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Haipeng Chen

Use-Inspired AI Reinforcement Learning Generative AI AI For Social Good Data-Driven Decision Intelligence
College of William and Mary Computer Science

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

51
Total Papers
1113
Total Citations
18
H-Index
2016-2026
Active Research Span

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.

2026
3
2025
7
2024
7
2023
3
2022
5
2021
8
2020
4
2019
7
2018
3
2017
3
2016
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 12
Journal 9
Book 1

Top Coauthors

Chen Subrahmanian Tambe

Research Impact by Period

2025-2026

Period Stats
Papers 10
Citations 57
Avg. Citations / Paper 5.7
H-Index 4

2020-2024

Period Stats
Papers 27
Citations 340
Avg. Citations / Paper 12.6
H-Index 11

2015-2019

Period Stats
Papers 14
Citations 716
Avg. Citations / Paper 51.1
H-Index 13

Contact and Professional Links

Contact Information

hchen23@wm.edu

Detected Research Keywords

Reinforcement Learning Approach Influence Maximization Reinforcement Maximization Reinforcement Learning Dynamic Electronic Toll Electronic Toll Collection Word Embeddings Deter Embeddings Deter Intellectual Deter Intellectual Property Intellectual Property Theft Strategic Decision Making