I am an (applied) machine learning researcher. My current research interests lie in the development of artificial intelligence and representation learning in the context of business, specifically AI (LLM) in finance, marketing, and healthcare. I received my PhD in computer science from Northwestern University. I am currently an Associate Professor of Information Systems (on sabbatical), an Emerging Fellow in AI and Business Research at the Robert H. Smith School of Business, University of Maryland, College Park. I am affiliated with AMSC, MTI, and AIM. I was a (part time) research scientist at Meta from 2024 to 2026.
kpzhang@umd.edu
VMH 4316, 7699 Mowatt Ln
College park, MD 20740
(301) 405-0702 (O)
Research Group
Current Students:
Lang Song, PhD in Applied Math (2020 - )
Frankie H. Shi, PhD in IS (2022 - )
Allen Li, PhD in IS (2025 - )
Shuxi Liang, visiting PhD (2025 - )
Former Students:
Efe Sertkaya(2021 - 2026)
Bingze Xu (2020 - 2026)
Yuchen Hao (2025-2026)
Wei Feng (2020 - 2025)
Feiyu E (Postdoc) (2023 - 2025)
Xuewen Han (2022 - 2025)
Mingwei Sun (2018 - 2024)
Dongcheng Zhang (2019 - 2024)
Recent Work (2026)
Journal
Frankie H. Shi, Anil Gupta, Waverly W. Ding, and Kunpeng Zhang
Model available upon request
GNN-Based Spatio-Temporal Manifold Learning: An Application of Landslide Prediction
Liu Yu, Rongfan Li, Kunpeng Zhang, Siyuan Liu, Goce Trajcevski, Jin Wu, and Fan Zhou
Machine Learning, Accepted
Understanding Interactive Stock Dynamics via Sensitivity-aware Dependency Learning
Li Huang, Yanzhe Xie, Zizheng Wang, Qiang Gao, Kunpeng Zhang, and Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026
Pengfei Yang, Minyang Liu, Ting Zhong, Kunpeng Zhang, Philip S. Yu, and Fan Zhou
IEEE Transactions on Mobile Computing (TMC), 2026
Learning from Earnings Calls: Graph-Based Conversational Modeling for Financial Prediction
Yi Yang, Yixuan Tang, Yangyang Fan, and Kunpeng Zhang
Information Systems Research (ISR), 2026
Conference
Beyond Isolated Investor: Predicting Startup Success via Roleplay-Based Collective Agents
Zhongyang Liu, Haoyu Pei, Xiangyi Xiao, Xiaocong Du, Yihui Li, Suting Hong, Kunpeng Zhang, and Haipeng Zhang
IJCAI-ECAI, 2026
Haoyu Pei, Zhongyang Liu, Xiangyi Xiao, Xiaocong Du, Suting Hong, Kunpeng Zhang, and Haipeng Zhang
ACL Findings, 2026
Frankie H. Shi, Jin Zhang, and Kunpeng Zhang
ICHI, 2026
Beyond Graph Priors: A Co-evolving Framework under Uncertainty for Enterprise Resilience Assessment
Yanzhe Xie, Li Huang, Qiang Gao, Xueqin Chen, Fan Zhou, and Kunpeng Zhang
AAAI, 2026
