Feature Concatenation Multi-view Subspace Clustering. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002; Shanmin Pang; Jun Wang 024 (CoRR, 2019)

Label Enhancement with Sample Correlations via Low-Rank Representation. - Haoyu Tang; Jihua Zhu; Qinghai Zheng; Jun Wang 024; Shanmin Pang; Zhongyu Li 002 (AAAI, 2020)

Consistent and Complementary Graph Regularized Multi-view Subspace Clustering. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002; Shanmin Pang; Jun Wang 024; Lei Chen 011 (CoRR, 2020)

Multi-view Hierarchical Clustering. - Qinghai Zheng; Jihua Zhu; Shuangxun Ma (CoRR, 2020)

Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002; Haoyu Tang; Shuangxun Ma (CoRR, 2020)

Feature concatenation multi-view subspace clustering. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002; Shanmin Pang; Jun Wang 024; Yaochen Li (Neurocomputing, 2020)

Constrained bilinear factorization multi-view subspace clustering. - Qinghai Zheng; Jihua Zhu; Zhiqiang Tian; Zhongyu Li 002; Shanmin Pang; Xiuyi Jia (Knowl. Based Syst., 2020)

Multiview spectral clustering via complementary information. - Shuangxun Ma; Yuehu Liu; Qinghai Zheng; Yaochen Li; Zhichao Cui (Concurr. Comput. Pract. Exp., 2021)

Query-graph with Cross-gating Attention Model for Text-to-Audio Grounding. - Haoyu Tang; Jihua Zhu; Qinghai Zheng; Zhiyong Cheng 001 (CoRR, 2021)

Multi-view subspace clustering networks with local and global graph information. - Qinghai Zheng; Jihua Zhu; Yuanyuan Ma; Zhongyu Li 002; Zhiqiang Tian (Neurocomputing, 2021)

Bidirectional loss function for Label Enhancement and distribution learning. - Xinyuan Liu 001; Jihua Zhu; Qinghai Zheng; Zhongyu Li 002; Ruixin Liu; Jun Wang 024 (Knowl. Based Syst., 2021)

Multi-view Subspace Clustering with View Correlations via low-rank tensor learning. - Qinghai Zheng; Jihua Zhu (Comput. Electr. Eng., 2022)

Semi-Supervised Label Distribution Learning with Co-regularization. - Xinyuan Liu 001; Jihua Zhu; Qinghai Zheng; Zhiqiang Tian; Zhongyu Li 002 (Neurocomputing, 2022)

Orthogonal multi-view tensor-based learning for clustering. - Shuangxun Ma; Yuehu Liu; Guangcan Liu; Qinghai Zheng; Chi Zhang 020 (Neurocomputing, 2022)

Essential multi-view graph learning for clustering. - Shuangxun Ma; Qinghai Zheng; Yuehu Liu (J. Ambient Intell. Humaniz. Comput., 2022)

Large-Scale Multi-View Clustering via Fast Essential Subspace Representation Learning. - Qinghai Zheng (IEEE Signal Process. Lett., 2022)

Collaborative Unsupervised Multi-View Representation Learning. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Multi-Level Query Interaction for Temporal Language Grounding. - Haoyu Tang; Jihua Zhu; Lin Wang 026; Qinghai Zheng; Tianwei Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Label Information Bottleneck for Label Enhancement. - Qinghai Zheng; Jihua Zhu; Haoyu Tang (CVPR, 2023)

Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor. - Jinqian Chen; Jihua Zhu; Qinghai Zheng (ACM Multimedia, 2023)

MCoCo: Multi-level Consistency Collaborative Multi-view Clustering. - Yiyang Zhou; Qinghai Zheng; Wenbiao Yan; Yifei Wang; Jihua Zhu (CoRR, 2023)

Comprehensive Multi-view Representation Learning. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002; Zhiqiang Tian; Chen Li 033 (Inf. Fusion, 2023)

Graph-Guided Unsupervised Multiview Representation Learning. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002; Haoyu Tang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Generalized Label Enhancement With Sample Correlations. - Qinghai Zheng; Jihua Zhu; Haoyu Tang; Xinyuan Liu 001; Zhongyu Li 002; Huimin Lu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Semantically consistent multi-view representation learning. - Yiyang Zhou; Qinghai Zheng; Shunshun Bai; Jihua Zhu (Knowl. Based Syst., 2023)

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models. - Jinqian Chen; Jihua Zhu; Qinghai Zheng; Zhongyu Li 002; Zhiqiang Tian (AAAI, 2024)

Incomplete Multi-View Clustering Via Inference and Evaluation. - Binqiang Huang; Zhijie Huang; Shoujie Lan; Qinghai Zheng; Yuanlong Yu (ICASSP, 2024)

Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. - Wenliang Zhong; Haoyu Tang; Qinghai Zheng; Mingzhu Xu; Yupeng Hu; Liqiang Nie (CoRR, 2024)

Graph-guided imputation-free incomplete multi-view clustering. - Shunshun Bai; Qinghai Zheng; Xiaojin Ren; Jihua Zhu (Expert Syst. Appl., 2024)

Listen as you wish: Fusion of audio and text for cross-modal event detection in smart cities. - Haoyu Tang; Yupeng Hu; Yunxiao Wang; Shuaike Zhang; Mingzhu Xu; Jihua Zhu; Qinghai Zheng (Inf. Fusion, 2024)

Graph-Driven deep Multi-View Clustering with self-paced learning. - Shunshun Bai; Xiaojin Ren; Qinghai Zheng; Jihua Zhu (Knowl. Based Syst., 2024)

Multi-view representation learning with dual-label collaborative guidance. - Bin Chen; Xiaojin Ren; Shunshun Bai; Ziyuan Chen; Qinghai Zheng; Jihua Zhu (Knowl. Based Syst., 2024)

Double-level View-correlation Multi-view Subspace Clustering. - Shoujie Lan; Qinghai Zheng; Yuanlong Yu (Knowl. Based Syst., 2024)

Multi-view Semantic Consistency based Information Bottleneck for Clustering. - Wenbiao Yan; Yiyang Zhou; Yifei Wang; Qinghai Zheng; Jihua Zhu (Knowl. Based Syst., 2024)

MCoCo: Multi-level Consistency Collaborative multi-view clustering. - Yiyang Zhou; Qinghai Zheng; Yifei Wang; Wenbiao Yan; Pengcheng Shi; Jihua Zhu (Expert Syst. Appl., 2024)

Flexible and Parameter-Free Graph Learning for Multi-View Spectral Clustering. - Qinghai Zheng (IEEE Trans. Circuits Syst. Video Technol., 2024)

Twin Reciprocal Completion for Incomplete Multi-View Clustering. - Qinghai Zheng; Haoyu Tang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Boundary-Aware Temporal Dynamic Pseudo-Supervision Pairs Generation for Zero-Shot Natural Language Video Localization. - Xiongwen Deng; Haoyu Tang; Han Jiang; Qinghai Zheng; Jihua Zhu (AAAI, 2025)

Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. - Wenliang Zhong; Haoyu Tang; Qinghai Zheng; Mingzhu Xu; Yupeng Hu; Weili Guan (CVPR, 2025)

Trusted Cross-view Completion for incomplete multi-view classification. - Liping Zhou; Shiyun Chen; Peihuan Song; Qinghai Zheng; Yuanlong Yu (Neurocomputing, 2025)

Label distribution-driven multi-view representation learning. - Wenbiao Yan; Minghong Wu; Yiyang Zhou; Qinghai Zheng; Jinqian Chen; Haozhe Cheng; Jihua Zhu (Inf. Fusion, 2025)

Relationship completion for incomplete multi-view clustering. - Minghong Wu; Jihua Zhu; Wenbiao Yan; Bin Chen; Qinghai Zheng (Neural Networks, 2025)

Partially multi-view clustering via re-alignment. - Wenbiao Yan; Jihua Zhu; Jinqian Chen; Haozhe Cheng; Shunshun Bai; Liang Duan; Qinghai Zheng (Neural Networks, 2025)

Cross-View Fusion for Multi-View Clustering. - Zhijie Huang; Binqiang Huang; Qinghai Zheng; Yuanlong Yu (IEEE Signal Process. Lett., 2025)

Non-Decreasing Concave Regularized Minimization for Principal Component Analysis. - Qinghai Zheng; Yixin Zhuang (IEEE Signal Process. Lett., 2025)

Causal Label Enhancement. - Xinyuan Liu 001; Jihua Zhu; Qinghai Zheng; Zhongyu Li 002; Zhiqiang Tian; Mingchen Zhu (IEEE Trans. Knowl. Data Eng., 2025)