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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. Prior to that, he obtained his PhD degree at the School of Computing, National University of Singapore. He published 50+ papers in refereed journals (e.g., TPAMI, AI, TKDE, TNNLS, TMC) and conferences (e.g., KDD, NeurIPS, ICLR, WWW, ECCV, IJCAI, AAAI, and MM). His publications collectively gathered 3,400+ citations on Google Scholar, with h-index of 27 and i10-index of 46. Among them, three papers were selected as the most influential IJCAI/KDD papers according to PaperDigest. He served as a program committee member for many prestigious 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

from HKU
2023-Present: Multimodel Pretraining, Spatio-Temporal Data Mining

Weichuang Li

from CityU
2023-Present: Generative Models, Implicit Neural Representation

Wei Chen

from OUC
2023-Present: Data Mining, Causal Discovery, Information Retrieval

Jiaxi Hu

from CityU
2023-Present: Recommender system, Multimodal, Time series

Qiongyan Wang

from UCPH
2023-Present: Spatio-Temporal Data Mining, Time series

Mphil Students

Yuehong Hu

from CSU
2023-Present: Data Mining, Time series, Recommender system

Xingchen Zou

from HKU
2023-Present: Data Mining, AI for Geotechnical Engineering

Siru Zhong

from HFUT
2023-Present: Multimodal Learning, Data Mining

Sicong Lai

from GZHU
2023-Present: Data Mining, Urban Computing, Graph learning

Erdong Liu

from SCUT
2023-Present: Time-Spatial Data Mining, Urban Computing, Time series

Yanchen Zhu

from SCUT
2023-Present: Data mining, Reinforcement learning, Heuristic algorithm

Gefeng Luo

from TJU
2023-Present: Urban Computing, Data Minining

Yuqian Wang

from CHD
2023-Present: Dispatching Algorithms, Ride-sourcing Service

Xin ZUO

from ECNU
2023-Present: Spatio-Temporal Reinforcement Learning

Jianxiang Zhou

from SUSTech
2023-Present: Spatio-Temporal Data Mining, Graph Neural Network

Yutong Feng

from SCUT
2023-Present: Spatio-Temporal Data Mining, Federate Learning

Weilin Ruan

from JNU
2023-Present: Spatio-Temporal Data Mining, Multi-Modal

Ziyu Zhou

from BJUT
2024-Present: Time series, Machine Learning

Research Assistant

Jie Zhao

from CQU
2024-Present: Spatio-Temporal Data Mining, Intelligent Transportation

Onsite Interns

Yuanshao Zhu

from SUSTech
2023-Present: Spatio-Temporal Data Mining, Trajectory Analysis

Qingren Yao

from TJU
2024-Present: Time series, Data Mining

Bowen Zhang

from SCUT
2024-Present: Time series, Spatio-Temporal Data Mining

Alumni

  • Disen Lan (Undergraduate student, South China University of Technology)
  • Huaiwu Zhang (Master student, University of Chinese Academy of Sciences)
  • Yibo Yan (Master student, National University of Singapore)
  • Lilan Peng (Ph.D. student, Southwest Jiaotong University)
  • Guibing Zhang (Undergraduate student, Tongji University)
  • Haodong Chen (Undergraduate student, Northwestern Polytechnical University)
  • Wentao Zeng (Undergraduate student, Northeastern University)
  • Kang Luo (Master student, Zhejiang University)

Outside HKUST(GZ)

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

Collaborators

We are honored to closely work with the following researchers: