Simin Li
Scholar

Simin Li

Google Scholar ID: uo8l5ckAAAAJ
Beihang University
Reinforcement LearningMulti-Agent LearningAdversarial attackTrustworthy AI
Citations & Impact
All-time
Citations
212
 
H-index
9
 
i10-index
9
 
Publications
15
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications: June 2025, one first-authored paper accepted by Neural Networks; June 2025, one first-authored paper accepted by IEEE TNNLS; May 2025, one co-first-authored paper to be resubmitted to KDD; May 2024, five papers (two first-authored, one corresponding) submitted to NeurIPS 2025; June 2024, one first-authored paper submitted to IEEE TPAMI; February 2024, one co-authored paper accepted by IEEE RAL; January 2024, one first-authored paper accepted by ICLR 2024; January 2024, one co-authored paper accepted by AAAI 2024; November 2022, one first-authored paper accepted by CVPR 2023; July 2022, one first-authored paper accepted by IEEE TIP; April 2022, one co-authored paper accepted by CVPR 2022 workshop.
Research Experience
  • 2021.09-Present: Ph.D. student at Beihang University; 2023.03-Present: Joint supervision from Peking University; 2024.06 - 2025.05: Visiting scholar at Nanyang Technological University (NTU); 2025.07-2025.09: Honorary Research Assistant at The Chinese University of Hong Kong; 2025.10-: Postdoc at The Chinese University of Hong Kong, supervised by Prof. Qi Dou.
Education
  • 2021.09-Present: Ph.D. student at Beihang University, supervised by Prof. Xianglong Liu; 2023.03-Present: Joint supervision from Peking University, supervised by Prof. Yaodong Yang; 2024.06 - 2025.05: Visiting scholar at Nanyang Technological University (NTU), supervised by Prof. Bo An; 2020: BSc degree from Beihang University (Summa Cum Laude).
Background
  • Research Interests: Trustworthy AI, Multi-Agent Reinforcement Learning (MARL), Robustness Evaluation and Adversarial Defense. Field: Computer Science and Engineering. Brief Introduction: Pursuing a Ph.D. at the State Key Laboratory of Software Development Environment (SKLSDE) and School of Computer Science and Engineering (SCSE), Beihang University, with research focusing on robust multi-agent systems, AI alignment, and vision-language-action models.
Miscellany
  • Personal Interests: Research on single/multi-agent control and their robustness, AI alignment and deception. Open to cooperation: Welcoming collaborations, especially in the fields of single/multi-agent control and robustness, AI alignment and deception.
Co-authors
0 total
Co-authors: 0 (list not available)