Haipeng Chen
About
Haipeng Chen is an assistant professor and graduate program director of the Data Science Department at William & Mary. He directs the W&M Data-Driven Decision Intelligence (D3i) Lab. Externally, he serves as the vice chair of the AI Blue Ribbon Collaborative at Center for Telehealth and eHealth Law (CTeL). Previously, he was a CRCS postdoctoral fellow in Computer Science at Harvard University (with Milind Tambe), and a postdoc fellow of Computer Science at Dartmouth College (with V.S. Subrahmanian). He obtained his Ph.D. from the Interdisciplinary Graduate School (IGS), Nanyang Technological University (NTU), advised by Bo An and Yeng Chai Soh. He got a B.S. in Physics from the University of Science and Technology of China (USTC). His primary research interest lies in Use-Inspired AI. For AI techniques, he focuses on reinforcement learning, generative AI, and optimization. For application domains, he is interested in health, environment, and physical sciences. His research has been recognized with the best paper nomination at AAMAS-2021, Innovation Demonstration Award runner-up at IJCAI-2019, Champion of the 2017 Microsoft Malmo Collaborative AI Challenge, and finalist of the Reinforcement Learning Competition track at KDD-2019. He has published in premier AI/data science conferences such as AAAI, IJCAI, NeurIPS, ICLR, AAMAS, UAI, KDD, ICDM, and journals (e.g., IEEE/ACM Transactions, Transportation Research). He served as co-chair for workshops on the theme of AI and social impact, including the ICLR-2021 workshop on Synthetic Data Generation: Quality, Privacy, Bias, IJCAI-2021 workshop on AI for Social Good, AIGC-2023 workshop on Reinforcement Learning in the Real World, and Harvard CRCS workshop on Using AI for Social Good. He regularly serves as a reviewer for premier AI conferences such as AAAI, IJCAI, AAMAS, NeurIPS, ICLR, and ICML. As part of his research agenda, he has collaborated with non-profits such as The Family Van, Mobile Health Map, Safe Place for Youth, and Wadhwani AI. His work has been covered by media such as With Good Reason (radio interview), The Wall Street Journal, Scientific American, Digital Guardian, ScienceBlog, AAAS, 雷锋网, and 凤凰网.
Research Performance Summary
First Recorded Paper
MAP: Frequency-based maximization of airline profits based on an ensemble forecasting approach
Year: 2016
Citations: 34
Venue: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge
Latest Recorded Paper
DIP: Dynamic In-Context Planner For Diffusion Language Models
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2601.03199
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.