Spatio-Temporal Data Mining
Representation learning, similarity modeling, and prediction for trajectories, events, and structured temporal data.
Zhichen Lai 赖志宸
I'm a Researcher.
About
Associate Research Professor, Fuzhou University, China.
Zhichen Lai (赖志宸) is an Associate Research Professor in the College of Computer Science and Big Data, Fuzhou University, China, and a member of the Fujian Key Laboratory of Network Computing and Intelligent Information Processing. He was selected for the China's Ministry of Education Overseas Talent Program (教育部海外引才计划) in 2025. He currently leads the Data Intelligence and Interdisciplinary Information Group (DIG@FZU).
He received his Ph.D. in Computer Science from Aalborg University (AAU), Denmark, in early 2025, where he also served as a Research Fellow. At AAU, he was advised by MAE and ACM/IEEE Fellow Professor Christian S. Jensen, Dalin Zhang, Huan Li, and Hua Lu.
He was also a Junior Visiting Research Fellow at the University of New South Wales (UNSW) in 2024. He received his M.S. in Computer Science from Sichuan University (SCU) in 2021 under the supervision of Prof. Jiancheng Lv, and his B.S. in Computer Science from the University of Electronic Science and Technology of China (UESTC) in 2018.
Research Areas
My work focuses on data mining and machine learning for structured temporal and spatial data, with an emphasis on methods that remain useful in real-world settings.
Time Series and Sensory Data Analytics
Forecasting, imputation, and robust modeling for correlated multivariate time series collected from real sensing systems.
Efficient AI Systems
Resource-aware learning and inference methods for models that need to be both effective and deployable.
GeoAI
Geospatial intelligence for understanding movement, places, and human activity through data-driven methods.
AI for Dental Medicine
Applied machine learning for clinical decision support and intelligent workflows in oral medicine and dentistry through interdisciplinary collaboration.
AI for Environmental Science
Learning-based tools for environmental observations and related scientific questions where data, space, and time interact.
Representative Publications
01
AAAI 2026
Oral
CCF-A
MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity
2026
02
IEEE TKDE
CCF-A
CAS Q1
JCR Q1
Lightweight Correlated Time Series Forecasting Enhanced with Model Distillation
2025
03
SIGKDD 2024
Oral
CCF-A
ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions
2024
04
WWW 2024
Oral
CCF-A
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
2024
05
SIGMOD 2023
Oral
CCF-A
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
2023
Programs
China's Ministry of Education Overseas Talent Program
教育部海外引才计划
Active
Qishan Scholar Program (Overseas Talent Introduction), Fuzhou University
福州大学旗山学者计划（海外项目）
Upcoming
Organizations
Associate Research Professor
Ph.D. in Computer Science & Research Fellow
Junior Visiting Research Fellow
M.S. in Computer Science
B.S. in Computer Science
High School · Science Track
Prospective Students
I welcome inquiries from prospective master's students and undergraduate research interns at Fuzhou University, especially first- and second-year undergraduates. If your interests align with the group's research, please email me.
What I Value
- Initiative Curiosity, self-motivation, and the habit of working through problems independently.
- Programming A solid coding background; experience with machine learning or deep learning is a plus.
- Communication Clear communication in both Chinese and English, and a willingness to discuss ideas openly.
- Ambition An interest in careful, high-quality work; students considering a Ph.D. are especially welcome.
You do not need to be strong in every dimension. Commitment, consistency, and growth matter more than a polished CV.
What You Can Expect
- Focus Projects are developed jointly within the group's broader agenda, with room for new ideas and initiative.
- Mentorship Close guidance on coding, experiments, reading, and academic writing, with the goal of helping you become independent quickly.
- Support Research can be difficult at times. I encourage early communication and steady problem-solving rather than silent struggle.
- Environment The group provides solid resources and a supportive environment, and I am happy to advise students considering graduate study or a longer research path.
The goal is simple: that your time in the group is demanding, productive, and ultimately worth it.
Contact
zhla ατ cs.aau.dk · lzc ατ fzu.edu.cn
Please replace “ατ” with “@” when writing.
Office
Room 302, Building No. 2, College of Computer Science and Big Data, Fuzhou University, Minhou, Fuzhou, Fujian, China
Affiliation
Associate Research Professor, College of Computer Science and Big Data, Fuzhou University