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+ Guest lecture | Aalborg University +

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

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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 +

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

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

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+ + 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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+ + + + + + + + + + + \ No newline at end of file diff --git a/dist/projects/index.html b/dist/projects/index.html index 1269e0e..ab84b46 100644 --- a/dist/projects/index.html +++ b/dist/projects/index.html @@ -5,13 +5,17 @@ Yan Lin's Projects - - - - - + + + + + + + + + diff --git a/dist/projects/index.sync-conflict-20250610-225724-MRLK24K.html b/dist/projects/index.sync-conflict-20250610-225724-MRLK24K.html new file mode 100644 index 0000000..3aa62f0 --- /dev/null +++ b/dist/projects/index.sync-conflict-20250610-225724-MRLK24K.html @@ -0,0 +1,235 @@ + + + + + + + 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.

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+ + + +
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+ Personal Interest Project +

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+ + Home + + Install + +
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+
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.

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+ Personal Interest Project +

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+ + Website + + Code + +
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+
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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+ Villum Foundation +

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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.

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+ National Natural Science Foundation of China +

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+
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.

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+ National Natural Science Foundation of China +

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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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+ + + + + + + + + + + \ No newline at end of file diff --git a/dist/publications/index.html b/dist/publications/index.html index 3c88f43..fe91d31 100644 --- a/dist/publications/index.html +++ b/dist/publications/index.html @@ -5,13 +5,17 @@ Yan Lin's Publications - - - - - + + + + + + + + + diff --git a/dist/publications/index.sync-conflict-20250610-225724-MRLK24K.html b/dist/publications/index.sync-conflict-20250610-225724-MRLK24K.html new file mode 100644 index 0000000..9d0b587 --- /dev/null +++ b/dist/publications/index.sync-conflict-20250610-225724-MRLK24K.html @@ -0,0 +1,523 @@ + + + + + + + Yan Lin's Publications + + + + + + + + + + +
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+ IEEE TKDE | 2025 +

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+ + 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

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+ IJCAI | 2025 +

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+ + 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

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+ IEEE TKDE | 2025 +

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+ + 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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+ WWW | 2025 +

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+ + Paper + + Code + +
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+
Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models
+

Yongfu Wei*, Yan Lin*, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu

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+ AAAI | 2025 +

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+ + Preprint + +
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DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
+

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

Letian Gong*, Yan Lin*, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan

+
+ + + +
+
+

+ SIGMOD | 2024 +

+
+ + Paper + + Preprint + + Code + +
+
+
Origin-Destination Travel Time Oracle for Map-based Services
+

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

+
+ + + +
+
+

+ IEEE TKDE | 2023 +

+
+ + Paper + + Preprint + + Code + +
+
+
Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding
+

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

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+ + + +
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+ IEEE TKDE | 2022 +

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+ + Paper + + Code + +
+
+
Pre-training Time-aware location embeddings from spatial-temporal trajectories
+

Huaiyu Wan, Yan Lin, Shengnan Guo, Youfang Lin

+
+ + + +
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+

+ AAAI | 2021 +

+
+ + Paper + + Code + +
+
+
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 | 2025 +

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+ + 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

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+ IEEE TKDE | 2024 +

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+ + 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

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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
+

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

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+ + + +
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+ 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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+ + + +
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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
+

Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan

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+ + + +
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+

+ IEEE TKDE | 2024 +

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+ + Preprint + +
+
+
Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning
+

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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+ + Paper + + Code + +
+
+
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
+

Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan

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+ + + +
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+ ESWA | 2023 +

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+ + Paper + +
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Adversarial Self-Attentive Time-Variant Neural Networks for Multi-Step Time Series Forecasting
+

Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan

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+ + + +
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+ APIN | 2023 +

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+ + Paper + +
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Multi-scale Adaptive Attention-based Time-Variant Neural Networks for Multi-step Time Series Forecasting
+

Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan

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+ NeurIPS | 2023 +

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

Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, Huaiyu Wan

+
+ + +
+ +
+ * Equal Contribution +
+
+ +
+ + + + + + + + + + + \ No newline at end of file diff --git a/templates/base.html b/templates/base.html index bd245b6..29cd8ea 100644 --- a/templates/base.html +++ b/templates/base.html @@ -5,13 +5,17 @@ {% block title %}Yan Lin{% endblock %} - - - - - + + + + + + + + + {% block extra_head %}{% endblock %}