Hao Xue
Lecturer
School of Computer Science and Engineering, University of New South Wales
Office: K17, UNSW Sydney, Australia
Hi! I am a Lecturer at the School of Computer Science and Engineering at University of New South Wales (UNSW Sydney), Australia. I obtained my PhD from The University of Western Australia in 2020. After completing my doctorate, I worked as a Research Fellow at the School of Computing Technologies at RMIT University and UNSW Sydney. I am an Associate Investigator at the UNSW node of the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S My research is at the intersection of AI and smart city domains (such as intelligent transportation, energy, weather etc.), with a focus on spatiotemporal data modelling, time series forecasting, language generation based forecasting, and data-efficient time series representation learning. I am also interested in AI applications for wearable and IoT sensors.
I am open to research discussion and collaboration, please feel free to get in touch!
News
- 02/2025: I am invited to visit Osaka University.
- 02/2025: I am invited to participate Shonan Meeting on Advancing Mobility Data Science and Mobility AI.
- 01/2025: I serve as the tutorial co-chair of SSTD2025. Call for Tutorial Proposals is now open!
- 01/2025: 1 Demo paper havs been accepted to The Web Conference 2025. See you at Sydney!
- 11/2024: I visited Artificial Intelligence and Machine Learning Lab @ TU Darmstadt led by Prof. Dr. Kristian Kersting.
- 10/2024: We organised 2024 ADM+S SYMPOSIUM (15th Oct - 17th Oct) at UNSW Sydney. The theme of this year symposium is: automated mobilities.
- 10/2024: I was in Melbourne (4th Oct - 8th Oct) attending UbiComp/ISWC 2024.
- 09/2024: 2 papers have been accepted to NeurIPS 2024 Dataset and Benchmark. See you at Vancouver!
- 08/2024: 3 papers have been accepted to SIGSPTIAL 2024. See you at Atlanta!
- 06/2024: Our ADM+S Project GenAISim: Simulation in the Loop for Multi-Stakeholder Interactions with Generative Agents has started!
- 05/2024: Co-organise online study/reading group with a focus of Foundation Models for Spatio-temporal and Time-Series Data @ Swarma Platform(集智俱乐部)