Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System. - Hao Zhang 014; Bing Zhang 001; Zhiqi Wei; Chenze Wang; Qiao Huang (Remote. Sens., 2020)

A Safe-Domain Generative Adversarial Network with Transformer for Noisy Imbalanced Fault Diagnosis. - Xiaohan Zhang; Han Wang 047; Chenze Wang; Qing Liu 004; Min Liu 002 (CSCWD, 2023)

Motif-Induced Subgraph Generative Learning for Explainable Neurological Disorder Detection. - Mujie Liu; Qichao Dong; Chenze Wang; Xinrui Cheng; Falih Gozi Febrinanto; Azadeh Noori Hoshyar; Feng Xia 001 (AI (2), 2024)

Self-Supervised Generative Pre-Trained Model with a Learnable Mask Network for Industrial Time Series Prediction. - Chenze Wang; Han Wang 047; Qing Liu 004 (SMC, 2024)

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting. - Tianyi Yin; Jingwei Wang 001; Yunlong Ma; Han Wang 047; Chenze Wang; Yukai Zhao; Min Liu 002; Weiming Shen 001; Yufeng Chen (CoRR, 2024)

Time-segment-wise feature fusion transformer for multi-modal fault diagnosis. - Xiaohan Zhang; Han Wang 047; Chenze Wang; Min Liu 002; Gaowei Xu (Eng. Appl. Artif. Intell., 2024)

A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data. - Chenze Wang; Han Wang 047; Min Liu 002 (J. Intell. Manuf., 2024)

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting. - Tianyi Yin; Jingwei Wang 001; Yunlong Ma; Han Wang 047; Chenze Wang; Yukai Zhao; Min Liu 002; Weiming Shen 001 (AAAI, 2025)

Prototypical Normalized Output Domain Adversarial Adaptation Network for Fault Diagnosis with Fusion Perception. - Keao Meng; Han Wang; Chenze Wang; Qing Liu; Yufeng Chen; Gaowei Xu; Min Liu (CSCWD, 2025)

A Transformer-Based Industrial Time Series Prediction Model With Multivariate Dynamic Embedding. - Chenze Wang; Han Wang 047; Xiaohan Zhang; Qing Liu 004; Min Liu 002; Gaowei Xu (IEEE Trans. Ind. Informatics, 2025)