Welcome to the Ethical and Trustworthy Human-Intelligent Computing (ETHIC) Lab! Our mission is to build trustworthy human–ML ecosystems in which intelligent systems and society actively learn from, influence, and co-evolve with one another toward responsible and socially beneficial outcomes.

PhD Students

Tian Xie
Tian joined OSU in Fall 2022. His research focuses on trustworthy machine learning, emphasizing long-term fairness and robustness of ML algorithms and generative models. His recent work develops fair, welfare-aware, and robust theoretical frameworks under distribution shifts, as well as safety evaluation benchmarks for large language models. Tian also enjoys exploring ancient predictive systems such as BaZi, astrology, and tarot.
Google Scholar

Xuwei Tan
Xuwei joined OSU in Fall 2022. His research interests include (large) vision–language models, multimodal learning, trustworthy AI (fairness, privacy, and robustness), and AI for Science. Xuwei's work has bee applied to various domains such as healthcare, earth sciences, and finance.
Personal Website

Zhiqun Zuo
Zhiqun joined OSU in Fall 2022. His research centers on algorithmic fairness, spanning counterfactual fairness, observational group fairness, and individual fairness. He has explored relationships of different fairness notions and fairness in strategic environments. Recently, he has expanded research to large language models alignment.
Google Scholar, LinkedIn

Zhongteng Cai
Zhongteng joined OSU in Fall 2023. His research focuses on socially responsible generative AI, including efficient ML, differential privacy, algorithmic fairness, and reliable diffusion models.
Google Scholar

Ding Zhu
Ding joined OSU in Spring 2024. His research focuses on efficient and robust ML, including learning under class imbalance and AI alignment under noisy feedback.
Google Scholar

Xiukun Wei
Xiukun joined the group in Fall 2024. Her research lies at the intersection of ML and algorithmic game theory, including AI safety, robustness, alignment, multi-agent systems, and markets for generative AI systems.
Google Scholar

Yang Zhang
Yang joined OSU in Fall 2025. His research focuses on the theoretical foundations of AI alignment and trustworthy ML ecosystems with interacting agents.

Shihao Wang
Shihao joined OSU in Fall 2025. His research interests include differential privacy, adversarial ML, and the safety of large language models.

Master and Undergraduate Students

Alumni

• Wenhan, Master 2023
• Rahul Mukthineni, CSE Master 2023, Thesis: Leveraging Microsoft Azure Cognitive Services to Unlock Insights from Free-Text Veterinary Medical Records
• Yunqing Qiu, CSE Undergraduate 2022
• Yizhi Wang, ECE Undergraduate 2021
• Chris Liu, CSE Undergraduate 2021

A note to prospective students

I am always looking for highly motivated students! If you are interested in joining our group, please send me an email with the following information: (1) your CV; (2) a copy of your transcripts; (3) a brief description of your background and research interests. Please start your email subject with "[Prospective PhD Student]". I apologize in advance as I may not be able to reply to every email.

If you are a B.Sc. or M.Sc. student at OSU interested in my research, please feel free to reach out. We can find a time to meet and discuss potential projects.

Sponsors

I gratefully acknowledge the support from NSF, Cisco, Center for Clinical and Translational Science, Nationwide Children’s Hospital, and OSU Translational Data Analytics Institute.