Jin Zhang, PhD, Assistant Professor and Master's Supervisor at Shenzhen University.
Email: jin.zhang@szu.edu.cn
Previously worked at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, as a postdoctoral researcher and assistant researcher. Previously worked at a smart building company in Sydney, Australia, managing an outsourced software team. Researched at the School of Computing, University of New South Wales, and the Commonwealth Scientific Research Service (CSI), Australia, where he earned his PhD in Computer Science. His research focuses on the Internet of Things (IoT), artificial intelligence (AI), and robotics, including WiFi human perception, robot perception and control, and domain-adaptive AI technologies. He has published 37 papers, including several high-level papers in CAS Q1 and CCF-A journals, with 820 citations on Google Scholar, including in journals such as IMWUT/Ubicomp, CVPR, ECCV, and ICRA. His work on WiFi human identification has been featured in ABC News and The Atlantic.
During his doctoral studies, he served as the president of the Chinese Students and Scholars Association of New South Wales, Australia, which is affiliated with the Chinese Consulate General in Sydney, Australia. He attended the 26th National Congress of the All-China Students' Federation held at the Great Hall of the People as one of the nine overseas representatives of Australian students. He also co-organized cultural and talent forums in Sydney with the Sydney Consulate General, China Southern Airlines, and local government, universities, and research institutes in China. He is a member of the Youth Committee of the Australian Council for the Promotion of Peaceful Reunification of China. He is a director of the Guangdong Provincial Association of Returned Overseas Students. He was named one of the 100 Outstanding Young Returnees in China by Forbes in 2024. He won the first prize of the Science and Technology Award of the Guangdong Provincial Artificial Intelligence Industry Association in 2023. He was named a Shenzhen Overseas High-Level Talent in 2019. Projects undertaken: [1] National Natural Science Foundation of China Youth Project, Research on Key Technologies of Non-Contact Human Identity Recognition System Based on Deep Learning Domain Adaptation, 2021-2024, Principal Investigator, RMB 300,000. [2] National Key R&D Program Sub-project, Natural Interaction and Collaborative Integration of Robots in Dynamic Unstructured Environments, November 2023 - October 31, 2026, Principal Investigator, RMB 300,000.
[3] Open Fund of Key Laboratory of Ministry of Education, Research on Key Technologies of Robot Perception and Control Based on Virtual-Real Transfer, January 2023 - December 2024, Principal Investigator.
Research Project:
Digital Twin Elevator Robot, January 2022 - January 2023
Innovative generative AI technologies were proposed, including generative adversarial networks, reinforcement learning, and meta-learning, to achieve virtual and real elevator button recognition and adaptive control of the robotic arm. This robot is a product provided to a unicorn company that makes hotel delivery carts. Application scenarios also include industrial monitoring robots and consumer service robots.
Multimodal Human Motion Perception, 2018 - Present
Using sensors such as WiFi, LiDAR, and visual cameras to recognize human movements, gait, and expressions, it is applied to ubiquitous computing, human-computer interaction, and robot interaction. Multimodal Robot Dog, 2024-Present
Utilizing depth cameras and LiDAR to achieve scene perception and understanding for the robot dog, a large visual model is used for task planning, and digital twin technology is used to train the robot dog's reinforcement learning motion control model. Applications include security inspection and human-computer interaction.
Small Target and Fast Object Detection, 2024-Present
Employing high-speed cameras, LiDAR, and other multimodal sensors to identify and track small targets and fast-moving objects, such as detecting surface defects on static objects and high-speed moving objects. Applications include industrial defect detection, tennis or badminton shuttlecock landing point detection, and intelligent refereeing.
Openings: Recruiting Master's students for the 2025 cohort. Students interested in the above areas are welcome to contact me!
Undergraduate students interested in related technologies are welcome to contact me.
Industry professionals are welcome to discuss this topic.
Representative papers:
[1]Jin Zhang, Dai Yuyan, Chen Jie, Chengwen Luo, Bo Wei, Victor C. M. Leung, Jianqiang Li, "SIDA: Self-Supervised Imbalanced Domain Adaptation for Sound Enhancement and Cross-Domain WiFi Sensing", The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT, UbiComp), 2023 (CCF-A)
[2]Jin Zhang, Zhuangzhuang Chen, Chengwen Luo, Bo Wei, Salil S. Kanhere, Jianqiang Li, "MetaGanFi: Cross-Domain Unseen Individual Identification Using WiFi Signals", The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT, Ubicomp), 2022 (CCF-A)
[3] Luo, Chengwen, Jiongzhang Chen, Xingyu Feng, Jin Zhang, and Jianqiang Li. "BSL: Sustainable Collaborative Inference in Intelligent Transportation Systems." IEEE Transactions on Intelligent Transportation Systems 2023 (IF: 8.5, CAS Zone 1, corresponding author)
[4] Jin Zhang, Fuxiang Wu, Bo Wei, Qieshi Zhang, Hui Huang, Syed W. Shah, and Jun Cheng “Data Augmentation and Dense-LSTM for Human Activity Recognition using WiFi Signal” IEEE Internet Of Things Journal, 2020 (IF: 10.6, CAS Zone 1, citation count 131)
[5] Jin Zhang, Bo Wei, Wen Hu, Salil S. Kanhere, "WiFi-ID: Human Identification using WiFi signal", IEEE International Conference Distributed Computing in Sensor Systems (DCOSS), 2016. (citation count 302)
