[1] Ping He, Xiaonan Gao, Huibin Li*. MG-TVMF: Multi-grained Text-Video Matching and Fusing for Weakly Supervised Video Anomaly Detection[J]. Pattern Recognition, 2026: 113201.

[2] Shiyun Mao, Huibin Li*.Hyperbolic Metric Learning for Generalizable Face Anti-Spoofing[J].IEEE Transactions on Information Forensics & Security,2025,20:7257-7271.

[3] Ping He, Huibin Li*, Miaolin Han. A Self-Paced Multiple Instance Learning Framework for Weakly Supervised Video Anomaly Detection[J].Applied Sciences, 2025, 15(3): 1049.

[4] Qiwen Shi, Zhizhong Xi, Huibin Li*. Nighttime visible and infrared image fusion based on adversarial learning[J]. Infrared Physics & Technology, 2025, 144: 105618.

[5] Shoucheng Yan, Yang Chen, Wenfei Cao, Huibin Li*. Enhancing U-Net with low-rank attention skip block for 3D point cloud segmentation[J]. Neurocomputing, 2025, 626: 129593.

[6] Fudong Xu, Lin Wang, Huibin Li*, Zhipeng Zhu, Fan Jia. Global context volume construction and semantics-guided disparity refinement for stereo matching[J]. Neurocomputing, 2025, 617: 128995.

[7] Cuican Yu, Fengxun Sun, Zihui Zhang, Huibin Li*, Zongben Xu, Liming Chen. Adaptive representation learning and sample weighting for low-quality 3D face recognition[J]. Pattern Recognition, 2025, 159: 111161.

[8] Shiyun Mao, Ruolin Chen, Huibin Li*. Weighted joint distribution optimal transport based domain adaptation for cross-scenario face anti-spoofing[J]. International Journal of Computer Vision, 2025, 133(2): 590-610.

[9] Fudong Xu, Lin Wang, Huibin Li*. A Unified and Efficient Semi-supervised Learning Framework for Stereo Matching, Pattern Recognit, 2024,147:110128.

[10] Ping He, Fan Zhang, Huibin Li*. Adversarial and focused training of abnormal videos for weakly-supervisedanomaly detection. Pattern Recognit, 2024, 147:110119.

[11] Gang Li, Ping He, Fan Zhang, Huibin Li*. Adversarial Composite Prediction of Normal Video Dynamics for Anomaly Detection,Computer Vision and Image Understanding, 2023, 232: 103686.

[12] Cuican Yu, Zihui Zhang, Huibin Li*, Jian Sun, Zongben Xu：Meta-learning-based Adversarial Training for Deep 3D Face Recognition on Point Clouds. Pattern Recognit. 134: 109065 (2023).

[13] Henghui Zhi, Chenyang Yin, Huibin Li*, Shanmin Pang: An Unsupervised Monocular Visual Odometry Based on Multi-Scale Modeling. Sensors,2022, 22(14): 5193.

[14] Chenyang Yin, Henghui Zhi, Huibin Li*. Dense Feature Learning and Compact Cost Aggregation for Deep Stereo Matching[J].IEEE Access, 2022, 10: 100999-101010.

[15] Cuican Yu, Zihui Zhang, Huibin Li*, Jian Sun, Zongben Xu. A distribution independence based method for 3D face shape decomposition[J].CVIU, 2021, 210: 103244.

[16] Yan Yang, Jian Sun, Huibin Li*, Zongben Xu: ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. IEEE Trans. Pattern Anal. Mach. Intell,2020, 42(3): 521-538. (入选2022年ESI高被引论文).

[17] Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li*, Deyu Meng, Hongying Meng, Sheng Liu. Discovering influential factors in variational autoencoders. Pattern Recognit, 2020, 100: 107166.

[18] Ruixuan Yu, Jian Sun, Huibin Li*. Second-Order Spectral Transform Block for 3D Shape Classification and Retrieval. IEEE Trans. Image Process,2020, 29: 4530-4543.