Junru Zhang

According to our database, Junru Zhang authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

CoRR, February, 2026

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

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

Proceedings of the ACM Web Conference 2026, 2026

2025

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 Trans. Intell. Transp. Syst., November, 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 Trans. Ind. Informatics, November, 2025

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

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

IEEE Trans. Mob. Comput., October, 2025

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

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

CoRR, June, 2025

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

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Effective LSTMs with seasonal-trend decomposition and adaptive learning and niching-based backtracking search algorithm for time series forecasting.

Yuhan Wu, Xiyu Meng, Junru Zhang, Yang He, Joseph A. Romo, Yabo Dong, Dongming Lu

Expert Syst. Appl., February, 2024

Speeding up k-means clustering in high dimensions by pruning unnecessary distance computations.

Haowen Zhang, Jing Li, Junru Zhang, Yabo Dong

Knowl. Based Syst., 2024

LTCR: Long Temporal Characteristic Reconstruction for Segmentation in Contrastive Learning.

Yang He, Yuhan Wu, Junru Zhang, Yabo Dong

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Multi-view Self-Supervised Contrastive Learning for Multivariate Time Series.

Yuhan Wu, Xiyu Meng, Yang He, Junru Zhang, Haowen Zhang, Yabo Dong, Dongming Lu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

CLformer: Constraint-based Locality enhanced Transformer for anomaly detection of ancient building structures.

Yuhan Wu, Yabo Dong, Wentao Zhu, Junru Zhang, Shijie Liu, Dongming Lu, Nan Zeng, Yinhui Li

Eng. Appl. Artif. Intell., November, 2023

FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility.

Lang Feng, Dong Xing, Junru Zhang, Gang Pan

CoRR, 2023

Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification.

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

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, Yabo Dong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023