DIMC-net: Deep Incomplete Multi-view Clustering Network. - Jie Wen 001; Zheng Zhang 006; Zhao Zhang 001; Zhihao Wu 002; Lunke Fei; Yong Xu 001; Bob Zhang 001 (ACM Multimedia, 2020)

Lightweight image super-resolution with enhanced CNN. - Chunwei Tian; Ruibin Zhuge; Zhihao Wu 002; Yong Xu 001; Wangmeng Zuo; Chen Chen 001; Chia-Wen Lin (Knowl. Based Syst., 2020)

Structural Deep Incomplete Multi-view Clustering Network. - Jie Wen 001; Zhihao Wu 002; Zheng Zhang 006; Lunke Fei; Bob Zhang 001; Yong Xu 001 (CIKM, 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)

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)

Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System. - Chao Huang 008; Zhihao Wu 002; Jie Wen 001; Yong Xu 001; Qiuping Jiang; Yaowei Wang 001 (IEEE Trans. Ind. Informatics, 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)

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)

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)

Graph Convolutional Kernel Machine versus Graph Convolutional Networks. - Zhihao Wu 002; Zhao Zhang 001; Jicong Fan 001 (NeurIPS, 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)

Multiple Instance Detection Networks With Adaptive Instance Refinement. - Zhihao Wu 002; Jie Wen 001; Yong Xu 001; Jian Yang 003; David Zhang 001 (IEEE Trans. Multim., 2023)

Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model. - Yuxin Lin; Jing Ma; Wei Wang 169; Zhihao Wu 002; Suyu Dong; Gongning Luo; Kuanquan Wang (BIBM, 2024)

Kernel Readout for Graph Neural Networks. - Jiajun Yu; Zhihao Wu 002; Jinyu Cai; Adele Lu Jia; Jicong Fan 001 (IJCAI, 2024)

Misclassification in Weakly Supervised Object Detection. - Zhihao Wu 002; Yong Xu 001; Jian Yang 003; Xuelong Li 001 (IEEE Trans. Image Process., 2024)

Enhanced Spatial Feature Learning for Weakly Supervised Object Detection. - Zhihao Wu 002; Jie Wen 001; Yong Xu 001; Jian Yang 003; Xuelong Li 001; David Zhang 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)

Mixture of Experts as Representation Learner for Deep Multi-View Clustering. - Yunhe Zhang 001; Jinyu Cai; Zhihao Wu 002; Pengyang Wang; See-Kiong Ng (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)

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)

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)