Research

Research Overview

My research interests are in Generative AI, Diffusion Models, Smart Cities, and Cyber-Physical Systems.

For publications, see Publications.

Invited Talk & Presentation

  • [2026/01] Presentation at M3S seminar, SMART, MIT on Generative AI for Urban Mobility: From Physical Trajectory Synthesis to Mental Agentic Simulation.
  • [2025/05] Presentation at SRB seminar, JTL Lab, MIT on Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion.
  • [2024/08] Oral Talk at KDD 2024 on Multi-task Conditional Recommendation for our accepted paper
  • [2024/05] Presentation at M3S, MIT on Multi-agent RL-based Decision-making for physical delivery systems.
  • [2023/08] Oral Talk at KDD 2023 on Data-driven equitable assignment optimization.
  • [2023/03] Presentation at CPS Lab, Mcgill University on Multi-agent Reinforcement Learning for physical on-demand delivery systems.
  • [2022/11] Oral Talk at IMWUT 2022 on Weak-supervised indoor positioning with unlabeled wifi for on-demand delivery.
  • [2021/11] Oral Talk at RTSS 2021 on reinforcement learning-based large-scale on-demand order dispatching for Outstanding Paper Award.

Students I work with

  • Donghang Li — Master student, MIT
  • Ray Lay — Undergraduate student, SUTD
  • Jiahao Shu — Undergraduate student, USTC
  • Yize Cai — Phd student, HKUST GZ
  • Lidan Cao — Phd student, HKUST GZ
  • Weibing Wang — Incoming MIT Master

Data-sets

Enlightening blogs