Scholar
Haipeng Chen
Google Scholar ID: YT-b72QAAAAJ
Assistant professor of data science, William & Mary
Citations & Impact
Citations
902
H-index
16
i10-index
24
Publications
20
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Best Paper Nomination at AAMAS-2021
- Innovation Demonstration Award Runner-up at IJCAI-2019
- Champion of the 2017 Microsoft Malmo Collaborative AI Challenge
- Finalist of the Reinforcement Learning Competition track at KDD-2019
- Publications in premier AI/data science venues including AAAI, IJCAI, NeurIPS, ICLR, AAMAS, UAI, KDD, ICDM, and journals such as IEEE/ACM Transactions and Transportation Research
- Co-chaired workshops on AI and social impact, including ICLR-2021, IJCAI-2021, AIGC-2023, and Harvard CRCS workshops
- Regular reviewer for top AI conferences: AAAI, IJCAI, AAMAS, NeurIPS, ICLR, ICML
- Research covered by media outlets including The Wall Street Journal, Scientific American, AAAS, Leiphone, and Phoenix News
Background
- Assistant Professor and Graduate Program Director of the Data Science Department at William & Mary
- Director of the W&M Data-Driven Decision Intelligence (D3i) Lab
- Vice Chair of the AI Blue Ribbon Collaborative at Center for Telehealth and eHealth Law (CTeL)
- Primary research interest in Use-Inspired AI
- Focuses on reinforcement learning, generative AI, and optimization
- Application domains include health, environment, and physical sciences
- Collaborates with non-profits such as The Family Van, Mobile Health Map, Safe Place for Youth, and Wadhwani AI
