Crowd Counting via Conditional Generative Adversarial Networks. - Tao Xu; Yinong Duan; Jiahao Du; Caihua Liu (PRCV (2), 2019)

基于多尺度层级LSTM网络的时间序列预测分析 (Time Series Analysis Based on MSH-LSTM). - Xu-dong Zhang 003; Jiahao Du; Yufang Huang; Dongxian Shi; Yongwei Miao (计算机科学, 2019)

An Enhanced Scale Robust Network for Crowd Counting. - Caihua Liu; Yinong Duan; Jiahao Du; Tao Xu (IEEE Access, 2020)

Design and Implementation of an Intelligent Analgesic Bracelet Based on Wrist-ankle Acupuncture. - Ping Shi 002; Jiahao Du; Fanfu Fang; Hongliu Yu; Junwen Liu (IEEE Trans. Biomed. Circuits Syst., 2020)

A generative adversarial network with joint multistream architecture and spectral compensation for pansharpening. - Liping Zhang; Weisheng Li 001; Jiahao Du; Dajiang Lei (Appl. Soft Comput., 2022)

A clustered blueprint separable convolutional neural network with high precision for high-speed train bogie fault diagnosis. - Xinming Jia; Na Qin; Deqing Huang; Yiming Zhang 021; Jiahao Du (Neurocomputing, 2022)

Precise Diagnosis of Unknown Fault of High-Speed Train Bogie Using Novel FBM-Net. - Yiming Zhang 021; Na Qin; Deqing Huang; Jiahao Du (IEEE Trans. Instrum. Meas., 2022)

Federated Transfer Learning for Fault Diagnosis of High-speed Train Bogie With Data Security and Training Optimization. - Jiahao Du; Junqiang Cheng; Yiting You; Tianwei Wang; Na Qin; Deqing Huang (SAFEPROCESS, 2023)

Inpainting of Remote Sensing Sea Surface Temperature image with Multi-scale Physical Constraints. - Qichen Wei; Zijie Zuo; Jie Nie; Jiahao Du; Yaning Diao; Min Ye; Xinyue Liang (ICME, 2023)

Application and Research Progress of Transcutaneous Electrical Nerve Stimulation in the Treatment of Pain. - Jiahao Du (i-CREATe, 2023)

Fault Diagnosis of Multi-Railway High-Speed Train Bogies by Improved Federated Learning. - Na Qin; Jiahao Du; Yiming Zhang 021; Deqing Huang; Bi Wu (IEEE Trans. Veh. Technol., 2023)

Lightweight FL: A Low-Cost Federated Learning Framework for Mechanical Fault Diagnosis With Training Optimization and Model Pruning. - Jiahao Du; Na Qin; Deqing Huang; Xinming Jia; Yiming Zhang 021 (IEEE Trans. Instrum. Meas., 2024)

GraphFL: Graph Federated Learning for Fault Localization of Multirailway High-Speed Train Suspension Systems. - Xinming Jia; Na Qin; Deqing Huang; Jiahao Du; Yiming Zhang 021 (IEEE Trans. Instrum. Meas., 2024)

Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie. - Yiming Zhang 021; Na Qin; Deqing Huang; Aisen Yang; Xinming Jia; Jiahao Du (IEEE Trans. Instrum. Meas., 2024)

An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model Training. - Jiahao Du; Na Qin; Deqing Huang; Yiming Zhang 021; Xinming Jia (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Dual-Stream Network with Non-Stationary Characteristics-Enhanced for SST Image Prediction. - Min Ye; Jiahao Du; Ning Song; Xinyue Liang; Bohan Li 005; Jie Nie (ICASSP, 2025)

A Multi-Rank Federated Distillation Framework for Data-Imbalance Fault Diagnosis of Multi-Railway High-Speed Train Bogies. - Jiahao Du; Na Qin; Deqing Huang; Xinming Jia; Yiming Zhang 021 (IEEE Trans. Intell. Transp. Syst., 2025)