Zhichen Lai 赖志宸

Research in Spatio-Temporal Data Mining.

About

I am an Associate Research Professor at the College of Computer and Data Science, Fuzhou University, China, and a member of the Fujian Key Laboratory of Network Computing and Intelligent Information Processing, where I work under the mentorship of Professor Xing Chen. I lead the Data Intelligence and Interdisciplinary Information Group (DIG@FZU), and my research focuses on spatio-temporal data mining, GeoAI, efficient deep learning, and AI for science and health.

In 2025, I was selected for the Ministry of Education's National Overseas Talent Recruitment Program (教育部国家海外引才专项); in 2026, I received a Young Scientists Fund (Category C, 国自然青C) grant from the National Natural Science Foundation of China (NSFC) as principal investigator.

I received my Ph.D. in Computer Science from Aalborg University (AAU) in 2025. My doctoral advisors were Professors Christian S. Jensen (a Member of Academia Europaea and a Fellow of both ACM and IEEE), Dalin Zhang, and Huan Li. I also conducted research under the supervision of Professor Hua Lu, serving as a Research Fellow. In 2024, I was a Junior Visiting Research Fellow at the University of New South Wales (UNSW), supervised by Professors Lina Yao and Dong Gong.

I earned my M.S. in Computer Science from Sichuan University (SCU) in 2021 under Professor Jiancheng Lv, and my B.S. in Computer Science from the University of Electronic Science and Technology of China (UESTC) in 2018.

Representative Publications

00
IEEE TKDE CCF-A CAS Q1 JCR Q1

Impute On-Demand: Adaptive Correlated Time Series Imputation for Changing Environments

Zhichen Lai, Huan Li, Dalin Zhang, Dong Gong, Lina Yao, Christian S. Jensen

2026
01
AAAI 2026 Oral (Top 1.2%) CCF-A

MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity

Zhichen Lai, Hua Lu, Huan Li, Jialiang Li, Christian S. Jensen

2026
02
IEEE TKDE CCF-A CAS Q1 JCR Q1

Lightweight Correlated Time Series Forecasting Enhanced with Model Distillation

Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao

2025
03
SIGKDD 2024 Oral CCF-A

ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions

Zhichen Lai, Dalin Zhang, Huan Li, Dongxiang Zhang, Hua Lu, Christian S. Jensen

2024
04
WWW 2024 Oral (Top 9.4%) CCF-A

E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series

Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen

2024
05
SIGMOD 2023 Oral CCF-A

LightCTS: A Lightweight Framework for Correlated Time Series Forecasting

Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao

2023

Projects & Awards

01
MOE Talent Program PI

Ministry of Education's National Overseas Talent Recruitment Program

教育部国家海外引才专项 · 主持

2026–2029
02
NSFC Category C PI

Research on Key Technologies for Cloud-Edge Collaborative Evolution of Correlated Time Series

面向关联时间序列的云边协同演化关键技术研究 · 国家自然科学基金青年科学基金项目(C 类) · 主持

2027–2029
03
Fujian Category C

Fujian Provincial High-Level Talent Program (Category C)

福建省高层次人才(C 类)

2026
04
FZU Overseas Talent

Qishan Scholar Program (Overseas Talent Introduction), Fuzhou University

福州大学旗山学者计划(海外项目)

2029–2034

Experience

Associate Research Professor
2025–
Current
Ph.D. in Computer Science · Research Fellow
2021–2025
Junior Visiting Research Fellow
2024
M.S. in Computer Science
2018–2021
2014–2018
High School · Science Track
2011–2014

Contact

Email

zhla ατ cs.aau.dk

lzc ατ fzu.edu.cn

Replace “ατ” with “@” in both addresses.

Office

Room 302, Building No. 2, College of Computer and Data Science, Fuzhou University, Minhou, Fuzhou, Fujian, China

© 2026 Zhichen Lai. All rights reserved.