From 8386f8c3c81e7016165ecec656d40865f09baf6c Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Sat, 31 Jan 2026 07:38:09 +0100 Subject: [PATCH 01/10] add license --- LICENSE | 674 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 674 insertions(+) create mode 100644 LICENSE diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..f288702 --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. From 4bbde1e96b14235d3277a3b3f14c99ce51b41248 Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Mon, 2 Feb 2026 12:24:41 +0100 Subject: [PATCH 02/10] commit full pages --- .github/workflows/deploy.yml | 55 --- .gitignore | 3 - dist/index.html | 549 +++++++++++++++++++++++++++++ dist/presentations/index.html | 160 +++++++++ dist/projects/index.html | 225 ++++++++++++ dist/publications/index.html | 640 ++++++++++++++++++++++++++++++++++ dist/teaching/index.html | 93 +++++ 7 files changed, 1667 insertions(+), 58 deletions(-) delete mode 100644 .github/workflows/deploy.yml create mode 100644 dist/index.html create mode 100644 dist/presentations/index.html create mode 100644 dist/projects/index.html create mode 100644 dist/publications/index.html create mode 100644 dist/teaching/index.html diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml deleted file mode 100644 index 9415d7f..0000000 --- a/.github/workflows/deploy.yml +++ /dev/null @@ -1,55 +0,0 @@ -name: Deploy to GitHub Pages - -on: - push: - branches: - - main - -permissions: - contents: read - pages: write - id-token: write - -concurrency: - group: "pages" - cancel-in-progress: false - -jobs: - build: - runs-on: ubuntu-latest - steps: - - name: Checkout - uses: actions/checkout@v4 - - - name: Install uv - uses: astral-sh/setup-uv@v4 - with: - enable-cache: true - - - name: Set up Python - run: uv python install - - - name: Install dependencies - run: uv sync - - - name: Build site - run: uv run python generate.py - - - name: Setup Pages - uses: actions/configure-pages@v5 - - - name: Upload artifact - uses: actions/upload-pages-artifact@v3 - with: - path: './dist' - - deploy: - environment: - name: github-pages - url: ${{ steps.deployment.outputs.page_url }} - runs-on: ubuntu-latest - needs: build - steps: - - name: Deploy to GitHub Pages - id: deployment - uses: actions/deploy-pages@v4 diff --git a/.gitignore b/.gitignore index fd057e7..9b42106 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1 @@ -dist/*.html -dist/*/index.html -dist/.nojekyll .direnv/ diff --git a/dist/index.html b/dist/index.html new file mode 100644 index 0000000..315a8b3 --- /dev/null +++ b/dist/index.html @@ -0,0 +1,549 @@ + + + + + + + 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 +

+
+ + View All + +
+
+
+
+
+

+ 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

+
+
+
+
+
+
+

+ 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

+
+
+
+
+ * Equal Contribution +
+
+ + + +
+
+

+ Projects +

+
+ + View All + +
+
+
+
+
+

+ 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 +

+
+ + View All + +
+
+
+
+

+ 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 +

+
+ + View All + +
+
+
+
+

+ 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
+
+
+
+ + + +
+

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
    • + +
+
+
+ + + + +
+ +
+
+

+ © 2026 - Designed and implemented by Yan Lin. +

+
+
+ + + + + + + \ No newline at end of file diff --git a/dist/presentations/index.html b/dist/presentations/index.html new file mode 100644 index 0000000..8ce9fc4 --- /dev/null +++ b/dist/presentations/index.html @@ -0,0 +1,160 @@ + + + + + + + Yan Lin's Presentations + + + + + + + + + + + + + + +
+ +
+ +
+
+ + + + + + + +
+
+ +
+
+ + + +
+
+ + +
+ + +
+
+ +
+
+

+ 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
+
+ +
+
+

+ Paper Oral | AAAI 2021 +

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

+ © 2026 - Designed and implemented by Yan Lin. +

+
+
+ + + + + + + \ No newline at end of file diff --git a/dist/projects/index.html b/dist/projects/index.html new file mode 100644 index 0000000..dc0cf68 --- /dev/null +++ b/dist/projects/index.html @@ -0,0 +1,225 @@ + + + + + + + Yan Lin's Projects + + + + + + + + + + + + + + +
+ +
+ +
+
+ + + + + + + +
+
+ +
+
+ + + +
+
+ + + +
+ + +
+
+ + +
+
+

+ 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.

+
+ + +
+
+ +
+ +
+
+

+ © 2026 - Designed and implemented by Yan Lin. +

+
+
+ + + + + + + \ No newline at end of file diff --git a/dist/publications/index.html b/dist/publications/index.html new file mode 100644 index 0000000..1b046c5 --- /dev/null +++ b/dist/publications/index.html @@ -0,0 +1,640 @@ + + + + + + + Yan Lin's Publications + + + + + + + + + + + + + + +
+ +
+ +
+
+ + + + + + + +
+
+ +
+
+ + + +
+
+ + + +
+ + +
+
+ + +
+
+

+ 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

+
+ + + +
+
+

+ WWW | 2025 +

+
+ + Paper + + Code + +
+
+
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

+
+ + + +
+
+

+ AAAI | 2025 +

+
+ + Paper + + Preprint + +
+
+
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

+
+ + + +
+
+

+ NeurIPS | 2024 +

+
+ + 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

+
+ + + +
+
+

+ IEEE TKDE | 2022 +

+
+ + Paper + + Code + +
+
+
Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories
+

Huaiyu Wan, Yan Lin, Shengnan Guo, Youfang Lin

+
+ + + +
+
+

+ 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

+
+ + +
+
+
+ + +
+
+

+ 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

+
+ + + +
+
+

+ KBS | 2024 +

+
+ + Paper + + Code + +
+
+
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

+
+ + + +
+
+

+ IEEE TKDE | 2024 +

+
+ + Paper + + 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

+
+ + + +
+
+

+ AAAI | 2023 +

+
+ + 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

+
+ + + +
+
+

+ ESWA | 2023 +

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

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

+
+ + + +
+
+

+ APIN | 2023 +

+
+ + Paper + +
+
+
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

+
+ + + +
+
+

+ NeurIPS | 2023 +

+
+ + Paper + + Code + +
+
+
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 +
+
+ +
+ +
+
+

+ © 2026 - Designed and implemented by Yan Lin. +

+
+
+ + + + + + + \ No newline at end of file diff --git a/dist/teaching/index.html b/dist/teaching/index.html new file mode 100644 index 0000000..3f9eccf --- /dev/null +++ b/dist/teaching/index.html @@ -0,0 +1,93 @@ + + + + + + + Yan Lin's Teaching + + + + + + + + + + + + + + +
+ +
+ +
+
+ + + + + + + +
+
+ +
+
+ + + +
+
+ + +
+ + +
+
+ +
+
+

+ 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.

+ +
+ +
+
+ +
+ +
+
+

+ © 2026 - Designed and implemented by Yan Lin. +

+
+
+ + + + + + + \ No newline at end of file From a7786314887909f7fbd8f055106a4e7e9d9e3a4f Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Mon, 2 Feb 2026 13:40:11 +0100 Subject: [PATCH 03/10] move asset location --- {dist/assets => assets}/AAAI21 Oral PPT.pdf | Bin .../KDD_2024_Workshop_PLM4Traj.pdf | Bin {dist/assets => assets}/SIGMOD-Oral-PPT.pdf | Bin .../Self-supervised Learning of Trajectory Data.pdf | Bin {dist/assets => assets}/Talk on SpatialDI 2024.pdf | Bin {dist/assets => assets}/pncs17-slides.pdf | Bin 6 files changed, 0 insertions(+), 0 deletions(-) rename {dist/assets => assets}/AAAI21 Oral PPT.pdf (100%) rename {dist/assets => assets}/KDD_2024_Workshop_PLM4Traj.pdf (100%) rename {dist/assets => assets}/SIGMOD-Oral-PPT.pdf (100%) rename {dist/assets => assets}/Self-supervised Learning of Trajectory Data.pdf (100%) rename {dist/assets => assets}/Talk on SpatialDI 2024.pdf (100%) rename {dist/assets => assets}/pncs17-slides.pdf (100%) diff --git a/dist/assets/AAAI21 Oral PPT.pdf b/assets/AAAI21 Oral PPT.pdf similarity index 100% rename from dist/assets/AAAI21 Oral PPT.pdf rename to assets/AAAI21 Oral PPT.pdf diff --git a/dist/assets/KDD_2024_Workshop_PLM4Traj.pdf b/assets/KDD_2024_Workshop_PLM4Traj.pdf similarity index 100% rename from dist/assets/KDD_2024_Workshop_PLM4Traj.pdf rename to assets/KDD_2024_Workshop_PLM4Traj.pdf diff --git a/dist/assets/SIGMOD-Oral-PPT.pdf b/assets/SIGMOD-Oral-PPT.pdf similarity index 100% rename from dist/assets/SIGMOD-Oral-PPT.pdf rename to assets/SIGMOD-Oral-PPT.pdf diff --git a/dist/assets/Self-supervised Learning of Trajectory Data.pdf b/assets/Self-supervised Learning of Trajectory Data.pdf similarity index 100% rename from dist/assets/Self-supervised Learning of Trajectory Data.pdf rename to assets/Self-supervised Learning of Trajectory Data.pdf diff --git a/dist/assets/Talk on SpatialDI 2024.pdf b/assets/Talk on SpatialDI 2024.pdf similarity index 100% rename from dist/assets/Talk on SpatialDI 2024.pdf rename to assets/Talk on SpatialDI 2024.pdf diff --git a/dist/assets/pncs17-slides.pdf b/assets/pncs17-slides.pdf similarity index 100% rename from dist/assets/pncs17-slides.pdf rename to assets/pncs17-slides.pdf From da4ecd6305286eaa7a2f229bd41dd2aaa37fe609 Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Mon, 2 Feb 2026 15:21:41 +0100 Subject: [PATCH 04/10] fix asset links --- data.yaml | 12 ++++++------ dist/.nojekyll | 0 dist/index.html | 6 +++--- dist/presentations/index.html | 12 ++++++------ flake.nix | 3 +++ 5 files changed, 18 insertions(+), 15 deletions(-) create mode 100644 dist/.nojekyll diff --git a/data.yaml b/data.yaml index 544b34f..e95fe03 100644 --- a/data.yaml +++ b/data.yaml @@ -307,21 +307,21 @@ presentations: - "Oral Presentation" - "PNCS17" links: - Slides: "/assets/pncs17-slides.pdf" + Slides: "https://github.com/Logan-Lin/homepage/blob/main/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" + Slides: "https://github.com/Logan-Lin/homepage/blob/main/assets/Self-supervised%20Learning%20of%20Trajectory%20Data.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" + Slides: "https://github.com/Logan-Lin/homepage/blob/main/assets/KDD_2024_Workshop_PLM4Traj.pdf" Paper: "https://arxiv.org/abs/2405.12459" - title: "Origin-Destination Travel Time Oracle for Map-based Services" @@ -329,21 +329,21 @@ presentations: - "Paper Oral" - "SIGMOD 2024" links: - Slides: "/assets/SIGMOD-Oral-PPT.pdf" + Slides: "https://github.com/Logan-Lin/homepage/blob/main/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" + Slides: "https://github.com/Logan-Lin/homepage/blob/main/assets/Talk%20on%20SpatialDI%202024.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" + Slides: "https://github.com/Logan-Lin/homepage/blob/main/assets/AAAI21%20Oral%20PPT.pdf" services: - "IEEE, ACM member" diff --git a/dist/.nojekyll b/dist/.nojekyll new file mode 100644 index 0000000..e69de29 diff --git a/dist/index.html b/dist/index.html index 315a8b3..14b6c4a 100644 --- a/dist/index.html +++ b/dist/index.html @@ -471,7 +471,7 @@

- Slides + Slides
@@ -483,7 +483,7 @@

- Slides + Slides
@@ -495,7 +495,7 @@

- Slides + Slides Paper diff --git a/dist/presentations/index.html b/dist/presentations/index.html index 8ce9fc4..1fc4fac 100644 --- a/dist/presentations/index.html +++ b/dist/presentations/index.html @@ -60,7 +60,7 @@

- Slides + Slides
@@ -74,7 +74,7 @@

- Slides + Slides
@@ -88,7 +88,7 @@

- Slides + Slides Paper @@ -104,7 +104,7 @@

- Slides + Slides
@@ -118,7 +118,7 @@

- Slides + Slides
@@ -132,7 +132,7 @@

- Slides + Slides
diff --git a/flake.nix b/flake.nix index bf4f33d..b3b036a 100644 --- a/flake.nix +++ b/flake.nix @@ -12,6 +12,9 @@ (writeShellScriptBin "serve" '' python generate.py && python watch.py '') + (writeShellScriptBin "build" '' + python generate.py + '') ]; shellHook = '' uv sync From 54e3135eb0d72b96d161422f542455dfb5368db3 Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Mon, 2 Feb 2026 16:54:25 +0100 Subject: [PATCH 05/10] minor adjust of style --- dist/css/index.css | 390 ++++++++++++++++++++++--------------------- dist/index.html | 7 +- templates/index.html | 7 +- 3 files changed, 199 insertions(+), 205 deletions(-) diff --git a/dist/css/index.css b/dist/css/index.css index 6009ab1..b9fd109 100644 --- a/dist/css/index.css +++ b/dist/css/index.css @@ -79,6 +79,46 @@ ul, ol { margin-bottom: 1rem; } +small { + font-size: 0.875em; +} + +hr { + margin: 1rem 0; + color: var(--text-secondary); + border: 0; + border-top: 1px solid; + opacity: 0.7; +} + +blockquote { + border-left: 4px solid var(--border-color); + margin: 1.5em 0; + padding: 0.5em 1em; + background-color: var(--background-secondary); +} + +blockquote p { + margin: 0; +} + +/* ===== TYPOGRAPHY (Element Styles) ===== */ +h3 { + font-size: 1.75rem; + font-weight: 500; + line-height: 1.2; + margin-top: 0; + margin-bottom: 0.5rem; +} + +h5 { + font-size: 1.25rem; + font-weight: 500; + line-height: 1.2; + margin-top: 0; + margin-bottom: 0.5rem; +} + /* ===== GRID SYSTEM ===== */ .container { --bs-gutter-x: 1.5rem; @@ -177,177 +217,6 @@ ul, ol { } } -/* ===== SPACING UTILITIES ===== */ -.m-0 { margin: 0 !important; } -.mt-1 { margin-top: 0.25rem !important; } -.mt-3 { margin-top: 1rem !important; } -.mt-4 { margin-top: 1.5rem !important; } -.mb-0 { margin-bottom: 0 !important; } -.mb-1 { margin-bottom: 0.25rem !important; } -.mb-3 { margin-bottom: 1rem !important; } -.mb-auto { margin-bottom: auto !important; } -.my-2 { margin-top: 0.5rem !important; margin-bottom: 0.5rem !important; } -.my-4 { margin-top: 1.5rem !important; margin-bottom: 1.5rem !important; } -.mx-2 { margin-left: 0.5rem !important; margin-right: 0.5rem !important; } -.mx-3 { margin-left: 1rem !important; margin-right: 1rem !important; } -.mx-auto { margin-left: auto !important; margin-right: auto !important; } - -.p-4 { padding: 1.5rem !important; } -.px-0 { padding-left: 0 !important; padding-right: 0 !important; } -.py-0 { padding-top: 0 !important; padding-bottom: 0 !important; } -.py-3 { padding-top: 1rem !important; padding-bottom: 1rem !important; } -.pt-3 { padding-top: 1rem !important; } -.pb-0 { padding-bottom: 0 !important; } -.ps-3 { padding-left: 1rem !important; } - -/* ===== DISPLAY UTILITIES ===== */ -.d-none { display: none !important; } -.d-inline { display: inline !important; } -.d-inline-block { display: inline-block !important; } -.d-block { display: block !important; } -.d-flex { display: flex !important; } - -@media (min-width: 768px) { - .d-md-none { display: none !important; } - .d-md-inline { display: inline !important; } - .d-md-block { display: block !important; } -} - -@media (min-width: 992px) { - .d-lg-none { display: none !important; } - .d-lg-inline { display: inline !important; } - .d-lg-inline-block { display: inline-block !important; } - .d-lg-block { display: block !important; } - .d-lg-flex { display: flex !important; } -} - -/* ===== FLEXBOX UTILITIES ===== */ -.flex-column { flex-direction: column !important; } -.flex-nowrap { flex-wrap: nowrap !important; } -.flex-grow-1 { flex-grow: 1 !important; } -.justify-content-between { justify-content: space-between !important; } -.justify-content-end { justify-content: flex-end !important; } -.justify-content-evenly { justify-content: space-evenly !important; } -.align-items-center { align-items: center !important; } - -@media (min-width: 768px) { - .flex-md-row { flex-direction: row !important; } -} - -/* ===== GAP UTILITIES ===== */ -.gap-2 { gap: 0.5rem !important; } -.gap-3 { gap: 1rem !important; } - -@media (min-width: 576px) { - .gap-sm-5 { gap: 3rem !important; } -} - -/* ===== TYPOGRAPHY ===== */ -h3 { - font-size: 1.75rem; - font-weight: 500; - line-height: 1.2; - margin-top: 0; - margin-bottom: 0.5rem; -} - -.h2 { - font-size: 2rem; - font-weight: 500; - line-height: 1.2; - margin: 0; -} - -.h4 { - font-size: 1.5rem; - font-weight: 500; - line-height: 1.2; - margin: 0; -} - -.h5 { - font-size: 1.25rem; - font-weight: 500; - line-height: 1.2; - margin: 0; -} - -h5 { - font-size: 1.25rem; - font-weight: 500; - line-height: 1.2; - margin-top: 0; - margin-bottom: 0.5rem; -} - -.text-center { text-align: center !important; } -.text-start { text-align: left !important; } -.fst-italic { font-style: italic !important; } -.lh-1 { line-height: 1 !important; } - -small { - font-size: 0.875em; -} - -/* ===== COLOR UTILITIES ===== */ -.text-secondary { - color: var(--text-secondary) !important; -} - -.text-muted { - color: var(--text-secondary) !important; -} - -.text-body-emphasis { - color: var(--text-color) !important; -} - -.bg-body-secondary { - background-color: var(--background-secondary) !important; -} - -.link-secondary { - color: var(--text-secondary) !important; - text-decoration: none; -} - -.link-secondary:hover { - color: var(--link-hover-color) !important; -} - -.border-secondary { - border-color: var(--border-color) !important; -} - -/* ===== BORDERS ===== */ -.border { - border: 1px solid var(--border-color) !important; -} - -.border-bottom { - border-bottom: 1px solid var(--border-color) !important; -} - -.rounded { - border-radius: 0.375rem !important; -} - -/* ===== SHADOWS ===== */ -.shadow-sm { - box-shadow: 0 0.125rem 0.25rem var(--shadow-color) !important; -} - -.shadow { - box-shadow: 0 0.5rem 1rem var(--shadow-color) !important; -} - -/* ===== POSITIONING ===== */ -.position-relative { position: relative !important; } -.position-static { position: static !important; } - -/* ===== SIZING ===== */ -.w-100 { width: 100% !important; } - /* ===== NAVIGATION ===== */ .navbar { position: relative; @@ -415,19 +284,9 @@ small { border: 1px solid var(--border-color); } -/* ===== HR ===== */ -hr { - margin: 1rem 0; - color: var(--border-color); - border: 0; - border-top: 1px solid; - opacity: 0.25; -} - /* ===== LINKS ===== */ .link { font-family: var(--link-font-family); - color: var(--link-color); text-decoration: none; } @@ -498,17 +357,6 @@ hr { color: var(--secondary-text); } -blockquote { - border-left: 4px solid var(--border-color); - margin: 1.5em 0; - padding: 0.5em 1em; - background-color: var(--background-secondary); -} - -blockquote p { - margin: 0; -} - footer { margin-top: 0rem; padding: 1rem 0; @@ -539,7 +387,163 @@ footer { } } -/* ===== TRANSITIONS ===== */ .transition-shadow { transition: box-shadow 0.2s ease-in-out; } + +/* ===== UTILITIES (must be last to override component styles) ===== */ + +/* Typography utilities */ +.h2 { + font-size: 2rem; + font-weight: 500; + line-height: 1.2; + margin: 0; +} + +.h4 { + font-size: 1.5rem; + font-weight: 500; + line-height: 1.2; + margin: 0; +} + +.h5 { + font-size: 1.25rem; + font-weight: 500; + line-height: 1.2; + margin: 0; +} + +.text-center { text-align: center; } +.text-start { text-align: left; } +.fst-italic { font-style: italic; } +.lh-1 { line-height: 1; } + +/* Color utilities */ +.text-secondary { + color: var(--text-secondary); +} + +.text-muted { + color: var(--text-secondary); +} + +.text-body-emphasis { + color: var(--text-color); +} + +.bg-body-secondary { + background-color: var(--background-secondary); +} + +.link-secondary { + color: var(--text-secondary); + text-decoration: none; +} + +.link-secondary:hover { + color: var(--link-hover-color); +} + +.border-secondary { + border-color: var(--border-color); +} + +/* Border utilities */ +.border { + border: 1px solid var(--border-color); +} + +.border-bottom { + border-bottom: 1px solid var(--border-color); +} + +header.border-bottom { + border-bottom: 4px double var(--text-secondary); +} + +.rounded { + border-radius: 0.375rem; +} + +/* Shadow utilities */ +.shadow-sm { + box-shadow: 0 0.125rem 0.25rem var(--shadow-color); +} + +.shadow { + box-shadow: 0 0.5rem 1rem var(--shadow-color); +} + +/* Positioning utilities */ +.position-relative { position: relative; } +.position-static { position: static; } + +/* Sizing utilities */ +.w-100 { width: 100%; } + +/* Display utilities */ +.d-none { display: none; } +.d-inline { display: inline; } +.d-inline-block { display: inline-block; } +.d-block { display: block; } +.d-flex { display: flex; } + +@media (min-width: 768px) { + .d-md-none { display: none; } + .d-md-inline { display: inline; } + .d-md-block { display: block; } +} + +@media (min-width: 992px) { + .d-lg-none { display: none; } + .d-lg-inline { display: inline; } + .d-lg-inline-block { display: inline-block; } + .d-lg-block { display: block; } + .d-lg-flex { display: flex; } +} + +/* Flexbox utilities */ +.flex-column { flex-direction: column; } +.flex-nowrap { flex-wrap: nowrap; } +.flex-grow-1 { flex-grow: 1; } +.justify-content-between { justify-content: space-between; } +.justify-content-end { justify-content: flex-end; } +.justify-content-evenly { justify-content: space-evenly; } +.align-items-center { align-items: center; } + +@media (min-width: 768px) { + .flex-md-row { flex-direction: row; } +} + +/* Gap utilities */ +.gap-2 { gap: 0.5rem; } +.gap-3 { gap: 1rem; } + +@media (min-width: 576px) { + .gap-sm-5 { gap: 3rem; } +} + +/* Spacing utilities */ +.m-0 { margin: 0; } +.mt-1 { margin-top: 0.25rem; } +.mt-3 { margin-top: 1rem; } +.mt-4 { margin-top: 1.5rem; } +.mb-0 { margin-bottom: 0; } +.mb-1 { margin-bottom: 0.25rem; } +.mb-3 { margin-bottom: 1rem; } +.mb-auto { margin-bottom: auto; } +.my-2 { margin-top: 0.5rem; margin-bottom: 0.5rem; } +.my-4 { margin-top: 1.5rem; margin-bottom: 1.5rem; } +.mx-2 { margin-left: 0.5rem; margin-right: 0.5rem; } +.mx-3 { margin-left: 1rem; margin-right: 1rem; } +.mx-auto { margin-left: auto; margin-right: auto; } + +.p-4 { padding: 1.5rem; } +.px-0 { padding-left: 0; padding-right: 0; } +.py-0 { padding-top: 0; padding-bottom: 0; } +.py-3 { padding-top: 1rem; padding-bottom: 1rem; } +.pt-3 { padding-top: 1rem; } +.pb-0 { padding-bottom: 0; } +.ps-3 { padding-left: 1rem; } diff --git a/dist/index.html b/dist/index.html index 14b6c4a..5e8c65c 100644 --- a/dist/index.html +++ b/dist/index.html @@ -102,12 +102,7 @@ -
+

Biography - Yan Lin

diff --git a/templates/index.html b/templates/index.html index 50dbd07..a433518 100644 --- a/templates/index.html +++ b/templates/index.html @@ -1,12 +1,7 @@ {% extends 'base.html' %} {% block title %}Yan Lin's Homepage{% endblock %} {% block navigation %} {% include 'partials/navigation.html' %} {% endblock %} {% block content %} -

+

Biography - Yan Lin

From e19f889ee6f18b2a21a7abdc9eb8a7177cbe7354 Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Mon, 2 Feb 2026 17:03:57 +0100 Subject: [PATCH 06/10] minor adjust of list item numbers --- dist/index.html | 60 +++++++++++++++++++++++++++++++++++++++++++- templates/index.html | 14 +++++------ 2 files changed, 66 insertions(+), 8 deletions(-) diff --git a/dist/index.html b/dist/index.html index 5e8c65c..f8004a3 100644 --- a/dist/index.html +++ b/dist/index.html @@ -102,7 +102,7 @@ -

+

Biography - Yan Lin

@@ -219,6 +219,23 @@

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

@@ -305,6 +322,23 @@
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

@@ -497,6 +531,30 @@
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
diff --git a/templates/index.html b/templates/index.html index a433518..e24acf1 100644 --- a/templates/index.html +++ b/templates/index.html @@ -1,7 +1,7 @@ {% extends 'base.html' %} {% block title %}Yan Lin's Homepage{% endblock %} {% block navigation %} {% include 'partials/navigation.html' %} {% endblock %} {% block content %} -
+

Biography - Yan Lin

@@ -28,13 +28,13 @@ block content %}

- {% for pub in data.primaryPublications[:6] %} {% with + {% for pub in data.primaryPublications[:7] %} {% with type='primary' %} {% include 'partials/publication.html' %} {% endwith %} {% endfor %}
- {% for pub in data.secondaryPublications[:6] %} {% with + {% for pub in data.secondaryPublications[:7] %} {% with type='secondary' %} {% include 'partials/publication.html' %} {% endwith %} {% endfor %}
@@ -58,12 +58,12 @@ block content %}
- {% for project in data.primaryProjects[:3] %} {% with type='primary' + {% for project in data.primaryProjects[:5] %} {% with type='primary' %} {% include 'partials/project.html' %} {% endwith %} {% endfor %}
- {% for project in data.secondaryProjects[:3] %} {% with + {% for project in data.secondaryProjects[:5] %} {% with type='secondary' %} {% include 'partials/project.html' %} {% endwith %} {% endfor %}
@@ -81,7 +81,7 @@ block content %}
- {% for teaching in data.teaching[:3] %} {% include + {% for teaching in data.teaching[:5] %} {% include 'partials/teaching.html' %} {% endfor %}
@@ -97,7 +97,7 @@ block content %}
- {% for presentation in data.presentations[:3] %} {% include + {% for presentation in data.presentations[:5] %} {% include 'partials/presentation.html' %} {% endfor %}
From 3a2ede48fb8140995d12a7ab6896e4ac375d34bd Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Wed, 4 Feb 2026 07:44:58 +0100 Subject: [PATCH 07/10] simplify responsive design --- dist/css/index.css | 31 +------------------------------ 1 file changed, 1 insertion(+), 30 deletions(-) diff --git a/dist/css/index.css b/dist/css/index.css index b9fd109..1ee2676 100644 --- a/dist/css/index.css +++ b/dist/css/index.css @@ -123,6 +123,7 @@ h5 { .container { --bs-gutter-x: 1.5rem; width: 100%; + max-width: 1200px; padding-right: calc(var(--bs-gutter-x) * 0.5); padding-left: calc(var(--bs-gutter-x) * 0.5); margin-right: auto; @@ -130,36 +131,6 @@ h5 { flex: 1 0 auto; } -@media (min-width: 576px) { - .container { - max-width: 540px; - } -} - -@media (min-width: 768px) { - .container { - max-width: 720px; - } -} - -@media (min-width: 992px) { - .container { - max-width: 960px; - } -} - -@media (min-width: 1200px) { - .container { - max-width: 1140px; - } -} - -@media (min-width: 1400px) { - .container { - max-width: 1320px; - } -} - .row { --bs-gutter-x: 1.5rem; --bs-gutter-y: 0; From 1683c40dd6524d076a09070e70d7c0b526c26176 Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Wed, 4 Feb 2026 07:51:21 +0100 Subject: [PATCH 08/10] futher adjustment of responsive design --- dist/css/index.css | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/dist/css/index.css b/dist/css/index.css index 1ee2676..e82321b 100644 --- a/dist/css/index.css +++ b/dist/css/index.css @@ -123,7 +123,7 @@ h5 { .container { --bs-gutter-x: 1.5rem; width: 100%; - max-width: 1200px; + max-width: 1320px; padding-right: calc(var(--bs-gutter-x) * 0.5); padding-left: calc(var(--bs-gutter-x) * 0.5); margin-right: auto; @@ -131,6 +131,13 @@ h5 { flex: 1 0 auto; } +@media (min-width: 800px) { + .container { + padding-right: 4rem; + padding-left: 4rem; + } +} + .row { --bs-gutter-x: 1.5rem; --bs-gutter-y: 0; From 09ea2ac54004f7ab23c1a7b218476b123c2cea61 Mon Sep 17 00:00:00 2001 From: Yan Lin 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block extra_head %}{% endblock %} From 292e7354693eb844803ae5c72ccd9c282b0ac64d Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Wed, 18 Feb 2026 08:58:14 +0100 Subject: [PATCH 10/10] minor fix --- dist/.nojekyll | 0 dist/index.html | 604 -------------------------------- dist/presentations/index.html | 162 --------- dist/projects/index.html | 227 ------------ dist/publications/index.html | 642 ---------------------------------- dist/teaching/index.html | 95 ----- generate.py | 4 - 7 files changed, 1734 deletions(-) delete mode 100644 dist/.nojekyll delete mode 100644 dist/index.html delete mode 100644 dist/presentations/index.html delete mode 100644 dist/projects/index.html delete mode 100644 dist/publications/index.html delete mode 100644 dist/teaching/index.html diff --git a/dist/.nojekyll b/dist/.nojekyll deleted file mode 100644 index e69de29..0000000 diff --git a/dist/index.html b/dist/index.html deleted file mode 100644 index ec8ab6a..0000000 --- a/dist/index.html +++ /dev/null @@ -1,604 +0,0 @@ - - - - - - - Yan Lin's Homepage - - - - - - - - - - - - - - - - -
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Biography - Yan Lin

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

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- NeurIPS | 2025 -

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TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
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Yichen Liu*, Yan Lin*, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan

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- NeurIPS | 2025 -

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- - Oral - - Poster - - Preprint - -
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TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
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Tonglong Wei*, Yan Lin*, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan

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- NeurIPS | 2025 -

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- - Poster - - Preprint - -
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PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
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Tonglong Wei*, Yan Lin*, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan

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- IEEE TKDE | 2025 -

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UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
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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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- - Paper - - Preprint - - Code - -
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TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
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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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UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings
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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 -

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Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
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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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- AAAI | 2026 -

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Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
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Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu, Huaiyu Wan

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- KDD | 2025 -

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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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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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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

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- IEEE TKDE | 2024 -

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Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery
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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
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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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- 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
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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
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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
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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
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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
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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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- Teaching -

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- Fall 2025 | Aalborg University -

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AI Systems & Infrastructure
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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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- Oral Presentation | PNCS17 -

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AMDEN: Amorphous Materials DEnoising Network
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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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Services

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  • IEEE, ACM member
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  • Secretary of IEEE (Denmark Section) Computer Society
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  • Reviewer for journals: TKDE, TKDD, TIST, TII, and TVT
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  • Member of program committees of conferences: KDD, ICLR, NeurIPS, AAAI, CVPR, ICCV, IJCAI, WWW, and WACV
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- © 2026 - Designed and implemented by Yan Lin. -

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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 -

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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 -

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

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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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- © 2026 - Designed and implemented by Yan Lin. -

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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.

-
- - - -
-
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- Personal Interest Project -

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

- Personal Interest Project -

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

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- -
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Research on Inverse Design of Materials Using Diffusion Probabilistic Models
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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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- - - -
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- National Natural Science Foundation of China -

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- -
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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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- -
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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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- © 2026 - Designed and implemented by Yan Lin. -

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

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- NeurIPS | 2025 -

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- - Poster - -
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TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
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Yichen Liu*, Yan Lin*, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan

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- NeurIPS | 2025 -

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- - Oral - - Poster - - Preprint - -
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TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
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Tonglong Wei*, Yan Lin*, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan

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- NeurIPS | 2025 -

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- - Poster - - Preprint - -
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PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
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Tonglong Wei*, Yan Lin*, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan

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

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- - - -
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- IJCAI | 2025 -

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- - Paper - - Preprint - - Code - -
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TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
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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 - -
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UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings
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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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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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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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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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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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- AAAI | 2021 -

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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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Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin

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- KDD | 2026 -

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Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
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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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- AAAI | 2026 -

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Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
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Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu, Huaiyu Wan

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- KDD | 2025 -

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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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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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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

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- IEEE TKDE | 2024 -

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Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery
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Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan

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- KBS | 2024 -

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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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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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- © 2026 - Designed and implemented by Yan Lin. -

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- Fall 2025 | Aalborg University -

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AI Systems & Infrastructure
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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)