| 2026 | AAAI | Multi-Label Classification with Incremental and Decremental Features. | Mingdie Jiang, Quanjiang Li, Tingjin Luo, Yiping Song, Chenping Hou |
| 2026 | AAAI | Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels. | Xijia Tang, Yuhua Qian, Chao Xu, Chenping Hou |
| 2025 | AAAI | Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label. | Quanjiang Li, Tingjin Luo, Mingdie Jiang, Zhangqi Jiang, Chenping Hou, Feijiang Li |
| 2025 | CVPR | Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret. | Yucong Dai, Shilin Gu, Ruidong Fan, Chao Xu, Chenping Hou |
| 2025 | ICML | Heterogeneous Label Shift: Theory and Algorithm. | Chao Xu, Xijia Tang, Chenping Hou |
| 2025 | IJCAI | On the Generalization of Feature Incremental Learning. | Chao Xu, Xijia Tang, Lijun Zhang, Chenping Hou |
| 2025 | IJCAI | One-step Label Shift Adaptation via Robust Weight Estimation. | Ruidong Fan, Xiao Ouyang, Tingjin Luo, Lijun Zhang, Chenping Hou |
| 2025 | IJCAI | Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition. | Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang |
| 2025 | KDD | Incremental Label Distribution Learning. | Chao Xu, Xijia Tang, Hong Tao, Chenping Hou |
| 2024 | KDD | Label Shift Correction via Bidirectional Marginal Distribution Matching. | Ruidong Fan, Xiao Ouyang, Hong Tao, Chenping Hou |
| 2021 | PAKDD | Multiple Instance Learning for Unilateral Data. | Xijia Tang, Tingjin Luo, Tianxiang Luan, Chenping Hou |
| 2019 | ICASSP | Learning Compact Partial Differential Equations for Color Images with Efficiency. | Zhenyu Zhao, Chenping Hou, Bo Lin, Cong Fang |
| 2019 | IJCAI | Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. | Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi |
| 2019 | PAKDD | Multi-label Active Learning with Error Correcting Output Codes. | Ningzhao Sun, Jincheng Shan, Chenping Hou |
| 2018 | AAAI | Reliable Multi-View Clustering. | Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu |
| 2018 | ICPR | Low Rank Multi-Label Classification with Missing Labels. | Baolin Guo, Chenping Hou, Jincheng Shan, Dongyun Yi |
| 2018 | PRICAI | Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. | Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin |
| 2018 | PRICAI | Incomplete Multi-view Clustering via Structured Graph Learning. | Jie Wu, Wenzhang Zhuge, Hong Tao, Chenping Hou, Zhao Zhang |
| 2017 | ACML | Multi-view Clustering with Adaptively Learned Graph. | Hong Tao, Chenping Hou, Jubo Zhu, Dongyun Yi |
| 2016 | AAAI | Discriminative Vanishing Component Analysis. | Chenping Hou, Feiping Nie, Dacheng Tao |
| 2016 | ICDM | Semi-Supervised Multi-label Dimensionality Reduction. | Baolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi |
| 2016 | ICPR | Unsupervised feature extraction using a learned graph with clustering structure. | Wenzhang Zhuge, Chenping Hou, Feiping Nie, Dongyun Yi |
| 2013 | IJCNN | Robust non-negative matrix factorization via joint sparse and graph regularization. | Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu, Shifeng Weng |
| 2011 | IJCAI | Feature Selection via Joint Embedding Learning and Sparse Regression. | Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu |
| 2011 | MDAI | Semi-supervised Dimensionality Reduction via Harmonic Functions. | Chenping Hou, Feiping Nie, Yi Wu |
| 2011 | MDAI | Uncovering Community Structure in Social Networks by Clique Correlation. | Xu Liu, Chenping Hou, Qiang Luo, Dongyun Yi |