ICLR 2026
Jin Du, Li Chen, Xun Xian, An Luo, Fangqiao Tian, Ganghua Wang, Charles Doss, Xiaotong Shen, and Jie Ding (2026). Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference. ICLR 2026.
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2025)
An Luo, Jin Du, Fangqiao Tian, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Charles Fleming, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, and Jie Ding (2025). Can Agentic AI Match the Performance of Human Data Scientists? IEEE CAMSAP 2025.
Findings of ACL (EMNLP 2025)
An Luo*, Xun Xian*, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, and Jie Ding (2025). AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. Findings of ACL (EMNLP 2025).
* Co-first authors (equal contribution).
Under review
An Luo and Jie Ding (2026). ADD for Multi-Bit Image Watermarking. Under review.
Under review
An Luo, Jin Du, Xun Xian, Robert Specht, Fangqiao Tian, Ganghua Wang, Xuan Bi, Charles Fleming, Ashish Kundu, Jayanth Srinivasa, Mingyi Hong, Rui Zhang, Tianxi Li, Galin Jones, and Jie Ding (2026). AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science. Under review.
Manuscript
Fangqiao Tian, An Luo, Jin Du, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Jiawei Zhou, Ashish Kundu, Jayanth Srinivasa, Charles Fleming, Rui Zhang, Zirui Liu, Mingyi Hong, and Jie Ding (2025). An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems. Manuscript.