Kunpeng 'KZ' Zhang

Kunpeng 'KZ' Zhang

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)

Google Scholar

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



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


Interpolate-then-Detect: A New Framework of FMCW Radar Object Detection with Frame Interpolation for Autonomous Driving


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

[code]


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


Analyze Like a Venture Capitalist: Information-Gain and Knowledge Enhanced Graph Reasoning for Startup Success Prediction


Haoyu Pei, Zhongyang Liu, Xiangyi Xiao, Xiaocong Du, Suting Hong, Kunpeng Zhang, and Haipeng Zhang

ACL Findings, 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