Researching intelligent models for real-world time series.
I am currently pursuing my final-year Ph.D. in the Department of Computer Science and Technology at Zhejiang University, where I began my program in the fall of 2021. I am fortunate to be under the supervision of Prof. Duanqing Xu and Prof. Yabo Dong. Moreover, I am currently visiting the College of Computing and Data Science at Nanyang Technological University, under the supervision of Prof. Han Yu (since December 2024).
My primary research interests lie in sensor-based time-series data mining (e.g., EEG, ECG, and human activity recognition), with a focus on developing large language models (LLMs) for time-series analysis, generative modeling, federated learning, and transfer learning.
Preprint · * co-first
Current work
Selected Publications
* co-first · † corresponding
Federated Domain Generalization for Time-Series Classification via Dynamics-to-Domain Generation
AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection
FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification
A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting
Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification
DI2SDiff++: Activity Style Decomposition and Diffusion-Based Fusion for Cross-Person Generalization in Activity Recognition
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain
Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification
For a complete list of publications, please refer to my Google Scholar profile .
Academic Services
Program Committee (PC) Member
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025
- AAAI Conference on Artificial Intelligence (AAAI) 2025
- IEEE International Conference on Multimedia and Expo (ICME) 2025
- ACM International Conference on Information and Knowledge Management (CIKM) 2024
Reviewer
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- IEEE Transactions on Industrial Informatics (TII)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)