Portrait of Hao Xue

Hao Xue

Assistant Professor, The Hong Kong University of Science and Technology (Guangzhou), China
Urban Governance and Design Thrust, with a joint appointment in the AI Thrust
Senior Visiting Fellow, University of New South Wales, Australia

Hi! I am an Assistant Professor at The Hong Kong University of Science and Technology (Guangzhou), based in the Urban Governance and Design (UGOD) Thrust of the Society Hub, with a joint appointment in the AI Thrust of the Information Hub. I am also an Affiliated Assistant Professor at The Hong Kong University of Science and Technology, and a co-founder of Data Cruiser, a Sydney-based spin-out built on our research.

Before joining HKUST(GZ) in February 2026, I was a Lecturer in the School of Computer Science and Engineering at the University of New South Wales (UNSW Sydney), Australia, and before that a Research Fellow at UNSW Sydney and RMIT University. I am an Associate Investigator of the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) and co-lead its GenAISim signature project.

My research sits at the intersection of AI and ubiquitous, urban systems: spatiotemporal data representation and reasoning, foundation models for multimodal and dynamic environments, large language models for time series and sensor data, and open-world learning and reasoning. Applications include transportation and human mobility, energy and buildings, public health, and wearable and IoT sensing.

I obtained my PhD in Computer Science from The University of Western Australia in 2020. Before that, I obtained my bachelor's and master's degrees from Harbin Institute of Technology in 2014 and 2016.

News

  • 10/2026: I joined the Youth Editorial Board of AI Plus, a new partner journal of The Innovation.
  • 10/2026: I am serving as Area Chair for The Web Conference 2027.
  • 09/2026: I am serving as Area Chair for ICLR 2027.
  • 09/2026: 4 papers have been accepted to NeurIPS 2026.
  • 09/2026: 1 paper has been accepted to ICDE 2027.
  • 08/2026: I served as Executive Chair of the 4th International Conference on Urban Science and Intelligence in Guangzhou.
  • 08/2026: 2 papers have been accepted to EMNLP 2026 (main conference and Findings).
  • 08/2026: 1 paper has been accepted to CIKM 2026.
  • 08/2026: 7 papers have been accepted to ACM SIGSPATIAL 2026.
  • 07/2026: Our US patent “Methods, systems, devices and neural networks for forecasting a time series” has been granted (US 12,688,375 B2).
  • 05/2026: 2 papers have been accepted to KDD 2026, including 1 in the AI for Sciences Track.
  • 04/2026: 1 paper has been accepted to ICML 2026.
  • 04/2026: 3 papers have been accepted to ACL 2026.
  • 02/2026: I joined HKUST(GZ) as an Assistant Professor.
  • 01/2026: 3 papers have been accepted to The Web Conference 2026.
  • 11/2025: Our paper “XXLTraffic: Expanding and Extremely Long Traffic Forecasting beyond Test Adaptation” received the Best Paper Award at ACM SIGSPATIAL 2025. Congrats to all!
  • 11/2025: We organised the 3rd ACM SIGSPATIAL International Workshop on Advances in Urban-AI (UrbanAI) in Minneapolis.
  • 10/2025: We organised the UbiSense workshop on Emerging Techniques in Ubiquitous Sensing and Interaction at UbiComp 2025 in Espoo, Finland.
  • 02/2025: I am invited to visit Osaka University.
  • 02/2025: I am invited to participate in Shonan Meeting 210 on Advancing Mobility Data Science and Mobility AI.
  • 01/2025: I serve as the tutorial co-chair of SSTD 2025.
  • 01/2025: 1 demo paper has been accepted to The Web Conference 2025. See you in Sydney!
  • 11/2024: I visited the Artificial Intelligence and Machine Learning Lab @ TU Darmstadt led by Prof. Dr. Kristian Kersting.
  • 10/2024: We organised the 2024 ADM+S Symposium (15–17 Oct) at UNSW Sydney, themed on automated mobilities.
  • 10/2024: I was in Melbourne (4–8 Oct) attending UbiComp/ISWC 2024.
  • 09/2024: 2 papers have been accepted to the NeurIPS 2024 Datasets and Benchmarks Track. See you in Vancouver!
  • 08/2024: 3 papers have been accepted to ACM SIGSPATIAL 2024. See you in Atlanta!
  • 06/2024: Our ADM+S project GenAISim: Simulation in the Loop for Multi-Stakeholder Interactions with Generative Agents has started!
  • 05/2024: Co-organised an online study/reading group on Foundation Models for Spatio-temporal and Time-Series Data @ Swarma (集智俱乐部).

Opportunities

I am looking for PhD and MPhil students, research assistants and research interns to join my group at HKUST(GZ). If you would like to work on spatiotemporal data, time series, LLMs and urban AI, please email me with your CV.