About Me
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.
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.
Preprints (* co-first)
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
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)
FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification
Haoran Shi*, Junru Zhang*†, Cheng Peng, Xiaoli Tang, Longtao Huang, Han Yu
Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification
Junru Zhang, Lang Feng, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu
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
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
Semi4TSF: End-to-End Semi-supervised Contrastive Representation Learning for Time Series Forecasting
Yuhan Wu, Xiyu Meng, Junru Zhang, Yabo Dong, Dongming Lu
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
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
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
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)
