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) for finance and marketing. I received my PhD in computer science from Northwestern University. I am currently an Associate Professor of Information Systems, 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 am also a (part time) research scientist at Meta.
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 - )
Bingze Xu, PhD in IS (2020 - )
Efe Sertkaya, PhD in OR/MS (2021 - )
Frankie Shi, PhD in IS (2022 - )
Allen Li, PhD in IS (2025 - )
Yuchen Hao, visiting PhD (2025 - )
Shuxi Liang, visiting PhD (2025 - )
Former Students:
Wei Feng (2020 - 2025)
Feiyu E (Postdoc) (2023 - 2025)
Xuewen Han (2022 - 2025)
Mingwei Sun (2018 - 2024)
Dongcheng Zhang (2019 - 2024)
Recent Work (2025-2026)
Journal
Learning from Earnings Calls: Graph-Based Conversational Modeling for Financial Prediction
Yi Yang, Yixuan Tang, Yangyang Fan, and Kunpeng Zhang
Information Systems Research (ISR), Accepted
Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction
Zhangtao Cheng, Yang Liu, Ting Zhong, Kunpeng Zhang, Fan Zhou, and Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Shiwei Lyu, Xiaofeng Li, Suting Hong, Qing Ke, Jinjie Gu, Kunpeng Zhang, and Haipeng Zhang
ACM Transactions on Intelligent Systems and Technology (TIST), 2025
Relational Stock Selection via Probabilistic State Space Learning
Qiang Gao, Zhengxiang Liu, Li Huang, Kunpeng Zhang, Jun Wang, and Guisong Liu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
COMET: An Interactive Framework for Efficient and Effective Community Search via Active Learning
Jiawei Zhou, Kai Wang, Jianwei Wang, Kunpeng Zhang, and Xuemin Lin
INFORMS Journal on Computing, 2025
Divide and Contrast: A Text-Based Method for Firm Market Risk Prediction
Yi He, Yi Yang , Defu Lian, and Kunpeng Zhang
INFORMS Journal on Computing, 2025
Identifying Influential Users by Topic in Unstructured User-generated Content
Mirai Igarashi, Kunpeng Zhang, PK Kannan, and Nobuhiko Terui
Production and Operations Management, 2025
Conference
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
Hold Onto That Thought: Assessing KV Cache Compression On Reasoning
Minghui Liu, Aadi Palnitkar, Tahseen Rabbani, Hyunwoo Jae, Kyle Rui Sang, Dixi Yao, Shayan Shabihi, Fuheng Zhao, Tian Li, Ce Zhang, Furong Huang, and Kunpeng Zhang
NeurIPS Workshop on Efficient Reasoning, 2025
Zhangtao Chen, Yuhao Ma, Yuhao Ma, Jian Lang, Kunpeng Zhang, Ting Zhong, Yong Wang, and Fan Zhou
SIGKDD, 2025
Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting
Yanzhen Xie, Qiang Gao, Kunpeng Zhang, Guisong Liu, Xueqin Chen
SIGKDD, 2025
Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs
Changrong Xiao, Wenxing Ma, Qingping Song, Sean Xin Xu, Kunpeng Zhang, Yufang Wang, and Qi Fu
LAK, 2025
Commonality Augmented Disentanglement for Multimodal Crowdfunding Success Prediction
Xvoee Xu, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, and Jingkuan Song
ICASSP, 2025