Activities

University-level courses I teach, covering lectures, literatures, exercises, and exam assessments.

Aalborg University | 2025 - 2026 Literature Slides

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.


Student projects I supervise, covering project proposals, problem definition, design choices, and final delivery.

Aalborg University | 2026 Proposal Slides

Trajectory Representation Learning that Generalizes Across Regions, Modes, and Tasks

A Master's semester project on learning trajectory representations that generalize across tasks, geographic regions, and transportation modes, modeling vehicle and vessel trajectories relative to road networks and sea depth contours and handling their widely varying sampling intervals.

Aalborg University | 2026 Proposal Slides

Assessment of the Data Foundation for Trajectory Machine Learning

A Master's semester project on bringing a data-centric perspective to trajectory machine learning, assessing the quality of training data and developing filtering and augmentation methods to improve model performance on downstream tasks.

Aalborg University | 2025 - 2026 Proposal

A Camera That Sees Behind

A Bachelor's semester project on developing a computationally lightweight model deployable on embedded devices to remove humans from images or video feeds, serving as a prototype GDPR-compliant surveillance system.


Oral presentations, tutorials, and guest lectures delivered at international conferences and universities.

IJCAI | Oral presentation | 2026 Slides

DiSGMM: A Method for Time-varying Microscopic Weight Completion on Road Networks

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

NeurIPS | Workshop | 2025 Paper

AMDEN: Amorphous Materials DEnoising Network

Jonas A. Finkler*, Yan Lin*, Morten M Smedskjaer, Tao Du, Jilin Hu

PNCS17 | Oral presentation | 2025 Slides

AMDEN: Amorphous Materials DEnoising Network

Yan Lin*, Jonas A. Finkler*, Tao Du, Morten M. Smedskjaer, Jilin Hu

Aalborg University | Guest lecture | 2024

Self-supervised Learning of Trajectory Data

KDD | Workshop | 2024 Paper

PLM4Traj: Leveraging Pre-trained Language Models for Cognizing Movement Patterns and Travel Purposes from Trajectories

Zeyu Zhou*, Yan Lin*, Haomin Wen, Qisen Xu, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan

SIGMOD | Oral presentation | 2024

Origin-Destination Travel Time Oracle for Map-based Services

SpatialDI | Tutorial | 2024

Self-supervised Learning of Spatial-temporal Trajectories

AAAI | Oral presentation | 2021

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

* Equal Contribution