Dailin Huang

According to our database, Dailin Huang authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Heterogeneous Feature Knowledge Distillation based on Enhanced Feature Projector Correlation.

Hong Zhao, Kangping Chen, Qiaoying Jin, Dailin Huang, Zhaobin Chang

Neural Networks, 2026

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., March, 2025

Multi-agent deep reinforcement learning with traffic flow for traffic signal control.

Liang Hou, Dailin Huang, Jie Cao, Jialin Ma

J. Control. Decis., January, 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

Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention.

Dailin Huang, Hong Zhao, Jie Cao, Kangping Chen, Lijun Zhang

Appl. Soft Comput., 2025

2024

Collaborative multi-knowledge distillation under the influence of softmax regression representation.

Hong Zhao, Kangping Chen, Zhaobin Chang, Dailin Huang

Multim. Syst., December, 2024

2023

A multi process value-based reinforcement learning environment framework for adaptive traffic signal control.

Jie Cao, Dailin Huang, Liang Hou, Jialin Ma

J. Control. Decis., 2023

2022

Method to enhance deep learning fault diagnosis by generating adversarial samples.

Jie Cao, Jialin Ma, Dailin Huang, Ping Yu, Jinhua Wang, Kangjie Zheng

Appl. Soft Comput., 2022