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2020 – today
- 2024
[j200]Xiaoyu Li
, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie:
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artif. Intell. 328: 104065 (2024)- [j199]Peng Zhao, Qiangchang Wang, Yilong Yin:
DSPformer: discovering semantic parts with token growth and clustering for zero-shot learning. Int. J. Multim. Inf. Retr. 13(3): 27 (2024) - [j198]Xiyu Pang, Yanli Zheng, Xiushan Nie, Yilong Yin, Xi Li:
Multi-axis interactive multidimensional attention network for vehicle re-identification. Image Vis. Comput. 144: 104972 (2024) - [j197]Inam Ullah, Sumaira Hussain, Kashif Shaheed, Wajid Ali, Shahid Ali Khan, Yilong Yin, Yuling Ma:
CMGNet: Context-aware middle-layer guidance network for salient object detection. J. King Saud Univ. Comput. Inf. Sci. 36(1): 101838 (2024) - [j196]Fan Wang, Zhongyi Han, Yilong Yin:
BIAS: Bridging Inactive and Active Samples for active source free domain adaptation. Knowl. Based Syst. 284: 111151 (2024) - [j195]Qi WeiLei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin:
Correction: Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113(7): 4951 (2024) - [j194]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin:
Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113(8): 5423-5445 (2024) - [j193]Xiyu Pang, Yilong Yin, Xin Tian:
Global relational attention with a maximum suppression constraint for vehicle re-identification. Int. J. Mach. Learn. Cybern. 15(5): 1729-1742 (2024) - [j192]Jie Guo, Rui Gong, Yuling Ma, Meng Liu, Xiaoming Xi, Xiushan Nie, Yilong Yin:
A survey of micro-video analysis. Multim. Tools Appl. 83(11): 32191-32212 (2024) - [j191]Ke Sun, Xiyu Pang, Meifeng Zheng, Xiushan Nie, Xi Li, Houren Zhou, Yilong Yin:
Heterogeneous context interaction network for vehicle re-identification. Neural Networks 169: 293-306 (2024) - [j190]Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1464-1478 (2024) - [j189]Xiao Kang, Xingbo Liu, Wen Xue, Xuening Zhang, Xiushan Nie, Yilong Yin:
Discrete online cross-modal hashing with consistency preservation. Pattern Recognit. 155: 110688 (2024) - [j188]Ruifeng Wang, Guang Zhang, Xiaoming Xi, Longsheng Xu, Xiushan Nie, Jianhua Nie, Xianjing Meng, Yanwei Zhang, Xinjian Chen, Yilong Yin:
Discriminative atoms embedding relation dual network for classification of choroidal neovascularization in OCT images. Pattern Recognit. 156: 110757 (2024) - [j187]Xingbo Liu, Jiamin Li, Xiushan Nie, Xuening Zhang, Shaohua Wang, Yilong Yin:
Scalable Unsupervised Hashing via Exploiting Robust Cross-Modal Consistency. IEEE Trans. Big Data 10(4): 514-527 (2024) - [j186]Xuemei Zhang, Peng Zhao, Jinsheng Ji, Xiankai Lu, Yilong Yin:
Video Corpus Moment Retrieval via Deformable Multigranularity Feature Fusion and Adversarial Training. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6686-6698 (2024) - [j185]Peng Zhao, Xian Song, Xiaoming Xi, Xiushan Nie, Xianjing Meng, Yi Qu, Yilong Yin:
Biomarkers-Aware Asymmetric Bibranch GAN With Adaptive Memory Batch Normalization for Prediction of Anti-VEGF Treatment Response in Neovascular Age-Related Macular Degeneration. IEEE J. Biomed. Health Informatics 28(1): 557-568 (2024) - [j184]Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. IEEE Trans. Knowl. Data Eng. 36(1): 318-334 (2024) - [j183]Jin Huang, Yongshun Gong, Lu Zhang, Jian Zhang, Liqiang Nie, Yilong Yin:
Modeling Multiple Aesthetic Views for Series Photo Selection. IEEE Trans. Multim. 26: 1983-1995 (2024) - [j182]Tong Zhang, Xiankai Lu, Hao Zhang, Xiushan Nie, Yilong Yin, Jianbing Shen:
Relational Network via Cascade CRF for Video Language Grounding. IEEE Trans. Multim. 26: 8297-8311 (2024) - [j181]Jin Huang, Yongshun Gong, Yang Shi, Xinxin Zhang, Jian Zhang, Yilong Yin:
Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection. IEEE Trans. Multim. 26: 8758-8770 (2024) - [j180]Tong Zhang, Hao Fang, Hao Zhang, Jialin Gao, Xiankai Lu, Xiushan Nie, Yilong Yin:
Learning Feature Semantic Matching for Spatio-Temporal Video Grounding. IEEE Trans. Multim. 26: 9268-9279 (2024) - [j179]Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin:
Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 439-450 (2024) - [j178]Xiushan Nie, Yang Shi, Ziyu Meng, Jin Huang, Weili Guan, Yilong Yin:
Complex Scenario Image Retrieval via Deep Similarity-aware Hashing. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 93:1-93:24 (2024) - [c142]Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong:
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. AAAI 2024: 12402-12410 - [c141]Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin:
DiffAIL: Diffusion Adversarial Imitation Learning. AAAI 2024: 15447-15455 - [c140]Zheyun Qin, Xiaoming Xi, Yilong Yin:
Distribution-Aware Contrastive Learning for Robust Medical Image Segmentation. ICASSP 2024: 1991-1995 - [c139]Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin:
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. KDD 2024: 319-328 - [i39]Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin:
CLIP-driven Outliers Synthesis for few-shot OOD detection. CoRR abs/2404.00323 (2024) - [i38]Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen:
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. CoRR abs/2404.18961 (2024) - [i37]Wenjia Meng, Qian Zheng, Long Yang, Yilong Yin, Gang Pan:
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline. CoRR abs/2405.02572 (2024) - [i36]Yuxiang Zheng, Zhongyi Han, Yilong Yin, Xin Gao, Tongliang Liu:
Can We Treat Noisy Labels as Accurate? CoRR abs/2405.12969 (2024) - [i35]Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin:
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch. CoRR abs/2405.16093 (2024) - 2023
- [j177]Zhongyi Han, Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Benzheng Wei, Wei Wang, Yilong Yin:
Abductive subconcept learning. Sci. China Inf. Sci. 66(2) (2023) - [j176]Sumaira Hussain, Xiaoming Xi, Inam Ullah, Syeda Wajiha Naim, Kashif Shaheed, Cuihuan Tian, Yilong Yin:
Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors. Sci. China Inf. Sci. 66(2) (2023) - [j175]Yang Yang, Ran Bao, Weili Guo, De-Chuan Zhan, Yilong Yin, Jian Yang:
Deep visual-linguistic fusion network considering cross-modal inconsistency for rumor detection. Sci. China Inf. Sci. 66(12) (2023) - [j174]Xiyu Pang, Yilong Yin, Yanli Zheng:
Multi-Receptive Field Soft Attention Part Learning for Vehicle Re-Identification. Entropy 25(4): 594 (2023) - [j173]Zheyun Qin, Xiankai Lu, Xiushan Nie, Dongfang Liu, Yilong Yin, Wenguan Wang:
Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows. IEEE CAA J. Autom. Sinica 10(5): 1192-1208 (2023) - [j172]Kuikui Wang, Gongping Yang, Lu Yang, Yuwen Huang, Yilong Yin:
ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding. Mach. Intell. Res. 20(5): 697-706 (2023) - [j171]Zifei Jiang, Wei Li, Yan Huang, Yilong Yin, C.-C. Jay Kuo, Jingliang Peng:
PESTA: An Elastic Motion Capture Data Retrieval Method. J. Comput. Sci. Technol. 38(4): 867-884 (2023) - [j170]Xiyu Pang, Xin Tian, Xiushan Nie, Yilong Yin, Gangwu Jiang:
Vehicle re-identification based on grouping aggregation attention and cross-part interaction. J. Vis. Commun. Image Represent. 97: 103937 (2023) - [j169]Letian Wang, Quan Zhou, Yuling Ma, Jie Guo, Xiushan Nie, Yilong Yin:
Deep regional detail-aware hashing. Multim. Syst. 29(1): 153-166 (2023) - [j168]Muwei Jian, Ruihong Wang, Hong Xu, Hui Yu, Junyu Dong, Gongfa Li, Yilong Yin, Kin-Man Lam:
Robust seed selection of foreground and background priors based on directional blocks for saliency-detection system. Multim. Tools Appl. 82(1): 427-451 (2023) - [j167]Zhongyi Han, Xian-Jin Gui, Haoliang Sun, Yilong Yin, Shuo Li:
Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6460-6479 (2023) - [j166]Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin:
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11053-11066 (2023) - [j165]Ziruo Sun, Xiushan Nie, Xiaopeng Bi, Shaohua Wang, Yilong Yin:
Detail enhancement-based vehicle re-identification with orientation-guided re-ranking. Pattern Recognit. 137: 109304 (2023) - [j164]Xiao Yang, Xiaoming Xi, Kesong Wang, Liangyun Sun, Lingzhao Meng, Xiushan Nie, Lishan Qiao, Yilong Yin:
Triple-attention interaction network for breast tumor classification based on multi-modality images. Pattern Recognit. 139: 109526 (2023) - [j163]Wan Su, Zhongyi Han, Rundong He, Benzheng Wei, Xueying He, Yilong Yin:
Neighborhood-based credibility anchor learning for universal domain adaptation. Pattern Recognit. 142: 109686 (2023) - [j162]Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional prototype inference for few-shot segmentation. Pattern Recognit. 142: 109726 (2023) - [j161]Xiushan Nie, Xingbo Liu, Jie Guo, Letian Wang, Yilong Yin:
Supervised Discrete Multiple-Length Hashing for Image Retrieval. IEEE Trans. Big Data 9(1): 312-327 (2023) - [j160]Xinxin Zhang, Kaixin Xing, Qifang Liu, Da Chen, Yilong Yin:
Single Image Reflection Removal Based on Dark Channel Sparsity Prior. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6431-6442 (2023) - [j159]Lu Yang, Xing Liu, Gongping Yang, Jun Wang, Yilong Yin:
Small-Area Finger Vein Recognition. IEEE Trans. Inf. Forensics Secur. 18: 1914-1925 (2023) - [j158]Zheyun Qin, Xiankai Lu, Dongfang Liu, Xiushan Nie, Yilong Yin, Jianbing Shen, Alexander C. Loui:
Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning. IEEE Trans. Image Process. 32: 6543-6557 (2023) - [j157]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng:
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. 35(1): 686-698 (2023) - [j156]Yang Shi, Xiushan Nie, Xingbo Liu, Lu Yang, Yilong Yin:
Zero-Shot Hashing via Asymmetric Ratio Similarity Matrix. IEEE Trans. Knowl. Data Eng. 35(5): 5426-5437 (2023) - [j155]Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin:
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. IEEE Trans. Knowl. Data Eng. 35(8): 8008-8023 (2023) - [c138]Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen:
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. AAAI 2023: 2110-2118 - [c137]Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin:
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation. AAAI 2023: 7811-7820 - [c136]Wenjia Meng, Qian Zheng, Gang Pan, Yilong Yin:
Off-Policy Proximal Policy Optimization. AAAI 2023: 9162-9170 - [c135]Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin:
MetaViewer: Towards A Unified Multi-View Representation. CVPR 2023: 11590-11599 - [c134]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin:
Fine-Grained Classification with Noisy Labels. CVPR 2023: 11651-11660 - [c133]Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin:
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation. CVPR 2023: 20008-20018 - [c132]Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin:
Video Instance Segmentation Using Graph Matching Transformer. ICDM (Workshops) 2023: 995-1004 - [c131]Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng:
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. ICDM 2023: 1367-1372 - [c130]Guoqiang Wu, Chongxuan Li, Yilong Yin:
Towards Understanding Generalization of Macro-AUC in Multi-label Learning. ICML 2023: 37540-37570 - [c129]Peng Wu, Xiankai Lu, Jianbing Shen, Yilong Yin:
Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos. ACM Multimedia 2023: 105-115 - [c128]Peng Zhao, Qiangchang Wang, Yilong Yin:
M3R: Masked Token Mixup and Cross-Modal Reconstruction for Zero-Shot Learning. ACM Multimedia 2023: 3161-3171 - [c127]Ren Wang, Haoliang Sun, Xiushan Nie, Yuxiu Lin, Xiaoming Xi, Yilong Yin:
Multi-View Representation Learning via View-Aware Modulation. ACM Multimedia 2023: 3876-3886 - [c126]Rundong He, Rongxue Li, Zhongyi Han, Xihong Yang, Yilong Yin:
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. ACM Multimedia 2023: 4858-4866 - [c125]Yue Yuan, Rundong He, Zhongyi Han, Yilong Yin:
LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection. ACM Multimedia 2023: 8105-8113 - [c124]Mengyi Wang, Xinxin Zhang, Yongshun Gong, Yilong Yin:
Personalized Single Image Reflection Removal Network through Adaptive Cascade Refinement. ACM Multimedia 2023: 8204-8213 - [c123]Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu:
Unified 3D Segmenter As Prototypical Classifiers. NeurIPS 2023 - [i34]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin:
Fine-Grained Classification with Noisy Labels. CoRR abs/2303.02404 (2023) - [i33]Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin:
MetaViewer: Towards A Unified Multi-View Representation. CoRR abs/2303.06329 (2023) - [i32]Guoqiang Wu, Chongxuan Li, Yilong Yin:
Towards Understanding Generalization of Macro-AUC in Multi-label Learning. CoRR abs/2305.05248 (2023) - [i31]Qiangchang Wang, Yilong Yin:
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work. CoRR abs/2306.01929 (2023) - [i30]Ren Wang, Haoliang Sun, Qi Wei, Xiushan Nie, Yuling Ma, Yilong Yin:
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation. CoRR abs/2306.08460 (2023) - [i29]Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang:
Private-Library-Oriented Code Generation with Large Language Models. CoRR abs/2307.15370 (2023) - [i28]Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin:
DiffAIL: Diffusion Adversarial Imitation Learning. CoRR abs/2312.06348 (2023) - [i27]Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang:
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. CoRR abs/2312.07424 (2023) - 2022
- [j154]Yuling Ma, Peng Han, Huiyan Qiao, Chaoran Cui, Yilong Yin, Dehu Yu:
SPAKT: A Self-Supervised Pre-TrAining Method for Knowledge Tracing. IEEE Access 10: 72145-72154 (2022) - [j153]Xiao Yang, Xiaoming Xi, Lu Yang, Chuanzhen Xu, Zuoyong Song, Xiushan Nie, Lishan Qiao, Chenglong Li, Qinglei Shi, Yilong Yin:
Multi-modality relation attention network for breast tumor classification. Comput. Biol. Medicine 150: 106210 (2022) - [j152]Qing Xu, Xiaoming Xi, Xianjing Meng, Zheyun Qin, Xiushan Nie, Yongjian Wu, Dongsheng Zhou, Yi Qu, Chenglong Li, Yilong Yin:
Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation. Sci. China Inf. Sci. 65(9): 1-12 (2022) - [j151]Wenjie Hou, Zheyun Qin, Xiaoming Xi, Xiankai Lu, Yilong Yin:
Learning disentangled representation for self-supervised video object segmentation. Neurocomputing 481: 270-280 (2022) - [j150]Yan Zhang, Gongping Yang, Yikun Liu, Chong Wang, Yilong Yin:
An improved YOLO network for unopened cotton boll detection in the field. J. Intell. Fuzzy Syst. 42(3): 2193-2206 (2022) - [j149]Ning An, Meng Chen, Li Lian, Peng Li, Kai Zhang, Xiaohui Yu, Yilong Yin:
Enabling the interpretability of pretrained venue representations using semantic categories. Knowl. Based Syst. 235: 107623 (2022) - [j148]Ren Wang, Haoliang Sun, Xiushan Nie, Yilong Yin:
SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning. Knowl. Based Syst. 247: 108427 (2022) - [j147]Rundong He, Zhongyi Han, Yilong Yin:
Towards safe and robust weakly-supervised anomaly detection under subpopulation shift. Knowl. Based Syst. 250: 109088 (2022) - [j146]Chunyun Zhang, Tianze Wu, Yunfeng Zhang, Baolin Zhao, Tingwen Wang, Chaoran Cui, Yilong Yin:
Deep semantic-aware network for zero-shot visual urban perception. Int. J. Mach. Learn. Cybern. 13(5): 1197-1211 (2022) - [j145]Yuwen Huang, Gongping Yang, Kuikui Wang, Haiying Liu, Yilong Yin:
Robust multi-feature collective non-negative matrix factorization for ECG biometrics. Pattern Recognit. 123: 108376 (2022) - [j144]Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin:
Learning to rectify for robust learning with noisy labels. Pattern Recognit. 124: 108467 (2022) - [j143]Daoheng Li, Xiushan Nie, Xiaofeng Li, Yu Zhang, Yilong Yin:
Context-related video anomaly detection via generative adversarial network. Pattern Recognit. Lett. 156: 183-189 (2022) - [j142]Chaoran Cui, Zhen Shen, Jin Huang, Meng Chen, Mingliang Xu, Meng Wang, Yilong Yin:
Adaptive Feature Aggregation in Deep Multi-Task Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2133-2144 (2022) - [j141]Yang Shi, Xiushan Nie, Xingbo Liu, Li Zou, Yilong Yin:
Supervised Adaptive Similarity Matrix Hashing. IEEE Trans. Image Process. 31: 2755-2766 (2022) - [j140]Zhongyi Han, Haoliang Sun, Yilong Yin:
Learning Transferable Parameters for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 6424-6439 (2022) - [j139]Xingbo Liu, Xiao Kang, Xiushan Nie, Jie Guo, Shaohua Wang, Yilong Yin:
Learning Binary Semantic Embedding for Large-Scale Breast Histology Image Analysis. IEEE J. Biomed. Health Informatics 26(7): 3240-3250 (2022) - [j138]Junya Teng, Xiankai Lu, Yongshun Gong, Xinfang Liu, Xiushan Nie, Yilong Yin:
Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval. IEEE Trans. Multim. 24: 1141-1151 (2022) - [j137]Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin:
Embedding Hierarchical Structures for Venue Category Representation. ACM Trans. Inf. Syst. 40(3): 57:1-57:29 (2022) - [j136]Xiaoli Liu, Jianqin Yin, Huaping Liu, Yilong Yin:
$\hbox {PISEP}{^2}$: pseudo-image sequence evolution-based 3D pose prediction. Vis. Comput. 38(7): 2603-2616 (2022) - [c122]Rundong He, Zhongyi Han, Yang Yang, Yilong Yin:
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch. AAAI 2022: 6874-6883 - [c121]Zhongyi Han, Wan Su, Rundong He, Yilong Yin:
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. ACML 2022: 436-451 - [c120]Wan Su, Fan Wang, Zhongyi Han, Yilong Yin:
Transferable Discriminative Learning for Medical Open-Set Domain Adaptation: Application to Pneumonia Classification. BIBM 2022: 1185-1192 - [c119]Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin:
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. CVPR 2022: 7141-7150 - [c118]Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. CVPR 2022: 14565-14574 - [c117]Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin:
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. ECCV (30) 2022: 516-532 - [c116]Kuikui Wang, Gongping Yang, Yuwen Huang, Lu Yang, Yilong Yin:
Online Ecg Biometrics Via Hadamard Code. ICASSP 2022: 2924-2928 - [c115]Kuikui Wang, Gongping Yang, Yuwen Huang, Lu Yang, Yilong Yin:
Joint Dual-Domain Matrix Factorization for ECG Biometric Recognition. ICASSP 2022: 3134-3138 - [c114]Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin:
Exploring Linear Feature Disentanglement for Neural Networks. ICME 2022: 1-6 - [c113]