✨ About Me
I am a first-year Ph.D. student in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology in Clear Water Bay, Hong Kong, advised by Prof. James Kwok. Before starting my Ph.D., I received an MPhil degree in Data Science and Analytics from the Hong Kong University of Science and Technology (Guangzhou) (advised by Prof. Yuxuan Liang) and my Bachelor's degree from Beijing University of Technology (advised by Prof. Gengyu Lyu).
My research focuses on efficient representation learning for regular and irregular multivariate time series and spatiotemporal data. I am particularly interested in structure-aware models that combine time-frequency transformations, event-driven computation, and physical priors for forecasting real-world systems, including telemetry and climate.
🔥 News
- Sep 2026: Glad to receive a SIGIR Student Travel Grant! See you in Rome at CIKM 2026.
- Sep 2026: Started a new chapter as a Ph.D. student at HKUST in Clear Water Bay.
- Aug 2026: One paper on time series forecasting accepted at CIKM 2026.
- May 2026: Passed my MPhil thesis defense, with heartfelt thanks to the wonderful people I met at HKUST(GZ).
- Jan 2026: One paper on time series forecasting accepted at ICASSP 2026.
- Nov 2025: One paper on time series forecasting accepted at KDD 2026.
- Nov 2025: Two papers on spatio-temporal forecasting and time series forecasting accepted at AAAI 2026.
- May 2025: Invited talk on deep time series forecasting with time-frequency transformations at BJUT.
- Aug 2024: Started my MPhil journey at the Hong Kong University of Science and Technology (Guangzhou).
- Jul 2024: Graduated from Beijing University of Technology.
- Apr 2024: One paper (SDformer) accepted at IJCAI 2024 as a Long Oral.
📝 Publications
The full list is available on Google Scholar. * equal contribution; † corresponding author.
[CIKM’26] Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting, Ziyu Zhou, Jiaxi Hu, Qingsong Wen, James T. Kwok, and Yuxuan Liang†. In ACM International Conference on Information and Knowledge Management (CIKM), 2026.
[AAAI’26] Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting, Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James Kwok, and Yuxuan Liang†. In 40th AAAI Conference on Artificial Intelligence, 2026.
[KDD’26] How to Train Your Mamba for Time Series Forecasting, Jiaxi Hu, Disen Lan, Ziyu Zhou, Gefeng Luo, Qingsong Wen, and Yuxuan Liang†. In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026.
[ICASSP’26] Toward Non-Parameterized Time Series Embedding for Efficient Forecasting: A Dynamical System Perspective, Jiaxi Hu, Ziyu Zhou, Xiaoliang Luo, Bowen Zhang, Lvchun Wang, Wei Yu, Qingsong Wen, Fugee Tsung, and Yuxuan Liang†. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026.
[Preprint] SOON: Symmetric Orthogonal Operator Network for Global Subseasonal-to-Seasonal Climate Forecasting, Ziyu Zhou, Tian Zhou, Shiyu Wang, James Kwok, and Yuxuan Liang†. In arXiv preprint, 2026.
[Preprint] SEDformer: Event-Synchronous Spiking Transformers for Irregular Telemetry Time Series Forecasting, Ziyu Zhou, Yuchen Fang, Weilin Ruan, Shiyu Wang, James Kwok, and Yuxuan Liang†. In arXiv preprint, 2026.
[IJCAI’24 Long Oral] SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting, Ziyu Zhou, Gengyu Lyu†, Yiming Huang, Zihao Wang, Ziyu Jia, and Zhen Yang. In International Joint Conference on Artificial Intelligence (IJCAI), 2024.
[PRICAI’23 Oral] STFM: Enhancing Autism Spectrum Disorder Classification Through Ensemble Learning-Based Fusion of Temporal and Spatial fMRI Patterns, Ziyu Zhou*, Yiming Huang*, Yining Wang*, and Yin Liang†. In Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2023.
📖 Education
2026 – Present, Ph.D. in Computer Science, The Hong Kong University of Science and Technology.
2024 – 2026, MPhil in Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou).
2020 – 2024, B.Eng. in Computer Science and Technology (Honours), Beijing University of Technology.
💻 Internships
🎖 Selected Awards
- 2026, Postgraduate Studentship (PGS) in HKUST.
- 2024, Outstanding Graduate Thesis in Beijing (Top 0.7%).
- 2024, Outstanding Graduate in Beijing (Top 5%).
- 2024, B.Eng. Honours Degree in Computer Science and Technology (Top 5%).
- 2021, Scholarship, School of Computer Science, BJUT.
💬 Academic Service
- Conference Reviewer / Program Committee Member:
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2026 –
- ACM International Conference on Information and Knowledge Management (CIKM): 2026
- IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): 2025
- European Conference on Artificial Intelligence (ECAI): 2025
- International Joint Conference on Neural Networks (IJCNN): 2025
- Journal Reviewer:
- Machine Learning
- Frontiers of Computer Science
- Neurocomputing
🤝 Collaborators
I am fortunate to collaborate with:
- Yuchen Fang — University of Electronic Science and Technology of China
- Yanyun Wang — The Chinese University of Hong Kong
- Weilin Ruan — The Chinese University of Hong Kong
- Yiming Huang — The Hong Kong University of Science and Technology
- Zihao Wang — The Hong Kong University of Science and Technology
🏔 EBC Trek 2027
I'm planning to trek to Everest Base Camp (EBC) in Nepal in 2027. If you're interested in teaming up, please add me on WeChat.