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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

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 Tencent
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


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

Research Assistant

Jiaxi Hu

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

Huaiwu Zhang

from UCAS
2023-Present: Bioinformatics, AI for Precision Medicine, Smart City

Yibo YAN

from NUS
2023-Present: Spatio-Temporal Data Mining, Recommender System, NLP

Onsite Interns

Yuanshao Zhu

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

Weilin Ruan

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

Disen Lan

from SCUT
2023-Present: Time series, Artificial intelligence, Data Mining

Lilan Peng

from SWJTU
2023-Present: Spatio-Temporal Mining,Graph Neural network

Qingren Yao

from TJU
2023-Present: Time series, Data Mining


  • Qiongyan Wang (Master student, University of Copenhagen)
  • 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):


We are honored to closely work with the following researchers: