A Planar-Coil-Based Current Transducer Used in Distribution Power System. - Peng Wang; Guixin Zhang; Zheng Qian (IEEE Trans. Instrum. Meas., 2010)

Dense stereo disparity maps by Dynamic Time Warp with sparse features and FPGA acceleration. - Zheng Qian; Kunio Takaya (CCECE, 2011)

Short-Term Wind Power Forecasting Using Gaussian Processes. - Niya Chen; Zheng Qian; Ian T. Nabney; Xiaofeng Meng 002 (IJCAI, 2013)

Optimization design for coercivity characteristic of spin valve Giant Magneto Resistance. - Xiaodong Zhao; Zheng Qian (I2MTC, 2014)

Wind power forecasting considering wind turbine condition. - Yan Pei; Zheng Qian; Niya Chen (ISGT Asia, 2015)

The error compensation for static hysteresis characteristics of Giant Magneto-Resistance sensor. - Xiaodong Zhao; Zheng Qian; Yuan Tian; Jingyi Wang; Hao Yu 004 (SAS, 2016)

Circular Array of Magnetic Sensors for Current Measurement: Analysis for Error Caused by Position of Conductor. - Hao Yu 004; Zheng Qian; Huayi Liu; Jiaqi Qu (Sensors, 2018)

Intelligent fault diagnosis of wind turbine gearbox based on Long short-term memory networks. - Lixiao Cao; Jingyi Zhang; Jing-Yue Wang; Zheng Qian (ISIE, 2019)

A study on the lifetime estimation of photovoltaic modules under accelerated environmental conditions. - Jingyi Wang; Zheng Qian; Jing-Yue Wang; Yan Pei (ISIE, 2019)

Fault Diagnosis of Wind Turbine Gearbox Based on Deep Bi-Directional Long Short-Term Memory Under Time-Varying Non-Stationary Operating Conditions. - Lixiao Cao; Zheng Qian; Hamidreza Zareipour; Zhenkai Huang; Fanghong Zhang (IEEE Access, 2019)

A Method of Forecasting Thunderstorms and Gale Weather Based on Multisource Convolution Neural Network. - Yanping Jiang; Jinliang Yao; Zheng Qian (IEEE Access, 2019)

Using GMOSTNet for Tree Detection Under Complex Illumination and Morphological Occlusion. - Zheng Qian; Hailin Feng; Yinhui Yang; Xiaochen Du; Kai Xia (ICPCSEE (1), 2020)

Research of Probability-Based Tunneling Magnetoresistive Sensor Static Hysteresis Model. - Yutao Li; Liliang Wang; Hao Yu; Zheng Qian (Sensors, 2021)

Exploration and Research on the Open and Shared New Engineering Maker Practice Education. - Zhibo Sun; Zhilong Li; Zheng Qian; Haitao Qi 002; Chengkun Shi (FIE, 2023)

A Forecast-Refinement Neural Network Based on DyConvGRU and U-Net for Radar Echo Extrapolation. - Jinliang Yao; Feifan Xu; Zheng Qian; Zhipeng Cai (IEEE Access, 2023)

Fault diagnosis for PV arrays considering dust impact based on transformed graphical feature of characteristic curves and convolutional neural network with CBAM modules. - Jiaqi Qu; Lu Wei; Qiang Sun; Hamidreza Zareipour; Zheng Qian (CoRR, 2023)

A partial domain adaptation scheme based on weighted adversarial nets with improved CBAM for fault diagnosis of wind turbine gearbox. - Yunyi Zhu; Yan Pei; Anqi Wang; Bin Xie; Zheng Qian (Eng. Appl. Artif. Intell., 2023)

Mechanical System with Soft Modules and Rigid Frames Realizing Logic Gates and Computation. - Yubo Zhang; Zheng Qian; Juncheng Zhuang; Siping Fan; Huaxian Wei; Nan Yang (Adv. Intell. Syst., 2023)

Condition monitoring of wind turbine based on a novel spatio-temporal feature aggregation network integrated with adaptive threshold interval. - Lixiao Cao; Jie Zhang; Zheng Qian; Zong Meng; Jimeng Li (Adv. Eng. Informatics, 2024)

Fault diagnosis of wind turbine gearbox under limited labeled data through temporal predictive and similarity contrast learning embedded with self-attention mechanism. - Yunyi Zhu; Bin Xie; Anqi Wang; Zheng Qian (Expert Syst. Appl., 2024)

A novel multi-task fault detection model embedded with spatio-temporal feature fusion for wind turbine pitch and drive train systems. - Lixiao Cao; Zhiqiang Li; Jimeng Li; Zheng Qian; Zong Meng; Miaomiao Liu (Adv. Eng. Informatics, 2025)

Food multi-factor decoupling recognition based on progressive spatial-frequency attention distillation learning. - Minkang Chai; Lu Wei; Zheng Qian; Ran Zhang; Ye Zhu; Baoqing Zhou (Eng. Appl. Artif. Intell., 2025)

MT-CDGAT: A multi-label diagnosis model for untrained planetary gearbox compound faults based on multi-task cross dynamic graph attention networks. - Lixiao Cao; Yixu Wang; Jimeng Li; Zheng Qian; Zong Meng; Miaomiao Liu (Neurocomputing, 2025)

Wind turbine fault detection and identification via self-attention-based dynamic graph representation learning and variable-level normalizing flow. - Yunyi Zhu; Bin Xie; Anqi Wang; Zheng Qian (Reliab. Eng. Syst. Saf., 2025)

Exploring Explainable Multi-player MCTS-minimax Hybrids in Board Game Using Process Mining. - Yiyu Qian; Tim Miller 001; Zheng Qian; Liyuan Zhao (CoRR, 2025)