Han Wang

According to our database, Han Wang authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

MoMD Transformer: adaptive multi-modal fault diagnosis via knowledge transfer with vibration-current signals.

Xiaohan Zhang, Han Wang, Chenze Wang, Gaowei Xu, Min Liu, Chuang Liu

Inf. Fusion, 2026

Multimodal individual counting: Robust crowd estimation under low-visibility conditions.

Tianyi Yin, Jingwei Wang, Chenze Wang, Jiexuan Cai, Han Wang, Yukai Zhao, Min Liu, Yunlong Ma

Neurocomputing, 2026

Unknown intervention-aware neural Granger causal discovery via Kullback-Leibler divergence constraint.

Chenze Wang, Tianyi Yin, Han Wang, Xiaohan Zhang, Gaowei Xu, Jingwei Wang, Min Liu

Adv. Eng. Informatics, 2026

R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models.

Tianyi Yin, Jingwei Wang, Chenze Wang, Han Wang, Jiexuan Cai, Min Liu, Yunlong Ma, Kun Gao, Yuting Song, Weiming Shen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Transformer-Based Industrial Time Series Prediction Model With Multivariate Dynamic Embedding.

Chenze Wang, Han Wang, Xiaohan Zhang, Qing Liu, Min Liu, Gaowei Xu

IEEE Trans. Ind. Informatics, February, 2025

Fine-grained adaptive contrastive learning for unsupervised feature extraction.

Tianyi Yin, Jingwei Wang, Yukai Zhao, Han Wang, Yunlong Ma, Min Liu

Neurocomputing, 2025

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting.

Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen

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

2024

A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data.

Chenze Wang, Han Wang, Min Liu

J. Intell. Manuf., April, 2024

Time-segment-wise feature fusion transformer for multi-modal fault diagnosis.

Xiaohan Zhang, Han Wang, Chenze Wang, Min Liu, Gaowei Xu

Eng. Appl. Artif. Intell., 2024

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting.

Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen, Yufeng Chen

CoRR, 2024

Self-Supervised Generative Pre-Trained Model with a Learnable Mask Network for Industrial Time Series Prediction.

Chenze Wang, Han Wang, Qing Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

2023

Few-Shot Learning for Fault Diagnosis With a Dual Graph Neural Network.

Han Wang, Jingwei Wang, Yukai Zhao, Qing Liu, Min Liu, Weiming Shen

IEEE Trans. Ind. Informatics, 2023

A Safe-Domain Generative Adversarial Network with Transformer for Noisy Imbalanced Fault Diagnosis.

Xiaohan Zhang, Han Wang, Chenze Wang, Qing Liu, Min Liu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

Adaptive spatiotemporal graph convolutional network with intermediate aggregation of multi-stream skeleton features for action recognition.

Yukai Zhao, Jingwei Wang, Han Wang, Min Liu, Yunlong Ma

Neurocomputing, 2022