State estimation for BAM neural networks with mixed time delays. - Guoquan Liu; Chaomin Luo; Jianlong Qiu; Xianxi Luo; Jiakai Ding (CASE, 2017)

Robust H-infinity State Estimation of Uncertain Neural Networks with Two Additive Time-Varying Delays. - Xiaoping Hu; Yajun Wang; Jiakai Ding; Dongming Xiao (MLIS, 2020)

Gear Fault Diagnosis Based on Genetic Mutation Particle Swarm Optimization VMD and Probabilistic Neural Network Algorithm. - Jiakai Ding; Dongming Xiao; Xuejun Li (IEEE Access, 2020)

GMPSO-VMD Algorithm and Its Application to Rolling Bearing Fault Feature Extraction. - Jiakai Ding; Liangpei Huang; Dongming Xiao; Xuejun Li (Sensors, 2020)

Deep time-frequency learning for interpretable weak signal enhancement of rotating machineries. - Jiakai Ding; Yi Wang 043; Yi Qin 004; Baoping Tang (Eng. Appl. Artif. Intell., 2023)

Deep signal separation for adaptive estimation of instantaneous phase from vibration signals. - Yi Wang 043; Jiakai Ding; Haoran Sun; Yi Qin 004; Baoping Tang (Expert Syst. Appl., 2024)

Adaptive Global Noise Suppression Deep Deconvolution for Weak Fault Signature Mining of Aero-Engine Accessory Casing. - Jiakai Ding; Yi Wang 043; Yi Qin 004; Baoping Tang (IEEE Trans. Instrum. Meas., 2024)

RTFNN: A refined time-frequency neural network for interpretable intelligent diagnosis of aero-engine. - Jiakai Ding; Yi Wang; Yi Qin; Baoping Tang (Adv. Eng. Informatics, 2025)

FedRad: A Dynamic Low-Cost Federated Learning for Fault Diagnosis of Rotating Machinery. - Dongming Xiao; Jianhong Diao; Jiakai Ding; Lingli Jiang; Chunhua Zhao (IEEE Trans. Instrum. Meas., 2025)