Final-year PhD · Time-Series Intelligence

Junru Zhang 张君如

PhD Student @ ZJU & Visiting @ NTU

  • LLMs for Time Series
  • Time Series Analysis
  • Generative Models
  • Transfer Learning
  • Federated Learning
Portrait of Junru Zhang
Zhejiang UniversityNanyang Technological University

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

Multimodal LLMs · Reinforcement Learning

TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning

Junru Zhang*, Lang Feng*, Xu Guo, Yuhan Wu, Yabo Dong, Duanqing Xu

Selected Publications

* co-first · † corresponding

KDD · Oral2026 · CCF A

Federated Domain Generalization for Time-Series Classification via Dynamics-to-Domain Generation

Haoran Shi*, Junru Zhang*†, Xiaoli Tang, Yifei Zhang, Hao Zhu, Yabo Dong, Lizhen Cui, Han Yu

ICML2026 · CCF A

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection

Junru Zhang, Lang Feng, Haoran Shi, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu

WWW · Oral2026 · CCF A

FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification

Haoran Shi*, Junru Zhang*†, Cheng Peng, Xiaoli Tang, Longtao Huang, Han Yu

ACL · Oral2026 · CCF A

A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting

Yu Lei, Zixuan Wang, Yiqing Feng, Junru Zhang, Yahui Li, Liu Chu, Tongyao Wang, Dongyang Li

KDD · Oral2025 · CCF A

Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification

Junru Zhang, Lang Feng, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu

IEEE Transactions on Mobile Computing2025 · CCF A

DI2SDiff++: Activity Style Decomposition and Diffusion-Based Fusion for Cross-Person Generalization in Activity Recognition

Junru Zhang, Cheng Peng, Zhidan Liu, Lang Feng, Yabo Dong, Duanqing Xu

KDD · Oral2024 · CCF A

Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition

Junru Zhang, Lang Feng, Zhidan Liu, Yuhan Wu, Yang He, Yabo Dong, Duanqing Xu

CIKM · Oral2023 · CCF B

Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain

Junru Zhang, Lang Feng, Yang He, Yuhan Wu, Yang He, Yabo Dong

ECML-PKDD · Oral2023 · CCF B

Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification

Junru Zhang, Lang Feng, Haowen Zhang, Yuhan Wu, Yabo Dong

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)