Zhichen Lai 赖志宸

Dr. Zhichen Lai is an Associate Professor at the College of Computer and Data Science, Fuzhou University, China. He is also affiliated with the Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing and was selected for the China’s Ministry-Level Overseas Talent Introduction Program in 2025.

Previously, he held a postdoctoral position with Prof. Hua Lu. He received his Ph.D. in Computer Science from Aalborg University in 2025, with his doctoral studies supervised by Prof. Christian S. Jensen (ACM/IEEE Fellow, MAE), Prof. Dalin Zhang, and Prof. Huan Li. In 2024, he served as a Junior Visiting Research Fellow at UNSW Sydney. Prior to this, he obtained his M.S. in Computer Science from Sichuan University in 2021, under the guidance of Prof. Jiancheng Lv, following his B.S. in Computer Science from UESTC in 2018.

His research interests include:

• Spatio-Temporal Edge Intelligence
• Lightweight Deep Learning
• IoT Data Mining
• AI-Driven Digital Orthodontics (with Prof. Linyu Xu’s Group, Department of Orthodontics, FJMU)

Selected Recent Publications

1. Lai, Z. et al. MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity. AAAI 2026 (Oral, CCF-A).

2. Lai, Z. et al. Lightweight Correlated Time Series Forecasting Enhanced with Model Distillation. IEEE Transactions on Knowledge and Data Engineering 2024 (CCF-A, CAS Q1, JCR Q1).

3. Lai, Z. et al. ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions. SIGKDD 2024 (Oral, CCF-A).

4. Lai, Z. et al. E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series. WWW 2024 (Oral, CCF-A).

5. Lai, Z. et al. LightCTS: A Lightweight Framework for Correlated Time Series Forecasting. SIGMOD 2023 (Oral, CCF-A).

For more publications, please refer here.

Service

Reviewer/PC Member

• Conferences: ICLR 2026/2025, AAAI 2026/2025/2024, SIGKDD 2025/2024, CIKM 2024/2023, ICDM, SIGSPATIAL, IEEE BigData, DSAA 2022, HDIS 2022…
• Journals: IEEE TIFS, IEEE TASE, IEEE TNNLS, IEEE TBD, ESWA, Ocean Engineering…

致福州大学意向学生

本人致力于时空大数据智能分析及其云边协同机制的研究。长期寻找自驱力强、笃志科研并善于灵活变通的研究生和计划海外深造或参加保研的本科生。本人注重对学生的系统性科研训练，致力于在科研探索中实现师生共进、教学相长。此外，本人与国内外顶尖学府保持紧密的课题合作（如丹麦奥尔堡大学, 浙江大学等），可提供国际化的学术视野与深造机会。