Huang Changxin, PhD, Assistant Professor, Shenzhen University.
Email: huangchx@szu.edu.cn
Research Areas
1. Robot Behavior Learning: Deep Learning, Reinforcement Learning, and Their Applications in Robotics
2. Embodied Intelligence: Large Model-Guided Robot Decision-Making and Control
3. Robot Behavior Policy Transfer
His research focuses on autonomous decision-making, behavior learning, trajectory prediction, and robot policy transfer in mobile robots. He has published numerous papers as the first author in relevant journals and conferences, including top AI journals and conferences such as T-PAMI (impact factor 24.3), T-NNLS, AAAI, and ICRA. He serves as a reviewer for authoritative AI journals and conferences such as TPAMI, TNNLS, TCYB, THMS, and ICRA. He is a Shenzhen Pengcheng Peacock Talent (Category C). He received the Outstanding Paper Award from the Chinese Society of Aeronautics and Astronautics. Currently, he is leading one National Natural Science Foundation of China (NSFC) Youth Project, one Shenzhen Municipal Stable Support Project, and one Shenzhen University Young Faculty Research Start-up Project. He is also participating in one National Key R&D Program and one Shenzhen Municipal Science and Technology Major Project.
Past Experience
August 2023 - Present: Assistant Professor, Shenzhen University
Education Background
September 2018 - June 2023: Sun Yat-sen University, Computer Science and Technology, PhD
September 2015 - June 2018: Sichuan University, Information and Communication Engineering, Master
September 2011 - June 2015: South China University of Technology, Automation, Bachelor
Graduate Student Recruitment
Recruiting graduate students in Computer Science, Software Engineering, and Automation-related fields. We provide ample computing power and a rich library of robotic hardware platforms. Currently, our lab has humanoid robots (Universe G1), quadruped robots, robotic arms, and mobile dual-arm collaborative robots. Students interested in robotics are welcome to contact me.
Main requirements:
1. Good programming skills, with priority given to students with programming project experience
2. A pragmatic and hardworking research attitude
Guidance of graduate students
2023 class:
1. Chang Yanbin, published one paper at the top CCF-A AI conference AAAI-2025, and received the National Graduate Scholarship
2. Liang Junyang, published one paper at the top robotics conference ICRA-2025
2024 class:
1. Xu Jingzhao, submitted one paper to a journal in the first quartile of the Chinese Academy of Sciences
2. Liu Xiaoxian
3. Jiang Jie
Partial research achievements (* indicates corresponding author)
1. C Huang, G Wang, Z Zhou et al. Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 45(6): 7686 - 7695. (Chinese Academy of Sciences first quartile, the journal with the highest impact factor in the field of artificial intelligence, IF=24.3)
2. C Huang, Y Chang, J Lin, R Zeng, J Liang, J Li. Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution. AAAI Conference on Artificial Intelligence (AAAI), 2025. (Accepted, Oral, top conference in the field of artificial intelligence, CCF A)
3. C Huang, J Liang, Y Chang, J Xu, J Li. Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning. IEEE International Conference on Robotics and Automation (ICRA), 2025. (Accepted, top conference in the field of robotics, CSRankings)
4. C Huang, R Zhang, M Ouyang et al. Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(12): 5379-5391. (CAS Zone 1, Top-tier journal in the field of artificial intelligence (IF=14.3)
5. R Zeng, D Zhou, Q Liang, J Liu, H Li, C Huang*, J Li, X Hu, F Sun. Video2Reward: Generating Reward Function from Videos for Legged Robot Behavior Learning. European Conference on Artificial Intelligence, 2024. (CCF B)
Research Projects
National Natural Science Foundation of China (NSFC) Youth Project, 2025.01-2027.12, Ongoing, Principal Investigator
Shenzhen Municipal Stability Support Program Project, 2023.12-2025.12, Ongoing, Principal Investigator
Shenzhen University Young Faculty Research Start-up Fund, 2023.12-2026.7, Ongoing, Principal Investigator
Shenzhen Municipal Science and Technology Major Project, 2023.12-2026.12, Ongoing, Participant
Teaching
Graduate Courses: Advanced Algorithm Design and Analysis
Undergraduate Courses: Computer Operating Systems; Microprocessors and Robots
