| 2026 | AAAI | IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection. | Yanhui Li, Yunkang Cao, Chengliang Liu, Yuan Xiong, Xinghui Dong, Chao Huang |
| 2026 | AAAI | Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis. | Yuxin Lin, Haoran Li, Haoyu Cao, Yongting Hu, Qihao Xu, Chengliang Liu, Xiaoling Luo, Zhihao Wu, Yong Xu, Wei Wang |
| 2026 | AAAI | Detecting Fake News in Short Videos Through Multi-View Aggregation. | Nuo Li, Yuan Xiong, Chengliang Liu, Jie Wen, Chao Huang |
| 2026 | AAAI | Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis. | Qihao Xu, Xiaoling Luo, Yuxin Lin, Chengliang Liu, Yongting Hu, Jinkai Li, Xinheng Lyu, Yong Xu |
| 2026 | WWW | Inference Cost Attacks for Retrieval-Augmented Large Language Models. | Chengliang Liu, Liangbo Ning, Yujuan Ding, Wenqi Fan |
| 2025 | AAAI | Multi-view Evidential Learning-based Medical Image Segmentation. | Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2025 | ICRA | S | Yefeng Sun, Liang Gong, Jialing Dai, Bishu Gao, Jinghan Cai, Gengjie Lin, Fabien Moutarde, Junguo Lu, Chengliang Liu |
| 2024 | AAAI | 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 |
| 2024 | AAAI | A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification. | Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures. | Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | IJCAI | Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection. | Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu |
| 2024 | ICRA | Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning. | Senlin Fang, Yiwen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu |
| 2024 | IROS | Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards. | Zhaorun Chen, Zhuokai Zhao, Tairan He, Binhao Chen, Xuhao Zhao, Liang Gong, Chengliang Liu |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. | Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu |
| 2023 | AAAI | 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 |
| 2023 | CVPR | 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 |
| 2022 | ICASSP | Deep Object Detection with Example Attribute Based Prediction Modulation. | Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu |
| 2018 | IECON | Multiphysics Modeling and Optimal Current Profiling for Switched Reluctance Machine Drive. | Bingchu Li, Xiao Ling, Yixiang Huang, Liang Gong, Chengliang Liu |
| 2011 | ICRA | Electrode displacement patterns inferred as the optimal control criteria during the resistance spot welding process. | Liang Gong, Chengliang Liu |
| 2010 | ISNN | Leave-One-Out Cross-Validation Based Model Selection for Manifold Regularization. | Jin Yuan, Yanming Li, Chengliang Liu, Xuan F. Zha |
| 2005 | ISNN | Optimal Actuator Fault Detection via MLP Neural Network for PDFs. | Lei Guo, Yumin Zhang, Chengliang Liu, Hong Wang, Chun-Bo Feng |