| 2023 | ICONIP | Fooling Downstream Classifiers via Attacking Contrastive Learning Pre-trained Models. | Chenggang Li, Anjie Peng, Hui Zeng, Kaijun Wu, Wenxin Yu |
| 2023 | ICONIP | Towards Undetectable Adversarial Examples: A Steganographic Perspective. | Hui Zeng, Biwei Chen, Rongsong Yang, Chenggang Li, Anjie Peng |
| 2022 | ICONIP | Countering the Anti-detection Adversarial Attacks. | Anjie Peng, Chenggang Li, Ping Zhu, Xiaofang Huang, Hui Zeng, Wenxin Yu |
| 2022 | ICONIP | Effect of Image Down-sampling on Detection of Adversarial Examples. | Anjie Peng, Chenggang Li, Ping Zhu, Zhiyuan Wu, Kun Wang, Hui Zeng, Wenxin Yu |
| 2019 | VCIP | Vehicle Re-Identification: Logistic Triplet Embedding Regularized by Label Smoothing. | Chenggang Li, Yinhao Wang, Zhicheng Zhao, Fei Su |
| 2019 | VCIP | Saliency-based Deep Multi-level Semantic Feature Fusion for Person Re-identification. | Yinhao Wang, Chenggang Li, Qingwen Hu, Zhicheng Zhao, Fei Su |
| 2011 | ICNC | Efficient building algorithms of decision tree for uniformly distributed uncertain data. | Chenggang Li, Liping Huang, Ling Tian |
| 2008 | IDEAL | Automatic Order of Data Points in RE Using Neural Networks. | Xueming He, Chenggang Li, Yujin Hu, Rong Zhang, Simon X. Yang, Gauri S. Mittal |