Bingyuan Hong

According to our database, Bingyuan Hong authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups.

Funing Li, Sebastian Lang, Yuan Tian, Bingyuan Hong, Benjamin Rolf, Ruben Noortwyck, Robert Schulz, Tobias Reggelin

J. Intell. Manuf., October, 2025

Susceptibility risk assessment of oil and gas pipeline geological hazards in mountainous areas based on data-driven model.

Yuxiang Yang, Benji Wang, Xiao Cen, Bowen Shao, Baikang Zhu, Jin Yang, Bingyuan Hong

Eng. Appl. Artif. Intell., 2025

Balancing economy, user guarantee, and carbon emissions towards sustainable natural gas pipeline network planning.

Bingyuan Hong, Wei Gao, Ming Yang, Bin Zhou, Yangfan Lu, Jing Gong, Kai Wen

Comput. Ind. Eng., 2025

2024

A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups.

Funing Li, Sebastian Lang, Bingyuan Hong, Tobias Reggelin

J. Intell. Manuf., March, 2024

A methodology to determine target gas supply reliability of natural gas pipeline system based on cost-benefit analysis.

Xiangying Shan, Weichao Yu, Bing Hu, Kai Wen, Shipeng Ren, Yang Men, Mingrui Li, Jing Gong, Honglong Zheng, Bingyuan Hong

Reliab. Eng. Syst. Saf., 2024

2022

Φ-OTDR Signal Identification Method Based on Multimodal Fusion.

Huaizhi Zhang, Jianfeng Gao, Bingyuan Hong

Sensors, 2022

2020

An integrated MILP model for optimal planning of multi-period onshore gas field gathering pipeline system.

Bingyuan Hong, Xiaoping Li, Guojia Di, Shangfei Song, Weichao Yu, Shilin Chen, Yu Li, Jing Gong

Comput. Ind. Eng., 2020