Shaofeng Yang - My portal - researchmap

Profile Information

Affiliation: PhD candidate, Graduate School of Frontier Sciences Department of Socio-Cultural Environmental Studies, The University of Tokyo

Degree: 学士(工学)(東京理科大学)

J-GLOBAL ID: 201901007879930898
researchmap Member ID: B000373373

Research Interests

5

Awards

3

Nov, 2019

GeoSim: Best Paper, Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning, ACM SIGSPATIAL GIS 2019

Shaofeng Yang
Oct, 2019

Excellent presentation award, Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning, Geographic Information Systems Association of Japan

Shaofeng Yang
Sep, 2019

Excellent Research Presentation Award, Estimation of the economic impact of urban flood through the use of big data on inter-branch office transactions, Japan Society for Natural Disaster Science: JSNDS

Shaofeng Yang

Papers

5

Modelling the behaviour of corporations during the flood damage recovery process using multi‐agent deep reinforcement learning

Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Ryosuke Shibasaki, Yuuki Okuma

Journal of Flood Risk Management, Aug 6, 2022
Predicting economic damage spillover in supply chains using graph neural network

YANG Shaofeng, OGAWA Yoshiki, IKEUCHI Koji, SHIBASAKI Ryosuke

Proceedings of the Annual Conference of JSAI, JSAI2022 2J4GS1005-2J4GS1005, 2022
Estimation of the economic impact of urban flood through the use of big data on inter-branch office transactions

Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Yuki Akiyama, Rryosuke Shibasaki

Journal of Natural Disaster Science, 38(特別号) 185-199, Oct, 2019 Peer-reviewed
Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning.

Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Yuki Akiyama, Ryosuke Shibasaki

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, 24-27, 2019 Peer-reviewed
Estimation of the economic impact of large-scale flooding in the Tokyo metropolitan area.

Shaofeng Yang, Ryosuke Shibasaki, Yoshiki Ogawa, Koji Ikeuchi, Yuki Akiyama

2018 IEEE International Conference on Big Data, 3191-3200, 2018 Peer-reviewed

Misc.

4

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

小川芳樹, 楊少鋒, 池内幸司, 柴崎亮介, 大熊裕輝

GIS-理論と応用 / 地理情報システム学会編, 30(1) 27-37, Jun, 2022
Optimization Method for Supply Chain Reconstruction Process Using Deep Reinforcement Learning-A Case Study of the 2016 Kumamoto Earthquake-

YANG Shaofeng, 小川芳樹, 池内幸司, 柴崎亮介, 大熊裕輝

地理情報システム学会講演論文集(CD-ROM), 30, 2021
Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning

Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Yuki Akiyama, Rryosuke Shibasaki

28, Oct, 2019
Estimation of economic impact on large scale flood in the Arakawa river area

Shaofeng Yang, Yoshiki Ogawa, Yuki Akiyama, Rryosuke Shibasaki, Koji Ikeuchi

27, Oct, 2018