Scholar
Buqing Nie
Google Scholar ID: SqBTdgIAAAAJ
Shanghai Jiao Tong University
Citations & Impact
Citations
34
H-index
4
i10-index
1
Publications
14
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - ICLR 2025: Select before Act: Spatially Decoupled Action Repetition for Continuous Control
- - AAAI 2024: Improve robustness of reinforcement learning against observation perturbations via Lipschitz policy networks
- - Under Review: Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization
- - NeurIPS 2024: Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
- - RAL 2023: DAGA: Dynamics Aware Reinforcement Learning With Graph-Based Rapid Adaptation
- - Under Review: General Tree State Abstraction for Efficient Monte Carlo Tree Search with Automatic Optimization
- - Arxiv: Symmetry Equivariant Deep Reinforcement Learning Policy for Humanoid Robots
- - ICRA 2022: DanceHAT: Generate Stable Dances for Humanoid Robots with Adversarial Training
- - RAL 2024: Robust Locomotion Policy with Adaptive Lipschitz Constraint for Legged Robots
- - IROS 2025: Minimizing Acoustic Noise: Enhancing Quiet Locomotion for Quadruped Robots in Indoor Applications
- - Under Review: Disturbance-Aware Adaptive Compensation in Hybrid Force-Position Locomotion Policy for Legged Robots
- - Under Review: Learning Motion Skills with Adaptive Assistive Curriculum Force in Humanoid Robots
- - Under Review: Learning Robust Motion Skills via Critical Adversarial Attacks for Humanoid Robots
- - IJRA 2022: Capabi
Research Experience
- - Work Experience: Conducting research at the Shanghai Innovation Institute and MoE key lab of Artificial Intelligence
- - Research Projects: Reinforcement Learning algorithms, Embodied Artificial Intelligence
Education
- - Degree: PhD
- - University: Shanghai Jiao Tong University
- - Supervisor: Prof. Yue Gao
- - Graduation: Expected to graduate in March 2026
- - Major: Computer Science
- - Bachelor's Degree: IEEE honor class, Bachelor of Computer Science from SJTU
Background
- - Research Interests: Reinforcement Learning algorithms, Embodied Artificial Intelligence
- - Field: Computer Science
- - Bio: A PhD student in Computer Science at Shanghai Jiao Tong University, supervised by Prof. Yue Gao. Currently conducting research on Embodied AI at the Shanghai Innovation Institute and MoE key lab of Artificial Intelligence.
