I am currently working toward the Doctoral degree with the Harbin Institute of Technology, Shenzhen, advised by Yong Xu (徐勇) and Jie Wen (文杰). I graduated from Jilin University with a bachelor’s degree in computer science and from Huazhong University of Science and Technology with a master’s degree in computer science. My research interests include machine learning and computer vision, especially multi-view representation learning.

News

• 2024.05: Our paper is accepted by ICML 2024!
• 2023.12: Our paper is accepted by AAAI 2024!
• 2023.09: Our paper is accepted by NeurIPS 2023!
• 2023.07: Our paper is accepted by ACM MM 2023!
• 2023.06: Our paper is accepted by TNNLS!
• 2023.03: Our paper is accepted by TNNLS!
• 2023.02: Our paper is accepted by CVPR 2023!
• 2023.02: We win the AAAI 2023 distinguished paper award!
• 2022.11: Three papers are accepted by AAAI 2023!
• 2022.06: Our paper is accepted by ACM MM 2022!

Publications

Conference Papers

• Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling, Chengliang Liu, Gehui Xu, Jie Wen^*, Yabo Liu, Chao Huang, Yong Xu^*, ICML 2024

• Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification, Chengliang Liu, Jinlong Jia, Jie Wen^*, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu^*, AAAI 2024

• Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning, Chengliang Liu, Jie Wen^*, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu^*, NeurIPS 2023

• Localized and Balanced Efficient Incomplete Multi-view Clustering, Jie Wen, Gehui Xu, Chengliang Liu^*, Lunke Fei, Chao Huang, Wei Wang^*, Yong Xu, ACM MM 2023 (Corresponding author)

• Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering, Jie Wen^✝, Chengliang Liu^✝, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu^*, CVPR 2023 (Co-first author)

• (Oral) DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification, Chengliang Liu, Jie Wen^*, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu^*, AAAI 2023 (AAAI 2023 distinguished paper award)

• (Oral) Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers, Chengliang Liu, Jie Wen^*, Xiaoling Luo, Yong Xu^*, AAAI 2023

• (Oral) MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network, Xiaoling Luo^✝, Chengliang Liu^✝, Waikeung Wong, Jie Wen^*, Xiaopeng Jin , Yong Xu^*, AAAI 2023 (Co-first author)

• Pixel-Level Anomaly Detection via Uncertainty-Aware Prototypical Transformer, Chao Huang^✝, Chengliang Liu^✝, Zheng Zhang^*, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu^*, ACM MM 2022 (Co-first author)

Journal Papers

• Information Recovery-Driven Deep Incomplete Multi-view Clustering Network, Chengliang Liu, Jie Wen^*, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu, IEEE Transactions on Neural Networks and Learning Systems, 2023

• Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views, Jie Wen, Chengliang Liu^*, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu, IEEE Transactions on Neural Networks and Learning Systems, 2023 (Corresponding author)

• Localized sparse incomplete multi-view clustering, Chengliang Liu, Zhihao Wu, Jie Wen^*, Yong Xu^*, Chao Huang, IEEE Transactions on Multimedia, 2022

• Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer, Chao Huang^✝, Chengliang Liu^✝, Jie Wen, Lian Wu, Yong Xu^*, Qiuping Jiang, Yaowei Wang, IEEE Transactions on Cybernetics, 2022 (Co-first author)

Honors and Awards

• 2023.10 National scholarship.
• 2023.02 AAAI 2023 distinguished paper award.

Educations

• 2020.09 - now, School of Computer Science of Technology, Harbin Institute of Technology, Shenzhen, China.
• 2018.09 - 2020.06, School of Computer Science of Technology, Huazhong University of Science and Technology, Wuhan, China.
• 2014.09 - 2018.06, College of Computer Science of Technology, Jilin University, Changchun, China.

Academic Activities

• Journal Reviewers of IEEE TNNLS, IEEE TCSVT, CAAI TRIT
• Program Committee Members of AAAI, ACM MM