Qijin She
Introduction
My research interests are in Embodied AI, computer graphics and reinforcement learning, with a focus on robotic manipulation.
Education
Hong Kong University of Science and Technology 2024.9 - 2028.6(expected)
HongKong SAR, China
- PhD Student in Electronic and Computer Engineering
- Supervised by Prof. Ping Tan
National University of Defense Technology 2019.9 - 2022.6
Changsha, Hunan, China
- Master of Science (M.Sc.) in Computer Science and Technology
- Supervised by Prof. Kai Xu
- Master Thesis: Real-time Reaching-and-Grasping with Dynamic Interaction Geometry Representation
Shandong University 2015.9 - 2019.6
Jinan, Shandong, China
- Bachelor of Engineering (B.Eng.) in Software Engineering
- GPA: 89.4/100; Ranking 8/292
Publications
LLM-enhanced Scene Graph Learning for Household Rearrangement
Wenhao Li*, Zhiyuan Yu*, Qijin She*, Zhinan Yu, Yuqing Lan, Chenyang Zhu, Ruizhen Hu, Kai Xu. SIGGRAPH Asia 2024 Conference Papers
Learning Cross-Hand Policies of High-DOF Reaching and Grasping
Qijin She, Shishun Zhang, Yunfan Ye, Ruizhen Hu, Kai Xu. ECCV 2024
Learning Dual-arm Object Rearrangement for Cartesian Robots
Shishun Zhang, Qijin She, Wenhao Li, Chenyang Zhu, Yongjun Wang, Ruizhen Hu, Kai Xu. ICRA 2024
Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction
Qijin She*, Ruizhen Hu*, Juzhan Xu, Min Liu, Kai Xu, Hui Huang. ACM Transactions on Graphics (SIGGRAPH’22)
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
Hang Zhao*, Qijin She*, Chenyang Zhu, Ying Yang, Kai Xu. AAAI 2021
Honors & Scholarships
Excellent Master’s Thesis of Hunan Province 2024
The Best Poster Award at CCF CAD&CG 2022 (top 10 popular poster) 2022
Outstanding Postgraduate Scholarship (for excellent academic performance) 2020
Linglong Scholarship (top 2.5% in the School of Software) 2016,2018
First Prize Scholarship (top 10% in the School of Software) 2016,2018
Teaching
Teaching Assistant, Intelligent Robots and Embodied AI HKUST, Spring 2025
Teaching Assistant, Data Structure and Algorithm NUDT, Fall 2020
Teaching Assistant, Seminar on Research Methods and Academic Writing in Computational Science NUDT, Spring 2020
Services
Journal Reviewer: CVMJ 2022
Skills
Programming: Python, Latex, C++, C, ROS1, Shell, Java
Tools: Blender, Pybullet, Meshlab, Scrapy, Photoshop
Courses
Math Courses: Calculus, Discrete Mathematics, Linear Algebra, Numerical Computing, Probability and Statistics, Statistical Decision Theory and Bayesian Analysis, Stochastic Process
Professional Courses: Advanced Computer Architecture, Artificial Intelligence, Augmented Reality and Human-Computer Interaction, Computer Graphics, Computational Geometry, Computer Network, Computer Vision, Data Structure and Algorithms, Database System, Data Mining, Game Theory (MOOC), Machine Learning, Operating System, Pattern Recognition, Parallel Computing, Reinforcement Learning, Software Engineering, Software Testing, Web Data Management