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Zhichen Lai, Ph.D.

Department of Computer Science, Aalborg University
3.2.42, Selma Lagerlöfs Vej 300 DK-9220, Aalborg Øst, Denmark zhla#cs.aau.dk ryanlai.cs#gmail.com


Dr. Zhichen Lai earned his Ph.D. in Computer Science from Aalborg University in 2025, supervised by MAE and ACM/IEEE Fellow Prof. Christian S. Jensen, Prof. Dalin Zhang, and Prof. Huan Li.

In 2024, he was a Junior Visiting Research Fellow at the School of Computer Science and Engineering, the University of New South Wales. He obtained his M.S. in Computer Science from Sichuan University 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 in 2018.

His research interests include:

First-authored Publication

  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. (2024). FreqICE: Efficient Blade Icing Detection on Wind Turbines via Frequency Learning. IEEE Sensors Journal (JCR Q1).

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

  7. Lai, Z. et al. (2020). Arbitrary Chinese Font Generation from a Single Reference. IJCNN 2020 (CORE-A).

  8. Lai, Z. et al. (2019). Multi-view Image Generation by Cycle CVAE-GAN Networks. ICONIP 2019 (CORE-A).

For the other publications, please refer here.

Talk

Service

Reviewer/PC Member