Selected Publications

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Some papers are listed below in reverse chronological order in which they appeared online. You can also find more about my research on Google Scholar profile.

Note: Sky blue = mentees I supervised or adviced. * = Co-first author. † = Corresponding Author.

Preprint

• Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
  Wei Chen, Yuxuan Liang†, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng
  arXiv, 2024. (Website) (News 1) (News 2)

2025

• Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
  Wei Chen, Yuxuan Liang†
  ICLR, 2025.

• Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web
  Xixuan Hao, Wei Chen, Xingchen Zou, Yuxuan Liang†
  WWW, 2025.

• UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
  Xixuan Hao*, Wei Chen*, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang†
  AAAI, 2025.

• Scalable Trajectory-User Linking with Dual-Stream Representation Networks
  Hao Zhang*, Wei Chen*, Xingyu Zhao, Jianpeng Qi, Guiyuan Jiang, Yanwei Yu†
  AAAI, 2025. (Oral)

• Correlation Attention Masked Temporal Transformer for User Identity Linkage using Heterogeneous Mobility Data
  Ziang Yan, Xingyu Zhao, Hanqing Ma, Wei Chen, Jianpeng Qi, Yanwei Yu†, Junyu Dong
  AAAI, 2025. (Oral)

2024

• Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
  Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang†
  NeurIPS, 2024.

• Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
  Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang†
  NeurIPS, 2024.

• Position Paper: What Can Large Language Models Tell Us about Time Series Analysis
  Ming Jin*, Yifan Zhang*, Wei Chen*, Kexin Zhang, Yuxuan Liang†, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen†
  ICML, 2024.

• Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
  Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang†
  IJCAI, 2024. (Oral)

• UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
  Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang†
  WWW, 2024. (Oral)

• MCN4Rec: Multi-Level Collaborative Neural Network for Next Location Recommendation
  Shuzhe Li*, Wei Chen*, Bin Wang, Chao Huang, Yanwei Yu†, Junyu Dong
  ACM TOIS, 2024.

2023

• Trajectory User Linking via Hierarchical Spatio Temporal Attention Networks
  Wei Chen, Chao Huang, Yanwei Yu†, Yongguo Jiang, Junyu Dong
  ACM TKDD, 2023.

• Self-supervised contrastive representation learning for large-scale trajectories
  Shuzhe Li*, Wei Chen*, Bingqi Yan, Zhen Li, Shunzhi Zhu, Yanwei Yu†
  FGCS, 2023

2022

• Mutual Distillation Learning Network for Trajectory-User Linking
  Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu†, Yongguo Jiang, Junyu Dong
  IJCAI, 2022. (Oral)