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Yan Lin's Page

I'm a Computer Science Researcher

  • Data Mining
  • Deep Learning
  • AI for Science
  • Fun and Practical Dev. Projects
What I do

I perform computer science researches, majorly on data mining and deep learning

I received the B.S. degree in computer science from Beijing Jiaotong University, China in June 2019.

I was in Aalborg University, Denmark from Sep. 2022 to Oct. 2023 as a visiting Ph.D., supported by the China Scholarship Council (CSC).

I received the Ph.D. degree in computer science from Beijing Jiaotong University, China in March 2024.

I am currently a Post-Doc. in the DAISY group, Aalborg University, Denmark.

My Research Interests

Spatio-temporal Data Mining

Discovering patterns and relationships in data that is both spatial (relating to location) and temporal (relating to time), using techniques that analyze both these dimensions to extract useful insights and predictions.

Trajectory Data Mining

Analyzing and extracting valuable patterns from data that represents the movement of objects through space over time, such as the paths taken by mobile devices, vehicles, or animals. In turn, the extracted patterns can power tasks such as movement prediction, anomaly detection, traffic analysis, map services, and so on.

Representation Learning

Developing algorithms that enable a model to identify and encode the underlying patterns and structures in data, transforming raw data into a more useful, abstract representation that can improve performance on tasks like classification, prediction, and anomaly detection.

My Mentors & Collaborators

Huaiyu Wan

Professor

Youfang Lin

Professor

Shengnan Guo

Associate Professor

Jilin Hu

Professor

Bin Yang

Professor

Prof. Wan received the Ph.D. degree in computer science and technology from Beijing Jiaotong University, Beijing, China, in 2012.
He is a Professor with the School of Computer and Information Technology, Beijing Jiaotong University. His current research interests focus on spatio-temporal data mining, social network mining, information extraction, and knowledge graph.

Prof. Lin received the Ph.D. degree in signal and information processing from Beijing Jiaotong University, Beijing, China, in 2003.
He is a Professor with the School of Computer and Information Technology, Beijing Jiaotong University. His main fields of expertise and current research interests include big data technology, intelligent systems, complex networks, and traffic data mining.

Shengnan Guo received the Ph.D. degree in computer science from Beijing Jiaotong University, Beijing, China, in 2021.
She is an associate professor at the School of Computer and Information Technology, Beijing Jiaotong University. Her research interests focus on spatial-temporal data mining and intelligent transportation systems.

Prof. Hu received the Ph.D. degree in computer science from Aalborg University, Aalborg, Denmark in 2019.
He is a Professor at the School of Data Science and Engineering, East China Normal University. His research interests include spatio-temporal data analytics and transportation data mining.

Prof. Yang received the Ph.D. degree in computer science from Fudan University, Shanghai, China in 2010.
He is a Professor at the School of Data Science and Engineering, East China Normal University. His research interests include spatio-temporal data analytics, machine learning, and data management.

Prof. Jensen received the Ph.D. degree from Aalborg University in 1991 after 2 1/2 years of study at University of Maryland, and he received the Dr.Techn. degree from Aalborg University in 2000.
He is a Professor at the Department of Computer Science, Aalborg University. His research concerns primarily temporal and spatio-temporal data management and analytics, including indexing and query processing, data mining, and machine learning.