Profile photo

Junru Zhang (张君如)

PhD Student @ ZJU & Visiting @ NTU

  • LLMs for Time Series
  • Time Series Analysis
  • Generative Models
  • Transfer Learning

About Me

I am currently pursuing my Ph.D. at 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.

My primary research interests lie in sensor-based time series data mining, specifically focusing on the development of large language models (LLMs) for time series, generative models, and transfer learning.

Preprints

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

Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification
Junru Zhang, Lang Feng, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu
KDD 2025, Oral
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
IEEE Transactions on Mobile Computing 2025
Affirm: Interactive mamba with adaptive fourier filters for long-term time series forecasting
Yuhan Wu, Xiyu Meng, Huajin Hu,Junru Zhang, Yabo Dong, Dongming Lu
AAAI 2025
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
KDD 2024, Oral
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
CIKM 2023, Oral
Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification
Junru Zhang, Lang Feng, Haowen Zhang, Yuhan Wu, Yabo Dong
ECML-PKDD 2023, Oral

For a complete list of publications, please refer to my Google Scholar profile.