Dr. Shang Wanfeng is currently a professor at the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University. His research focuses on artificial intelligence, robotics, and large-scale models. He also serves as a council member of the Chinese Society for Automatic Testing Technology, a standing council member of the Micro-Nano Robotics Branch of the Chinese Society for Micro-Nano Technology, and served as co-program chair for the 2018 IEEE RCAR conference, general co-chair for the 2019 IEEE ISR conference, and regional program chair for the 2021 IEEE RCAR conference. He has published over 60 SCI/EI indexed papers (1095 citations according to Google Scholar), including 3 ESI highly cited papers and 19 IEEE conference papers, in top journals in robotics and image processing such as Science Robotics and IEEE Transactions on Robotics and the International Journal of Computer Vision. He has applied for over 30 patents.
He has led several national and provincial-level projects, including the National Natural Science Foundation of China (NSFC) Mainland-Hong Kong Joint Project and General Project. He has established in-depth collaborations with the Hong Kong University of Science and Technology, Huawei's Machine Vision Business Unit, and Eagle Precision. He guided students to win the first prize in the national selection competition for the "China Robot Competition and RoboCup Open Coal Mine Handling Robot"; won the first prize in the first "National Robot Creative Design Competition"; won the first prize of the Provincial Higher Education Science and Technology Award; and was named a Shenzhen Overseas High-level Peacock Talent. His major achievements have been recognized and highly praised by international peers, and the technology transfer has been applied in multiple companies, generating good economic benefits. His team's achievements were featured on CCTV-10's "Fashion Technology Show" in 2022.
Research Directions:
Artificial Intelligence, Brain-like Computing, Tactile Perception, Dexterous Hand Manipulation, Multimodal Large Model
Major Projects:
[1] Shenzhen Basic Research Key Project, 2025.01-2027.12, RMB 2 million, ongoing.
[2] National Natural Science Foundation of China – Hong Kong Research Grants Council Joint Research Grant, 2024.01-2027.12, RMB 1 million, ongoing. [3] National Natural Science Foundation of China, General Program, January 2023 - December 2026, RMB 540,000, ongoing.
[4] National Natural Science Foundation of China, General Program, January 2021 - December 2024, RMB 580,000, completed. Main papers:
[1] Liu, X., Yi, Z., Wu,
[2] Chen J, Shang W, Xu S. Endoir: A GAN-based method for fiber bundle endoscope image restoration. Optics and Lasers in Engineering, 2025, 184: 108588.
[3] Zhang Q., Chen L., Shang W., Cross Dense Feature Learning with Task Guidance for Few-Shot Classification. IEEE Transactions on Circuits and Systems for Video Technology, 2025, 35(4): 3438 - 3449.
[4] Yi Z., Shang W., Wang D., Yin M., Chen C., Feng W., Wu X. Large-margin Extreme Learning Machines with Hybrid Features for Wafer Map Defect Recognition, IEEE Transactions on Instrumentation and Measurement, 2024, 73: 2518710.
[5] Yang, L., Zhang, T., Huang, H., Ren, H., Shang, W., Shen, Y., “An on-wall-rotating Strategy for Effective Upstream Motion of Untethered Millirobot: Principle, Design and Demonstration”, IEEE Transactions on Robotics, 2023, 39(3): 2419-2428.
[6] Shang, W., Ren, H., Yi, Z., Xu, T., Wu, X., “High precision PCB Soldering with Pin Springback Compensation by Robotic Micromanipulation”, IEEE/ASME Transactions on Mechatronics, 2022, 28(1): 326-339.
[7] Yang, X., Shang, W., Lu, H., Liu, Y., Yang, L., Tan, R., Wu, X., Shen, Y., “An agglutinate magnetic spray transforms inanimate objects into millirobots for biomedical applications”, Science Robotics, 2020, 5(48): eabc8191.
Graduated students:
Ren Hao, Master's student, 085208-Electronic and Communication Engineering, Outstanding Graduate of the City, currently pursuing a PhD at the Hong Kong University of Science and Technology
Jia Weichao, Visiting Graduate Student, 085210-Control Engineering, working for the State Grid
Liu Xiaofei, Master's student, 085404-Computer Technology, Outstanding Graduate of the University, working for Kuaishou
Li Yulu, Master's student, 085404-Computer Technology, pursuing a PhD at Xi'an Jiaotong University
Huang Wenqiang, Master's student 085404 - Computer Technology, ZTE Microelectronics
Current Students:
Chen Jieling, 2022 Master's Student, 085404 - Computer Technology
Zheng Lijin, 2022 Master's Student, 085404 - Computer Technology
Zhang Qi, 2022 PhD Student, 081104 - Pattern Recognition and Intelligent Systems (Joint Program with University of Macau)
Tang Siwen, 2024 Master's Student, 085404 - Computer Technology
Li Shishu, 2024 Master's Student, 085404 - Computer Technology
Cai Zhiqi, 2025 PhD Student, 140500 - Intelligent Science and Technology
🏅🏅🏅If you consider yourself a hardworking, dedicated, and academically driven master's or doctoral student with a passion for AI technology, and you aspire to grow in a harmonious yet challenging team, we welcome you. Outstanding performers will have the opportunity to be recommended for further studies and collaboration at the Hong Kong University of Science and Technology.
🎈🎈🎈Your ticket to the stars has been generated. Are you ready to be among the first engineers to build a "Westworld" in the real world?
