Ji-Han Wu

According to our database, Ji-Han Wu authored at least 4 papers between 2023 and 2024.

Collaborative distances:

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

2024

Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem.

Kuo-Hao Ho, Jui-Yu Cheng, Ji-Han Wu, Fan Chiang, Yen-Chi Chen, Yuan-Yu Wu, I-Chen Wu

IEEE Access, 2024

A Novel Design of Random Number Generators Using Chaos-Based Extremum Coding.

Shunsuke Araki, Ji-Han Wu, Jun-Juh Yan

IEEE Access, 2024

2023

Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem.

Kuo-Hao Ho, Ruei-Yu Jheng, Ji-Han Wu, Fan Chiang, Yen-Chi Chen, Yuan-Yu Wu, I-Chen Wu

CoRR, 2023

Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling.

Kuo-Hao Ho, Ji-Han Wu, Fan Chiang, Yuan-Yu Wu, Sheng-I Chen, Ted Kuo, Feng-Jian Wang, I-Chen Wu

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023