Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain. - Junru Zhang 001; Lang Feng 002; Yang He; Yuhan Wu 005; Yabo Dong (CIKM, 2023)

Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification. - Junru Zhang 001; Lang Feng 002; Haowen Zhang; Yuhan Wu 005; Yabo Dong (ECML/PKDD (5), 2023)

FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility. - Lang Feng 002; Dong Xing; Junru Zhang 001; Gang Pan 001 (CoRR, 2023)

CLformer: Constraint-based Locality enhanced Transformer for anomaly detection of ancient building structures. - Yuhan Wu 005; Yabo Dong; Wentao Zhu; Junru Zhang 001; Shijie Liu; Dongming Lu; Nan Zeng; Yinhui Li (Eng. Appl. Artif. Intell., 2023)

Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition. - Junru Zhang 001; Lang Feng 002; Zhidan Liu 001; Yuhan Wu 005; Yang He; Yabo Dong; Duanqing Xu (KDD, 2024)

Multi-view Self-Supervised Contrastive Learning for Multivariate Time Series. - Yuhan Wu 005; Xiyu Meng; Yang He; Junru Zhang 001; Haowen Zhang; Yabo Dong; Dongming Lu (ACM Multimedia, 2024)

LTCR: Long Temporal Characteristic Reconstruction for Segmentation in Contrastive Learning. - Yang He; Yuhan Wu 005; Junru Zhang 001; Yabo Dong (ECML/PKDD (5), 2024)

Speeding up k-means clustering in high dimensions by pruning unnecessary distance computations. - Haowen Zhang; Jing Li 167; Junru Zhang 001; Yabo Dong (Knowl. Based Syst., 2024)

Effective LSTMs with seasonal-trend decomposition and adaptive learning and niching-based backtracking search algorithm for time series forecasting. - Yuhan Wu 005; Xiyu Meng; Junru Zhang 001; Yang He; Joseph A. Romo; Yabo Dong; Dongming Lu (Expert Syst. Appl., 2024)

Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting. - Yuhan Wu 005; Xiyu Meng; Huajin Hu; Junru Zhang 001; Yabo Dong; Dongming Lu (AAAI, 2025)

Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification. - Junru Zhang 001; Lang Feng 002; Xu Guo 002; Han Yu 001; Yabo Dong; Duanqing Xu (KDD (2), 2025)

TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning. - Junru Zhang 001; Lang Feng 002; Xu Guo 002; Yuhan Wu 005; Yabo Dong; Duanqing Xu (CoRR, 2025)

DI2SDiff++: Activity Style Decomposition and Diffusion-Based Fusion for Cross-Person Generalization in Activity Recognition. - Junru Zhang 001; Cheng Peng 011; Zhidan Liu 001; Lang Feng 002; Yuhan Wu 005; Yabo Dong; Duanqing Xu (IEEE Trans. Mob. Comput., 2025)

Semi4TSF: End-to-End Semi-Supervised Contrastive Representation Learning for Time Series Forecasting. - Yuhan Wu 005; Xiyu Meng; Junru Zhang 001; Yabo Dong; Dongming Lu (IEEE Trans. Ind. Informatics, 2025)

Regional Knowledge Transfer for Urban Traffic Flow Prediction via Satellite Imagery Assisted Contrastive Domain Adaptation. - Zhidan Liu 001; Zhengze Sun; Junru Zhang 001; Bolin Zhang; Panrong Tong (IEEE Trans. Intell. Transp. Syst., 2025)

FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification. - Haoran Shi 003; Junru Zhang 001; Cheng Peng 011; Xiaoli Tang 001; Longtao Huang; Han Yu 001 (WWW, 2026)

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection. - Junru Zhang 001; Lang Feng 002; Haoran Shi 003; Xu Guo 002; Han Yu 001; Yabo Dong; Duanqing Xu (CoRR, 2026)