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Yan Lin dff10ccf17 tiny fix
2025-12-06 13:13:09 +01:00

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sections:
- publications
- projects
- teaching
- presentations
- services
primaryPublications:
- title: "RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting"
authors: Haochen Lv*, <strong>Yan Lin*</strong>, Shengnan Guo, Xiaowei Mao, Hong Nie, Letian Gong, Youfang Lin, Huaiyu Wan
tags:
- "KDD"
- "2026"
links: {}
- title: "TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model"
authors: Yichen Liu*, <strong>Yan Lin*</strong>, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan
tags:
- "NeurIPS"
- "2025"
links:
Poster: "https://neurips.cc/virtual/2025/poster/115959"
- title: "TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability"
authors: Tonglong Wei*, <strong>Yan Lin*</strong>, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan
tags:
- "NeurIPS"
- "2025"
links:
Oral: "https://neurips.cc/virtual/2025/oral/117509"
Poster: "https://neurips.cc/virtual/2025/poster/117508"
Preprint: "https://arxiv.org/abs/2505.12672"
- title: "PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models"
authors: Tonglong Wei*, <strong>Yan Lin*</strong>, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan
tags:
- "NeurIPS"
- "2025"
links:
Poster: "https://neurips.cc/virtual/2025/poster/117945"
Preprint: "https://arxiv.org/abs/2410.14281"
- 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:
Paper: "https://ojs.aaai.org/index.php/AAAI/article/view/33350"
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: "Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?"
authors: Shuo Liu, Di Yao, <strong>Yan Lin</strong>, Gao Cong, Jingping Bi
tags:
- "KDD"
- "2026"
links:
Preprint: "https://arxiv.org/abs/2509.00053"
- title: "SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design"
authors: Qingsong Zhong, Haomin Yu, <strong>Yan Lin</strong>, Wangmeng Shen, Long Zeng, Jilin Hu
tags:
- "AAAI"
- "2026"
links: {}
- title: "Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation"
authors: Xiaowei Mao, Huihu Ding, <strong>Yan Lin</strong>, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu, Huaiyu Wan
tags:
- "AAAI"
- "2026"
links: {}
- 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:
Paper: "https://dl.acm.org/doi/10.1145/3690624.3709325"
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:
Paper: "https://ieeexplore.ieee.org/document/10613424"
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: {}
teaching:
- title: "AI Systems & Infrastructure"
tags:
- "Fall 2025"
- "Aalborg University"
desc: "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."
links:
Moodle: https://www.moodle.aau.dk/course/view.php?id=57016
Literature: https://blog.yanlincs.com/ai-system/
presentations:
- title: "AMDEN: Amorphous Materials DEnoising Network"
tags:
- "Oral Presentation"
- "PNCS17"
links:
Slides: "/assets/pncs17-slides.pdf"
- 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: 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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