Hi there Welcome to my Homepage!

I am an undergraduate (2022-2026) at Xidian University, focusing on Vision-Language-Action. I work at MVIG@SJTU with Prof. Lixin Yang and Prof. Cewu Lu.

News

  • MBA is accepted in IEEE RA-L 2025 🔥
  • Unlesh the potential of Autoregressive model in imitation learning: Dense Policy is on preprint!
  • Our work Advdisplay was accepted at AAAI 2025 🔥
  • In charge of Microsoft Club. Feel free to reach out if you’d like to join.

Research Experience

Shanghai Jiao Tong University
July 2024 - Now
Research intern at MVIG Lab
Xidian University
September 2023 - July 2024
Research intern 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]


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

U_pre
U-pre: U-Net is an excellent learner for time series forecasting
Time series forecasting is suited for U-Net's architecture due to its consistent input-output distributions and strong mathematical alignment. Combining U-Net with Bert-Encoder improved performance by incorporating both local and global attention.
[code] [report-cn]


M_pre
M-pre: Mamba for time series forecasting
We tried Mamba for time series forecasting based on feature-conditioned tokens, which outpreformed transformer-based U-pre.
[code] [report-cn]
crosstalk
AgentCrossTalk: Performe a Crsosstalk between two LLM agents
This project uses the Google Gemini to create a simple chatbot application simulating two crosstalk performers performing based on user-provided topics.
[code] [website]


FGSM3D
FGSM3D: Is the point cloud gradient perturbation attack feasible?
We tried to extend FGSM to the 3D field and achieved significant success within a certain gradient range, but the sampling method of 3D models tells us that things seem to be not that simple...
[code] [report-cn]


acoflow
AcoFlow: Heuristic Search for Maximum Flow Problem
The problem of finding the maximum flow lies in how to design better heuristic information to find the augmenting path. We boldly challenge this problem through the ant colony algorithm.
[code] [report-cn]