Publications (Google Scholar Profile)
* indicates Equal Contribution;
2024
Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation.
Ziqiang Li, Chaoyue Wang, Xue Rui, Chao Xue, Jiaxu Leng, ZhangJie Fu, Bin Li. IEEE Transactions on Circuits and Systems for Video Technology, 2024.
[PDF]One-shot Generative Domain Adaptation in 3D GANs.
Ziqiang Li</b>, Yi Wu, Chaoyue Wang, Xue Rui, Bin Li. International Journal of Computer Vision, 2024.
[PDF]A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks.
Ziqiang Li, Hong Sun, Pengfei Xia, Beihao Xia, Xue Rui, Wei Zhang, Qinglang Guo, Zhangjie Fu, Bin Li. IEEE Transactions on Information Forensics and Security, 2024.
[PDF]Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm.
Yi Wu*, Ziqiang Li*, Heliang Zheng, Chaoyue Wang, Bin Li. ECCV, 2024.
[PDF]Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios.
Ziqiang Li</b>, Hong Sun, Pengfei Xia, Heng Li, Beihao Xia, Yi Wu, Bin Li. ICLR, 2024.
[PDF]
2023
- Domain Re-Modulation for Few-Shot Generative Domain Adaptation.
Yi Wu*, Ziqiang Li*, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, and Dacheng Tao. NeurIPS, 2023.
[PDF]
2022
Exploring The Effect of High-frequency Components in GANs Training.
Ziqiang Li, Pengfei Xia, Xue Rui, and Bin Li. ACM Transactions on Multimedia Computing, Communications and Applications, 2022.
[PDF]A Systematic Survey of Regularization and Normalization in GANs.
Ziqiang Li, Muhammad Usman, Rentuo Tao, Pengfei Xia, Chaoyue Wang, Huanhuan Chen, and Bin Li. Acm Computing Survey, 2022.
[PDF]A New Perspective on Stabilizing GANs Training: Direct Adversarial Training.
Ziqiang Li, Pengfei Xia, Rentuo Tao, Hongjing Niu, and Bin Li. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022.
[PDF]FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs.
Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, and Bin Li. ECCV, 2022.
[PDF]A Comprehensive Survey on Data-Efficient GANs in Image Generation. Preprint.
Ziqiang Li, Beihao Xia, Jing Zhang, Chaoyue Wang, and Bin Li. arXiv preprint arXiv:2204.08329, 2022.
[PDF]Data-Efficient Backdoor Attacks.
Pengfei Xia, Ziqiang Li, Wei Zhang, and Bin Li. IJCAI, 2022.
[PDF]Enhancing Backdoor Attacks with Multi-Level MMD Regularization.
Pengfei Xia, Hongjing Niu, Ziqiang Li, and Bin Li. IEEE Transactions on Dependable and Secure Computing, 2022.
[PDF]
2021
On the Receptive Field Misalignment in CAM-based Visual Explanations.
Pengfei Xia, Hongjing Niu, Ziqiang Li, and Bin Li. Pattern Recognition Letters, 2021.
[PDF]Understanding the Error in Evaluating Adversarial Robustness. Preprint.
Pengfei Xia, Ziqiang Li, Hongjing Niu and Bin Li. arXiv preprint arXiv:2101.02325, 2021.
[PDF]Interpreting the Latent Space of GANs via Measuring Decoupling.
Ziqiang Li, Rentuo Tao, Jie Wang, Fu Li, Hongjing Niu, Mingdao Yue, Bin Li. IEEE Transactions on Artificial Intelligence, 2021.
[PDF]
2020
- Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation.
Ziqiang Li*, Rentuo Tao*, Hongjing Niu, Mingdao Yue, Bin Li. 25th International Conference on Pattern Recognition (ICPR), 2020.
[PDF] - DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image Segmentation.
Ziqiang Li, Rentuo Tao, Qianrun Wu, Bin Li. 25th International Conference on Pattern Recognition (ICPR), 2020.
[PDF]