primaryPublications:
  - title: "UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation"
    authors: "<strong>Yan Lin</strong>, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan"
    tags:
      - "IEEE TKDE"
      - "2025"
    links:
      Paper: "https://ieeexplore.ieee.org/document/11004614"
      Preprint: "https://arxiv.org/abs/2402.07232"
      Code: "https://github.com/Logan-Lin/UVTM"

  - title: "TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories"
    authors: "Zeyu Zhou*, <strong>Yan Lin*</strong>, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan"
    tags:
      - "IJCAI"
      - "2025"
    links:
      Preprint: "https://arxiv.org/abs/2405.12459"
      Code: "https://github.com/Zeru19/PLM4Traj"

  - title: "UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings"
    authors: "<strong>Yan Lin</strong>, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan"
    tags:
      - "IEEE TKDE"
      - "2025"
    links:
      Paper: "https://ieeexplore.ieee.org/document/10818577"
      Preprint: "https://arxiv.org/abs/2407.12550"
      Code: "https://github.com/Logan-Lin/UniTE"

  - title: "Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models"
    authors: "Yongfu Wei*, <strong>Yan Lin*</strong>, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu"
    tags:
      - "WWW"
      - "2025"
    links:
      Paper: "https://openreview.net/forum?id=KmMSQS6tFn"
      Code: "https://github.com/decisionintelligence/Path-LLM"

  - title: "DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation"
    authors: "Xiaowei Mao*, <strong>Yan Lin*</strong>, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan"
    tags:
      - "AAAI"
      - "2025"
    links:
      Preprint: "https://arxiv.org/abs/2408.12809"

  - title: "Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models"
    authors: "Letian Gong*, <strong>Yan Lin*</strong>, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan"
    tags:
      - "NeurIPS"
      - "2024"
    links:
      Paper: "https://openreview.net/forum?id=0feJEykDRx"
      Poster: "https://neurips.cc/virtual/2024/poster/96914"

  - title: "Origin-Destination Travel Time Oracle for Map-based Services"
    authors: "<strong>Yan Lin</strong>, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin"
    tags:
      - "SIGMOD"
      - "2024"
    links:
      Paper: "https://dl.acm.org/doi/10.1145/3617337"
      Preprint: "https://arxiv.org/abs/2307.03048"
      Code: "https://github.com/Logan-Lin/DOT"

  - title: "Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding"
    authors: "<strong>Yan Lin</strong>, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin"
    tags:
      - "IEEE TKDE"
      - "2023"
    links:
      Paper: "https://ieeexplore.ieee.org/abstract/document/10375102"
      Preprint: "https://arxiv.org/abs/2207.14539"
      Code: "https://github.com/Logan-Lin/MMTEC"

  - title: "Pre-training Time-aware location embeddings from spatial-temporal trajectories"
    authors: "Huaiyu Wan, <strong>Yan Lin</strong>, Shengnan Guo, Youfang Lin"
    tags:
      - "IEEE TKDE"
      - "2022"
    links:
      Paper: "https://ieeexplore.ieee.org/abstract/document/9351627"
      Code: "https://github.com/Logan-Lin/TALE"

  - title: "Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction"
    authors: "<strong>Yan Lin</strong>, Huaiyu Wan, Shengnan Guo, Youfang Lin"
    tags:
      - "AAAI"
      - "2021"
    links:
      Paper: "https://ojs.aaai.org/index.php/AAAI/article/view/16548"
      Code: "https://github.com/Logan-Lin/CTLE"

secondaryPublications:
  - title: "DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting"
    authors: "Xiangfei Qiu, Xingjian Wu, <strong>Yan Lin</strong>, Chenjuan Guo, Jilin Hu, Bin Yang"
    tags:
      - "KDD"
      - "2025"
    links:
      Preprint: "https://arxiv.org/abs/2412.10859"
      Code: "https://github.com/decisionintelligence/DUET"

  - title: "Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation"
    authors: "Tonglong Wei, Youfang Lin, Shengnan Guo, <strong>Yan Lin</strong>, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Menglu Ya, Huaiyu Wan"
    tags:
      - "IEEE TKDE"
      - "2024"
    links:
      Paper: "https://www.computer.org/csdl/journal/tk/5555/01/10679607/20b3hlbjBOo"
      Preprint: "https://arxiv.org/abs/2402.07369"
      Code: "https://github.com/wtl52656/Diff-RNTraj"

  - title: "STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation"
    authors: "Letian Gong, Shengnan Guo, <strong>Yan Lin</strong>, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu, Huaiyu Wan"
    tags:
      - "IEEE TKDE"
      - "2024"
    links:
      Paper: "https://ieeexplore.ieee.org/document/10836764"

  - title: "Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery"
    authors: "Tonglong Wei, Youfang Lin, <strong>Yan Lin</strong>, Shengnan Guo, Lan Zhang, Huaiyu Wan"
    tags:
      - "IEEE TKDE"
      - "2024"
    links:
      Paper: "https://www.computer.org/csdl/journal/tk/5555/01/10517676/1WCj0j0FljW"
      Preprint: "https://arxiv.org/abs/2404.19141"
      Code: "https://github.com/wtl52656/MM-STGED"

  - title: "Inductive and Adaptive Graph Convolution Networks Equipped with Constraint Task for Spatial-Temporal Traffic Data Kriging"
    authors: "Tonglong Wei, Youfang Lin, Shengnan Guo, <strong>Yan Lin</strong>, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan"
    tags:
      - "KBS"
      - "2024"
    links:
      Paper: "https://www.sciencedirect.com/science/article/pii/S0950705123010730"
      Code: "https://github.com/wtl52656/IAGCN"

  - title: "Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning"
    authors: "Letian Gong, Huaiyu Wan, Shengnan Guo, Li Xiucheng, <strong>Yan Lin</strong>, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin"
    tags:
      - "IEEE TKDE"
      - "2024"
    links:
      Preprint: "https://arxiv.org/abs/2407.15899"

  - title: "Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning"
    authors: "Letian Gong, Youfang Lin, Shengnan Guo, <strong>Yan Lin</strong>, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan"
    tags:
      - "AAAI"
      - "2023"
    links:
      Paper: "https://ojs.aaai.org/index.php/AAAI/article/view/25546"
      Code: "https://github.com/LetianGong/CACSR"

  - title: "Adversarial Self-Attentive Time-Variant Neural Networks for Multi-Step Time Series Forecasting"
    authors: "Changxia Gao, Ning Zhang, Youru Li, <strong>Yan Lin</strong>, Huaiyu Wan"
    tags:
      - "ESWA"
      - "2023"
    links:
      Paper: "https://www.sciencedirect.com/science/article/pii/S0957417423012241"

  - title: "Multi-scale Adaptive Attention-based Time-Variant Neural Networks for Multi-step Time Series Forecasting"
    authors: "Changxia Gao, Ning Zhang, Youru Li, <strong>Yan Lin</strong>, Huaiyu Wan"
    tags:
      - "APIN"
      - "2023"
    links:
      Paper: "https://link.springer.com/article/10.1007/s10489-023-05057-7"

  - title: "WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting"
    authors: "Yuxin Jia, Youfang Lin, Xinyan Hao, <strong>Yan Lin</strong>, Shengnan Guo, Huaiyu Wan"
    tags:
      - "NeurIPS"
      - "2023"
    links:
      Paper: "https://openreview.net/forum?id=y08bkEtNBK"
      Code: "https://github.com/Water2sea/WITRAN"

primaryProjects:
  - title: "Research on <i>Prediction of User Travel Destination and Travel Time Based on Trajectory Representation Learning</i>"
    tags:
      - "Fundamental Research Funds for the Central Universities of China"
    desc: "Applies representation learning to trajectory data to transform original features into high-level information, improving the performance of downstream tasks such as travel time and destination prediction."
    links: {}

  - title: "Development of <i>OverleafCopilot - Empowering Academic Writing in Overleaf with Large Language Models</i>"
    tags:
      - "Personal Interest Project"
    desc: "This project aims to develop a Browser extension to seamlessly integrate Large Language Models (such as ChatGPT) into the popular online academic writing platform, Overleaf."
    links:
      Home: "https://www.overleafcopilot.com/"
      Install: "https://chromewebstore.google.com/detail/overleaf-copilot/eoadabdpninlhkkbhngoddfjianhlghb"

  - title: "Development of <i>PromptGenius - All-purpose prompts for LLMs</i>"
    tags:
      - "Personal Interest Project"
    desc: "This project focuses on developing a website that offers a wide range of prompt categories, enhancing the versatility of LLMs for various tasks and improving their output quality."
    links:
      Website: "https://www.promptgenius.site/"
      Code: "https://github.com/wenhaomin/ChatGPT-PromptGenius"

secondaryProjects:
  - title: "Research on <i>Inverse Design of Materials Using Diffusion Probabilistic Models</i>"
    tags:
      - "Villum Foundation"
    desc: "This project focuses on developing diffusion probabilistic models to first understand the relationship between chemistry/structure and material properties, then enable the inverse design of new materials with specific properties. This project currently supports my postdoctoral research position."
    links: {}

  - title: "Research on <i>Pre-training Representation Learning Methods of Spatial-temporal Trajectory Data for Traffic Prediction</i>"
    tags:
      - "National Natural Science Foundation of China"
    desc: "This project aims to propose pre-training representation learning methods for spatial-temporal trajectory data, modeling multiple features to improve traffic prediction tasks. It demonstrates how trajectory representation learning can enhance traffic data mining."
    links: {}

  - title: "Research on <i>Spatial-temporal Trajectory Generation and Representation Learning Methods for Sparsity Problems</i>"
    tags:
      - "National Natural Science Foundation of China"
    desc: "This project explores how to generate high-quality spatial-temporal trajectory data and corresponding representations to address sparsity-related issues, thereby supporting a variety of downstream tasks."
    links: {}

presentations:
  - title: "Self-supervised Learning of Trajectory Data"
    tags:
      - "Guest lecture"
      - "Aalborg University"
    links:
      Slides: "/assets/Self-supervised Learning of Trajectory Data.pdf"

  - title: "PLM4Traj: Leveraging Pre-trained Language Models for Cognizing Movement Patterns and Travel Purposes from Trajectories"
    tags:
      - "Workshop presentation"
      - "KDD 2024"
    links:
      Slides: "/assets/KDD_2024_Workshop_PLM4Traj.pdf"
      Paper: "https://arxiv.org/abs/2405.12459"

  - title: "Origin-Destination Travel Time Oracle for Map-based Services"
    tags:
      - "Paper Oral"
      - "SIGMOD 2024"
    links:
      Slides: "/assets/SIGMOD-Oral-PPT.pdf"

  - title: "Self-supervised Learning of Spatial-temporal Trajectories"
    tags:
      - "Tutorial"
      - "SpatialDI 2024"
    links:
      Slides: "/assets/Talk on SpatialDI 2024.pdf"

  - title: "Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction"
    tags:
      - "Paper Oral"
      - "AAAI 2021"
    links:
      Slides: "/assets/AAAI21 Oral PPT.pdf"

services:
  - "IEEE, ACM member"
  - "Secretary of IEEE (Denmark Section) Computer Society"
  - "Reviewer for journals including TKDE, TIST, TII, and TVT"
  - "Member of program committees of KDD, ICLR, NeurIPS, AAAI, CVPR, ICCV, IJCAI, and WWW"