Yang Shaofeng

ヨウショウホウ | Yang Shaofeng

Affiliation and department：
Job title： PhD candidate

Research keywords (5)： disaster management , big data , machine learning , supply chain management , GIS

Papers (6)：

Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Ryosuke Shibasaki, Yuuki Okuma. Post-hazard supply chain disruption: Predicting firm-level sales using graph neural network. International Journal of Disaster Risk Reduction. 2024
Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Ryosuke Shibasaki, Yuuki Okuma. Modelling the behaviour of corporations during the flood damage recovery process using multi-agent deep reinforcement learning. Journal of Flood Risk Management. 2022
YANG Shaofeng, OGAWA Yoshiki, IKEUCHI Koji, SHIBASAKI Ryosuke. Predicting economic damage spillover in supply chains using graph neural network. Proceedings of the Annual Conference of JSAI. 2022. JSAI2022. 2J4GS1005-2J4GS1005
Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Yuki Akiyama, Rryosuke Shibasaki. Estimation of the economic impact of urban flood through the use of big data on inter-branch office transactions. Journal of Natural Disaster Science. 2019. 38. 特別号. 185-199
Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Yuki Akiyama, Ryosuke Shibasaki. Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation. 2019. 24-27

ｍore...

MISC (5)：

小川芳樹, 楊少鋒, 池内幸司, 柴崎亮介, 大熊裕輝. サプライチェーンにおけるボトルネック企業の抽出モデル : 日本全国の企業間取引データへの適用-Bottleneck firm identification model in supply chain : Applying to large-scale inter-firm transaction data in Japan. GIS-理論と応用 / 地理情報システム学会編. 2022. 30. 1. 27-37
YANG Shaofeng, 小川芳樹, 池内幸司, 柴崎亮介. A firm-level agent simulation model to evaluate the impact of floods on supply chains-a case study of the 2018 Japan Floods-. 地理情報システム学会講演論文集(CD-ROM). 2022. 31
YANG Shaofeng, 小川芳樹, 池内幸司, 柴崎亮介, 大熊裕輝. Optimization Method for Supply Chain Reconstruction Process Using Deep Reinforcement Learning-A Case Study of the 2016 Kumamoto Earthquake-. 地理情報システム学会講演論文集(CD-ROM). 2021. 30
Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Yuki Akiyama, Rryosuke Shibasaki. Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning. 2019. 28
Shaofeng Yang, Yoshiki Ogawa, Yuki Akiyama, Rryosuke Shibasaki, Koji Ikeuchi. Estimation of economic impact on large scale flood in the Arakawa river area. 2018. 27

Professional career (1)：

Awards (3)：

2019/11 - ACM SIGSPATIAL GIS 2019 GeoSim: Best Paper Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning
2019/10 - Geographic Information Systems Association of Japan Excellent presentation award Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning
2019/09 - Japan Society for Natural Disaster Science: JSNDS Excellent Research Presentation Award Estimation of the economic impact of urban flood through the use of big data on inter-branch office transactions

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page