From 4bbde1e96b14235d3277a3b3f14c99ce51b41248 Mon Sep 17 00:00:00 2001 From: Yan Lin Date: Mon, 2 Feb 2026 12:24:41 +0100 Subject: [PATCH] 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
    • + +
+
+
+ + + + +
+ + + + + + + + + \ 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
+
+ +
+
+ +
+ + + + + + + + + \ 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.

+
+ + +
+
+ +
+ + + + + + + + + \ 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 +
+
+ +
+ + + + + + + + + \ 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.

+ +
+ +
+
+ +
+ + + + + + + + + \ No newline at end of file