Chenze Wang

19 papers A* 2B 2C 2Journal 11Unranked 2
YearRankTypeTitle / 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
2026 J jnl
What makes a good image? Exploring patients' physician selection behavior leveraging large language models and scenario experiments.
Decis. Support Syst.
Shan Liu, Qingshan Liu, Kezhen Wei, Guangsen Si, Chenze Wang, Muyu Zhang
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 B conf
ACET: An Adaptive Component Extraction and Tokenization Framework for Time Series Forecasting.
SMC
Jiexuan Cai, Tianyi Yin, Jingwei Wang, Chenze Wang, Yukai Zhao, Yunlong Ma, Min Liu
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 C conf
Prototypical Normalized Output Domain Adversarial Adaptation Network for Fault Diagnosis with Fusion Perception.
CSCWD
Keao Meng, Han Wang, Chenze Wang, Qing Liu, Yufeng Chen, Gaowei Xu, 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
2025 — conf
Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-Efficient Psychiatric Diagnosis.
AI (2)
Mujie Liu, Chenze Wang, Liping Chen, Nguyen Linh Dan Le, Niharika Tewari, Ting Dang, Jiangang Ma, Feng Xia
2025 J jnl
Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis.
CoRR
Mujie Liu, Chenze Wang, Liping Chen, Nguyen Linh Dan Le, Niharika Tewari, Ting Dang, Jiangang Ma, Feng Xia
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 — conf
Motif-Induced Subgraph Generative Learning for Explainable Neurological Disorder Detection.
AI (2)
Mujie Liu, Qichao Dong, Chenze Wang, Xinrui Cheng, Falih Gozi Febrinanto, Azadeh Noori Hoshyar, Feng Xia
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
2020 J jnl
Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System.
Remote. Sens.
Hao Zhang, Bing Zhang, Zhiqi Wei, Chenze Wang, Qiao Huang