| 2025 | ICCV | NAPPure: Adversarial Purification for Robust Image Classification Under Non-Additive Perturbations. | Junjie Nan, Jianing Li, Wei Chen, Mingkun Zhang, Xueqi Cheng |
| 2025 | ICLR | CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. | Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2024 | AAAI | Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. | Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng |
| 2024 | ECAI | Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. | Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2023 | ADMA | Research on Image Segmentation Algorithm Based on Level Set. | Ping Wu, Mingkun Zhang, Qing Yue, Zhimin Gao |
| 2023 | ICANN | Tooth Segmentation from Cone-Beam CT Images Through Boundary Refinement. | Yiheng Xu, Mingkun Zhang, Sibo Huang, Dongyu Zhang |
| 2023 | WiOpt | Towards Task-Oriented Communication Strategies for Platooning by Deep Reinforcement Learning. | Xiaoyan Kui, Zhihao Zheng, Chao Zhang, Mingkun Zhang, Samson Lasaulce |
| 2019 | ICNC | Privacy-Protected KNN Classification Algorithm Based on Negative Database. | Hucheng Liao, Yu Chen, Shihu Bu, Mingkun Zhang |