Zhichen Lai (赖志宸), Ph.D.

Dr. Zhichen Lai is a Postdoctoral Researcher with Prof. Hua Lu’s group at Aalborg University, Copenhagen. He will join Fuzhou University at the end of 2025.

He received his Ph.D. in Computer Science from Aalborg University in 2025, where he was advised by MAE and ACM/IEEE Fellow Prof. Christian S. Jensen, Prof. Dalin Zhang, and Prof. Huan Li.

During his Ph.D., he was a Junior Visiting Research Fellow at the School of Computer Science and Engineering, the University of New South Wales in 2024, working with Prof. Lina Yao and Prof. Dong Gong. Previously, he obtained his M.S. in Computer Science from Sichuan University in 2021, supervised by National Distinguished Young Scholar Prof. Jiancheng Lv, and his B.S. in Computer Science from the University of Electronic Science and Technology of China in 2018.

His research interests include:

• Spatio-temporal Data Management
• Sensory Data Analytics
• Efficient AI
• AI in Orthodontics

Recent Publications

📧: Corresponding Author

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

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

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

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

5. Lai, Z. et al. (2025). FreqICE: Efficient Blade Icing Detection on Wind Turbines via Frequency Learning. IEEE Sensors Journal (JCR Q1).

6. Jin, Y., Lai, Z.📧 et al. (2025). LightWind: A Lightweight Framework for Efficient Wind Power Forecasting. IEEE Sensors Journal (JCR Q1).

7. Lai, Z. et al. (2022). Multiscale Wavelet-driven Graph Convolutional Network for Blade Icing Detection of Wind Turbines. IEEE Sensors Journal (JCR Q1).

8. Wang, Z., Lai, Z.📧 et al. (2025). Multimodal Deep Learning for Midpalatal Suture Assessment in Maxillary Expansion. FDI World Dental Congress 2025 & Annual Meeting of the Chinese Orthodontic Society 2025.

For more publications, please refer here.

Talk

• Xiamen University, Xiamen, China, Oct 2024.
• The SIGKDD Conference, Barcelona, Spain, August 2024.
• Tianjin University of Technology & Technical University of Denmark, Online, May 2024.
• The Web Conference, Singapore, May 2024.
• The SIGMOD Conference, Seattle, U.S., June 2023.
• Zhejiang University, Hangzhou, China, Mar 2023.
• Xidian University, Online, Feb 2023.

Service

Reviewer/PC Member

• ICLR 2026/2025, AAAI 2026/2025/2024, SIGKDD 2025/2024, IEEE TNNLS, CIKM 2024/2023, ICDM, IEEE TBD, IEEE SPL, SIGSPATIAL, ESWA, IEEE BigData, DSAA 2022, HDIS 2022.