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Biography - Yan Lin

-

- I am currently a postdoctoral researcher in the Department of - Computer Science at Aalborg University, Denmark. I received my PhD and - Bachelor's degrees from Beijing Jiaotong University, China. My - research interests include spatiotemporal data mining, - representation learning, and AI for science. -

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- Publications -

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- KDD | 2026 -

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RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting
-

Haochen Lv*, Yan Lin*, Shengnan Guo, Xiaowei Mao, Hong Nie, Letian Gong, Youfang Lin, Huaiyu Wan

-
-
-

- NeurIPS | 2025 -

-
- - Poster - -
-
-
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
-

Yichen Liu*, Yan Lin*, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan

-
-
-

- NeurIPS | 2025 -

-
- - Oral - - Poster - - Preprint - -
-
-
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
-

Tonglong Wei*, Yan Lin*, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan

-
-
-

- NeurIPS | 2025 -

-
- - Poster - - Preprint - -
-
-
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
-

Tonglong Wei*, Yan Lin*, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan

-
-
-

- IEEE TKDE | 2025 -

-
- - Paper - - Preprint - - Code - -
-
-
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
-

Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan

-
-
-

- IJCAI | 2025 -

-
- - Paper - - Preprint - - Code - -
-
-
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
-

Zeyu Zhou*, Yan Lin*, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan

-
-
-

- IEEE TKDE | 2025 -

-
- - Paper - - Preprint - - Code - -
-
-
UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings
-

Yan Lin, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan

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- KDD | 2026 -

-
- - Preprint - -
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Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
-

Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi

-
-
-

- AAAI | 2026 -

-
- -
-
-
SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design
-

Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, Jilin Hu

-
-
-

- AAAI | 2026 -

-
- -
-
-
Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
-

Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu, Huaiyu Wan

-
-
-

- KDD | 2025 -

-
- - Paper - - Preprint - - Code - -
-
-
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
-

Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang

-
-
-

- IEEE TKDE | 2024 -

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

Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Menglu Ya, Huaiyu Wan

-
-
-

- IEEE TKDE | 2024 -

-
- - Paper - -
-
-
STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation
-

Letian Gong, Shengnan Guo, Yan Lin, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu, Huaiyu Wan

-
-
-

- IEEE TKDE | 2024 -

-
- - Paper - - Preprint - - Code - -
-
-
Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery
-

Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan

-
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- * Equal Contribution -
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- Projects -

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- Fundamental Research Funds for the Central Universities of China -

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Research on Prediction of User Travel Destination and Travel Time Based on Trajectory Representation Learning
-

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.

-
-
-

- Personal Interest Project -

-
- - Home - - Install - -
-
-
Development of OverleafCopilot - Empowering Academic Writing in Overleaf with Large Language Models
-

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.

-
-
-

- Personal Interest Project -

-
- - Website - - Code - -
-
-
Development of PromptGenius - All-purpose prompts for LLMs
-

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.

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-
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- Villum Foundation -

-
- -
-
-
Research on Inverse Design of Materials Using Diffusion Probabilistic Models
-

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.

-
-
-

- National Natural Science Foundation of China -

-
- -
-
-
Research on Pre-training Representation Learning Methods of Spatial-temporal Trajectory Data for Traffic Prediction
-

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.

-
-
-

- National Natural Science Foundation of China -

-
- -
-
-
Research on Spatial-temporal Trajectory Generation and Representation Learning Methods for Sparsity Problems
-

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.

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- - - -
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- Teaching -

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- - View All - -
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- Fall 2025 | Aalborg University -

-
- - Moodle - - Literature - -
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AI Systems & Infrastructure
- -

This course introduces students to streamlined interaction with AI models and systems, as well as implementation and deployment of scalable, production-ready AI systems on real-world infrastructures.

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- - - -
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- Presentations -

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- Oral Presentation | PNCS17 -

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AMDEN: Amorphous Materials DEnoising Network
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- Guest lecture | Aalborg University -

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- - Slides - -
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Self-supervised Learning of Trajectory Data
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- Workshop presentation | KDD 2024 -

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- - Slides - - Paper - -
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PLM4Traj: Leveraging Pre-trained Language Models for Cognizing Movement Patterns and Travel Purposes from Trajectories
-
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- Paper Oral | SIGMOD 2024 -

-
- - Slides - -
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Origin-Destination Travel Time Oracle for Map-based Services
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- Tutorial | SpatialDI 2024 -

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- - Slides - -
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Self-supervised Learning of Spatial-temporal Trajectories
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Services

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  • IEEE, ACM member
    • - -
  • Secretary of IEEE (Denmark Section) Computer Society
    • - -
  • Reviewer for journals: TKDE, TKDD, TIST, TII, and TVT
    • - -
  • Member of program committees of conferences: KDD, ICLR, NeurIPS, AAAI, CVPR, ICCV, IJCAI, WWW, and WACV
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- - - - - - - - - \ No newline at end of file diff --git a/dist/presentations/index.html b/dist/presentations/index.html deleted file mode 100644 index 601a765..0000000 --- a/dist/presentations/index.html +++ /dev/null @@ -1,162 +0,0 @@ - - - - - - - Yan Lin's Presentations - - - - - - - - - - - - - - - - -
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- Oral Presentation | PNCS17 -

-
- - Slides - -
-
-
AMDEN: Amorphous Materials DEnoising Network
-
- -
-
-

- Guest lecture | Aalborg University -

-
- - Slides - -
-
-
Self-supervised Learning of Trajectory Data
-
- -
-
-

- Workshop presentation | KDD 2024 -

-
- - Slides - - Paper - -
-
-
PLM4Traj: Leveraging Pre-trained Language Models for Cognizing Movement Patterns and Travel Purposes from Trajectories
-
- -
-
-

- Paper Oral | SIGMOD 2024 -

-
- - Slides - -
-
-
Origin-Destination Travel Time Oracle for Map-based Services
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- -
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- Tutorial | SpatialDI 2024 -

-
- - Slides - -
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-
Self-supervised Learning of Spatial-temporal Trajectories
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- -
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- Paper Oral | AAAI 2021 -

-
- - Slides - -
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Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction
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- -
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- -
- - - - - - - - - \ No newline at end of file diff --git a/dist/projects/index.html b/dist/projects/index.html deleted file mode 100644 index 5bf298e..0000000 --- a/dist/projects/index.html +++ /dev/null @@ -1,227 +0,0 @@ - - - - - - - Yan Lin's Projects - - - - - - - - - - - - - - - - -
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- Fundamental Research Funds for the Central Universities of China -

-
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Research on Prediction of User Travel Destination and Travel Time Based on Trajectory Representation Learning
-

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.

-
- - - -
-
-

- Personal Interest Project -

-
- - Home - - Install - -
-
-
Development of OverleafCopilot - Empowering Academic Writing in Overleaf with Large Language Models
-

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.

-
- - - -
-
-

- Personal Interest Project -

-
- - Website - - Code - -
-
-
Development of PromptGenius - All-purpose prompts for LLMs
-

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.

-
- - -
-
-
- - -
-
-

- Villum Foundation -

-
- -
-
-
Research on Inverse Design of Materials Using Diffusion Probabilistic Models
-

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.

-
- - - -
-
-

- National Natural Science Foundation of China -

-
- -
-
-
Research on Pre-training Representation Learning Methods of Spatial-temporal Trajectory Data for Traffic Prediction
-

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.

-
- - - -
-
-

- National Natural Science Foundation of China -

-
- -
-
-
Research on Spatial-temporal Trajectory Generation and Representation Learning Methods for Sparsity Problems
-

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.

-
- - -
-
- -
- - - - - - - - - \ No newline at end of file diff --git a/dist/publications/index.html b/dist/publications/index.html deleted file mode 100644 index ed0f8af..0000000 --- a/dist/publications/index.html +++ /dev/null @@ -1,642 +0,0 @@ - - - - - - - Yan Lin's Publications - - - - - - - - - - - - - - - - -
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- KDD | 2026 -

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RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting
-

Haochen Lv*, Yan Lin*, Shengnan Guo, Xiaowei Mao, Hong Nie, Letian Gong, Youfang Lin, Huaiyu Wan

-
- - - -
-
-

- NeurIPS | 2025 -

-
- - Poster - -
-
-
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
-

Yichen Liu*, Yan Lin*, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan

-
- - - -
-
-

- NeurIPS | 2025 -

-
- - Oral - - Poster - - Preprint - -
-
-
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
-

Tonglong Wei*, Yan Lin*, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan

-
- - - -
-
-

- NeurIPS | 2025 -

-
- - Poster - - Preprint - -
-
-
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
-

Tonglong Wei*, Yan Lin*, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan

-
- - - -
-
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- IEEE TKDE | 2025 -

-
- - Paper - - Preprint - - Code - -
-
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UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
-

Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan

-
- - - -
-
-

- IJCAI | 2025 -

-
- - Paper - - Preprint - - Code - -
-
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TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
-

Zeyu Zhou*, Yan Lin*, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan

-
- - - -
-
-

- IEEE TKDE | 2025 -

-
- - Paper - - Preprint - - Code - -
-
-
UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings
-

Yan Lin, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan

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- - - -
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- WWW | 2025 -

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Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models
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Yongfu Wei*, Yan Lin*, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu

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- AAAI | 2025 -

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DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
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Xiaowei Mao*, Yan Lin*, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan

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- NeurIPS | 2024 -

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- - Paper - - Poster - -
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Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
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Letian Gong*, Yan Lin*, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan

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- SIGMOD | 2024 -

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- - Paper - - Preprint - - Code - -
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Origin-Destination Travel Time Oracle for Map-based Services
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Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin

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- IEEE TKDE | 2023 -

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Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding
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Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin

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- IEEE TKDE | 2022 -

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- - Paper - - Code - -
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Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories
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Huaiyu Wan, Yan Lin, Shengnan Guo, Youfang Lin

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- - - -
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- AAAI | 2021 -

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

Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin

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- KDD | 2026 -

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- - Preprint - -
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Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
-

Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi

-
- - - -
-
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- AAAI | 2026 -

-
- -
-
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SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design
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Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, Jilin Hu

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-
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- AAAI | 2026 -

-
- -
-
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Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
-

Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu, Huaiyu Wan

-
- - - -
-
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- KDD | 2025 -

-
- - Paper - - Preprint - - Code - -
-
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DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
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Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang

-
- - - -
-
-

- IEEE TKDE | 2024 -

-
- - Paper - - Preprint - - Code - -
-
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Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation
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Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Menglu Ya, Huaiyu Wan

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- IEEE TKDE | 2024 -

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- - Paper - -
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STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation
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Letian Gong, Shengnan Guo, Yan Lin, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu, Huaiyu Wan

-
- - - -
-
-

- IEEE TKDE | 2024 -

-
- - Paper - - Preprint - - Code - -
-
-
Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery
-

Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan

-
- - - -
-
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- KBS | 2024 -

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- - Paper - - Code - -
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Inductive and Adaptive Graph Convolution Networks Equipped with Constraint Task for Spatial-Temporal Traffic Data Kriging
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Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan

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- IEEE TKDE | 2024 -

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- - Paper - - Preprint - -
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Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning
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Letian Gong, Huaiyu Wan, Shengnan Guo, Li Xiucheng, Yan Lin, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin

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- AAAI | 2023 -

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Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
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Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan

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- ESWA | 2023 -

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Adversarial Self-Attentive Time-Variant Neural Networks for Multi-Step Time Series Forecasting
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Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan

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- APIN | 2023 -

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Multi-scale Adaptive Attention-based Time-Variant Neural Networks for Multi-step Time Series Forecasting
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Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan

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- NeurIPS | 2023 -

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WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting
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Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, Huaiyu Wan

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- * Equal Contribution -
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- - - - - - - - - \ No newline at end of file diff --git a/dist/teaching/index.html b/dist/teaching/index.html deleted file mode 100644 index 7945041..0000000 --- a/dist/teaching/index.html +++ /dev/null @@ -1,95 +0,0 @@ - - - - - - - Yan Lin's Teaching - - - - - - - - - - - - - - - - -
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- Fall 2025 | Aalborg University -

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AI Systems & Infrastructure
- -

This course introduces students to streamlined interaction with AI models and systems, as well as implementation and deployment of scalable, production-ready AI systems on real-world infrastructures.

- -
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- - - - - - - - - \ No newline at end of file diff --git a/generate.py b/generate.py index 1497a6d..8dbc8c9 100644 --- a/generate.py +++ b/generate.py @@ -17,10 +17,6 @@ if __name__ == '__main__': os.makedirs('dist/presentations', exist_ok=True) os.makedirs('dist/teaching', exist_ok=True) - # Create .nojekyll file to prevent GitHub Pages from using Jekyll - with open('dist/.nojekyll', 'w') as f: - pass - def render_template(template_name, output_path, **kwargs): template = env.get_template(template_name) html = template.render(year=current_year, **kwargs)