About

Hi, I'm Bikang — a computer science Ph.D. student at ShanghaiTech University, supervised by Prof. Ye Shi (石野).

My research centers on Embodied AI — particularly world action models and reinforcement post-training for building agents that perceive, plan, and act in complex environments.

I'm broadly interested in policy learning, vision-language foundation models, and optimization. If any of this resonates, I'd love to hear from you — drop me an email to discuss or explore collaboration.

News

  • 2026.04
    Our paper on sample-efficient diffusion-based RL with critic guidance accepted to ICML 2026. ICML 2026
  • 2025.08
    Pivoted research focus to Embodied AI — Vision-Language-Action (VLA) models and reinforcement post-training.
  • 2025.03
    Our paper NLPrompt (noise-label prompt learning for vision-language models) accepted to CVPR 2025. CVPR 2025Highlight
  • 2024.09
    Our paper on federated learning from vision-language foundation models accepted to NeurIPS 2024. NeurIPS 2024
  • 2023.06
    Awarded "Shanghai Outstanding Graduate".

Selected Publications

AAAI 2023 2023
Certifiable Out-of-Distribution Generalization
Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu

Honors & Services

  • Honors & Awards
    Shanghai Outstanding Graduate (2023) · Outstanding Student Leader (2026) · Outstanding Student (2025) · SIST Excellent Teaching Assistant (2025) · MCM Outstanding Winner (2022) · Perfect GPA 4.0 (Fall 2021)
  • Conferences & Journals
    IJCV · ICCV 2025 · CVPR 2025 · NeurIPS 2024 & 2025 (Top Reviewer)

Education

  • ShanghaiTech University · China
    Ph.D. in Computer Science and Technology
    2023.08 — Present
  • ShanghaiTech University · China
    B.Eng. in Computer Science and Technology
    2019.08 — 2023.06

Teaching

Teaching Assistant at ShanghaiTech University (SIST).

  • SI251 Convex Optimization (凸优化)
    Fall 2024 · Fall 2025
  • SI152 Numerical Optimization (数值最优化)
    Spring 2023 · Spring 2024 · Spring 2025 · Spring 2026
  • EE140 Communication Principles (通信原理)
    Fall 2022
  • MATH1122 Linear Algebra II (线性代数II)
    Spring 2022