Chengliang Liu

According to our database, Chengliang Liu authored at least 29 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Information Recovery-Driven Deep Incomplete Multiview Clustering Network.

Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

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 Trans. Neural Networks Learn. Syst., August, 2024

Projective Incomplete Multi-View Clustering.

Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

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 Trans. Cybern., May, 2024

Deep dual incomplete multi-view multi-label classification via label semantic-guided contrastive learning.

Jinrong Cui, Yazi Xie, Chengliang Liu, Qiong Huang, Mu Li, Jie Wen

Neural Networks, 2024

Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection.

Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition.

Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures.

Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation.

QiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification.

Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering.

Wai Keung Wong, Chengliang Liu, Shijie Deng, Lunke Fei, Lusi Li, Yuwu Lu, Jie Wen

Inf. Fusion, December, 2023

Balance guided incomplete multi-view spectral clustering.

Lilei Sun, Jie Wen, Chengliang Liu, Lunke Fei, Lusi Li

Neural Networks, September, 2023

Localized Sparse Incomplete Multi-View Clustering.

Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang

IEEE Trans. Multim., 2023

Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss.

Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li

IEEE Trans. Image Process., 2023

Information Recovery-Driven Deep Incomplete Multi-view Clustering Network.

Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

CoRR, 2023

Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification.

Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang

CoRR, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Localized and Balanced Efficient Incomplete Multi-view Clustering.

Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers.

Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning.

Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu

IEEE Signal Process. Lett., 2022

Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer.

Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection.

Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Deep Object Detection with Example Attribute Based Prediction Modulation.

Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021