Research

He has published 100+ papers in prestigious journals (e.g., TPAMI, AI, TKDE, TMC, IJGIS) and conferences (e.g., KDD, NeurIPS, ICML, ICLR, WWW, ECCV, IJCAI, AAAI, and MM) with over 7K citations on Google Scholar. Here are some representative papers:

• Spatio-Temporal (ST) Data Mining:
  • LLM/FMs for Time Series and ST Data: UniTraj [arXiv], Time-FFM [NeurIPS’24], FM4TS Survey [KDD’24], Position Paper [ICML’24a], LLM4TS Survey [Survey’24], UrbanCLIP [WWW’24a], UniTime [WWW’24b], Time-LLM [ICLR’24]
  • ST Expert Models: PatchSTG [KDD’25], Attraos [NeurIPS’24], ST Causal Learning [NeurIPS’23 & KDD’23], DiffSTG [SIGSPATIAL’23], STGNP [KDD’23], MixRNN [TKDE’22], STGCL [SIGSPATIAL’22], ST-MetaNet [TKDE’20, KDD’19], STRN [WWW’21],
    UrbanFM [KDD’19, TKDE’20], GeoMAN [IJCAI’18],
  • Multimodal/Foundation Models for ST Data: UrbanVLP [AAAI’25], GeoHG [arXiv], UrbanCross [MM’24], UrbanCLIP [WWW’24] DualFormer [ECCV’22], [MM’22], [MM’21]
  • Trajectory Data Mining: Diffusion Model [KDD’24], Causal Learning [IJCAI’24], COLA [WWW’24], TrajCL [ICDE’23], TrajFormer [CIKM’22], TrajODE [IJCAI’21]
  • AutoML for ST data: AutoSTG+ [AI’23], AutoSTG [WWW’21], AutoST [KDD’21]
  • Applications: Nationwide Air Quality Inference [AAAI’25], Nationwide Air Quality Forecasting [AAAI’23], Resource Allocation [UBICOMP’21], ST Visualization [TVCG’21], Map Recovery [AAAI’20], Traffic Congestion [SIGSPATIAL’17],
• Graph Mining:
  • Graph learning: [AAAI’25], [NeurIPS’24], [TKDE’24], [ICML’24b], [ICML’24c], [TPAMI’24], [ICLR’24], [ICLR’23], [WWW’21], [NeurIPS’21], [NeurIPS’20]
  • Graph augmentation: [WWW’21], [NeurIPS’21], [KDD’20]
  • Applications: [KDD’22]
• Survey Paper:
  • LLMs/FMs + ST data:
    • [KDD’24] Foundation Models -> Time Series Analysis
    • [arXiv] Large Models -> Time Series and Spatio-Temporal Data
  • ST Data Mining & Urban Computing:
    • [TKDE’23] Spatio-Temporal Graph Neural Networks -> Urban Computing
    • [arXiv] Deep Learning -> Trajectory Data Management and Mining
    • [arXiv] Deep Learning -> Cross-Domain Data Fusion in Urban Computing
    • [arXiv] Diffusion Models -> Time Series and Spatio-Temporal Data
    • [arXiv] Service Route and Time Prediction in Instant Delivery
  • Time Series Analysis:
    • [TPAMI’24] Self-Supervised Learning -> Time Series Analysis
    • [arXiv] Deep Learning -> Multivariate Time Series Imputation

The full list of publication can be found here.