Research
Part of Recent Works
(* stands for equal contribution and authors are listed alphabetically)
- Xingchen Xu, Stephanie Lee, Yong Tan, “Algorithmic Collusion or Competition.”
- Preliminary version appears in WDS 2023 (Phoenix), BizAI 2025 (UTD).
- Jin Liu*, Xingchen Xu*, Xi Nan, Yongjun Li, Yong Tan, “Generate the Future of Work through AI.”
- WITS Best Paper Runner Up, 2023.
- Preliminary version appears in Biz&GenAI 2023 (Wharton@San Francisco), WDS 2023 (Phoenix), AIMLBA 2023 (Temple@Philadelphia), WITS 2023 (Hyderabad, India), AI&Workplace 2024 (Wharton Online), CMIC 2024 (Zhengzhou, China), INFORMS 2024 (Seattle), CIST 2024 (Seattle).
- Lijia Ma, Xingchen Xu, Yumei He, Yong Tan, “Learning to Adopt Generative AI.”
- Preliminary version appears in Biz&GenAI 2024 (Wharton@San Francisco), INFORMS 2024 (Seattle), CIST 2024 (Seattle), AIMLBA 2024 (Yale@New Haven).
- Moxin Team, “7B Fully Open Source Moxin-LLM – From Pretraining to GRPO-based Reinforcement Learning Enhancement.”
- Preliminary version appears in ICLR 2025 SCI-FM (Singapore).