Yingxue Zhang

Yingxue Zhang

Assistant Professor

Computer Science

Binghamton University

Email: yzhang42@binghamton.edu

Biography

Yingxue Zhang is an Assistant Professor in the School of Computing at Binghamton University. She got her Ph.D. degree in Data Science from Worcester Polytechnic Institute in 2022. Her research focuses on AI for urban computing and big data analytics, with particular interests in (1) AI for human decision-making and behavior analysis and (2) AI for spatial-temporal data mining, with applications in smart cities and urban intelligence.

Openings: I am looking for self-motivated PhD students to work on deep learning topics. I’m particularly interested in candidates with background in CS/AI/Data Mining/Machine Learning/Stat/Math and strong programming skills. Please send me a short email with your CV and transcript.

Interests
  • Artificial Intelligence
  • Reinforcement Learning
  • Imitation Learning
  • Spatial-Temporal Data Mining
  • LLMs / VLMs / Foundation Models
  • Generative AI
  • Representation Leaning
Education

  • PhD in Data Science, 2022

    Worcester Polytechnic Institute

  • MS in Financial Engineering, 2018

    Stevens Institute of Technology

  • BS in Computer Science, 2016

    Shanghai Jiao Tong University

Recent News

  • [Award] 10/2026: Received the Outstanding Research Achievement Award from the School of Computing at Binghamton University (2025-26).
  • [Paper] 09/2026: Two papers were accepted by NeurIPS 2026.
  • [Paper] 08/2026: One paper was accepted by ICDM 2026. Congratulations to Yuhang and Xinbo!
  • [Award] 07/2026: Received the NSF Future CoRe grant on theoretically grounded spatial-temporal LLMs！Thanks NSF!
  • [Award] 07/2026: Received the NSF CAREER Award! Thanks NSF!
  • [Paper] 5/2026: Two papers were accepted by ICML 2026 and selected as Spotlights.
  • [Paper] 11/2025: One paper was accepted by KDD 2026. Congratulations to Yuhang!
  • [Paper] 08/2025: One paper was accepted by ICDM 2025. Congratulations to Yuhang!
  • [Award] 08/2025: Received the Educator of the Year Award from the School of Computing at Binghamton University (2024-25).
  • [TPC] 06/2025: PC for CIKM 2025.
  • [Paper] 05/2025: One paper was accepted by KDD 2025. Congratulations to Yuhang!
  • [TPC] 03/2025: PC for NeurIPS 2025.
  • [Paper] 11/2024: One paper was accepted by TKDD.
  • [TPC] 11/2024: PC for IJCAI 2025.
  • [Paper] 09/2024:One paper was accepted by NeurIPS 2024!
  • [Paper] 09/2024: One paper was accepted by ICDM 2024. Congratulations to Yuhang!
  • [TPC] 06/2024: PC for KDD 2025, AAAI 2025 and ICLR 2025.
  • [Paper] 05/2024: One paper was accepted by KDD 2024. Congratulations to Xinbo!
  • [TPC] 02/2024: PC for IJCAI 2024.
  • [TPC] 01/2024: PC for KDD 2024.
  • [TPC] 09/2023: PC for SDM 2024.
  • [TPC] 09/2023: PC for ICLR 2024.
  • [Student] 08/2023: Two Ph.D. students join the lab. Welcome, Xinbo and Yuhang!
  • [TPC] 08/2023: PC for AAAI 2024.
  • [TPC] 03/2023: PC for NeurIPS 2023.
  • [TPC] 01/2023: PC for KDD 2023 and IJCAI 2023.
  • [Paper] 12/2022: One paper was accepted by SDM 2023!
  • [Paper] 09/2022: Two papers were accepted by ICDM 2022!
  • [Position] 08/2022: Joined the Computer Science Department at Binghamton University as an Assistant Professor!
  • [TPC] 03/2022: PC for KDD 2022

Publications

Quickly discover relevant content by filtering publications.
Bijal Bharadva, Manuel Kelly, Yingxue Zhang, Xin Zhang (2026). CURe: Conservative Unlearning with Soft-Gating Regularization for Offline Reinforcement Learning. In proceedings of the 40th Annual Conference on Neural Information Processing Systems (NeurIPS 2026).

Manuel Kelly, Yingxue Zhang, Fangzhou Lin, Yanhua Li, Xin Zhang (2026). Unlearning Diffusion Policies via Relative Fisher Forgetting. In proceedings of the 40th Annual Conference on Neural Information Processing Systems (NeurIPS 2026).

Yuhang Liu, Xinbo Zhao, Xin Zhang, Lei Le, Zhaohan Xi, Yingxue Zhang (2026). TrajMind: A Unified Large Language Model for Multi-City Trajectory Prediction. In 26th IEEE International Conference on Data Mining (ICDM), 2026.

Xin Zhang, Jonathan Martinez, Yanhua Li, Yingxue Zhang (2026). Decision Transformers As Zero-Shot Learners via Text-Behavior Alignment. In proceedings of the 43rd International Conference on Machine Learning (ICML 2026, Spotlight paper).

Luoxi Tang, Yuqiao Meng, Joseph Costa, Yingxue Zhang, Muchao Ye, Zhaohan Xi (2026). The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization. In proceedings of the 43rd International Conference on Machine Learning (ICML 2026, Spotlight paper).

See all publications

Students

Current PhD Students

Xinbo Zhao

PhD Student, Computer Science, Binghamton University
M.S., Computer Science, Waseda University, 2023
B.S., Computer Science, SiChuan Univeristy, 2021

Yuhang Liu

PhD Student, Computer Science, Binghamton University
M.S., Computer Engineering, University of California, Riverside, 2022
B.S., Software Engineering, Wuhan University of Science and Technology, 2020

Teaching

  • INFO 501 Information Systems I-Python and Data Mining
  • DATA 500 Introduction to Data Analytics
  • INFO 535 Applied Data Mining
  • INFO 536 Applied Machine Learning
  • CS 435/535 Introduction to Data Mining

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