Activities
University-level courses I teach, covering lectures, literatures, exercises, and exam assessments.
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.
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.
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.
AMDEN: Amorphous Materials DEnoising Network
Jonas A. Finkler*, Yan Lin*, Morten M Smedskjaer, Tao Du, Jilin Hu
AMDEN: Amorphous Materials DEnoising Network
Yan Lin*, Jonas A. Finkler*, Tao Du, Morten M. Smedskjaer, Jilin Hu
Self-supervised Learning of Trajectory Data
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
Origin-Destination Travel Time Oracle for Map-based Services
Self-supervised Learning of Spatial-temporal Trajectories
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction
* Equal Contribution