Jingzhi Li received the Ph.D. degree in cyberspace security from the University of Chinese Academy of Sciences, Beijing, China. She is currently an Associate Professor with the Institute of Information Engineering, Chinese Academy of Sciences. She was selected to join the Science and Technology Think Tank Young Talents Program of China Association for Science and Technology. Her current research interests include image processing and face security.

1. Binyi Su, Hua Zhang, Jingzhi Li, Zhong Zhou. Towards Generalized Few-Shot Open-Set Object Detection, IEEE Transactions on Image Processing, 2024
2. Shangquan Sun, Wenqi Ren, Jingzhi Li, Rui Wang, Xiaochun Cao. Logit Standardization in Knowledge Distillation, CVPR 2024 
3. Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao. Less is More: Fewer Interpretable Region via Submodular Subset Selection, ICLR 2024 (Oral)
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, 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, 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, 32: 3040-3053 (2023) 
7. Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li*, Xiaojun Jia*, Xiaochun Cao. Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization, AAAI 2023 
8. Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao. Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation, ACM Multimedia 2023
9. 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, 19(6): 220:1-220:22 (2023). 
10. 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, ECCV 2022. 
11. Pengwen Dai, Yang Li, Hua Zhang, Jingzhi Li, Xiaochun Cao. Accurate Scene Text Detection via Scale-Aware Data Augmentation and Shape Similarity Constraint, IEEE Transactions on Multimedia, 24: 1883-1895 (2022). 
12. 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 2021: 3891-3899 (Oral)
13. Bing Han, Xiaoguang Han, Hua Zhang, Jingzhi Li, Xiaochun Cao. Two Stream Network for Deepfake Detection via Learnable SRM, IEEE Transactions on Biometrics, Behavior, and Identity Science, 3(3): 320-331 (2021). 
14. Jingzhi Li, Lutong Han, Hua Zhang, Xiaoguang Han, Jingguo Ge, Xiaochun Cao. Learning Disentangled Representations for Identity Preserving Surveillance Face Camouflage, 25th International Conference on Pattern Recognition ICPR 2020: 9748-9755.