Lin Jiang

Ph.D. Candidate,
Department of Computer Science,
Data, Computing, and Society (DCS) Lab,
Florida State University

linjiang.jpg

lin.jiang@fsu.edu

I am a Ph.D. candidate in the Department of Computer Science at Florida State University and a member of the Data, Computing, and Society (DCS) Lab, under the supervision of Prof. Guang Wang. I received both my B.S. and M.S. degrees from Southeast University, China, where I worked with Prof. Shuai Wang.

My research interests lie in generative AI, diffusion models, and cyber-physical systems. Currently, I study diffusion-based time-series generation from multiple perspectives, including fidelity, diversity, efficiency, and scalability. Within this area, I am especially interested in extreme-aware generation. I have received the Graduate Student Research Award and the Ted and Syauchen Baker Scholarship from Florida State University, as well as travel grants to attend IJCAI, SDM, and KDD. I welcome conversations and collaborations, including directions beyond my present projects.

My publications are listed on the Publications page and on Google Scholar.

News

  • [2026/04] Our paper about Human Activity Trace Generation is accepted by ACM IMWUT/UbiComp 2026.
  • [2026/01] One co-first author paper about Human-robot Collaboration is accepted by ICRA 2026.
  • [2025/11] Our paper about Trajectory Generation with Diffusion Models is accepted by AAAI 2026.
  • [2025/11] I am very glad to serve on the Technical Program Committee for ACM SIGSPATIAL SpatialConnect 2025. It is an exciting and inspiring event!
  • [2025/08] Our paper about Uncertainty Quantification of GNNs is accepted by ACM SIGSPATIAL 2025 (full research paper track).
More news

selected publications

  1. IJCAI'25
    HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing
    Lin Jiang, Yu Yang, and Guang Wang
    In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2025
  2. IJCAI'25
    Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration
    Lin Jiang, Dahai Yu, Rongchao Xu, and 2 more authors
    In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2025
  3. KDD'23
    FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services
    Lin Jiang, Shuai Wang, Baoshen Guo, and 3 more authors
    In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
    DOI HTML
  4. ICRA'26
    UrbanHuRo: A Two-Layer Human-Robot Collaboration Framework for the Joint Optimization of Heterogeneous Urban Services
    Tonmoy Dey+, Lin Jiang+, Zheng Dong, and 1 more author
    In IEEE International Conference on Robotics and Automation (ICRA), 2026
    Co-first authors (equal contribution). A superscript + next to names indicates co-first authorship (equal contribution).
  5. IMWUT'26
    SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces
    Rongchao Xu, Lin Jiang, Dahai Yu, and 2 more authors
    In The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2026