Liu, Chengliang

20 publications

AAAI 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu

IJCAI 2025 Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang

NeurIPS 2025 Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis Chengliang Liu, Que Yuanxi, Qihao Xu, Yabo Liu, Jie Wen, Jinghua Wang, Xiaoling Luo

ICML 2025 Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification Jie Wen, Yadong Liu, Zhanyan Tang, Yuting He, Yulong Chen, Mu Li, Chengliang Liu

AAAI 2025 Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading Xiaoling Luo, Qihao Xu, Huisi Wu, Chengliang Liu, Zhihui Lai, Linlin Shen

AAAI 2025 Multi-View Evidential Learning-Based Medical Image Segmentation Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen

ICML 2025 Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer Yabo Liu, Waikeung Wong, Chengliang Liu, Xiaoling Luo, Yong Xu, Jinghua Wang

NeurIPS 2025 Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought Chao Huang, Benfeng Wang, Wei Wang, Jie Wen, Chengliang Liu, Li Shen, Xiaochun Cao

AAAI 2024 A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang

AAAI 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 Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang

AAAI 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

ICML 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

IJCAI 2024 Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu

ICML 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

AAAI 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

CVPR 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

AAAI 2023 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 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

NeurIPS 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