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Junru Zhang (张君如）

PhD Student @ ZJU & Visiting @ NTU

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

Google Scholar

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
Paper Code

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
Paper
Regional Knowledge Transfer for Urban Traffic Flow Prediction via Satellite Imagery Assisted Contrastive Domain Adaptation
Zhidan Liu, Zhengze Sun, Junru Zhang, Bolin Zhang, Panrong Tong
IEEE Transactions on Intelligent Transportation Systems 2025
Semi4TSF: End-to-End Semi-supervised Contrastive Representation Learning for Time Series Forecasting
Yuhan Wu, Xiyu Meng, Junru Zhang, Yabo Dong, Dongming Lu
IEEE Transactions on Industrial Informatics 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
Paper
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
Paper Code
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
Paper Code
Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification
Junru Zhang, Lang Feng, Haowen Zhang, Yuhan Wu, Yabo Dong
ECML-PKDD 2023, Oral
Paper Code

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