Zhichen Lai 赖志宸

About Me

My name is Zhichen Lai. I am a final-year Ph.D. Candidate of the Department of Computer Science at Aalborg University (AAU), Denmark, supervised by ACM/IEEE Fellow Prof. Christian S. Jensen, Prof. Dalin Zhang, and Prof. Huan Li.

I was a Junior Visiting Research Fellow at the School of Computer Science and Engineering, the University of New South Wales (UNSW), Australia in 2024. I obtained my master’s degree in Computer Science from Sichuan University (SCU), China, under the supervision of Prof. Jiancheng Lv in 2021. Prior to that, I earned my bachelor’s degree in Computer Science from the University of Electronic Science and Technology of China (UESTC) in 2018.

My research interests include:

• Sensory Data Analytics
• Spatio-temporal Data Management
• AI in Orthodontics
• Image Generation

First-authored Publication

1. Lai, Z., Zhang, D., Li, H., Jensen, C. S., Lu, H., & Zhao, Y. (2024). Lightweight Correlated Time Series Forecasting Enhanced with Model Distillation. IEEE Transactions on Knowledge and Data Engineering (CCF-A, JCR Q1).

2. Lai, Z., Zhang, D., Li, H., Zhang, D., Lu, H., & Jensen, C. S. (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., Li, H., Zhang, D., Zhao, Y., Qian, W., Jensen, C. S., & Zhao, Y. (2024). E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series. WWW 2024 (CCF-A, CORE-A*).

4. Lai, Z., Zhang, D., Li, H., Jensen, C. S., Lu, H., & Zhao, Y. (2023). LightCTS: A Lightweight Framework for Correlated Time Series Forecasting. SIGMOD 2023 (CCF-A, CORE-A*).

5. Lai, Z., Cheng, X., Liu, X. (2022). Multiscale Wavelet-driven Graph Convolutional Network for Blade Icing Detection of Wind Turbines. IEEE Sensors Journal (JCR Q1).

6. Lai, Z., Tang, C., & Lv, J. (2020). Arbitrary Chinese Font Generation from a Single Reference. IJCNN 2020 (CORE-A).

7. Lai, Z., Tang, C., & Lv, J. (2019). Multi-view Image Generation by Cycle CVAE-GAN Networks. ICONIP 2019 (CORE-A).

For the other publications, please refer to my Google Scholar profile.

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.
• Fuzhou University, Fuzhou, China, Jan 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 2025, SIGKDD 2025/2024, AAAI 2025/2024,IEEE TNNLS, CIKM 2024/2023, ICDM, IEEE TBD, IEEE SPL, SIGSPATIAL, ESWA, IEEE BigData, DSAA 2022, HDIS 2022.

Last Updated 2024-10-23