代表性论著
1. Jingzhi Li, Changjiang Luo, Hua Zhang, Yang Cao, Xin Liao, Xiaochun Cao. Anti-Fake Vaccine: Safeguarding Privacy Against Face Swapping via Visual-Semantic Dual Degradation, International Journal of Computer Vision (IJCV), 133 (4), 2025-2043 (2025)
2. Jingzhi Li, Changjiang Luo, Ruoyu Chen, Hua Zhang, Wenqi Ren, Jianhou Gan, Xiaochun Cao. FaceInsight: A Multimodal Large Language Model for Face Perception, ACM Multimedia (MM), 2025
3. 梁思源, 何英哲, 刘艾杉, 李京知*, 代朋纹, 操晓春. 面向大语言模型的越狱攻击与防御综述[J], 信息安全学报, 2024,9(5):56-86
4. Jingzhi Li, Hua Zhang, Siyuan Liang, Pengwen Dai, Xiaochun Cao. Privacy-Enhancing Face Obfuscation Guided by Semantic-Aware Attribution Maps, IEEE Transactions on Information Forensics and Security (TIFS), 18: 3632-3646 (2023)
5. Sixuan Liu, Jingzhi Li*, Hua Zhang, Long Xu, and Xiaochun Cao. Prediction with Visual Evidence: Sketch Classification Explanation via Stroke-Level Attributions, IEEE Transactions on Image Processing (TIP), 32: 4393-4406 (2023)
6. Shangquan Sun, Wenqi Ren, Jingzhi Li*, Kaihao Zhang, Meiyu Liang, Xiaochun Cao. Event-Aware Video Deraining via Multi-Patch Progressive Learning, IEEE Transactions on Image Processing (TIP), 32: 3040-3053 (2023)
7. Ruoyu Chen, Jingzhi Li*, Hua Zhang, Changchong Sheng, Li Liu, and Xiaochun Cao. Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 19(6): 220:1-220:22 (2023)
8. Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li*, Xiaojun Jia*, Xiaochun Cao. Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization, The 38th AAAI Conference on Artificial Intelligence (AAAI), 2023: 764-772
9. Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li*, Baoyuan Wu*, Xiaochun Cao. A Large-scale Multiple-objective Method for Black-box Attack against Object Detection, The 17th European Conference on Computer Vision (ECCV), 2022: 619-636
10. Jingzhi Li, Lutong Han, Ruoyu Chen, Hua Zhang, Bing Han, Lili Wang, Xiaochun Cao. Identity-Preserving Face Anonymization via Adaptively Facial Attributes Obfuscation, ACM Multimedia (MM), 2021: 3891-3899
11. Ruoyu Chen, Hua Zhang, Jingzhi Li, Li Liu, Zhen Huang, and Xiaochun Cao. Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
12. Ruoyu Chen, Siyuan Liang, Jingzhi Li, Shiming Liu, Maosen Li, Zheng Huang, Hua Zhang, Xiaochun Cao. Interpreting Object-level Foundation Models via Visual Precision Search, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
13. Binyi Su, Hua Zhang, Jingzhi Li, Zhong Zhou. Towards Generalized Few-Shot Open-Set Object Detection, IEEE Transactions on Image Processing (TIP), 33: 1389-1402 (2024)
14. Shangquan Sun, Wenqi Ren, Jingzhi Li, Rui Wang, Xiaochun Cao. Logit Standardization in Knowledge Distillation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024: 15731-15740
15. Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao. Less is More: Fewer Interpretable Region via Submodular Subset Selection, The 12th International Conference on Learning Representations (ICLR), 2024
16. Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao. Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation, ACM Multimedia (MM), 2023: 768-778