Chengliang Liu

According to our database, Chengliang Liu authored at least 57 papers between 2021 and 2026.

Collaborative distances:

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

2026

Disentangling Consistent and Specific Information for Double Incomplete Multi-View Multi-Label Classification.

Jie Wen, Lian Zhao, Xiaohuan Lu, Chengliang Liu, Li Shen, Chao Huang, Yong Xu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

Learning Compact Semantic Information and Reliable Pseudo-Labels for Incomplete Multi-View Multi-Label Classification.

Yadong Liu, Chengliang Liu, Jie Wen, Li Shen, Bob Zhang, Yong Xu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

Text-to-CAD Retrieval: a Strong Baseline.

Honghu Pan, Zibo Du, Daxiang Liu, Chengliang Liu, Xiaoling Luo

CoRR, May, 2026

Causal Interventional Prompt Tuning for Few-Shot Out-of-Distribution Generalization.

Jie Wen, Yicheng Liu, Chao Huang, Chengliang Liu, Yong Xu, Xiaochun Cao

IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

Reason-IAD: Knowledge-Guided Dynamic Latent Reasoning for Explainable Industrial Anomaly Detection.

Peng Chen, Chao Huang, Yunkang Cao, Chengliang Liu, Wenqiang Wang, Mingbo Yang, Li Shen, Wenqi Ren, Xiaochun Cao

CoRR, February, 2026

Partial Multiview Incomplete Multilabel Learning via Uncertainty-Driven Reliable Dynamic Fusion.

Jie Wen, Jiang Long, Xiaohuan Lu, Chengliang Liu, Xiaozhao Fang, Yong Xu

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

Generative data-engine foundation model for universal few-shot 2D vascular image segmentation.

Rongjun Ge, Xin Li, Yuxing Liu, Chengliang Liu, Pinzheng Zhang, Jiong Zhang, Jian Yang, Jean-Louis Dillenseger, Chunfeng Yang, Yuting He, Yang Chen

Medical Image Anal., 2026

A large-scale multi-view fundus images dataset and benchmark for diabetic retinopathy grading.

Xiaoling Luo, Qiaojian Zheng, Chengliang Liu, Yangneng Chen, Xiaoyan Dou, Tianyi Luo, Yingying Wen, Chao Huang, Yong Xu, Jie Wen

Inf. Fusion, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Detecting Fake News in Short Videos Through Multi-View Aggregation.

Nuo Li, Yuan Xiong, Chengliang Liu, Jie Wen, Chao Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection.

Yanhui Li, Yunkang Cao, Chengliang Liu, Yuan Xiong, Xinghui Dong, Chao Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Survey of Multimodal Ophthalmic Diagnostics: From Task-Specific Approaches to Foundational Models.

Xiaoling Luo, Ruli Zheng, Qiaojian Zheng, Zibo Du, Shuo Yang, Meidan Ding, Qihao Xu, Chengliang Liu, Linlin Shen

CoRR, August, 2025

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification.

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

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category Supervision.

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

IEEE Trans. Neural Networks Learn. Syst., May, 2025

A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading.

Xiaoling Luo, Qihao Xu, Zhihua Wang, Chao Huang, Chengliang Liu, Xiaopeng Jin, Jianguo Zhang

IEEE J. Biomed. Health Informatics, May, 2025

Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought.

Chao Huang, Benfeng Wang, Jie Wen, Chengliang Liu, Wei Wang, Li Shen, Xiaochun Cao

CoRR, May, 2025

Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection.

Yabo Liu, Jinghua Wang, Linhui Xiao, Chengliang Liu, Zhihao Wu, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Multi-view diabetic retinopathy grading via cross-view spatial alignment and adaptive vessel reinforcing.

Yuxin Lin, Xiaoyan Dou, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Tianyi Luo, Jie Wen, Bingo Wing-Kuen Ling, Yong Xu, Wei Wang

Pattern Recognit., 2025

Saliency-Guided Selection Driven Multi-scale Network for Breast Tumor Detection.

Xinfei Gu, Chengliang Liu, Xiaoling Luo, Qihao Xu, Zhihui Lai, Heng Kong

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection.

Yongting Hu, Yuxin Lin, Chengliang Liu, Xiaoling Luo, Xiaoyan Dou, Qihao Xu, Yong Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Multi-view Evidential Learning-based Medical Image Segmentation.

Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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