About me

I am currently a CS PhD Student in AIRS Lab from Stony Brook University, advised by Prof. Yi Liu.

My research interests include probabilistic generative models, geometric learning, and multimodal/graph learning.

Summer 2026: I’m seeking an internship. Please feel free to send me the email for a chat.

Education

  • B.Eng. Internet of Things Engineering; Jiangsu University of Science and Technology, Aug. 2017 - Jun. 2021
  • M.Eng. Traffic Information Engineering and Control; Wuhan University of Technology, Aug. 2021 - Jun. 2024
  • Ph.D. Computer Science; Stony Brook University, Aug. 2024 - TBD

News

  • September 2025: IAGA is accepted by NeuRIPS 2025 SPIGM Workshop.
  • July 2025: Preprint IAGA, a method for efficient 3D molecular generation via shortening generation trajectories.
  • May 2025: Received IACS Young Writer’s Award, thank you IACS!
  • May 2025: One paper accepted by ACL 2025 on LLM for molecule editing, congrats to my cooperators!
  • May 2025: First author on a paper accepted by ICML 2025 on 3D GNN explanation (XAI)!
  • April 2025: Give a lightening talk in IACS research day. Thanks for the opportunity from IACS!

First or Co-first Author Publications

* indicates equal contributors.

Double domain guided real-time low-light image enhancement for ultra-high-definition transportation surveillance

Published in IEEE Transactions on Intelligent Transportation Systems, 2024

We firstly explicitly incorporate gradient-domain enhancement for low-light images

Recommended citation: Qu, J., Liu, R. W., Gao, Y., Guo, Y., Zhu, F., & Wang, F. Y. (2024). Double domain guided real-time low-light image enhancement for ultra-high-definition transportation surveillance. IEEE Transactions on Intelligent Transportation Systems, 25(8), 9550-9562.
Download Paper

First or Co-first Author Preprints

  • Shortening the Trajectories: Identity-Aware Gaussian Approximation for Efficient 3D Molecular Generation. Arxiv.