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2020 – today
- 2025
- [j89]Kaiyi Xu, Minhui Wang, Xin Zou, Jingjing Liu, Ao Wei, Jiajia Chen, Chang Tang:
HSTrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects. Neural Networks 181: 106779 (2025) - 2024
- [j88]Zixiao Jin, Minhui Wang, Chang Tang, Xiao Zheng, Wen Zhang, Xiaofeng Sha, Shan An:
Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion. Comput. Biol. Medicine 169: 107904 (2024) - [j87]Wei Feng, Minhui Wang, Chang Tang, Weiying Xie, Xianju Li, Xiao Zheng, Jiangfeng Xu:
Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering. Eng. Appl. Artif. Intell. 132: 107911 (2024) - [j86]Guanghao Yin, Yuanyuan Liu, Tengfei Liu, Haoyu Zhang, Fang Fang, Chang Tang, Liangxiao Jiang:
Token-disentangling Mutual Transformer for multimodal emotion recognition. Eng. Appl. Artif. Intell. 133: 108348 (2024) - [j85]Zixiao Jin, Minhui Wang, Xiao Zheng, Jiajia Chen, Chang Tang:
Drug side effects prediction via cross attention learning and feature aggregation. Expert Syst. Appl. 248: 123346 (2024) - [j84]Wenqi Yang, Minhui Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Kunlun He:
Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion. Inf. Fusion 107: 102323 (2024) - [j83]Guanghui Yue, Guibin Zhuo, Weiqing Yan, Tianwei Zhou, Chang Tang, Peng Yang, Tianfu Wang:
Boundary uncertainty aware network for automated polyp segmentation. Neural Networks 170: 390-404 (2024) - [j82]Xiaogao Yang, Deqiong Ding, Fei Xia, Dan Zhuang, Chang Tang:
Cube is a good form: Hyperspectral band selection via multi-dimensional and high-order structure preserved clustering. Neural Networks 179: 106531 (2024) - [j81]Weixuan Liang, Chang Tang, Xinwang Liu, Yong Liu, Jiyuan Liu, En Zhu, Kunlun He:
On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6935-6947 (2024) - [j80]Jian Li, Chuankun Li, Xiao Zheng, Xinwang Liu, Chang Tang:
Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images. Remote. Sens. 16(16): 2978 (2024) - [j79]Weiqing Yan, Shile Liu, Chang Tang, Wujie Zhou:
PiSFANet: Pillar Scale-Aware Feature Aggregation Network for Real-Time 3D Pedestrian Detection. IEEE Signal Process. Lett. 31: 2000-2004 (2024) - [j78]Jian Zhu, Zhangmin Huang, Lei Liu, Chang Tang, Li-Rong Dai:
Boosted Curriculum Multi-View Hashing for Multimedia Retrieval. IEEE Signal Process. Lett. 31: 2065-2069 (2024) - [j77]Weiqing Yan, Xinying Zhao, Guanghui Yue, Jinlai Ren, Jindong Xu, Zhaowei Liu, Chang Tang:
Diversity-Induced Bipartite Graph Fusion for Multiview Graph Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2592-2601 (2024) - [j76]Renxiang Guan, Zihao Li, Wenxuan Tu, Jun Wang, Yue Liu, Xianju Li, Chang Tang, Ruyi Feng:
Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j75]Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang:
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection With Patch-Level Annotations. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j74]Qingren Yao, Yuan Zhou, Chang Tang, Wei Xiang, Gang Zheng:
End-to-End Hyperspectral Image Change Detection Based on Band Selection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j73]Dan Yang, Shijun Li, Nan Sun, Chang Tang, Yuyu Zhao, Bin Xu:
A Portable EIT System for Gesture Recognition With Feature Selection and ANN Implantation. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j72]Shuhan Huang, Minhui Wang, Xiao Zheng, Jiajia Chen, Chang Tang:
Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28(4): 2416-2427 (2024) - [j71]Xin Zou, Xiao He, Xiao Zheng, Wei Zhang, Jiajia Chen, Chang Tang:
DAI-Net: Dual Adaptive Interaction Network for Coordinated Medication Recommendation. IEEE J. Biomed. Health Informatics 28(10): 6201-6211 (2024) - [j70]Weiqing Yan, Long Xu, Hao Liu, Chang Tang, Wujie Zhou:
High-Order Structural Relation Distillation Networks From LiDAR to Monocular Image 3D Detectors. IEEE Trans. Intell. Veh. 9(2): 3593-3604 (2024) - [j69]Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu:
Fast Approximated Multiple Kernel K-Means. IEEE Trans. Knowl. Data Eng. 36(11): 6171-6180 (2024) - [j68]Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, Xinwang Liu:
Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection. IEEE Trans. Knowl. Data Eng. 36(11): 6641-6652 (2024) - [j67]Wenqi Yang, Chang Tang, Xiao Zheng, Xinzhong Zhu, Xinwang Liu:
Eigenvalue Ratio Inspired Partition Learning and Fusion for Multiple Kernel Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 8135-8147 (2024) - [j66]Yanran Zhu, Xiao He, Chang Tang, Xinwang Liu, Yuanyuan Liu, Kunlun He:
Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 8889-8900 (2024) - [j65]Jun Wang, Chang Tang, Zhiguo Wan, Wei Zhang, Kun Sun, Albert Y. Zomaya:
Efficient and Effective One-Step Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12224-12235 (2024) - [c31]Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu:
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. AAAI 2024: 14017-14025 - [c30]Renxiang Guan, Zihao Li, Xianju Li, Chang Tang:
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. ICASSP 2024: 6795-6799 - [c29]Jingxin Wang, Renxiang Guan, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang:
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering. IJCNN 2024: 1-8 - [c28]Dayu Hu, Suyuan Liu, Jun Wang, Junpu Zhang, Siwei Wang, Xingchen Hu, Xinzhong Zhu, Chang Tang, Xinwang Liu:
Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation. ACM Multimedia 2024: 1456-1466 - [c27]Xiao He, Chang Tang, Xinwang Liu, Chuankun Li, Shan An, Zhenglai Li:
Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data. ACM Multimedia 2024: 8287-8295 - [i18]Jingxin Wang, Renxiang Guan, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang:
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering. CoRR abs/2404.05211 (2024) - [i17]Tingzhang Luo, Yichao Liu, Yuanyuan Liu, Andi Zhang, Xin Wang, Chang Tang, Zhe Chen:
Learning to Discover Generalized Facial Expressions. CoRR abs/2409.20098 (2024) - [i16]Xin Zou, Yizhou Wang, Yibo Yan, Sirui Huang, Kening Zheng, Junkai Chen, Chang Tang, Xuming Hu:
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. CoRR abs/2410.03577 (2024) - 2023
- [j64]Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu:
Unsupervised feature selection via multiple graph fusion and feature weight learning. Sci. China Inf. Sci. 66(5) (2023) - [j63]Huanlin Liu, Chang Tang, Yong Chen, Mingming Tang, Yan Qiu, Haonan Chen, Junling Hu:
A survivable multipath resource allocation strategy based on fragmentation-sensitive fragmentation-aware in space division multiplexing elastic optical networks. Comput. Commun. 204: 78-88 (2023) - [j62]Xinying Zhao, Weiqing Yan, Jinlai Ren, Jindong Xu, Zhaowei Liu, Guanghui Yue, Chang Tang:
Graph-filtering and high-order bipartite graph based multiview graph clustering. Digit. Signal Process. 133: 103847 (2023) - [j61]Wenqi Yang, Yansu Wang, Chang Tang, Hengjian Tong, Ao Wei, Xia Wu:
One step multi-view spectral clustering via joint adaptive graph learning and matrix factorization. Neurocomputing 524: 95-105 (2023) - [j60]Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu:
Multi-view clustering via matrix factorization assisted k-means. Neurocomputing 534: 45-54 (2023) - [j59]Kun Sun, Jinhong Yu, Wenbing Tao, Xin Li, Chang Tang, Yuhua Qian:
A unified feature-spatial cycle consistency fusion framework for robust image matching. Inf. Fusion 97: 101810 (2023) - [j58]Zhenglai Li, Chang Tang, Xiao Zheng, Zhiguo Wan, Kun Sun, Wei Zhang, Xinzhong Zhu:
Mutual structure learning for multiple kernel clustering. Inf. Sci. 647: 119445 (2023) - [j57]Yan Zhou, Huiling Shi, Yanling Zhao, Wei Ding, Jing Han, Hongyang Sun, Xianheng Zhang, Chang Tang, Wei Zhang:
Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network. J. Cloud Comput. 12(1): 53 (2023) - [j56]Yun Liu, Xiaohua Yin, Chang Tang, Guanghui Yue, Yan Wang:
A no-reference panoramic image quality assessment with hierarchical perception and color features. J. Vis. Commun. Image Represent. 95: 103885 (2023) - [j55]Xin Zou, Chang Tang, Xiao Zheng, Kun Sun, Wei Zhang, Deqiong Ding:
Inclusivity induced adaptive graph learning for multi-view clustering. Knowl. Based Syst. 267: 110424 (2023) - [j54]Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, Xinwang Liu, Jun-Jie Huang, Wei Zhang:
Multi-view subspace clustering via adaptive graph learning and late fusion alignment. Neural Networks 165: 333-343 (2023) - [j53]Chuan Tang, Xiao Zheng, Chang Tang:
Adaptive Discriminative Regions Learning Network for Remote Sensing Scene Classification. Sensors 23(2): 773 (2023) - [j52]Deqiong Ding, Dan Zhuang, Xiaogao Yang, Xiao Zheng, Chang Tang:
Latent Features Embedded Dynamic Graph Evolution Deep Clustering Network. Signal Process. 205: 108892 (2023) - [j51]Shan An, Fangru Zhou, Mei Yang, Shuang Bai, Chang Tang, Haogang Zhu:
Learning an insertion region for advertisement embedding on planes. Signal Process. Image Commun. 116: 116963 (2023) - [j50]Jun Wang, Chang Tang, Xinwang Liu, Wei Zhang, Wanqing Li, Xinzhong Zhu, Lizhe Wang, Albert Y. Zomaya:
Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection. IEEE Trans. Cybern. 53(8): 5250-5263 (2023) - [j49]Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu:
Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j48]Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, Albert Y. Zomaya:
Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j47]Chang Tang, Jun Wang, Xiao Zheng, Xinwang Liu, Weiying Xie, Xianju Li, Xinzhong Zhu:
Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j46]Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu:
Unified One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 35(6): 6449-6460 (2023) - [c26]Xiao Zheng, Chang Tang, Zhiguo Wan, Chengyu Hu, Wei Zhang:
Multi-Level Confidence Learning for Trustworthy Multimodal Classification. AAAI 2023: 11381-11389 - [c25]Jian Zhu, Wen Cheng, Yu Cui, Chang Tang, Yuyang Dai, Yong Li, Lingfang Zeng:
Central Similarity Multi-view Hashing for Multimedia Retrieval. APWeb-WAIM (2) 2023: 486-500 - [c24]Weiqing Yan, Yuanyang Zhang, Chenlei Lv, Chang Tang, Guanghui Yue, Liang Liao, Weisi Lin:
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering. CVPR 2023: 19863-19872 - [c23]Xin Zou, Chang Tang, Wei Zhang, Kun Sun, Liangxiao Jiang:
Hierarchical Attention Learning for Multimodal Classification. ICME 2023: 936-941 - [c22]Xiao He, Chang Tang, Xin Zou, Wei Zhang:
Multispectral Object Detection via Cross-Modal Conflict-Aware Learning. ACM Multimedia 2023: 1465-1474 - [c21]Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu:
DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification. ACM Multimedia 2023: 3550-3559 - [i15]Weiqing Yan, Yuanyang Zhang, Chenlei Lv, Chang Tang, Guanghui Yue, Liang Liao, Weisi Lin:
GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering. CoRR abs/2305.06799 (2023) - [i14]Zhenglai Li, Chang Tang, Xianju Li, Weiying Xie, Kun Sun, Xinzhong Zhu:
Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation. CoRR abs/2305.19513 (2023) - [i13]Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu:
Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. CoRR abs/2306.08370 (2023) - [i12]Jian Zhu, Wen Cheng, Yu Cui, Chang Tang, Yuyang Dai, Yong Li, Lingfang Zeng:
Central Similarity Multi-View Hashing for Multimedia Retrieval. CoRR abs/2308.13774 (2023) - [i11]Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang:
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations. CoRR abs/2311.09726 (2023) - [i10]Renxiang Guan, Zihao Li, Xianju Li, Chang Tang, Ruyi Feng:
Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks. CoRR abs/2312.06068 (2023) - [i9]Renxiang Guan, Zihao Li, Xianju Li, Chang Tang:
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. CoRR abs/2312.09630 (2023) - 2022
- [j45]Zheng Li, Chang Tang, Xiao Zheng, Zhenglai Li, Wei Zhang, Lijuan Cao:
Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data. Neurocomputing 501: 715-726 (2022) - [j44]Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang:
Hyperspectral band selection via region-aware latent features fusion based clustering. Inf. Fusion 79: 162-173 (2022) - [j43]Jingshan Pan, Zhiqiang Wei, Yuhan Zhao, Yan Zhou, Xunyu Lin, Wei Zhang, Chang Tang:
Enhanced FCN for farmland extraction from remote sensing image. Multim. Tools Appl. 81(26): 38123-38150 (2022) - [j42]Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu:
Graph regularized spatial-spectral subspace clustering for hyperspectral band selection. Neural Networks 153: 292-302 (2022) - [j41]Huanlin Liu, Jie Ren, Yong Chen, Junling Hu, Chang Tang, Mingming Tang:
Spectrum slicing-based fragmentation aware routing and spectrum allocation in elastic optical networks. Opt. Switch. Netw. 45: 100673 (2022) - [j40]Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Y. Zomaya, Antonella Longo:
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 955-968 (2022) - [j39]Zhenglai Li, Chang Tang, Lizhe Wang, Albert Y. Zomaya:
Remote Sensing Change Detection via Temporal Feature Interaction and Guided Refinement. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j38]Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu:
High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering. IEEE Trans. Image Process. 31: 2067-2080 (2022) - [j37]Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, Lizhe Wang:
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 34(10): 4705-4716 (2022) - [j36]Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu:
Consensus Graph Learning for Multi-View Clustering. IEEE Trans. Multim. 24: 2461-2472 (2022) - [c20]Chang Tang, Zhenglai Li, Weiqing Yan, Guanghui Yue, Wei Zhang:
Efficient Multiple Kernel Clustering via Spectral Perturbation. ACM Multimedia 2022: 1603-1611 - [c19]Weiqing Yan, Jindong Xu, Jinglei Liu, Guanghui Yue, Chang Tang:
Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering. ACM Multimedia 2022: 3403-3411 - [c18]Jing Han, Wei Zhang, Huiling Shi, Yan Zhou, Chang Tang, Jingshan Pan:
Accelerate Supercomputing through Cross-Region Interconnection. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1768-1773 - 2021
- [j35]Jingjing Liu, Ao Wei, Zhigang Guo, Chang Tang:
Global Context and Enhanced Feature Guided Residual Refinement Network for 3D Cardiovascular Image Segmentation. IEEE Access 9: 155861-155870 (2021) - [j34]Hanyu Yang, Xutao Li, Wenhao Qiang, Yuhan Zhao, Wei Zhang, Chang Tang:
A network traffic forecasting method based on SA optimized ARIMA-BP neural network. Comput. Networks 193: 108102 (2021) - [j33]Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu:
Efficient and Effective Regularized Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2634-2646 (2021) - [j32]Yongping Zhai, Junhua Wang, Jinsheng Deng, Guanghui Yue, Wei Zhang, Chang Tang:
Global context guided hierarchically residual feature refinement network for defocus blur detection. Signal Process. 183: 107996 (2021) - [j31]Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Trans. Knowl. Data Eng. 33(1): 259-270 (2021) - [j30]Chang Tang, Xinwang Liu, Shan An, Pichao Wang:
BR$^2$Net: Defocus Blur Detection Via a Bidirectional Channel Attention Residual Refining Network. IEEE Trans. Multim. 23: 624-635 (2021) - [c17]Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang:
Localized Simple Multiple Kernel K-means. ICCV 2021: 9273-9281 - [c16]Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu:
Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data. ICME 2021: 1-6 - [c15]Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu:
One Pass Late Fusion Multi-view Clustering. ICML 2021: 6850-6859 - [c14]Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya:
Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. IJCAI 2021: 3038-3044 - 2020
- [j29]Xiao Zheng, Jiajia Chen, Chang Tang, Suqin Zhou:
Single-Cell RNA-Sequencing Data Clustering via Locality Preserving Kernel Matrix Alignment. IEEE Access 8: 201577-201594 (2020) - [j28]Deqiong Ding, Fei Xia, Xiaogao Yang, Chang Tang:
Joint dictionary and graph learning for unsupervised feature selection. Appl. Intell. 50(5): 1379-1397 (2020) - [j27]Deqiong Ding, Xiaogao Yang, Fei Xia, Tiefeng Ma, Haiyun Liu, Chang Tang:
Unsupervised feature selection via adaptive hypergraph regularized latent representation learning. Neurocomputing 378: 79-97 (2020) - [j26]Yun Liu, Chang Tang, Zhi Zheng, Liyuan Lin:
No-reference stereoscopic image quality evaluator with segmented monocular features and perceptual binocular features. Neurocomputing 405: 126-137 (2020) - [j25]Weiqing Yan, Guanghui Yue, Jindong Xu, Yanwei Yu, Kai Wang, Chang Tang, Xiangrong Tong:
Shape-optimizing mesh warping method for stereoscopic panorama stitching. Inf. Sci. 511: 58-73 (2020) - [j24]Weiqing Yan, Guanghui Yue, Yuming Fang, Hua Chen, Chang Tang, Gangyi Jiang:
Perceptual objective quality assessment of stereoscopic stitched images. Signal Process. 172: 107541 (2020) - [j23]Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang:
Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. IEEE Trans. Knowl. Data Eng. 32(9): 1747-1760 (2020) - [c13]Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao:
CGD: Multi-View Clustering via Cross-View Graph Diffusion. AAAI 2020: 5924-5931 - [c12]Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya:
R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. AAAI 2020: 12063-12070 - [c11]Ning Hu, Shen Su, Chang Tang, Lulu Wang:
Wearable-sensors Based Activity Recognition for Smart Human Healthcare Using Internet of Things. IWCMC 2020: 1909-1915 - [i8]Jing Zhang, Wanqing Li, Lu Sheng, Chang Tang, Philip Ogunbona:
Unsupervised Domain Expansion from Multiple Sources. CoRR abs/2005.12544 (2020)
2010 – 2019
- 2019
- [j22]Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang:
Robust Multi-View Clustering With a Unified Weight Learning Paradigm. IEEE Access 7: 177965-177973 (2019) - [j21]Shaoyong Li, Chang Tang, Xinwang Liu, Yaping Liu, Jiajia Chen:
Dual graph regularized compact feature representation for unsupervised feature selection. Neurocomputing 331: 77-96 (2019) - [j20]Zhenglai Li, Chang Tang, Jiajia Chen, Cheng Wan, Weiqing Yan, Xinwang Liu:
Diversity and consistency learning guided spectral embedding for multi-view clustering. Neurocomputing 370: 128-139 (2019) - [j19]Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin:
Unsupervised feature selection via latent representation learning and manifold regularization. Neural Networks 117: 163-178 (2019) - [j18]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao:
Late Fusion Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2410-2423 (2019) - [j17]