Members

Lab Director

Yuxuan Liang

Assistant Professor, HKUST(GZ)

Dr. Yuxuan Liang is working on the research, development, and innovation of spatio-temporal data mining and AI, with a broad range of applications in smart cities. He obtained his PhD degree from School of Computing, National University of Singapore. He has published 90+ papers in refereed journals (e.g., TPAMI, AI, TKDE, TNNLS, TMC) and conferences (e.g., KDD, NeurIPS, ICLR, WWW, ECCV, IJCAI, AAAI, and MM), amassing 4,300+ citations on Google Scholar, with an h-index of 33 and i10-index of 57. Among them, three papers were selected as the most influential IJCAI/KDD papers via PaperDigest. He has served as a program committee member of top conferences, such as KDD, ICML, ICLR, NeurIPS, WWW, CVPR, and ICCV. He also had three-year industrial experience in Microsoft, JD.COM, and Sea AI Lab, He was recognized as 1 of the 10 most innovative and impactful Ph.D. students focusing on Data Science in Singapore by the Singapore Data Science Consortium (SDSC) in 2020. For more details, please visit his homepage.

PhD Students

Xixuan Hao
2023-Present: Multimodal Learning, Spatio-Temporal Data Mining

Weichuang Li
2023-Present: Generative Models, Implicit Neural Representation

Wei Chen
2023-Present: Data Mining, Causal Discovery, Information Retrieval

Jiaxi Hu
2024-Present: Recommender system, Multimodal, Time series

Qiongyan Wang
2024-Present: Spatio-Temporal Data Mining, Time series

Mphil Students

Yuehong Hu
2023-Present: Data Mining, Time series, Recommender system

Xingchen Zou
2023-Present: Data Mining, AI for Geotechnical Engineering

Siru Zhong
2023-Present: Multimodal Learning, Data Mining

Sicong Lai
2023-Present: Data Mining, Urban Computing, Graph learning

Erdong Liu
2023-Present: Spatio-Temporal Data Mining, Urban Computing, Time series

Yanchen Zhu
2023-Present: Data mining, Reinforcement learning, Heuristic algorithm

Gefeng Luo
2023-Present: Urban Computing, Data Minining

Yuqian Wang
2023-Present: Dispatching Algorithms, Ride-sourcing Service

Xin Zuo
2023-Present: Spatio-Temporal Reinforcement Learning

Jianxiang Zhou
2023-Present: Spatio-Temporal Data Mining, Graph Neural Network

Yutong Feng
2023-Present: Spatio-Temporal Data Mining, Federate Learning

Weilin Ruan
2024-Present: Spatio-Temporal Data Mining, Multimodal Learning

Ziyu Zhou
2024-Present: Time series, Machine Learning

Songxin Lei
2024-Present: Urban Sensing, Reinforcement learning, Multimodal

Yongzheng Liu
2024-Present: Spatio-Temporal Data Mining, Multimodal, Smart Energy

Research Assistant

Qingren Yao
2024-Present: Time series, Data Mining

Onsite Interns

Yuanshao Zhu
2023-Present: Spatio-Temporal Data Mining, Trajectory Analysis

Jiabo Liu
2024-Present: Spatio-Temporal Data Mining, Multimodal

Junjie Qiu
2024-Present: Trajectory Data Mining, Robotics

Yongqi Pan
2024-Present: Model lightweight, Object tracking, Blockchain

Zepu Wang
2023-Present: Spatio-Temporal Data Mining, Time Series, Transportation

Alumni

Research Intern

  • Bowen Zhang (2024) Undergraduate student, South China University of Technology -> PhD student, Chinese University of Hong Kong.
  • Disen Lan (2023~2024) Undergraduate student, South China University of Technology-> PhD student, Fudan University & Shanghai AI Lab.
  • Guibing Zhang (2023~2024) Undergraduate student, Tongji University.
  • Lilan Peng (2023~2024) PhD student, Southwest Jiaotong University.
  • Kang Luo (2023~2024) Master student, Zhejiang University.
  • Haodong Chen (2023~2024) Undergraduate student, Northwestern Polytechnical University.
  • Wentao Zeng (2023) Undergraduate student, Northeastern University.

Research Assistant

  • Jie Zhao (2024) PhD student, Chongqing University -> Postdoc, Tsinghua University.
  • Huaiwu Zhang (2023~2024) Master student, University of Chinese Academy of Sciences -> PhD student, University of Helsinki.
  • Yibo Yan (2023~2024) Master student, National University of Singapore -> PhD student, Hong Kong University of Science and Technology (Guangzhou).

Outside HKUST(GZ)

Our team is also very lucky to collaborate with the following talented students (in alphabetical order):

  • Haomin Wen (PhD student, Beijing Jiaotong University), co-supervised with Prof. Youfang Lin, 2022-Present.
  • Junfeng Hu (PhD student, National University of Singapore), co-supervised with Prof. Roger Zimmermann, 2021-Present.
  • Kun Wang (PhD student, University of Science and Technology of China), co-supervised with Prof. Yang Wang, 2022-Present.
  • Xu Liu (PhD student, National University of Singapore), co-supervised with Prof. Roger Zimmermann, 2021-Present.
  • Yoojin An (Master, Dongguk University), co-supervised with Prof. Jihie Kim, 2021-2022.
  • Yutong Xia (PhD student, National University of Singapore), co-supervised with Prof. Roger Zimmermann, 2022-Present.

Collaborators

We are honored to closely work with the following researchers: