Short Bio: Tao Tang is a Postdoc Research Fellow at the Zhejiang University of Technology and was a Research Associate at the University of South Australia. He completed his PhD in Information Technology as a Henry Sutton Scholar at the Institute of Innovation, Science, and Sustainability, Federation University Australia, in October 2024. He holds a Bachelor’s degree from Chengdu College, University of Electronic Science and Technology of China, where he graduated in July 2019 with the Dean’s Award. Dr. Tang has (co-)authored over 30 papers in prestigious international journals and conferences, including IEEE TNNLS, TFS, IoTJ, TETC, TKDE, TWEB, TNSE, ACM TOIT, WWW, and WSDM. He served on the Program Committee for the IJCAI-ECAI, WWW, ECAI, ICDM Workshop and received the Best Paper Award at the 7th IEEE International Conference on Data Science and Systems in December 2021. As an active member of the research community, Dr. Tang is a member of IEEE, and regularly contributes as an invited reviewer for journals such as IEEE IS, TAI, TNNLS, TCE, TCSS, TII, IoTJ, ACM CSUR, as well as conferences like IEEE ICDM and ACM MM. His research interests include data science, graph learning, digital health, and responsible recommender systems.