About me
I am a Ph.D. candidate at the South China University of Technology (SCUT), School of Software Engineering, advised by Prof. Mingkui Tan and co-supervised by Dr. Feng Liu and Dr. Bo Han. I hold a Bachelor’s degree in Mathematics from the School of Mathematics, South China University of Technology. My research focuses on AI-generated data detection, adversarial defense, and model compression, with publications in top-tier venues including NeurIPS, ICML, ICLR, CVPR, ICCV, IJCAI, and journals such as Neural Networks and TCSVT. I also actively serve as a reviewer for leading conferences (NeurIPS, ICML, ICLR, ACMMM) and journals (TNNLS, Neural Networks).
🔥 News
- 2025.05: 🎉🎉 Three papers are accepted by ICML 2025.
- 2025.05: 🎉🎉 One papers is accepted by IJCAI 2025.
- 2025.01: 🎉🎉 One papers is accepted by ICLR 2025.
📝 Publications * indicates co-first author
- Curse of High Dimensionality Issue in Transformer for Long-context Modeling. Shuhai Zhang, Zeng You, Yaofo Chen, Zhiquan Wen, Qianyue Wang, Zhijie Qiu, Yuanqing Li, Mingkui Tan. ICML 2025
- Core Context Aware Attention for Long Context Language Modeling. Yaofo Chen, Zeng You, Shuhai Zhang*, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan. ICML 2025
- Deep Electromagnetic Structure Design Under Limited Evaluation Budgets. Shijian Zheng, Fangxiao Jin, Shuhai Zhang, Quan Xue, Mingkui Tan. ICML 2025
- Dynamic Ensemble Reasoning for LLM Experts. Jinwu Hu, Yufeng Wang, Shuhai Zhang*, Kai Zhou, Guohao Chen, Yu Hu, Bin Xiao, Mingkui Tan. IJCAI 2025
- Deep Kernel Relative Test for Machine-generated Text Detection. Yiliao Song, Zhenqiao Yuan, Shuhai Zhang, Zhen Fang, Jun Yu, Feng Liu. ICLR 2025
- Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy. Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan. ICLR 2024
- Cross-Device Collaborative Test-Time Adaptation Guohao Chen, Shuaicheng Niu, Deyu Chen, Shuhai Zhang, Changsheng Li, Yuanqing Li, Mingkui Tan. NeurIPS 2024
- HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models Yifan Yang, Dong Liu, Shuhai Zhang, Zeshuai Deng, Zixiong Huang, Mingkui Tan. CVPR 2024
- Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score. Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan. ICML 2023
- Cross-ray neural radiance fields for novel-view synthesis from unconstrained image collections Yifan Yang, Shuhai Zhang, Zixiong Huang, Yubing Zhang, Mingkui Tan. ICCV 2023 Oral
- Learning to Generate Diverse Data From a Temporal Perspective for Data-Free Quantization Hui Luo, Shuhai Zhang, Zhuangwei Zhuang, Jiajie Mai, Mingkui Tan, Jianlin Zhang. TCSVT 2024
- Generative data free model quantization with knowledge matching for classification Shoukai Xu, Shuhai Zhang*, Jing Liu, Bohan Zhuang, Yaowei Wang, Mingkui Tan. TCSVT 2023
- Learning defense transformations for counterattacking adversarial examples Jincheng Li, Shuhai Zhang*, Jiezhang Cao, Mingkui Tan. Neural Networks 2023
📖 Educations
- 2020.06 - now, PhD, South China University of Technology, Guangzhou.
- 2016.09 - 2020.06, Undergraduate, South China University of Technology, Guangzhou.
💬 Invited Talks
- 2023.11, A Special Topic on Trustworthy Machine Learning for Incomplete Data | [video]