Chengliang Liu

59 papers A* 25A 1Misc 1Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Interventional Prompt Tuning for Few-Shot Out-of-Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Jie Wen, Yicheng Liu, Chao Huang, Chengliang Liu, Yong Xu, Xiaochun Cao
2026	A*	`conf`	Detecting Fake News in Short Videos Through Multi-View Aggregation. AAAI Nuo Li, Yuan Xiong, Chengliang Liu, Jie Wen, Chao Huang
2026	A*	`conf`	Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis. AAAI Yuxin Lin, Haoran Li, Haoyu Cao, Yongting Hu, Qihao Xu, Chengliang Liu, Xiaoling Luo, Zhihao Wu, Yong Xu, Wei Wang
2026	J	`jnl`	Generative data-engine foundation model for universal few-shot 2D vascular image segmentation. Medical Image Anal. Rongjun Ge, Xin Li, Yuxing Liu, Chengliang Liu, Pinzheng Zhang, Jiong Zhang, Jian Yang, Jean-Louis Dillenseger, Chunfeng Yang, Yuting He, Yang Chen
2026	A*	`conf`	IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection. AAAI Yanhui Li, Yunkang Cao, Chengliang Liu, Yuan Xiong, Xinghui Dong, Chao Huang
2026	J	`jnl`	Partial Multiview Incomplete Multilabel Learning via Uncertainty-Driven Reliable Dynamic Fusion. IEEE Trans. Pattern Anal. Mach. Intell. Jie Wen, Jiang Long, Xiaohuan Lu, Chengliang Liu, Xiaozhao Fang, Yong Xu
2026	J	`jnl`	Reason-IAD: Knowledge-Guided Dynamic Latent Reasoning for Explainable Industrial Anomaly Detection. CoRR Peng Chen, Chao Huang, Yunkang Cao, Chengliang Liu, Wenqiang Wang, Mingbo Yang, Li Shen, Wenqi Ren, Xiaochun Cao
2026	A*	`conf`	Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis. AAAI Qihao Xu, Xiaoling Luo, Yuxin Lin, Chengliang Liu, Yongting Hu, Jinkai Li, Xinheng Lyu, Yong Xu
2025	J	`jnl`	A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics Xiaoling Luo, Qihao Xu, Zhihua Wang, Chao Huang, Chengliang Liu, Xiaopeng Jin, Jianguo Zhang
2025	J	`jnl`	A Survey of Multimodal Ophthalmic Diagnostics: From Task-Specific Approaches to Foundational Models. CoRR Xiaoling Luo, Ruli Zheng, Qiaojian Zheng, Zibo Du, Shuo Yang, Meidan Ding, Qihao Xu, Chengliang Liu, Linlin Shen
2025	A*	`conf`	Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases. AAAI Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu
2025	A*	`conf`	Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training. IJCAI Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang
2025	J	`jnl`	Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training. CoRR Xiaoling Luo, Peng Chen, Chengliang Liu, Xiaopeng Jin, Jie Wen, Yumeng Liu, Junsong Wang
2025	J	`jnl`	Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection. IEEE Trans. Neural Networks Learn. Syst. Yabo Liu, Jinghua Wang, Linhui Xiao, Chengliang Liu, Zhihao Wu, Yong Xu
2025	J	`jnl`	IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection. CoRR Yanhui Li, Yunkang Cao, Chengliang Liu, Yuan Xiong, Xinghui Dong, Chao Huang
2025	A*	`conf`	Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification. ICML Jie Wen, Yadong Liu, Zhanyan Tang, Yuting He, Yulong Chen, Mu Li, Chengliang Liu
2025	A*	`conf`	Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading. AAAI Xiaoling Luo, Qihao Xu, Huisi Wu, Chengliang Liu, Zhihui Lai, Linlin Shen
2025	A*	`conf`	Multi-view Evidential Learning-based Medical Image Segmentation. AAAI Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen
2025	J	`jnl`	Multi-view diabetic retinopathy grading via cross-view spatial alignment and adaptive vessel reinforcing. Pattern Recognit. Yuxin Lin, Xiaoyan Dou, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Tianyi Luo, Jie Wen, Bingo Wing-Kuen Ling, Yong Xu, Wei Wang
2025	A*	`conf`	Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer. ICML Yabo Liu, Waikeung Wong, Chengliang Liu, Xiaoling Luo, Yong Xu, Jinghua Wang
2025	J	`jnl`	Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification. IEEE Trans. Pattern Anal. Mach. Intell. Chengliang Liu, Jie Wen, Yong Xu, Bob Zhang, Liqiang Nie, Min Zhang
2025	—	`conf`	Saliency-Guided Selection Driven Multi-scale Network for Breast Tumor Detection. PRCV (13) Xinfei Gu, Chengliang Liu, Xiaoling Luo, Qihao Xu, Zhihui Lai, Heng Kong
2025	J	`jnl`	Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category Supervision. IEEE Trans. Neural Networks Learn. Syst. Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li
2025	J	`jnl`	Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought. CoRR Chao Huang, Benfeng Wang, Jie Wen, Chengliang Liu, Wei Wang, Li Shen, Xiaochun Cao
2025	A	`conf`	Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection. ICME Yongting Hu, Yuxin Lin, Chengliang Liu, Xiaoling Luo, Xiaoyan Dou, Qihao Xu, Yong Xu
2025	J	`jnl`	Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection. CoRR Yongting Hu, Yuxin Lin, Chengliang Liu, Xiaoling Luo, Xiaoyan Dou, Qihao Xu, Yong Xu
2024	A*	`conf`	A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification. AAAI Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang
2024	A*	`conf`	Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. AAAI Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu
2024	J	`jnl`	Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. IEEE Trans. Neural Networks Learn. Syst. Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu
2024	A*	`conf`	Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures. AAAI Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang
2024	J	`jnl`	Deep dual incomplete multi-view multi-label classification via label semantic-guided contrastive learning. Neural Networks Jinrong Cui, Yazi Xie, Chengliang Liu, Qiong Huang, Mu Li, Jie Wen
2024	A*	`conf`	HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. AAAI Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu
2024	J	`jnl`	Information Recovery-Driven Deep Incomplete Multiview Clustering Network. IEEE Trans. Neural Networks Learn. Syst. Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu
2024	A*	`conf`	Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition. ICML Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang
2024	A*	`conf`	Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection. IJCAI Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu
2024	J	`jnl`	Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. CoRR Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu
2024	A*	`conf`	Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling. ICML Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu
2024	J	`jnl`	Projective Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu
2024	J	`jnl`	Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer. IEEE Trans. Cybern. Chao Huang, Chengliang Liu, Jie Wen, Lian Wu, Yong Xu, Qiuping Jiang, Yaowei Wang
2023	J	`jnl`	Balance guided incomplete multi-view spectral clustering. Neural Networks Lilei Sun, Jie Wen, Chengliang Liu, Lunke Fei, Lusi Li
2023	A*	`conf`	DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. AAAI Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu
2023	J	`jnl`	DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. CoRR Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu
2023	A*	`conf`	Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. CVPR Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu
2023	A*	`conf`	Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. AAAI Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu
2023	J	`jnl`	Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. CoRR Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu
2023	J	`jnl`	Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. CoRR Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu
2023	J	`jnl`	Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang
2023	J	`jnl`	Localized Sparse Incomplete Multi-View Clustering. IEEE Trans. Multim. Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang
2023	A*	`conf`	Localized and Balanced Efficient Incomplete Multi-view Clustering. ACM Multimedia Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu
2023	A*	`conf`	MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. AAAI Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu
2023	A*	`conf`	Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. NeurIPS Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu
2023	J	`jnl`	Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering. Inf. Fusion Wai Keung Wong, Chengliang Liu, Shijie Deng, Lunke Fei, Lusi Li, Yuwu Lu, Jie Wen
2023	J	`jnl`	Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. IEEE Trans. Image Process. Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li
2022	Misc	`conf`	Deep Object Detection with Example Attribute Based Prediction Modulation. ICASSP Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu
2022	A*	`conf`	Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection. ACM Multimedia Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang
2022	J	`jnl`	Localized Sparse Incomplete Multi-view Clustering. CoRR Chengliang Liu, Zhihao Wu, Jie Wen, Chao Huang, Yong Xu
2022	A*	`conf`	Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer. ACM Multimedia Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu
2022	J	`jnl`	Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning. IEEE Signal Process. Lett. Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu
2021	J	`jnl`	Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao