Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Chengliang Liu 003; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Deep Object Detection with Example Attribute Based Prediction Modulation. - Zhihao Wu 002; Chengliang Liu 003; Chao Huang 008; Jie Wen 001; Yong Xu 001 (ICASSP, 2022)

Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection. - Chao Huang 008; Yabo Liu; Zheng Zhang 006; Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Yaowei Wang 001 (ACM Multimedia, 2022)

Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer. - Chao Huang 008; Chengliang Liu 003; Zheng Zhang 006; Zhihao Wu 002; Jie Wen 001; Qiuping Jiang; Yong Xu 001 (ACM Multimedia, 2022)

Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning. - Dasheng Zhang; Chao Huang 008; Chengliang Liu 003; Yong Xu 001 (IEEE Signal Process. Lett., 2022)

DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. - Chengliang Liu 003; Jie Wen 001; Xiaoling Luo 001; Chao Huang 008; Zhihao Wu 002; Yong Xu 001 (AAAI, 2023)

Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. - Chengliang Liu 003; Jie Wen 001; Xiaoling Luo 001; Yong Xu 001 (AAAI, 2023)

MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. - Xiaoling Luo 001; Chengliang Liu 003; Waikeung Wong; Jie Wen 001; Xiaopeng Jin; Yong Xu 001 (AAAI, 2023)

Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. - Jie Wen 001; Chengliang Liu 003; Gehui Xu; Zhihao Wu 002; Chao Huang 008; Lunke Fei; Yong Xu 001 (CVPR, 2023)

Localized and Balanced Efficient Incomplete Multi-view Clustering. - Jie Wen 001; Gehui Xu; Chengliang Liu 003; Lunke Fei; Chao Huang 008; Wei Wang 169; Yong Xu 001 (ACM Multimedia, 2023)

Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. - Chengliang Liu 003; Jie Wen 001; Yabo Liu; Chao Huang 008; Zhihao Wu 002; Xiaoling Luo 001; Yong Xu 001 (NeurIPS, 2023)

Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. - Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Liqiang Nie; Min Zhang 005 (CoRR, 2023)

Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. - Chengliang Liu 003; Jie Wen 001; Zhihao Wu 002; Xiaoling Luo 001; Chao Huang 008; Yong Xu 001 (CoRR, 2023)

Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. - Zhihao Wu 002; Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Jian Yang 003; Xuelong Li 001 (IEEE Trans. Image Process., 2023)

Localized Sparse Incomplete Multi-View Clustering. - Chengliang Liu 003; Zhihao Wu 002; Jie Wen 001; Yong Xu 001; Chao Huang 008 (IEEE Trans. Multim., 2023)

Balance guided incomplete multi-view spectral clustering. - Lilei Sun; Jie Wen 001; Chengliang Liu 003; Lunke Fei; Lusi Li (Neural Networks, 2023)

Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering. - Wai Keung Wong; Chengliang Liu 003; Shijie Deng; Lunke Fei; Lusi Li; Yuwu Lu; Jie Wen 001 (Inf. Fusion, 2023)

Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. - Chengliang Liu 003; Jinlong Jia; Jie Wen 001; Yabo Liu; Xiaoling Luo 001; Chao Huang 008; Yong Xu 001 (AAAI, 2024)

A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification. - Xin Tan; Ce Zhao; Chengliang Liu 003; Jie Wen 001; Zhanyan Tang (AAAI, 2024)

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. - Qihao Xu; Xiaoling Luo 001; Chao Huang 008; Chengliang Liu 003; Jie Wen 001; Jialei Wang; Yong Xu 001 (AAAI, 2024)

Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures. - Gehui Xu; Jie Wen 001; Chengliang Liu 003; Bing Hu; Yicheng Liu; Lunke Fei; Wei Wang 169 (AAAI, 2024)

Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling. - Chengliang Liu 003; Gehui Xu; Jie Wen 001; Yabo Liu; Chao Huang 008; Yong Xu 001 (ICML, 2024)

Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition. - Yicheng Liu; Jie Wen 001; Chengliang Liu 003; Xiaozhao Fang; Zuoyong Li; Yong Xu 001; Zheng Zhang 006 (ICML, 2024)

Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection. - Chao Huang 008; Jie Wen 001; Chengliang Liu 003; Yabo Liu (IJCAI, 2024)

Deep dual incomplete multi-view multi-label classification via label semantic-guided contrastive learning. - Jinrong Cui; Yazi Xie; Chengliang Liu 003; Qiong Huang 001; Mu Li 005; Jie Wen 001 (Neural Networks, 2024)

Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer. - Chao Huang 008; Chengliang Liu 003; Jie Wen 001; Lian Wu; Yong Xu 001; Qiuping Jiang; Yaowei Wang 001 (IEEE Trans. Cybern., 2024)

Projective Incomplete Multi-View Clustering. - Shijie Deng; Jie Wen 001; Chengliang Liu 003; Ke Yan 003; Gehui Xu; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. - Jie Wen 001; Chengliang Liu 003; Shijie Deng; Yicheng Liu; Lunke Fei; Ke Yan 003; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Information Recovery-Driven Deep Incomplete Multiview Clustering Network. - Chengliang Liu 003; Jie Wen 001; Zhihao Wu 002; Xiaoling Luo 001; Chao Huang 008; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-view Evidential Learning-based Medical Image Segmentation. - Chao Huang 008; Yushu Shi; Waikeung Wong; Chengliang Liu 003; Wei Wang 169; Zhihua Wang 002; Jie Wen 001 (AAAI, 2025)

Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases. - Yuxin Lin; Wei Wang 169; Xiaoling Luo 001; Zhihao Wu 002; Chengliang Liu 003; Jie Wen 001; Yong Xu 001 (AAAI, 2025)

Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading. - Xiaoling Luo 001; Qihao Xu; Huisi Wu; Chengliang Liu 003; Zhihui Lai 001; Linlin Shen (AAAI, 2025)

Multi-view diabetic retinopathy grading via cross-view spatial alignment and adaptive vessel reinforcing. - Yuxin Lin; Xiaoyan Dou; Xiaoling Luo 001; Zhihao Wu 002; Chengliang Liu 003; Tianyi Luo; Jie Wen 001; Bingo Wing-Kuen Ling; Yong Xu 001; Wei Wang 169 (Pattern Recognit., 2025)

Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection. - Yabo Liu; Jinghua Wang; Linhui Xiao; Chengliang Liu 003; Zhihao Wu 002; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection. - Yongting Hu; Yuxin Lin; Chengliang Liu 003; Xiaoling Luo 001; Xiaoyan Dou; Qihao Xu; Yong Xu 001 (CoRR, 2025)

Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought. - Chao Huang 008; Benfeng Wang; Jie Wen 001; Chengliang Liu 003; Wei Wang 335; Li Shen 008; Xiaochun Cao (CoRR, 2025)

A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading. - Xiaoling Luo 001; Qihao Xu; Zhihua Wang 002; Chao Huang 008; Chengliang Liu 003; Xiaopeng Jin; Jianguo Zhang 001 (IEEE J. Biomed. Health Informatics, 2025)

Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category Supervision. - Zhihao Wu 002; Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Jian Yang 003; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification. - Chengliang Liu 003; Jie Wen 001; Yong Xu 001; Bob Zhang 001; Liqiang Nie; Min Zhang 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)