Han Wang - RankMe

15 papers A* 2B 1C 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MoMD Transformer: adaptive multi-modal fault diagnosis via knowledge transfer with vibration-current signals. Inf. Fusion Xiaohan Zhang, Han Wang, Chenze Wang, Gaowei Xu, Min Liu, Chuang Liu
2026	J	`jnl`	Multimodal individual counting: Robust crowd estimation under low-visibility conditions. Neurocomputing Tianyi Yin, Jingwei Wang, Chenze Wang, Jiexuan Cai, Han Wang, Yukai Zhao, Min Liu, Yunlong Ma
2026	A*	`conf`	R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models. AAAI Tianyi Yin, Jingwei Wang, Chenze Wang, Han Wang, Jiexuan Cai, Min Liu, Yunlong Ma, Kun Gao, Yuting Song, Weiming Shen
2026	J	`jnl`	Unknown intervention-aware neural Granger causal discovery via Kullback-Leibler divergence constraint. Adv. Eng. Informatics Chenze Wang, Tianyi Yin, Han Wang, Xiaohan Zhang, Gaowei Xu, Jingwei Wang, Min Liu
2025	J	`jnl`	A Transformer-Based Industrial Time Series Prediction Model With Multivariate Dynamic Embedding. IEEE Trans. Ind. Informatics Chenze Wang, Han Wang, Xiaohan Zhang, Qing Liu, Min Liu, Gaowei Xu
2025	A*	`conf`	Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting. AAAI Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen
2025	J	`jnl`	Fine-grained adaptive contrastive learning for unsupervised feature extraction. Neurocomputing Tianyi Yin, Jingwei Wang, Yukai Zhao, Han Wang, Yunlong Ma, Min Liu
2025	J	`jnl`	R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models. CoRR Tianyi Yin, Jingwei Wang, Chenze Wang, Han Wang, Jiexuan Cai, Min Liu, Yunlong Ma, Kun Gao, Yuting Song, Weiming Shen
2024	J	`jnl`	A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data. J. Intell. Manuf. Chenze Wang, Han Wang, Min Liu
2024	J	`jnl`	Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting. CoRR Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen, Yufeng Chen
2024	B	`conf`	Self-Supervised Generative Pre-Trained Model with a Learnable Mask Network for Industrial Time Series Prediction. SMC Chenze Wang, Han Wang, Qing Liu
2024	J	`jnl`	Time-segment-wise feature fusion transformer for multi-modal fault diagnosis. Eng. Appl. Artif. Intell. Xiaohan Zhang, Han Wang, Chenze Wang, Min Liu, Gaowei Xu
2023	C	`conf`	A Safe-Domain Generative Adversarial Network with Transformer for Noisy Imbalanced Fault Diagnosis. CSCWD Xiaohan Zhang, Han Wang, Chenze Wang, Qing Liu, Min Liu
2023	J	`jnl`	Few-Shot Learning for Fault Diagnosis With a Dual Graph Neural Network. IEEE Trans. Ind. Informatics Han Wang, Jingwei Wang, Yukai Zhao, Qing Liu, Min Liu, Weiming Shen
2022	J	`jnl`	Adaptive spatiotemporal graph convolutional network with intermediate aggregation of multi-stream skeleton features for action recognition. Neurocomputing Yukai Zhao, Jingwei Wang, Han Wang, Min Liu, Yunlong Ma