Method to enhance deep learning fault diagnosis by generating adversarial samples. - Jie Cao 014; Jialin Ma; Dailin Huang; Ping Yu 004; Jinhua Wang 005; Kangjie Zheng (Appl. Soft Comput., 2022)

A multi process value-based reinforcement learning environment framework for adaptive traffic signal control. - Jie Cao 014; Dailin Huang; Liang Hou; Jialin Ma (J. Control. Decis., 2023)

Collaborative multi-knowledge distillation under the influence of softmax regression representation. - Hong Zhao; Kangping Chen; Zhaobin Chang; Dailin Huang (Multim. Syst., 2024)

Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention. - Dailin Huang; Hong Zhao; Jie Cao 014; Kangping Chen; Lijun Zhang (Appl. Soft Comput., 2025)

A deep reinforcement learning method based on a multiexpert graph neural network for flexible job shop scheduling. - Dailin Huang; Hong Zhao; Weiquan Tian; Kangping Chen (Comput. Ind. Eng., 2025)

Multi-agent deep reinforcement learning with traffic flow for traffic signal control. - Liang Hou; Dailin Huang; Jie Cao 014; Jialin Ma (J. Control. Decis., 2025)

M-GAN: multiattribute learning and multimodal feature fusion-based generative adversarial network for text-to-image synthesis. - Hong Zhao; Wengai Li; Dailin Huang; Jinhai Huang; Lijun Zhang (Vis. Comput., 2025)