I am Yi Zhang (张艺), a third-year Ph.D. student at the Warwick Manufacturing Group (WMG), University of Warwick. I am fortunate to be supervised by Dr. Xingyu Zhao and Prof. Siddartha Khastgir. Before beginning my Ph.D. journey, I received both my Bachelor's and Master's degrees in Computer Science from Beijing Language and Culture University (BLCU). My Master's research focused on Natural Language Processing (NLP), particularly on knowledge graphs, Chinese semantic entity recognition, and semantic understanding, under the supervision of Prof. Endong Xun.
My current research interests include:
- Probabilistic Robustness
- Vision-Language Foundation Models
- Safe and Reliable Generative Models
- Trustworthy Artificial Intelligence (AI)
🔥 News
- 2026.02: One paper accepted by Information Fusion
- 2025.11: One paper accepted to AAAI 2026
- 2025.07: One paper accepted to ICCV 2025
- 2025.07: Winning the Warwick Star Award! Postgraduate Research Student Award--Excellence in Innovation
- 2024.12: Supported by the NVIDIA Academic Grant Program.
- 2024.09: One paper accepted to NeurIPS 2024
- 2024.06: One paper accepted to ECCV 2024
- 2024.03: One paper accepted to IV 2024
- 2023.12: One paper accepted to IALP 2023
📄 Preprints
📝 Publications
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Trustworthy text-to-image diffusion models: A timely and focused survey [Paper]
Yi Zhang, Zhen Chen, Chih-Hong Cheng, Wenjie Ruan, Xiaowei Huang, Dezong Zhao, David Flynn, Siddartha Khastgir, Xingyu Zhao
Information Fusion -
Fragile by Design: On the Limits of Adversarial Defenses in Personalized Generation [Paper]
Zhen Chen, Yi Zhang, Xiangyu Yin, Chengxuan Qin, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
AAAI 2026 -
Adversarial Training for Probabilistic Robustness [Paper]
Yi Zhang, Yuhang Chen, Zhen Chen, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Xingyu Zhao
ICCV 2025 -
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation [Paper]
Yi Zhang, Yun Tang, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Paul Jennings, Xingyu Zhao
ECCV 2024 -
Augmenting Scenario Description Languages for Intelligence Testing of Automated Driving Systems [Paper]
Yun Tang, Antonio A Bruto Da Costa, Patrick Irvine, Tudor Dodoiu, Yi Zhang, Xingyu Zhao, Siddartha Khastgir, Paul Jennings
IV 2024 -
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models [Paper]
Zhen Chen, Yi Zhang, Fu Wang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
NeurIPS 2024 -
Long-term memory for large language models through topic-based vector database [Paper]
Yi Zhang, Zhongyang Yu, Wanqi Jiang, Yufeng Shen, Jin Li
IALP 2023 -
Distant Supervision For Chinese Semantic Role Labeling [Paper]
Yi Zhang, Guirong Wang, Endong Xun
IALP 2022 -
Chinese Argument Identification Based on Bert [Paper]
Yi Zhang, Guirong Wang, Ye Xiao, Endong Xun
CLSW 2022
👩🏫 Academic Services
- Reviewer: ICLR, ICCV, ECCV, CVPR...
👩💻 Experience
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OpenDCO
NLP Algorithm Project Engineer (Dec 2022 – Sep 2023) -
ByteDance AI-Lab
NLP Algorithm Engineer Intern (Apr 2022 – Aug 2022) -
DiDi Global Inc.
NLP Algorithm Engineer Intern (Sep 2021 – Mar 2022)
🎓 Education Background
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The University of Warwick
Ph.D. in Engineering, Oct 2023 – Oct 2027 -
Beijing Language and Culture University
M.Sc. in Computer Science, Sep 2020 – Jul 2023 -
Beijing Language and Culture University
B.Eng. in Computer Science, Sep 2016 – Jul 2020