# Yan Lin's Homepage
Yan Lin - Computer science researcher interested in data mining, representation learning, and AI for science

Yan Lin's Homepage

### 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.

### Publications

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KDD | 2026

##### 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

KDD | 2026

Preprint

##### 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

* Equal Contribution

### Projects

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Fundamental Research Funds for the Central Universities of China

##### 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.

### Teaching

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Fall 2025 | Aalborg University

Moodle Literature

##### 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.

### 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

Tutorial | SpatialDI 2024

Slides

##### Self-supervised Learning of Spatial-temporal Trajectories

### Services

- 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