Yan Lin's Homepage

Yan Lin

Nov 17, 20246 min read

Bio

  • Email: lyan@cs.aau.dk
  • Institutions: Department of Computer Science, Aalborg University
  • Position: Postdoc
  • Address: Selma Lagerlöfs Vej 300, 9000 Aalborg, Denmark

I am currently a postdoctoral researcher in the Department of Computer Science at Aalborg University. I received my PhD and Bachelor’s degrees from Beijing Jiaotong University, China.

Professional Experience

Aalborg University, Denmark (Jun 2024-Present)

Education Background

Beijing Jiaotong University, China (Sep 2019-Mar 2024)

  • Position: PhD
  • Institute: School of Computer and Information Technology
  • Major: Computer Science and Technology
  • Supervisor: Prof. Huaiyu Wan

Aalborg University, Denmark (Sep 2022-Sep 2023)

  • Position: Visiting PhD Student
  • Institute: Computer Science and Technology
  • Major: Computer Science and Technology
  • Supervisor: Prof. Bin Yang, Prof. Jilin Hu

Beijing Jiaotong University, China (Sep 2015-Jun 2019)

  • Position: Bachelor
  • Institute: School of Computer and Information Technology
  • Major: Computer Science and Technology

Research Interest

Selected Publications

Full Publication List

Conference

CTLE: Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. Paper, Code

  • Authors: Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin
  • Conference: AAAI, 2021, 35(5), 4241-4248.

DOT: Origin-Destination Travel Time Oracle for Map-based Services. Paper, Preprint, Code

  • Authors: Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin
  • Conference: SIGMOD, 2024, 1(3), Article No. 217.

Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models.

  • Authors: Letian Gong*, Yan Lin*, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan
  • Conference: NeurIPS, 2024.

CACSR: Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning. Paper, Code

  • Authors: Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan.
  • Conference: AAAI, 2023, 37(4), 4276-4283.

WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting. Paper, Code

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting.

  • Authors: Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang
  • Conference: KDD, 2025.

Journal

TALE: Pre-training time-aware location embeddings from spatial-temporal trajectories. Paper, Code

  • Authors: Huaiyu Wan, Yan Lin, Shengnan Guo, Youfang Lin
  • Journal: IEEE TKDE, 2022, 34 (11): 5510-5523.

MMTEC: Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding. Paper, Preprint, Code

  • Authors: Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin
  • Journal: IEEE TKDE, DOI: 10.1109/TKDE.2023.3347513, 2023.

IAGCN: Inductive and Adaptive Graph Convolution Networks Equipped with Constraint Task for Spatial-Temporal Traffic Data Kriging. Paper, Code

  • Authors: Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan
  • Journal: Knowledge-Based Systems (KBS), 2024, 284: 111325.

STCCR: Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning. Preprint

  • Authors: Letian Gong, Huaiyu Wan, Shengnan Guo, Li Xiucheng, Yan Lin, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin
  • Journal: IEEE TKDE, DOI: 10.1109/TKDE.2024.3434565, 2024.

MM-STGED: Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery. Preprint, Paper, Code

  • Authors: Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan
  • Journal: IEEE TKDE, DOI: 10.1109/TKDE.2024.3396158, 2024.

Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation. Preprint, Paper, Code

  • Authors: Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Menglu Ya, Huaiyu Wan
  • Journal: IEEE TKDE, DOI: 10.1109/TKDE.2024.3460051, 2024.

Notes

* Authors contribute equally.

Selected Projects

Full Project List

Principal Investigator

Pre-TrajRL: Research on Prediction of User Travel Destination and Travel Time Based on Trajectory Representation Learning (May 2021-May 2023)

  • Funding: The Fundamental Research Funds for the Central Universities of China

OverleafCopilot: Development of OverleafCopilot - Empowering Academic Writing in Overleaf with Large Language Models (Oct 2023-Present) Website

  • Personal interest project

Participant

InvDisMatter: Research on Inverse Design of Materials Using Diffusion Probabilistic Models (Apr 2024-Mar 2026) Website

  • Funding: The Villum Foundation

PreRL-Traj: Research on Pre-training Representation Learning Methods of Spatial-temporal Trajectory Data for Traffic Prediction (Jan 2023-Dec 2025)

  • Funding: The National Natural Science Foundation of China

STTrajGen: Research on Spatial-temporal Trajectory Generation and Representation Learning Methods for Sparsity Problems (Jan 2024-Dec 2026)

  • Funding: The National Natural Science Foundation of China

Services

Selected Presentations

Full Presentation List

PLM4Traj-WS: PLM4Traj: Leveraging Pre-trained Language Models for Cognizing Movement Patterns and Travel Purposes from Trajectories, Workshop presentation.

  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Barcelona, Spain, Aug 8 2024

DOT-PO: Origin-Destination Travel Time Oracle for Map-based Services, Paper oral.

  • International Conference on Management of Data
  • Santiago, Chile, Jun 12 2024

SSLTraj-T: Self-supervised Learning of Spatial-temporal Trajectories, Tutorial.

  • International Conference on Spatial Data and Intelligence
  • Nanjing, China, Apr 25 2024

CLTE-PO: Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction, Paper Oral

  • AAAI Conference on Artificial Intelligence
  • Virtual, Feb 08 2021

Professional Services

  • IEEE, ACM, CCF member
  • IEEE (Denmark Section) Computer Society Secretary
  • Reviewer for several journals, including ACM Transactions on Intelligent Systems and Technology (TIST), IEEE Transactions on Industrial Informatics (TII), Springer Machine Learning, and IEEE Transactions on Vehicular Technology (TVT).
  • A member of program committees of several international conferences, including ICLR, KDD, AAAI, and CVPR.

Mentoring Activities

  • Mentoring two Master’s students, i.e., Wenchuang Peng and Yuan Wei, in the project Pre-TrajRL.
  • Mentoring two Ph.D. students, i.e., Tonglong Wei and Letian Gong, in the project STTrajGen.

Teaching

PBL course & Co-supervision: DAT1/SW1@Aalborg University

  • Oct 23 2024, Aalborg, Denmark

Guest Lecture: Self-supervised Learning of Trajectory Data, Slides

  • Curriculum: Time and Spatial Analysis@Aalborg University
  • Sep 24 2024, Aalborg, Denmark

Teaching Assistant: Deep Learning@Beijing Jiaotong University

  • Fall 2021, Beijing, China

Teaching Assistant: Machine Learning@Beijing Jiaotong University

  • Fall 2021, Beijing, China

Prizes and Awards

  • Tencent Rhino-Bird Elite Talent 2022
  • Granted by the State Scholarship Fund of China Scholarship Council 2022
  • First-class Academic Scholarship 2020, 2021, 2023
  • National Scholarship of China 2019

Skills

Computer Science

Skilled in computer science theory and its applications, with a strong focus on machine learning theory and data mining techniques. Possessing extensive experience in designing and implementing machine learning and deep learning models.

Programming

Proficient in Python, JavaScript, and HTML, with additional experience in C++ and Java.

Resource

PhD Thesis: Self-supervised Learning of Spatial-temporal Trajectory Data. Paper, Defense Slides

Curriculum Vitae: English

Graph View

Backlinks

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