Yunfeng Ge / 葛云峰
Ph.D. Student
My research focuses on time series analysis and machine learning, with applications in network traffic modeling and workload forecasting. I am particularly interested in non-stationary time series forecasting, time series generation, and event-driven temporal modeling.
I have published papers at top-tier venues including IJCAI. I also serve as a reviewer for premier conferences such as AAAI, KDD, CVPR, ICLR, ICML, and WWW, as well as journals including Neurocomputing and ACM TIST.
Recent News
- [04/2025] Our paper T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models has been accepted by IJCAI 2025 (CORE A*).
- [05/2026] Our paper EventTSF: Event-Aware Non-Stationary Time Series Forecasting has been accepted by IJCAI 2026 (CORE A*).
Education
Ph.D. in Communication Engineering
Xidian University, Xi'an, Shaanxi, China (Sep 2022 – Present)
M.Sc. in Electronic Information
Xidian University, Hangzhou, Zhejiang, China (Sep 2021 – Aug 2022)
B.Sc. in Communication Engineering
Xidian University, Xi'an, Shaanxi, China (Sep 2017 – Jul 2021)
Publications
Honors & Awards
- Outstanding Reviewer Award, Journal of Xidian University
Academic Service
Conference Reviewer
- AAAI Conference on Artificial Intelligence (AAAI) 2026
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026
- International Conference on Learning Representations (ICLR) 2026
- International Conference on Machine Learning (ICML) 2026
- ACM Web Conference (WWW) 2026
- ACM International Conference on Multimedia (MM) 2025
Journal Reviewer
- Neurocomputing
- ACM Transactions on Intelligent Systems and Technology (TIST)
- Knowledge and Information Systems (KAIS)