Chengliang Liu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 26

Top Topics

Weakly Supervised

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

QiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. AAAI (2024)
Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu
Projective Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. CoRR (2024)
Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang
A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification. AAAI (2024)
Chao Huang, Chengliang Liu, Jie Wen, Lian Wu, Yong Xu, Qiuping Jiang, Yaowei Wang
Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer. IEEE Trans. Cybern. 54 (5) (2024)
Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. AAAI (2024)
Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu
Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures. AAAI (2024)
Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. NeurIPS (2023)
Wai Keung Wong, Chengliang Liu, Shijie Deng, Lunke Fei, Lusi Li, Yuwu Lu, Jie Wen
Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering. Inf. Fusion 100 (2023)
Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang
Localized Sparse Incomplete Multi-View Clustering. IEEE Trans. Multim. 25 (2023)
Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang
Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR (2023)
Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu
MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. AAAI (2023)
Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu
Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. CoRR (2023)
Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li
Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. IEEE Trans. Image Process. 32 (2023)
Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu
Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. CVPR (2023)
Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. CoRR (2023)
Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu
Localized and Balanced Efficient Incomplete Multi-view Clustering. ACM Multimedia (2023)
Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. AAAI (2023)
Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. AAAI (2023)
Lilei Sun, Jie Wen, Chengliang Liu, Lunke Fei, Lusi Li
Balance guided incomplete multi-view spectral clustering. Neural Networks 166 (2023)
Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu
Deep Object Detection with Example Attribute Based Prediction Modulation. ICASSP (2022)
Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu
Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer. ACM Multimedia (2022)
Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu
Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning. IEEE Signal Process. Lett. 29 (2022)
Chengliang Liu, Zhihao Wu, Jie Wen, Chao Huang, Yong Xu
Localized Sparse Incomplete Multi-view Clustering. CoRR (2022)
Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang
Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection. ACM Multimedia (2022)