Shichao Dong, Nian Liu, Junhui Yang, Tao Li, Qinghua Hu:
PA-Net: Learning local features using by pose attention for short-term person re-identification. Inf. Sci. 565: 196-209 (2021)
[j159]
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Mohammed Al-taezi, Pengfei Zhu, Qinghua Hu, Yu Wang, Abdulrahman Al-Badwi:
Self-paced hierarchical metric learning (SPHML). Int. J. Mach. Learn. Cybern. 12(9): 2529-2541 (2021)
[j158]
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Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu:
Low-rank adaptive graph embedding for unsupervised feature extraction. Pattern Recognit. 113: 107758 (2021)
[j157]
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Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu:
Multi-Drone-Based Single Object Tracking With Agent Sharing Network. IEEE Trans. Circuits Syst. Video Technol. 31(10): 4058-4070 (2021)
[j156]
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Zhi-gang Su, Qinghua Hu, Thierry Denoeux:
A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification. IEEE Trans. Fuzzy Syst. 29(8): 2322-2335 (2021)
[j155]
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Fei Wang, Ruonan Liu, Qinghua Hu, Xuefeng Chen:
Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics 17(4): 2511-2521 (2021)
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Linhao Li, Zhen Wang, Qinghua Hu, Yongfeng Dong:
Adaptive Nonconvex Sparsity Based Background Subtraction for Intelligent Video Surveillance. IEEE Trans. Ind. Informatics 17(6): 4168-4178 (2021)
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Pengfei Zhu, Tao Peng, Dawei Du, Hongtao Yu, Libo Zhang, Qinghua Hu:
Graph Regularized Flow Attention Network for Video Animal Counting From Drones. IEEE Trans. Image Process. 30: 5339-5351 (2021)
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Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang:
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification. IEEE Trans. Knowl. Data Eng. 33(7): 2833-2846 (2021)
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Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiuhua Li, Xiaofei Wang, Qinghua Hu:
Socialized Learning for Smart Cities: Cognitive Paradigm, Methodology, and Solution. IEEE Wirel. Commun. 28(5): 200-208 (2021)
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Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. AAAI 2021: 7545-7553
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Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Multi-View Information-Bottleneck Representation Learning. AAAI 2021: 10085-10092
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Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CVPR 2021: 7812-7821
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Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu, Dan Yin:
A Multilevel Inference Mechanism for User Attributes over Social Networks. DASFAA (2) 2021: 710-718
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Shangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu:
MGFL: Multi-granularity Federated Learning in Edge Computing Systems. ICA3PP (1) 2021: 549-563
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Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu:
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. ICCV 2021: 9971-9980
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Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838
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Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo:
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW 2021: 2839-2846
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Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang:
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW 2021: 2847-2854
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Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu:
Cross-View Equivariant Auto-Encoder. ICME 2021: 1-6
[c119]
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Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. NeurIPS 2021: 6881-6893
[c118]
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Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li:
Temporal-attentive Covariance Pooling Networks for Video Recognition. NeurIPS 2021: 13587-13598
[i31]
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Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo:
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation. CoRR abs/2103.05463 (2021)
[i30]
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Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CoRR abs/2105.02440 (2021)
[i29]
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Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR abs/2107.08766 (2021)
[i28]
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Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu:
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. CoRR abs/2107.14447 (2021)
[i27]
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  - journals/corr/abs-2110-14381
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Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li:
Temporal-attentive Covariance Pooling Networks for Video Recognition. CoRR abs/2110.14381 (2021)
[i26]
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  - journals/corr/abs-2111-08456
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Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR abs/2111.08456 (2021)
[i25]
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Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu:
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. CoRR abs/2111.11625 (2021)
[i24]
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Linhao Li, Ming Xu, Yongfeng Dong, Xin Li, Ao Wang, Qinghua Hu:
Interactive Model with Structural Loss for Language-based Abductive Reasoning. CoRR abs/2112.00284 (2021)
2020
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Linhao Li, Qinghua Hu:
Optimized high order product quantization for approximate nearest neighbors search. Frontiers Comput. Sci. 14(2): 259-272 (2020)
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Yanan Zhang, Qinghua Hu, Zhaopeng Meng, Anca L. Ralescu:
Fuzzy dynamic timetable scheduling for public transit. Fuzzy Sets Syst. 395: 235-253 (2020)
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Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu:
Tensorized Multi-view Subspace Representation Learning. Int. J. Comput. Vis. 128(8): 2344-2361 (2020)
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Yingtao Lei, Weiwei Du, Qinghua Hu:
Face sketch-to-photo transformation with multi-scale self-attention GAN. Neurocomputing 396: 13-23 (2020)
[j146]
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Shili Peng, Qinghua Hu, Jianwu Dang, Wenwu Wang:
Optimal feasible step-size based working set selection for large scale SVMs training. Neurocomputing 407: 366-375 (2020)
[j145]
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Dong Li, Linhao Li, Xianling Li, Zhiwu Ke, Qinghua Hu:
Smoothed LSTM-AE: A spatio-temporal deep model for multiple time-series missing imputation. Neurocomputing 411: 351-363 (2020)
[j144]
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Xue Zhang, Zheng Wang, Qinghua Hu, Jinchang Ren, Meijun Sun:
Boundary-aware High-resolution Network with region enhancement for salient object detection. Neurocomputing 418: 91-101 (2020)
[j143]
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  - journals/pami/ZhangFHCXTX20
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Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, Dong Xu:
Generalized Latent Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 86-99 (2020)
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Aming Wu, Yahong Han, Yi Yang, Qinghua Hu, Fei Wu:
Convolutional Reconstruction-to-Sequence for Video Captioning. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4299-4308 (2020)
[j141]
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Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, Qinghua Hu:
Hybrid Noise-Oriented Multilabel Learning. IEEE Trans. Cybern. 50(6): 2837-2850 (2020)
[j140]
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Changzhong Wang, Yang Huang, Mingwen Shao, Qinghua Hu, Degang Chen:
Feature Selection Based on Neighborhood Self-Information. IEEE Trans. Cybern. 50(9): 4031-4042 (2020)
[j139]
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Yu Wang, Qinghua Hu, Pengfei Zhu, Linhao Li, Bingxu Lu, Jonathan M. Garibaldi, Xianling Li:
Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification. IEEE Trans. Fuzzy Syst. 28(7): 1395-1406 (2020)
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Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li:
Adaptive Sample-Level Graph Combination for Partial Multiview Clustering. IEEE Trans. Image Process. 29: 2780-2794 (2020)
[j137]
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Dongwei Ren, Wei Shang, Pengfei Zhu, Qinghua Hu, Deyu Meng, Wangmeng Zuo:
Single Image Deraining Using Bilateral Recurrent Network. IEEE Trans. Image Process. 29: 6852-6863 (2020)
[c117]
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Binyuan Hui, Pengfei Zhu, Qinghua Hu:
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning. AAAI 2020: 4215-4222
[c116]
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  - conf/apweb/PanYH20
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Zian Pan, Yajun Yang, Qinghua Hu:
An Index Method for the Shortest Path Query on Vertex Subset for the Large Graphs. APWeb/WAIM (1) 2020: 69-85
[c115]
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Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. CVPR 2020: 3338-3347
[c114]
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Zhen Wang, Guosheng Hu, Qinghua Hu:
Training Noise-Robust Deep Neural Networks via Meta-Learning. CVPR 2020: 4523-4532
[c113]
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Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. CVPR 2020: 10768-10777
[c112]
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Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CVPR 2020: 11531-11539
[c111]
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Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. ECCV Workshops (4) 2020: 675-691
[c110]
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Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu:
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 2020: 692-712
[c109]
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Heng Fan, Dawei Du, Longyin Wen, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Arne Schumann, Bin Dong, Daniel Stadler, Duo Xu, Filiz Bunyak, Guna Seetharaman, Guizhong Liu, V. Haritha, Hrishikesh P. S, Jie Han, Kannappan Palaniappan, Kaojin Zhu, Lars Wilko Sommer, Libo Zhang, Linu Shine, Min Yao, Noor M. Al-Shakarji, Shengwen Li, Ting Sun, Wang Sai, Wentao Yu, Xi Wu, Xiaopeng Hong, Xing Wei, Xingjie Zhao, Yanyun Zhao, Yihong Gong, Yuehan Yao, Yuhang He, Zhaoze Zhao, Zhen Xie, Zheng Yang, Zhenyu Xu, Zhipeng Luo, Zhizhao Duan:
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results. ECCV Workshops (4) 2020: 713-727
[c108]
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Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Biao Wang, Bin Dong, Di Yuan, Dong Wang, Dongjie Zhou, Haoyang Sun, Hossein Ghanei-Yakhdan, Huchuan Lu, Javad Khaghani, Jinghao Zhou, Keyang Wang, Lei Pang, Lei Zhang, Li Cheng, Liting Lin, Lu Ding, Nana Fan, Peng Wang, Penghao Zhang, Ruiyan Ma, Seyed Mojtaba Marvasti-Zadeh, Shohreh Kasaei, Shuhao Chen, Simiao Lai, Tianyang Xu, Wentao He, Xiaojun Wu, Xin Hou, Xuefeng Zhu, Yanjie Gao, Yanyun Zhao, Yong Wang, Yong Xu, Yubo Sun, Yuting Yang, Yuxuan Li, Zezhou Wang, Zhenwei He, Zhenyu He, Zhipeng Luo, Zhongjian Huang, Zhongzhou Zhang, Zikai Zhang, Zitong Yi:
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. ECCV Workshops (4) 2020: 728-749
[c107]
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Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. ECCV (9) 2020: 783-799
[c106]
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Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu:
Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. ICIP 2020: 196-200
[i23]
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  - journals/corr/abs-2001-06303
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Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Qinghua Hu, Haibin Ling:
Vision Meets Drones: Past, Present and Future. CoRR abs/2001.06303 (2020)
[i22]
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  - journals/corr/abs-2003-02437
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Pengfei Zhu, Yiming Sun, Longyin Wen, Yu Feng, Qinghua Hu:
Drone Based RGBT Vehicle Detection and Counting: A Challenge. CoRR abs/2003.02437 (2020)
[i21]
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  - journals/corr/abs-2003-06994
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Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu:
Multi-Drone based Single Object Tracking with Agent Sharing Network. CoRR abs/2003.06994 (2020)
[i20]
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  - journals/corr/abs-2003-11241
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Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. CoRR abs/2003.11241 (2020)
[i19]
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  - journals/corr/abs-2004-12424
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Yajun Yang, Hang Zhang, Hong Gao, Qinghua Hu, Xin Wang:
An Efficient Index Method for the Optimal Route Query over Multi-Cost Networks. CoRR abs/2004.12424 (2020)
[i18]
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  - journals/corr/abs-2005-03572
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Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo:
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation. CoRR abs/2005.03572 (2020)
[i17]
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  - journals/corr/abs-2007-06240
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Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, Qinghua Hu, Weiping Wang:
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification. CoRR abs/2007.06240 (2020)
[i16]
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  - journals/corr/abs-2008-06883
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Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning. CoRR abs/2008.06883 (2020)
[i15]
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  - journals/corr/abs-2011-06170
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Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. CoRR abs/2011.06170 (2020)

2010 – 2019

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2019
[j136]
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Yajun Yang, Hanxiao Li, Junhu Wang, Qinghua Hu, Xin Wang, Muxi Leng:
A Novel Index Method for K Nearest Object Query over Time-Dependent Road Networks. Complex. 2019: 4829164:1-4829164:18 (2019)
[j135]
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Yajun Yang, Zhongfei Li, Xin Wang, Qinghua Hu:
Finding the Shortest Path with Vertex Constraint over Large Graphs. Complex. 2019: 8728245:1-8728245:13 (2019)
[j134]
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Jiqiang Chen, Qinghua Hu, Xiaoping Xue, Minghu Ha, Litao Ma, Xuchang Zhang, Zhipeng Yu:
Possibility measure based fuzzy support function machine for set-based fuzzy classifications. Inf. Sci. 483: 192-205 (2019)
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  - journals/kbs/TuoZH19
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Qianjuan Tuo, Hong Zhao, Qinghua Hu:
Hierarchical feature selection with subtree based graph regularization. Knowl. Based Syst. 163: 996-1008 (2019)
[j132]
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  - journals/mlc/PengHD19
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Zhichao Peng, Qinghua Hu, Jianwu Dang:
Multi-kernel SVM based depression recognition using social media data. Int. J. Mach. Learn. Cybern. 10(1): 43-57 (2019)
[j131]
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  - journals/tcyb/SunZHWJ19
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Meijun Sun, Ziqi Zhou, Qinghua Hu, Zheng Wang, Jianmin Jiang:
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection. IEEE Trans. Cybern. 49(8): 2900-2911 (2019)
[j130]
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  - journals/tfs/ZhaoWHZ19
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Hong Zhao, Ping Wang, Qinghua Hu, Pengfei Zhu:
Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification. IEEE Trans. Fuzzy Syst. 27(10): 1891-1903 (2019)
[j129]
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  - journals/tip/LiangHDZ19
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Jianqing Liang, Qinghua Hu, Chuangyin Dang, Wangmeng Zuo:
Weighted Graph Embedding-Based Metric Learning for Kinship Verification. IEEE Trans. Image Process. 28(3): 1149-1162 (2019)
[j128]
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  - journals/tip/LiHL19
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Linhao Li, Qinghua Hu, Xin Li:
Moving Object Detection in Video via Hierarchical Modeling and Alternating Optimization. IEEE Trans. Image Process. 28(4): 2021-2036 (2019)
[c105]
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  - conf/cikm/TanYHD19
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Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du:
Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. CIKM 2019: 831-840
[c104]
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  - conf/cvpr/RenZHZM19
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Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng:
Progressive Image Deraining Networks: A Better and Simpler Baseline. CVPR 2019: 3937-3946
[c103]
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Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo:
Deep Global Generalized Gaussian Networks. CVPR 2019: 5080-5088
[c102]
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  - conf/icann/NiuZHS19
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Sijia Niu, Pengfei Zhu, Qinghua Hu, Hong Shi:
Adaptive Graph Fusion for Unsupervised Feature Selection. ICANN (2) 2019: 3-15
[c101]
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Maoxin Yang, Qinghua Hu, Yun Wang:
Multi-task Learning Method for Hierarchical Time Series Forecasting. ICANN (4) 2019: 474-485
[c100]
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Qinqin Nie, Bin Zhou, Pengfei Zhu, Qinghua Hu, Hao Cheng:
Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions. ICANN (2) 2019: 531-542
[c99]
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Haotian Wu, Bin Zhou, Pengfei Zhu, Qinghua Hu, Hong Shi:
Multi-task Sparse Regression Metric Learning for Heterogeneous Classification. ICANN (2) 2019: 543-553
[c98]
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Yang Liu, Qinghua Hu, Yuexian Zou, Wenwu Wang:
Labelled Non-zero Particle Flow for SMC-PHD Filtering. ICASSP 2019: 5197-5201
[c97]
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Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu:
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. ICCV 2019: 8171-8179
[c96]
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Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang:
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCV Workshops 2019: 189-198
[c95]
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Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhenhua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang:
VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. ICCV Workshops 2019: 199-212
[c94]
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Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong:
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. ICCV Workshops 2019: 213-226
[c93]
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Pengfei Zhu, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Dawei Du, Jing Ge, Jingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Longyin Wen, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Xiao Bian, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang:
VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results. ICCV Workshops 2019: 227-235
[c92]
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Binyuan Hui, Pengfei Zhu, Qinghua Hu, Qilong Wang:
Self-Attention Relation Network for Few-Shot Learning. ICME Workshops 2019: 198-203
[c91]
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  - conf/iconip/SongWMH0H019
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Meixian Song, Bo Wang, Xindian Ma, Qinghua Hu, Xin Wang, Yuexian Hou, Dawei Song:
Link Prediction with Attention-Based Semantic Influence of Multiple Neighbors. ICONIP (5) 2019: 506-514
[c90]
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Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du:
Heterogeneous Transfer Clustering for Partial Co-occurrence Data. ICTAI 2019: 1042-1049
[c89]
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Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang:
Flexible Multi-View Representation Learning for Subspace Clustering. IJCAI 2019: 2916-2922
[c88]
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Chenfeng Liu, Pengfei Zhu, Qinghua Hu:
Spatio-temporal Active Learning for Visual Tracking. IJCNN 2019: 1-8
[c87]
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Sijia Niu, Qian Xu, Pengfei Zhu, Qinghua Hu, Hong Shi:
Coupled Dictionary Learning for Multi-label Embedding. IJCNN 2019: 1-8
[c86]
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Yao Tan, Qinghua Hu, Zhibin Du:
Batch Mode Active Learning with Nonlocal Self-Similarity Prior for Semantic Segmentation. IJCNN 2019: 1-7
[c85]
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  - conf/nips/ZhangHcFZH19
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Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
CPM-Nets: Cross Partial Multi-View Networks. NeurIPS 2019: 557-567
[c84]
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Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu:
Semi-interactive Attention Network for Answer Understanding in Reverse-QA. PAKDD (2) 2019: 3-15
[c83]
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Pengfei Zhu, Wenya Ma, Qinghua Hu:
Self-paced Robust Deep Face Recognition with Label Noise. PAKDD (3) 2019: 425-435
[c82]
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Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du:
Transfer Learning for Driving Pattern Recognition. PRICAI (2) 2019: 52-65
[c81]
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Ying Chen, Weiwei Du, Xiaojie Duan, Jianming Wang, Sota Chatani, Qinghua Hu:
An Improved Region-based Fully Convolutional Network for Automatic Pulmonary Nodules Detection. SNPD 2019: 256-261
[i14]
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  - journals/corr/abs-1901-03788
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Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu:
Semi-interactive Attention Network for Answer Understanding in Reverse-QA. CoRR abs/1901.03788 (2019)
[i13]
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Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng:
Progressive Image Deraining Networks: A Better and Simpler Baseline. CoRR abs/1901.09221 (2019)
[i12]
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Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu:
Multi-view Deep Subspace Clustering Networks. CoRR abs/1908.01978 (2019)
[i11]
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Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. CoRR abs/1908.02197 (2019)
[i10]
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Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CoRR abs/1910.03151 (2019)
[i9]
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Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. CoRR abs/1912.01811 (2019)
2018
[j127]
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Zongxia Xie, Yong Xu, Qinghua Hu:
Uncertain data classification with additive kernel support vector machine. Data Knowl. Eng. 117: 87-97 (2018)
[j126]
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Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang:
Co-regularized unsupervised feature selection. Neurocomputing 275: 2855-2863 (2018)
[j125]
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Shenglei Pei, Qinghua Hu:
Partially monotonic decision trees. Inf. Sci. 424: 104-117 (2018)
[j124]
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Changzhong Wang, Qiang He, Mingwen Shao, Qinghua Hu:
Feature selection based on maximal neighborhood discernibility. Int. J. Mach. Learn. Cybern. 9(11): 1929-1940 (2018)
[j123]
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Yong Du, Yu Wang, Xin Huang, Qinghua Hu:
Driver State Analysis Based on Imperfect Multi-view Evidence Support. Neural Process. Lett. 48(1): 195-217 (2018)
[j122]
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Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang, Hong Zhao:
Multi-label feature selection with missing labels. Pattern Recognit. 74: 488-502 (2018)
[j121]
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Jianqing Liang, Qinghua Hu, Pengfei Zhu, Wenwu Wang:
Efficient multi-modal geometric mean metric learning. Pattern Recognit. 75: 188-198 (2018)
[j120]
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  - journals/pr/ZhouHW18
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Yucan Zhou, Qinghua Hu, Yu Wang:
Deep super-class learning for long-tail distributed image classification. Pattern Recognit. 80: 118-128 (2018)
[j119]
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Pengfei Zhu, Qi Hu, Qinghua Hu, Changqing Zhang, Zhizhao Feng:
Multi-view label embedding. Pattern Recognit. 84: 126-135 (2018)
[j118]
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Shichao Zhao, Yanbin Liu, Yahong Han, Richang Hong, Qinghua Hu, Qi Tian:
Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1839-1849 (2018)
[j117]
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Yucan Zhou, Yongzhen Huang, Qinghua Hu, Liang Wang:
Kernel-Based Semantic Hashing for Gait Retrieval. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2742-2752 (2018)
[j116]
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Linhao Li, Qinghua Hu, Yahong Han, Xin Li:
Distribution Sensitive Product Quantization. IEEE Trans. Circuits Syst. Video Technol. 28(12): 3504-3515 (2018)
[j115]
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Jianhua Dai, Hu Hu, Qinghua Hu, Wei Huang, Nenggan Zheng, Liang Liu:
Locally Linear Approximation Approach for Incomplete Data. IEEE Trans. Cybern. 48(6): 1720-1732 (2018)
[j114]
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Qinghua Hu, Lingjun Zhang, Yucan Zhou, Witold Pedrycz:
Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 26(1): 226-238 (2018)
[j113]
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Jianhua Dai, Qinghua Hu, Hu Hu, Debiao Huang:
Neighbor Inconsistent Pair Selection for Attribute Reduction by Rough Set Approach. IEEE Trans. Fuzzy Syst. 26(2): 937-950 (2018)
[j112]
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Yudong Chen, Zhihui Lai, Wai Keung Wong, Linlin Shen, Qinghua Hu:
Low-Rank Linear Embedding for Image Recognition. IEEE Trans. Multim. 20(12): 3212-3222 (2018)
[j111]
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Changzhong Wang, Qinghua Hu, Xizhao Wang, Degang Chen, Yuhua Qian, Zhe Dong:
Feature Selection Based on Neighborhood Discrimination Index. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2986-2999 (2018)
[c80]
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Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang:
Latent Semantic Aware Multi-View Multi-Label Classification. AAAI 2018: 4414-4421
[c79]
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Muxi Leng, Yajun Yang, Junhu Wang, Qinghua Hu, Xin Wang:
Finding the K Nearest Objects over Time Dependent Road Networks. APWeb/WAIM (2) 2018: 334-349
[c78]
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Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song:
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) 2018: 437-468
[c77]
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Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He:
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) 2018: 469-495
[c76]
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Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Haotian Wu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Lianjie Wang, Arne Schumann, Dan Wang, Diego Ortego, Elena Luna, Emmanouil Michail, Erik Bochinski, Feng Ni, Filiz Bunyak, Gege Zhang, Guna Seetharaman, Guorong Li, Hongyang Yu, Ioannis Kompatsiaris, Jianfei Zhao, Jie Gao, José M. Martínez, Juan C. SanMiguel, Kannappan Palaniappan, Konstantinos Avgerinakis, Lars Wilko Sommer, Martin Lauer, Mengkun Liu, Noor M. Al-Shakarji, Oliver Acatay, Panagiotis Giannakeris, Qijie Zhao, Qinghua Ma, Qingming Huang, Stefanos Vrochidis, Thomas Sikora, Tobias Senst, Wei Song, Wei Tian, Wenhua Zhang, Yanyun Zhao, Yidong Bai, Yinan Wu, Yongtao Wang, Yuxuan Li, Zhaoliang Pi, Zhiming Ma:
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results. ECCV Workshops (5) 2018: 496-518
[c75]
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Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Generalized Multi-view Unsupervised Feature Selection. ICANN (2) 2018: 469-478
[c74]
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  - conf/icmcs/ChengZWZH18
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Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu:
Support Vector Metric Learning on Symmetric Positive Definite Manifold. ICME 2018: 1-6
[c73]
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Bingxu Lu, Qinghua Hu, Yijing Hui, Quan Wen, Min Li:
Feature Reinforcement Network for Image Classification. ICME 2018: 1-6
[c72]
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Xiaoya Wei, Ziwei Yu, Changqing Zhang, Qinghua Hu:
Ensemble of Label Specific Features for Multi-Label Classification. ICME 2018: 1-6
[c71]
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  - conf/iconip/YangWH18
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Jingzhuo Yang, Yu Wang, Qinghua Hu:
Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning. ICONIP (3) 2018: 571-581
[c70]
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Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu:
FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060
[c69]
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Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang:
Towards Generalized and Efficient Metric Learning on Riemannian Manifold. IJCAI 2018: 3235-3241
[c68]
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Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang:
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. IJCAI 2018: 3242-3248
[c67]
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Jingzhuo Yang, Yu Wang, Shenglei Pei, Qinghua Hu:
Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data. IJCNN 2018: 1-8
[c66]
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Lirui Wei, Qinghua Hu, Mei Han, Yuwei Zhang, Chao Fan, Yunbo Rao, Jiansu Pu:
Visual Analysis for Online Communities Exploration Based on Social Data. ICS 2018: 291-301
[c65]
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Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang, Qinghua Hu:
Latent Subspace Representation for Multiclass Classification. PRICAI (1) 2018: 163-176
[i8]
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  - journals/corr/abs-1804-07437
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Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Ling, Qinghua Hu:
Vision Meets Drones: A Challenge. CoRR abs/1804.07437 (2018)
[i7]
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  - journals/corr/abs-1806-00580
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Pinlong Zhao, Zhouyu Fu, Ou Wu, Qinghua Hu, Jun Wang:
Detecting Adversarial Examples via Key-based Network. CoRR abs/1806.00580 (2018)
[i6]
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Meijun Sun, Ziqi Zhou, Qinghua Hu, Zheng Wang, Jianmin Jiang:
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection. CoRR abs/1809.07988 (2018)
[i5]
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Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, Qinghua Hu:
Unsupervised Degradation Learning for Single Image Super-Resolution. CoRR abs/1812.04240 (2018)
2017
[j110]
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Haibo Wang, Yun Wang, Qinghua Hu:
Self-adaptive robust nonlinear regression for unknown noise via mixture of Gaussians. Neurocomputing 235: 274-286 (2017)
[j109]
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Qinghua Hu, Ju-Sheng Mi, Degang Chen:
Granular Computing Based Machine Learning in the Era of Big Data. Inf. Sci. 378: 242-243 (2017)
[j108]
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Jiqiang Chen, Qinghua Hu, Xiaoping Xue, Minghu Ha, Litao Ma:
Support function machine for set-based classification with application to water quality evaluation. Inf. Sci. 388: 48-61 (2017)
[j107]
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Pengfei Zhu, Wencheng Zhu, Weizhi Wang, Wangmeng Zuo, Qinghua Hu:
Non-convex regularized self-representation for unsupervised feature selection. Image Vis. Comput. 60: 22-29 (2017)
[j106]
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Changzhong Wang, Qiang He, Mingwen Shao, Yangyang Xu, Qinghua Hu:
A unified information measure for general binary relations. Knowl. Based Syst. 135: 18-28 (2017)
[j105]
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Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
Subspace clustering guided unsupervised feature selection. Pattern Recognit. 66: 364-374 (2017)
[j104]
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Jianguang Zhang, Yahong Han, Jinhui Tang, Qinghua Hu, Jianmin Jiang:
Semi-Supervised Image-to-Video Adaptation for Video Action Recognition. IEEE Trans. Cybern. 47(4): 960-973 (2017)
[j103]
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Jianhua Dai, Qinghua Hu, Jinghong Zhang, Hu Hu, Nenggan Zheng:
Attribute Selection for Partially Labeled Categorical Data By Rough Set Approach. IEEE Trans. Cybern. 47(9): 2460-2471 (2017)
[j102]
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Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian, Yaojin Lin:
A Fitting Model for Feature Selection With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 25(4): 741-753 (2017)
[j101]
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Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li, Xindong Wu:
Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information. IEEE Trans. Fuzzy Syst. 25(6): 1491-1507 (2017)
[j100]
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Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, Xiaochun Cao:
Flexible Multi-View Dimensionality Co-Reduction. IEEE Trans. Image Process. 26(2): 648-659 (2017)
[j99]
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Jianqing Liang, Qinghua Hu, Wenwu Wang, Yahong Han:
Semisupervised Online Multikernel Similarity Learning for Image Retrieval. IEEE Trans. Multim. 19(5): 1077-1089 (2017)
[j98]
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Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu, Jianwu Dang:
Twitter summarization with social-temporal context. World Wide Web 20(2): 267-290 (2017)
[c64]
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Tao Zhang, Wei Wang, Liang Wang, Qinghua Hu:
Relevance and Coherence Based Image Caption. CCCV (1) 2017: 258-269
[c63]
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Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao:
Latent Multi-view Subspace Clustering. CVPR 2017: 4333-4341
[c62]
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Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization. ICANN (2) 2017: 340-348
[c61]
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Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang:
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. ICDM 2017: 515-524
[c60]
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Kennedy W. Wangila, Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Mixed sparsity regularized multi-view unsupervised feature selection. ICIP 2017: 1930-1934
[c59]
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Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Unsupervised feature selection by manifold regularized self-representation. ICIP 2017: 2398-2402
[c58]
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Youjiang Xu, Shichao Zhao, Yahong Han, Qinghua Hu, Fei Wu:
Top attention in line with time: A light-weight strategy. ICME 2017: 295-300
[c57]
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Ziwei Yu, Changqing Zhang, Qinghua Hu, Pengfei Zhu:
Independence regularized multi-label ensemble. ICME 2017: 853-858
[c56]
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Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu:
Multi-view Label Space Dimension Reduction. ICONIP (1) 2017: 248-258
[c55]
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Shili Peng, Qinghua Hu, Jianwu Dang, Zhichao Peng:
Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM. ICONIP (1) 2017: 279-288
[c54]
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Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu:
Hierarchical Feature Selection with Recursive Regularization. IJCAI 2017: 3483-3489
[e6]
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Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I. Communications in Computer and Information Science 771, Springer 2017, ISBN 978-981-10-7298-7 [contents]
[e5]
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Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II. Communications in Computer and Information Science 772, Springer 2017, ISBN 978-981-10-7301-4 [contents]
[e4]
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Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III. Communications in Computer and Information Science 773, Springer 2017, ISBN 978-981-10-7304-5 [contents]
2016
[j97]
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Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinkun Chen, Jie Duan:
Multi-label feature selection based on neighborhood mutual information. Appl. Soft Comput. 38: 244-256 (2016)
[j96]
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Jie Wan, Guorui Ren, Jinfu Liu, Qinghua Hu, Daren Yu:
Ultra-short-term wind speed prediction based on multi-scale predictability analysis. Clust. Comput. 19(2): 741-755 (2016)
[j95]
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Hong Shi, Yin Li, Yahong Han, Qinghua Hu:
Cluster structure preserving unsupervised feature selection for multi-view tasks. Neurocomputing 175: 686-697 (2016)
[j94]
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Shuo Zhao, Yahong Han, Quan Zou, Qinghua Hu:
Hierarchical support vector machine based structural classification with fused hierarchies. Neurocomputing 214: 86-92 (2016)
[j93]
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Jie Wan, Jinfu Liu, Guorui Ren, Yufeng Guo, Daren Yu, Qinghua Hu:
Day-Ahead Prediction of Wind Speed with Deep Feature Learning. Int. J. Pattern Recognit. Artif. Intell. 30(5): 1650011:1-1650011:20 (2016)
[j92]
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Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu, Bo Wang:
Multi-document summarization via group sparse learning. Inf. Sci. 349-350: 12-24 (2016)
[j91]
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Hong Zhao, Ping Wang, Qinghua Hu:
Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence. Inf. Sci. 366: 134-149 (2016)
[j90]
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Pengfei Zhu, Qinghua Hu, Yahong Han, Changqing Zhang, Yong Du:
Combining neighborhood separable subspaces for classification via sparsity regularized optimization. Inf. Sci. 370-371: 270-287 (2016)
[j89]
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Yaojin Lin, Qinghua Hu, Jia Zhang, Xindong Wu:
Multi-label feature selection with streaming labels. Inf. Sci. 372: 256-275 (2016)
[j88]
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Jianhua Dai, Guojie Zheng, Qinghua Hu, Maofu Liu, Huashi Su:
Decision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision making. J. Intell. Fuzzy Syst. 31(3): 1341-1353 (2016)
[j87]
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Jianhua Dai, Hu Hu, Guojie Zheng, Qinghua Hu, Huifeng Han, Hong Shi:
Attribute reduction in interval-valued information systems based on information entropies. Frontiers Inf. Technol. Electron. Eng. 17(9): 919-928 (2016)
[j86]
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Jianhua Dai, Huifeng Han, Qinghua Hu, Maofu Liu:
Discrete particle swarm optimization approach for cost sensitive attribute reduction. Knowl. Based Syst. 102: 116-126 (2016)
[j85]
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Shenglei Pei, Qinghua Hu, Chao Chen:
Multivariate decision trees with monotonicity constraints. Knowl. Based Syst. 112: 14-25 (2016)
[j84]
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Eric C. C. Tsang, Qinghua Hu, Degang Chen:
Feature and instance reduction for PNN classifiers based on fuzzy rough sets. Int. J. Mach. Learn. Cybern. 7(1): 1-11 (2016)
[j83]
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Jianqing Liang, Yahong Han, Qinghua Hu:
Semi-supervised image clustering with multi-modal information. Multim. Syst. 22(2): 149-160 (2016)
[j82]
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Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang:
Convolutional neural random fields for action recognition. Pattern Recognit. 59: 213-224 (2016)
[j81]
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Linhao Li, Ping Wang, Qinghua Hu, Sijia Cai:
Efficient Background Modeling Based on Sparse Representation and Outlier Iterative Removal. IEEE Trans. Circuits Syst. Video Technol. 26(2): 278-289 (2016)
[j80]
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Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, Eric C. C. Tsang:
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. IEEE Trans. Cybern. 46(12): 3073-3085 (2016)
[c53]
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Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
Coupled Dictionary Learning for Unsupervised Feature Selection. AAAI 2016: 2422-2428
[c52]
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  - conf/apweb/PanYHS16
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Jing Pan, Yajun Yang, Qinghua Hu, Hong Shi:
A Label Inference Method Based on Maximal Entropy Random Walk over Graphs. APWeb (1) 2016: 506-518
[c51]
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  - conf/ccbr/GaoZHZ16
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Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Unsupervised Subspace Learning via Analysis Dictionary Learning. CCBR 2016: 556-563
[c50]
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  - conf/ccpr/XuHZCL16
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Lei Xu, Qinghua Hu, Xisheng Zhang, Yanshuo Chen, Changrui Liao:
AdaUK-Means: An Ensemble Boosting Clustering Algorithm on Uncertain Objects. CCPR (1) 2016: 27-41
[c49]
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Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Robust Multi-label Feature Selection with Missing Labels. CCPR (1) 2016: 752-765
[c48]
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Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Qinghua Hu:
A Self-Representation Induced Classifier. IJCAI 2016: 2442-2448
[c47]
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Man Yu, Zongxia Xie, Hong Shi, Qinghua Hu:
Locally Weighted Ensemble Learning for Regression. PAKDD (1) 2016: 65-76
[c46]
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Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu:
Multi-view Representative and Informative Induced Active Learning. PRICAI 2016: 139-151
[c45]
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Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Set to Set Visual Tracking. PRICAI 2016: 700-712
[c44]
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  - conf/waim/DaiHHHZW16
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Jianhua Dai, Huifeng Han, Hu Hu, Qinghua Hu, Jinghong Zhang, Wentao Wang:
DualPOS: A Semi-supervised Attribute Selection Approach for Symbolic Data Based on Rough Set Theory. WAIM (2) 2016: 392-402
[c43]
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Jianhua Dai, Huifeng Han, Hu Hu, Qinghua Hu, Bingjie Wei, Yuejun Yan:
Semi-supervised Clustering Based on Artificial Bee Colony Algorithm with Kernel Strategy. WAIM (2) 2016: 403-414
[c42]
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Kaizhou Li, Hong Shi, Qinghua Hu:
Complex convolution Kernel for deep networks. WCSP 2016: 1-5
2015
[j79]
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Changzhong Wang, Mingwen Shao, Baiqing Sun, Qinghua Hu:
An improved attribute reduction scheme with covering based rough sets. Appl. Soft Comput. 26: 235-243 (2015)
[j78]
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Quan Zou, Qinghua Hu, Maozu Guo, Guohua Wang:
HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy. Bioinform. 31(15): 2475-2481 (2015)
[j77]
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Shiguang Zhang, Qinghua Hu, Zongxia Xie, Ju-Sheng Mi:
Kernel ridge regression for general noise model with its application. Neurocomputing 149: 836-846 (2015)
[j76]
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Lei Xu, Qinghua Hu, Edward Hung, Baowen Chen, Xu Tan, Changrui Liao:
Large margin clustering on uncertain data by considering probability distribution similarity. Neurocomputing 158: 81-89 (2015)
[j75]
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Yaojin Lin, Qinghua Hu, Jinghua Liu, Jie Duan:
Multi-label feature selection based on max-dependency and min-redundancy. Neurocomputing 168: 92-103 (2015)
[j74]
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Yucan Zhou, Qinghua Hu, Jie Liu, Yuan Jia:
Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition. Neurocomputing 168: 408-417 (2015)
[j73]
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Zhihua Chen, Wangmeng Zuo, Qinghua Hu, Liang Lin:
Kernel sparse representation for time series classification. Inf. Sci. 292: 15-26 (2015)
[j72]
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Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Qinghua Hu, Simon C. K. Shiu:
Unsupervised feature selection by regularized self-representation. Pattern Recognit. 48(2): 438-446 (2015)
[j71]
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Shili Peng, Qinghua Hu, Yinli Chen, Jianwu Dang:
Improved support vector machine algorithm for heterogeneous data. Pattern Recognit. 48(6): 2072-2083 (2015)
[j70]
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Lei Zhao, Qinghua Hu, Wenwu Wang:
Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and Sparse Group LASSO. IEEE Trans. Multim. 17(11): 1936-1948 (2015)
[c41]
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Lifeng Yang, Qinghua Hu, Lei Zhao, Yin Li:
Salience based hierarchical fuzzy representation for object recognition. ICIP 2015: 4873-4877
[c40]
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Lei Zhao, Qinghua Hu, Yucan Zhou:
Heterogeneous Features Integration via Semi-supervised Multi-modal Deep Networks. ICONIP (4) 2015: 11-19
[c39]
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Chang Feng, Qinghua Hu, Shizhong Liao:
Random Feature Mapping with Signed Circulant Matrix Projection. IJCAI 2015: 3490-3496
[c38]
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Yucan Zhou, Xiaowei Cui, Qinghua Hu, Yuan Jia:
Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification. IJCNN 2015: 1-8
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Xiaoxue Wang, Shuang An, Hong Shi, Qinghua Hu:
Fuzzy Rough Decision Trees for Multi-label Classification. RSFDGrC 2015: 207-217
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Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala-Busse:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings. Lecture Notes in Computer Science 9437, Springer 2015, ISBN 978-3-319-25782-2 [contents]
2014
[j69]
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Changzhong Wang, Degang Chen, Qinghua Hu:
Fuzzy information systems and their homomorphisms. Fuzzy Sets Syst. 249: 128-138 (2014)
[j68]
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Shuang An, Hong Shi, Qinghua Hu, Jianwu Dang:
Fuzzy Rough Decision Trees. Fundam. Informaticae 132(3): 381-399 (2014)
[j67]
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Fan Min, Qinghua Hu, William Zhu:
Feature selection with test cost constraint. Int. J. Approx. Reason. 55(1): 167-179 (2014)
[j66]
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Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang:
Set-based granular computing: A lattice model. Int. J. Approx. Reason. 55(3): 834-852 (2014)
[j65]
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Weiwei Pan, Qinghua Hu, Yanping Song, Daren Yu:
Feature selection for monotonic classification via maximizing monotonic dependency. Int. J. Comput. Intell. Syst. 7(3): 543-555 (2014)
[j64]
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Chao Xu, Qinghua Hu, Guangquan Xu, Zhiyong Feng:
An approach to facial expression analysis with multi-model interactions. Int. J. Comput. Math. 91(11): 2329-2340 (2014)
[j63]
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Changzhong Wang, Qiang He, Degang Chen, Qinghua Hu:
A novel method for attribute reduction of covering decision systems. Inf. Sci. 254: 181-196 (2014)
[j62]
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Pengfei Zhu, Qinghua Hu, Wangmeng Zuo, Meng Yang:
Multi-granularity distance metric learning via neighborhood granule margin maximization. Inf. Sci. 282: 321-331 (2014)
[j61]
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Shuang An, Hong Shi, Qinghua Hu, Xiaoqi Li, Jianwu Dang:
Fuzzy rough regression with application to wind speed prediction. Inf. Sci. 282: 388-400 (2014)
[j60]
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Lei Xu, Qinghua Hu, Edward Hung, Chi-Cheong Szeto:
A heuristic approach to effective and efficient clustering on uncertain objects. Knowl. Based Syst. 66: 112-125 (2014)
[j59]
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Qinghua Hu, Leijun Li, Xiangqian Wu, Gerald Schaefer, Daren Yu:
Exploiting diversity for optimizing margin distribution in ensemble learning. Knowl. Based Syst. 67: 90-104 (2014)
[j58]
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Wei Pan, Peijun Ma, Qinghua Hu, Xiaohong Su, Chaoqi Ma:
Comparative analysis on margin based feature selection algorithms. Int. J. Mach. Learn. Cybern. 5(3): 339-367 (2014)
[j57]
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Qinghua Hu, Shiguang Zhang, Zongxia Xie, Ju-Sheng Mi, Jie Wan:
Noise model based v-support vector regression with its application to short-term wind speed forecasting. Neural Networks 57: 1-11 (2014)
[j56]
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Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu:
Exploration of classification confidence in ensemble learning. Pattern Recognit. 47(9): 3120-3131 (2014)
[j55]
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Ruifang He, Yang Zhang, Tuo Li, Qinghua Hu:
Improved conditional random fields model with multi-trigger embedding for Chinese event extraction. World Wide Web 17(5): 1029-1049 (2014)
[c36]
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Gerald Schaefer, Niraj P. Doshi, Qinghua Hu, Aboul Ella Hassanien:
Classification of HEp-2 Cell Images Using Compact Multi-Scale Texture Information and Margin Distribution Based Bagging. AMLTA 2014: 299-308
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Gerald Schaefer, Niraj P. Doshi, Shao Ying Zhu, Qinghua Hu:
Analysis of HEp-2 images using MD-LBP and MAD-bagging. EMBC 2014: 4248-4251
[c34]
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Yucan Zhou, Qinghua Hu, Jie Liu, Yuan Jia:
Learning conditional random field with hierarchical representations for dialogue act recognition. INTERSPEECH 2014: 1920-1923
[c33]
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Jianguang Zhang, Yahong Han, Jinhui Tang, Qinghua Hu, Jianmin Jiang:
What Can We Learn about Motion Videos from Still Images? ACM Multimedia 2014: 973-976
[c32]
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Lingjun Zhang, Qinghua Hu, Yucan Zhou, Xiaoxue Wang:
Multi-label Attribute Evaluation Based on Fuzzy Rough Sets. RSCTC 2014: 100-108
[c31]
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Lingjun Zhang, Qinghua Hu, Jie Duan, Xiaoxue Wang:
Multi-label Feature Selection with Fuzzy Rough Sets. RSKT 2014: 121-128
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Duoqian Miao, Witold Pedrycz, Dominik Slezak, Georg Peters, Qinghua Hu, Ruizhi Wang:
Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings. Lecture Notes in Computer Science 8818, Springer 2014, ISBN 978-3-319-11739-3 [contents]
[i4]
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Linhao Li, Ping Wang, Qinghua Hu, Sijia Cai:
A Sparse Outliers Iterative Removal Algorithm to Model the Background in the Video Sequences. CoRR abs/1401.6013 (2014)
2013
[j54]
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Changzhong Wang, Degang Chen, Qiang He, Qinghua Hu:
A Comparative Study of Ordered and Covering Information Systems. Fundam. Informaticae 123(3): 351-363 (2013)
[j53]
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Leijun Li, Bo Zou, Qinghua Hu, Xiangqian Wu, Daren Yu:
Dynamic classifier ensemble using classification confidence. Neurocomputing 99: 581-591 (2013)
[j52]
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Pengfei Zhu, Qinghua Hu:
Adaptive neighborhood granularity selection and combination based on margin distribution optimization. Inf. Sci. 249: 1-12 (2013)
[j51]
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Pengfei Zhu, Qinghua Hu:
Rule extraction from support vector machines based on consistent region covering reduction. Knowl. Based Syst. 42: 1-8 (2013)
[j50]
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Wei Pan, Qinghua Hu, Peijun Ma, Xiaohong Su:
Robust feature selection based on regularized brownboost loss. Knowl. Based Syst. 54: 180-198 (2013)
[j49]
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Changzhong Wang, Degang Chen, Qinghua Hu:
On rough approximations of groups. Int. J. Mach. Learn. Cybern. 4(5): 445-449 (2013)
[j48]
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Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, Qinghua Hu:
Robust Object Tracking Via Active Feature Selection. IEEE Trans. Circuits Syst. Video Technol. 23(11): 1957-1967 (2013)
[j47]
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Eric C. C. Tsang, Changzhong Wang, Degang Chen, Congxin Wu, Qinghua Hu:
Communication Between Information Systems Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 21(3): 527-540 (2013)
[c30]
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Yucan Zhou, Yuan Jia, Qinghua Hu, Aijun Li:
The effect of accent in recognizing dialog act in Chinese. O-COCOSDA/CASLRE 2013: 1-6
[c29]
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Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu:
Exploring Margin for Dynamic Ensemble Selection. RSKT 2013: 178-187
[p1]
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Qinghua Hu, Leijun Li, Pengfei Zhu:
Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning. Rough Sets and Intelligent Systems (1) 2013: 277-307
2012
[j46]
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Shuang An, Qinghua Hu, Daren Yu, Jinfu Liu:
Soft Minimum-Enclosing-Ball Based Robust Fuzzy Rough Sets. Fundam. Informaticae 115(2-3): 189-202 (2012)
[j45]
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Gerald Schaefer, Qinghua Hu, Huiyu Zhou, James F. Peters, Aboul Ella Hassanien:
Rough C-means and Fuzzy Rough C-means for Colour Quantisation. Fundam. Informaticae 119(1): 113-120 (2012)
[j44]
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Zongxia Xie, Yong Xu, Qinghua Hu, Pengfei Zhu:
Margin distribution based bagging pruning. Neurocomputing 85: 11-19 (2012)
[j43]
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Changzhong Wang, Degang Chen, Baiqing Sun, Qinghua Hu:
Communication between information systems with covering based rough sets. Inf. Sci. 216: 17-33 (2012)
[j42]
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Qinghua Hu, Weiwei Pan, Yanping Song, Daren Yu:
Large-margin feature selection for monotonic classification. Knowl. Based Syst. 31: 8-18 (2012)
[j41]
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Qinghua Hu, Weiwei Pan, Lei Zhang, David Zhang, Yanping Song, Maozu Guo, Daren Yu:
Feature Selection for Monotonic Classification. IEEE Trans. Fuzzy Syst. 20(1): 69-81 (2012)
[j40]
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Degang Chen, Lei Zhang, Suyun Zhao, Qinghua Hu, Pengfei Zhu:
A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 20(2): 385-389 (2012)
[j39]
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Qinghua Hu, Lei Zhang, Shuang An, David Zhang, Daren Yu:
On Robust Fuzzy Rough Set Models. IEEE Trans. Fuzzy Syst. 20(4): 636-651 (2012)
[j38]
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Qinghua Hu, Xunjian Che, Lei Zhang, David Zhang, Maozu Guo, Daren Yu:
Rank Entropy-Based Decision Trees for Monotonic Classification. IEEE Trans. Knowl. Data Eng. 24(11): 2052-2064 (2012)
[c28]
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Pengfei Zhu, Lei Zhang, Qinghua Hu, Simon C. K. Shiu:
Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization. ECCV (1) 2012: 822-835
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Fan Min, Qinghua Hu, William Zhu:
Granular association rules with four subtypes. GrC 2012: 353-358
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Jian Sun, Leijun Li, Qinghua Hu:
Fault diagnosis based on pruned ensemble. ICMLC 2012: 35-40
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Chao Xu, Guangquan Xu, Qinghua Hu, Zhiyong Feng:
Facial Expressions Analysis Based on Cooperative Neuro-computing Interactions. IScIDE 2012: 107-114
[c24]
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Shuang An, Qinghua Hu:
Fuzzy Rough Decision Trees. RSCTC 2012: 397-404
[i3]
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  - journals/corr/abs-1205-2541
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Changzhong Wang, Baiqing Sun, Qinghua Hu:
An improved approach to attribute reduction with covering rough sets. CoRR abs/1205.2541 (2012)
[i2]
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Fan Min, Qinghua Hu, William Zhu:
Granular association rules on two universes with four measures. CoRR abs/1209.5598 (2012)
[i1]
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Fan Min, Qinghua Hu, William Zhu:
Feature selection with test cost constraint. CoRR abs/1209.5601 (2012)
2011
[j37]
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Qinghua Hu, Lei Zhang, David Zhang, Wei Pan, Shuang An, Witold Pedrycz:
Measuring relevance between discrete and continuous features based on neighborhood mutual information. Expert Syst. Appl. 38(9): 10737-10750 (2011)
[j36]
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Qinghua Hu, Shuang An, Xiao Yu, Daren Yu:
Robust fuzzy rough classifiers. Fuzzy Sets Syst. 183(1): 26-43 (2011)
[j35]
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Yong Du, Qinghua Hu, Degang Chen, Peijun Ma:
Kernelized Fuzzy Rough Sets Based Yawn Detection for Driver Fatigue Monitoring. Fundam. Informaticae 111(1): 65-79 (2011)
[j34]
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Changzhong Wang, Degang Chen, Chong Wu, Qinghua Hu:
Data compression with homomorphism in covering information systems. Int. J. Approx. Reason. 52(4): 519-525 (2011)
[j33]
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Daren Yu, Shuang An, Qinghua Hu:
Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection. Int. J. Comput. Intell. Syst. 4(4): 619-633 (2011)
[j32]
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Tingquan Deng, Chengdong Yang, Qinghua Hu:
Feature Selection in Decision Systems Based on Conditional Knowledge Granularity. Int. J. Comput. Intell. Syst. 4(4): 655-671 (2011)
[j31]
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Qinghua Hu, Pengfei Zhu, Yongbin Yang, Daren Yu:
Large-margin nearest neighbor classifiers via sample weight learning. Neurocomputing 74(4): 656-660 (2011)
[j30]
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Qiang He, Zongxia Xie, Qinghua Hu, Congxin Wu:
Neighborhood based sample and feature selection for SVM classification learning. Neurocomputing 74(10): 1585-1594 (2011)
[j29]
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Daren Yu, Xiao Yu, Qinghua Hu, Jinfu Liu, Anqi Wu:
Dynamic time warping constraint learning for large margin nearest neighbor classification. Inf. Sci. 181(13): 2787-2796 (2011)
[j28]
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Degang Chen, Qinghua Hu, Yongping Yang:
Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets. Inf. Sci. 181(23): 5169-5179 (2011)
[j27]
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Yong Du, Qinghua Hu, Pengfei Zhu, Peijun Ma:
Rule learning for classification based on neighborhood covering reduction. Inf. Sci. 181(24): 5457-5467 (2011)
[j26]
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Qinghua Hu, Daren Yu, Witold Pedrycz, Degang Chen:
Kernelized Fuzzy Rough Sets and Their Applications. IEEE Trans. Knowl. Data Eng. 23(11): 1649-1667 (2011)
[c23]
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Zongxia Xie, Yong Xu, Qinghua Hu:
Visual Object Recognition with Bagging of One Class Support Vector Machines. IBICA 2011: 99-102
[c22]
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Lei Zhang, Pengfei Zhu, Qinghua Hu, David Zhang:
A linear subspace learning approach via sparse coding. ICCV 2011: 755-761
[c21]
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Shuang An, Qinghua Hu, Daren Yu:
Case-Based Classifiers with Fuzzy Rough Sets. RSKT 2011: 172-177
[c20]
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Yong Du, Qinghua Hu, Peijun Ma, Xiaohong Su:
Driver Status Recognition by Neighborhood Covering Rules. RSKT 2011: 327-336
2010
[j25]
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Qinghua Hu, Maozu Guo, Daren Yu, Jinfu Liu:
Information entropy for ordinal classification. Sci. China Inf. Sci. 53(6): 1188-1200 (2010)
[j24]
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Changzhong Wang, Degang Chen, Qinghua Hu:
Some invariant properties of ordered information systems under homomorphism. Sci. China Inf. Sci. 53(9): 1816-1825 (2010)
[j23]
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Jin-Mao Wei, Xiao-Jie Yuan, Qinghua Hu, Shu-Qin Wang:
A novel measure for evaluating classifiers. Expert Syst. Appl. 37(5): 3799-3809 (2010)
[j22]
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Qinghua Hu, Pengfei Zhu, Jinfu Liu, Yongbin Yang, Daren Yu:
Feature Selection via Maximizing Fuzzy Dependency. Fundam. Informaticae 98(2-3): 167-181 (2010)
[j21]
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Qinghua Hu, Lei Zhang, Degang Chen, Witold Pedrycz, Daren Yu:
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications. Int. J. Approx. Reason. 51(4): 453-471 (2010)
[j20]
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Qinghua Hu, Xunjian Che, Lei Zhang, Daren Yu:
Feature evaluation and selection based on neighborhood soft margin. Neurocomputing 73(10-12): 2114-2124 (2010)
[j19]
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Qinghua Hu, Daren Yu, Maozu Guo:
Fuzzy preference based rough sets. Inf. Sci. 180(10): 2003-2022 (2010)
[j18]
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Qinghua Hu, Shuang An, Daren Yu:
Soft fuzzy rough sets for robust feature evaluation and selection. Inf. Sci. 180(22): 4384-4400 (2010)
[j17]
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Qinghua Hu, Wei Pan, Shuang An, Peijun Ma, Jin-Mao Wei:
An efficient gene selection technique for cancer recognition based on neighborhood mutual information. Int. J. Mach. Learn. Cybern. 1(1-4): 63-74 (2010)
[j16]
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Qinghua Hu, Witold Pedrycz, Daren Yu, Jun Lang:
Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization. IEEE Trans. Syst. Man Cybern. Part B 40(1): 137-150 (2010)
[c19]
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Pengfei Zhu, Qinghua Hu, Yongbin Yang:
Weighted Nearest Neighbor Classification via Maximizing Classification Consistency. RSCTC 2010: 347-355
[c18]
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Shuang An, Qinghua Hu, Daren Yu:
A Robust Fuzzy Rough Set Model Based on Minimum Enclosing Ball. RSKT 2010: 102-109
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Marcin S. Szczuka, Marzena Kryszkiewicz, Sheela Ramanna, Richard Jensen, Qinghua Hu:
Rough Sets and Current Trends in Computing - 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. Proceedings. Lecture Notes in Computer Science 6086, Springer 2010, ISBN 978-3-642-13528-6 [contents]

2000 – 2009

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2009
[c17]
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Qinghua Hu, Xunjian Che, Jinfu Liu:
Feature Selection via Maximizing Neighborhood Soft Margin. ACML 2009: 150-161
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Gerald Schaefer, Huiyu Zhou, Qinghua Hu, Aboul Ella Hassanien:
Rough Image Colour Quantisation. RSFDGrC 2009: 217-222
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Qinghua Hu, Degang Chen, Daren Yu, Witold Pedrycz:
Kernelized Fuzzy Rough Sets. RSKT 2009: 304-311
2008
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Qinghua Hu, Daren Yu, Zongxia Xie:
Neighborhood classifiers. Expert Syst. Appl. 34(2): 866-876 (2008)
[j14]
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Jinfu Liu, Qinghua Hu, Daren Yu:
A weighted rough set based method developed for class imbalance learning. Inf. Sci. 178(4): 1235-1256 (2008)
[j13]
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Changzhong Wang, Congxin Wu, Degang Chen, Qinghua Hu, Chong Wu:
Communicating between information systems. Inf. Sci. 178(16): 3228-3239 (2008)
[j12]
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Qinghua Hu, Daren Yu, Jinfu Liu, Congxin Wu:
Neighborhood rough set based heterogeneous feature subset selection. Inf. Sci. 178(18): 3577-3594 (2008)
[j11]
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Qinghua Hu, Jinfu Liu, Daren Yu:
Mixed feature selection based on granulation and approximation. Knowl. Based Syst. 21(4): 294-304 (2008)
[j10]
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Jinfu Liu, Qinghua Hu, Daren Yu:
A comparative study on rough set based class imbalance learning. Knowl. Based Syst. 21(8): 753-763 (2008)
[j9]
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Qinghua Hu, Zongxia Xie, Daren Yu:
Comments on "Fuzzy Probabilistic Approximation Spaces and Their Information Measures". IEEE Trans. Fuzzy Syst. 16(2): 549-551 (2008)
[j8]
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Guoyin Wang, Qinghua Zhang, Houkuan Huang, Dongyi Ye, Qinghua Hu, Xuegang Hu, Zhongzhi Shi, Yongli Li, Lin Shang, Liping An, Ying Sai, Shanben Chen, Jiye Liang, Keyun Qin, Huanglin Zeng, Keming Xie, Duoqian Miao, Fan Min, Zhaocong Wu, Wei-Zhi Wu, Jianhua Dai:
Research on Rough Set Theory and Applications in China. Trans. Rough Sets 8: 352-395 (2008)
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Shuang An, Qinghua Hu, Daren Yu:
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection. GrC 2008: 101-106
[c13]
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Qinghua Hu, Daren Yu, Congxin Wu:
Fuzzy Preference Relation Rough Sets. GrC 2008: 300-305
[c12]
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Qinghua Hu, Jinfu Liu, Daren Yu:
Stability Analysis on Rough Set Based Feature Evaluation. RSKT 2008: 88-96
2007
[j7]
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Daren Yu, Qinghua Hu, Congxin Wu:
Uncertainty measures for fuzzy relations and their applications. Appl. Soft Comput. 7(3): 1135-1143 (2007)
[j6]
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Degang Chen, Changzhong Wang, Qinghua Hu:
A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets. Inf. Sci. 177(17): 3500-3518 (2007)
[j5]
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Qinghua Hu, Zongxia Xie, Daren Yu:
Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation. Pattern Recognit. 40(12): 3509-3521 (2007)
[j4]
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Qinghua Hu, Daren Yu, Zongxia Xie, Xiaodong Li:
EROS: Ensemble rough subspaces. Pattern Recognit. 40(12): 3728-3739 (2007)
[c11]
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Qinghua Hu, Hui Zhao, Zongxia Xie, Daren Yu:
Consistency Based Attribute Reduction. PAKDD 2007: 96-107
[c10]
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Jinfu Liu, Qinghua Hu, Daren Yu:
Weighted Rough Set Learning: Towards a Subjective Approach. PAKDD 2007: 696-703
[c9]
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Xueshen Sui, Qinghua Hu, Daren Yu, Zongxia Xie, Zhongying Qi:
A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM. RSFDGrC 2007: 387-394
[c8]
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Qinghua Hu, Daren Yu, Zongxia Xie:
Selecting Samples and Features for SVM Based on Neighborhood Model. RSFDGrC 2007: 508-517
2006
[j3]
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Qinghua Hu, Daren Yu, Zongxia Xie:
Information-preserving hybrid data reduction based on fuzzy-rough techniques. Pattern Recognit. Lett. 27(5): 414-423 (2006)
[j2]
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Qinghua Hu, Daren Yu, Zongxia Xie, Jinfu Liu:
Fuzzy Probabilistic Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. 14(2): 191-201 (2006)
[c7]
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Zongxia Xie, Qinghua Hu, Daren Yu:
Improved Feature Selection Algorithm Based on SVM and Correlation. ISNN (1) 2006: 1373-1380
[c6]
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Qinghua Hu, Xiaodong Li, Daren Yu:
Analysis on Classification Performance of Rough Set Based Reducts. PRICAI 2006: 423-433
2005
[c5]
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Qinghua Hu, Daren Yu:
An Improved Clustering Algorithm for Information Granulation. FSKD (1) 2005: 494-504
[c4]
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Qinghua Hu, Daren Yu:
Diversity Measure for Multiple Classifier Systems. FSKD (1) 2005: 1261-1265
[c3]
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Zongxia Xie, Qinghua Hu, Daren Yu:
Fuzzy Output Support Vector Machines for Classification. ICNC (3) 2005: 1190-1197
[c2]
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Qinghua Hu, Daren Yu, Ming-Yang Wang:
Constructing Rough Decision Forests. RSFDGrC (2) 2005: 147-156
[c1]
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Qinghua Hu, Daren Yu, Zongxia Xie:
Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique. SDM 2005: 195-204
2004
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Qinghua Hu, Daren Yu:
Entropies Of Fuzzy Indiscernibility Relation And Its Operations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(5): 575-589 (2004)

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