Hi there Welcome to my Homepage!

I am an undergraduate (2022-2026) at Xidian University, focusing on Computer Vision and Robot Learning.

I work at MMLab@HKU with Prof. Xihui Liu. Previously I worked at MVIG@SJTU with Prof. Lixin Yang and Prof. Cewu Lu.

Currently I conduct the VLA research at ByteDance Seed.

News

  • Dense Policy is accepted in ICCV 2025 🔥
  • MBA is accepted in IEEE RA-L 2025 🔥
  • Our work Advdisplay was accepted at AAAI 2025 🔥
  • In charge of Microsoft Club. Feel free to reach out if you’d like to join.

Experience

ByteDance Seed
Oct 2025 - Now
MLE Intern at Seed-Robotics
The University of Hong Kong
June 2025 - Now
Research Intern at MMLab@HKU
Astribot Inc.
June 2025 - Sep 2025
MLE Intern advised by Jianan Wang
Shanghai Jiao Tong University
July 2024 - June 2025
Research Intern at MVIG Lab
Xidian University
Sep 2022 - July 2026
Rank 4/174, National Scholarship
B.E at SAI & RA at OMEGA Lab

Publications

RIaa
Generative Adversarial Patches for Physical Attacks on Cross-Modal Pedestrian Re-Identification
Yue Su, Hao Li†, Maoguo Gong
A generative physical adversarial attack on VI-ReID models perturbs modality-invariant features.
ArXiv Preprint   [arxiv]
Raa
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
Hao Li†, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang, Maoguo Gong
Historically, infrared adversarial attacks were single-use and tough to deploy. Using TEC, we implemented efficient attacks adaptable to hardware scenarios.
AAAI 2025   [paper]

Projects

Awards

  • Xiaomi Outstanding Scholarship 2025
  • National Scholarship 2025
  • Outstanding Student, Xidian University, 2025

Talks