Talks

The invited talks during the past three years.

  • Leveraging Large Language Models for Spatio-Temporal Data Mining, Huawei-HKUST(GZ) LLM Workshop, Guangzhou, China, January 2024

  • When AI meets Spatio-Temporal Data: Concepts, Methodologies, and Applications, ASU, Online, January 2024

  • 当人工智能遇到时空数据：概念、方法和应用, IDEAL, Sanya, China, December 2024

  • When AI meets Spatio-Temporal Data: Concepts, Methodologies, and Applications, THU & BJTU & BIT, Beijing, China, December 2023

  • When AI meets Spatio-Temporal Data: Concepts, Methodologies, and Applications, Keynote Speech@ICDM, AI4TS Workshop, Shanghai, China, December 2023

  • When AI meets Ubiquitous Spatio-Temporal Data: Concepts, Methodologies, and Applications, HHME Conference, Harbin, China, August 2023

  • 时空人工智能和城市大模型, Guangzhou Jiadu Electronic Technology, Guangzhou, China, August 2023

  • When AI meets Spatio-Temporal Data: Concepts, Methodologies, and Applications, Chongqing University, Online, May 2023

  • When AI meets Spatio-Temporal Data: Concepts, Methodologies, and Applications, Dongguk University, Online, Apr 2023

  • When AI meets Spatio-Temporal Data: Concepts, Methodologies, and Applications, City University of Hong Kong, Online, Feb 2023

  • AirFormer: Predicting Nationwide Air Quality in China with Transformers, AAAI, Washington, D.C., Feb 2023

  • When AI meets Spatio-Temporal Data: Concepts, Methodologies, and Applications, HKUST & HKUST-GZ, Online, Feb 2023

  • 当人工智能遇到时空数据：概念、方法和应用, AI TIME, Online, Feb 2023

  • Learning Human Mobility with Deep Spatio-Temporal Neural Networks (PhD Oral Defense), NUS, Singapore, Jan 2023.

  • 时空图对比学习, Sichuan University, Online, Jan 2023

  • Local-global stratified transformer for efficient video recognition, ECCV, Tel Aviv, Oct 2022.

  • Efficient Trajectory Classification with Transformers, CIKM, Atlanta, Oct 2022.

  • When Artificial Intelligence Meets Urban Computing: Recent Advances, MIT Senseable City Lab, Sep 2022.

  • Learning Human Mobility with Deep Spatio-Temporal Neural Networks (PhD Thesis Proposal), NUS, Online, Jan 2023.

  • Learning Human Mobility with Deep Spatio-Temporal Neural Networks, Alibaba DAMO, Online, Mar 2022.

  • 基于深度时空神经网络的人类移动性分析, USTC, Online, Mar 2022.

  • Internship End Talk - Video Understanding using Transformers, Sea AI Lab, Singapore, Dec 2021.

  • Modeling Trajectories with Neural Ordinary Differential Equations, IJCAI, Online, Aug 2021.

  • A Survey on Vision Transformers, Zhejiang Lab, Online, Aug 2021.

  • Fine-grained Urban Flow Prediction, WWW, Online, Apr 2021.