Dr. Wei Shao is currently a Postdoctoral Researcher at UC Davis, where he is working under the guidance of Professor Junshan Zhang. Prior to this role, he worked at Arizona State University, where he was also supervised by Professor Zhang. His current research focuses on developing a reinforcement learning-based simulation platform to investigate artificial intelligence algorithms in mix-road autonomy cars, with a specific focus on edge computing and reinforcement learning with autonomous vehicles. Dr. Shao’s research interests include fairness issues in graph neural networks, wireless sensing, the Internet of Things, and smart cities. He is passionate about addressing real-world problems through innovative research results and enjoys solving problems that have both industrial and research value.

Previously, Dr. Shao worked as a Research Fellow at the Centre for Information Discovery and Data Analytics (CIDDA) at RMIT, Australia, and was also associated with the ARC Centre of Excellence in Automated Decision Making and Society (ADMS).

Dr. Shao obtained his Ph.D. from RMIT, where he was supervised by Professor Salim and Dr. Chan and was awarded a scholarship from the Sustainable Urban Precincts Program (SUPP) project. He also served as a Research Assistant in the Computer Science Department at the University of Hong Kong, where he carried out an Innovation and Technology Fund (ITF) project. Dr. Shao received a Master of Science in Computer Science from the University of Hong Kong, where he graduated with distinction.

Selected papers

1. Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, and Flora Salim. Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Attention. In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022 [PDF] Code
2. Wei Shao, Sichen Zhao, Zhen Zhang, Shiyu Wang, Mohammad Saiedur Rahaman, Andy Song, Flora D. Salim: FADACS: A Few-Shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing. PerCom 2021: 1-10 [PDF] Code
3. Wei Shao, Flora D. Salim, Tao Gu, Ngoc-Thanh Dinh, Jeffrey Chan: Traveling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data. IEEE Internet Things J. 5(2): 802-810 (2018) [PDF] Code
4. Wei Shao, Flora D. Salim, Jeffrey Chan, Kyle Kai Qin, Jiaman Ma, Bradley Feest: OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness. PerCom 2019: 192-201 [PDF]
5. Wei Shao, Thuong Nguyen, A. Kai Qin, Moustafa Youssef, Flora D. Salim: BLEDoorGuard: A Device-Free Person Identification Framework Using Bluetooth Signals for Door Access. IEEE Internet Things J. 5(6): 5227-5239 (2018) [PDF]

Academic Services

TPC Member: NeurIPS 2023, SECON2023, IJCAI2023, WACV2023, Neurips2022， SECON2022, CIKM2022, SECON 2021, CIKM2021, AAAI2021, AAAI2020, AusDM2018, ICAC2018, ICCCN2019, WISC2019, ITEM2020

Journal Invited Reviwer Scientific Reports, IEEE Journal on Selected Areas in Communications, ACM Transactions on Spatial Algorithm and Systems, IEEE Transactions on Human-Machine Systems, IEEE Transactions on Communications, IEEE Transactions on ITS, Nature Machine Intelligence, IEEE Internet of Things Journal, CHI2019, PMC, FCS, IJCAI2019, ISWC2019, UbiComp2019, TNNLS, BuildSys2019, TKDE, IEEE Access, ACM Transactions on Intelligent Systems and Technology

Guest Editor Electronics, Frontier in Sustainable Cities

Official Supervised Students

• Nan Gao, PhD – Ubiquitous Computing and HCI, Postdoc Researcher, Tsinghua University
• Arian Prabowo, PhD – Spatio-Temporal Deep Learning of Trajectories
• Kai Qin, PhD – Graph Alignment and Optimization, Principal Researcher, China Southern Power Grid
• Sichen Zhao – PhD Student – XAI and Spatio-temporal data mining