Publications (Google Scholar Profile)
* indicates Equal Contribution;
2024
- Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios.
Ziqiang Li* , Hong Sun*, Pengfei Xia, Heng Li, Beihao Xia, Yi Wu, Bin Li. ICLR, 2024.
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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.
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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.
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