About Me

I am a Ph.D. student in the School of Engineering at the Hong Kong University of Science and Technology, advised by Prof. Yi Chen and Prof. Xiu Su. My research interests lie in agents, large language models, and flow matching, with a particular focus on their applications in healthcare.

Education

The Hong Kong University of Science and Technology (HKUST)

Ph.D. Student, School of Engineering

2026.01 - Present

Publications

* Co-first Author    † Leading Project    ‡ Corresponding Author

  1. Tools as Continuous Flow for Evolving Agentic Reasoning
    Tairan Huang, Siyu Shang, Qiang Chen*†, Xiu Su, Yi Chen
    NeurIPS, 2026
  2. XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment
    ScaleInfra@IROS2026, Oral
  3. GeoClean: Training-Free Concept Erasure in Rectified Flow via Posterior-Competition Stabilization
    Siyu Shang, Qiang Chen*, Zhongze Wu, Hongyan Xu, Yichao Cao, Yi Chen, Jun Long, Xiu Su
    ACM MM, 2026
  4. ROVER: Robust Generative Continual Identity Unlearning against Relearning Attacks
    Tairan Huang, Qiang Chen*, Beibei Hu, Yunlong Zhao, Hongyan Xu, Zhiyuan Chen, Yi Chen, Xiu Su
    AAAI, 2026
  5. Graph Unlearning Meets Influence-aware Negative Preference Optimization
    Qiang Chen, Zhongze Wu, Ang He, Xi Lin, Shuo Jiang, Shan You, Chang Xu, Yi Chen, Xiu Su
    ACM MM, 2025
  6. Stable Fair Graph Representation Learning with Lipschitz Constraint
    Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu
    ICML, 2025
  7. Dual Attention Based Uncertainty-aware Mean Teacher Model for Semi-supervised Cardiac Image Segmentation
    An Xu, Shaoyu Wang, Jingyi Fan, Xiujin Shi, Qiang Chen
    PIC, 2021
  8. Brain Tumor Segmentation for Missing Modalities by Supplementing Missing Features
    Yian Zhu, Shaoyu Wang, Runlong Lin, Yun Hu, Qiang Chen
    ICCCBDA, 2021
  9. Edge-aware Fully Convolutional Network with CRF-RNN Layer for Hippocampus Segmentation
    Shaoyu Wang, Lirong Yi, Qiang Chen, Zhixiang Meng, Hongliang Dong, Zhi He
    ITAIC, 2019