About me

I am currently engaged as a Research Scientist at CSIRO Data61, where I explore a broad spectrum of topics such as cybersecurity, graph neural networks, spatio-temporal data mining, reinforcement learning, and the Internet of Things (IoT). Previously, I held a position as a Postdoctoral Researcher at UC Davis, under the mentorship of IEEE Fellow Junshan Zhang, following a similar stint at Arizona State University. A notable project of mine involves the development of a simulation platform designed to evaluate AI algorithms for autonomous vehicles in mixed-traffic scenarios. My research agenda primarily targets edge computing and reinforcement learning applications in autonomous vehicle systems, but it also spans across fairness in graph neural networks, wireless sensing technologies, smart city infrastructures, and the IoT.

Driven by the objective to tackle real-world challenges, I actively seek roles that bridge the gap between industrial application and academic inquiry. My past roles include serving as a Research Fellow at RMIT’s Centre for Information Discovery and Data Analytics (CIDDA), with an affiliation to the ARC Centre of Excellence in Automated Decision-Making and Society (ADMS).

I earned my Ph.D. from RMIT University, under the guidance of Professor Flora Salim and Dr. Chan, funded by a scholarship from the Sustainable Urban Precincts Program (SUPP) project. Additionally, I hold a Master of Science in Computer Science, awarded with distinction from the University of Hong Kong, where I also contributed as a Research Assistant to a project financed by the Innovation and Technology Fund (ITF).

News

  • 12/23: I was awarded a grant from the AWS and RMIT University, aiming to significantly advance cybersecurity in network infrastructures (Principal Investigator).
  • 9/23: Our paper is accepted by ICDM (Core A*, CCF B)
  • 6/23: Join in data61 CSIRO as a IWY (Impossible Without you) Research Scientist

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

Selected TPC Member:
KDD ‘24
ICML ‘24, 23
ICLR ‘24
NeurIPS ‘23, 22
WWW’ 24
IJCAI ‘24, 23, 19
AAAI ‘21, 20
CIKM ‘23, 22
WACV ‘23
SECON ‘23, 22, 21
SIGSPATIAL’ 23, 22
EAAI ‘23
CHI ‘19

Selected Journal Invited Reviwer:
IEEE Journal on Selected Areas in Communications (JSAC)
ACM Transactions on Spatial Algorithm and Systems (TSAS)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Human-Machine Systems (THMS)
IEEE Transactions on Communications (TOC)
IEEE Transactions on Intelligent Transportation Systems (TITS)
ACM Transactions on Intelligent Systems and Technology (TIST)
Nature Machine Intelligence
IEEE Internet of Things Journal (IoTJ)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp)

Guest Editor
Sensors, 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 – XAI and Spatio-temporal data mining