Jiang Renhe 姜仁河

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JIANG Renhe 姜仁河

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Researcher Number	20865266
Other IDs	https://orcid.org/0000-0003-2593-4638
Affiliation (Current)	2024: 東京大学, 空間情報科学研究センター, 講師 2024: 東京大学, 情報基盤センター, 講師
Affiliation (based on the past Project Information) *help	2024: 東京大学, 空間情報科学研究センター, 講師 2020 – 2021: 東京大学, 情報基盤センター, 助教
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related
Keywords	Principal Investigator Spatiotemporal Data / Mobility Simulation / Human Mobility / Generative AI / スマートシティ / 人流予測 / データ駆動型AI / human mobility / crowd flow / crowd density … More / society 5.0 / smart city / Graph Neural Networks / Crowd Prediction / Traffic Prediction / Benchmark / Crowd Flow / Urban Mobility / Transportation / Deep Learning / Smart City Less

AIGMob: Conditional Generative AI for Fine-grained Urban Mobility SimulationPrincipal Investigator
- Principal Investigator
  
  姜仁河
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
  Basic Section 60030:Statistical science-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  The University of Tokyo
A Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic PredictionPrincipal Investigator
- Principal Investigator
  
  JIANG Renhe
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  The University of Tokyo

All 2022 2021 2020

All Journal Article Presentation

[Journal Article] Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System2022
- Author(s)
  Jiang Renhe、Cai Zekun、Wang Zhaonan、Yang Chuang、Fan Zipei、Chen Quanjun、Song Xuan、Shibasaki Ryosuke
- Journal Title
  
  ACM Transactions on Intelligent Systems and Technology
  
  Volume: 13 Issue: 2 Pages: 1-24
- DOI
  10.1145/3472300
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19859, KAKENHI-PROJECT-20K19782
[Journal Article] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction2021
- Author(s)
  Jiang Renhe、Yin Du、Wang Zhaonan、Wang Yizhuo、Deng Jiewen、Liu Hangchen、Cai Zekun、Deng Jinliang、Song Xuan、Shibasaki Ryosuke
- Journal Title
  
  Proceedings of 30th ACM International Conference on Information and Knowledge Management (CIKM)
  
  Volume: - Pages: 4515-4525
- DOI
  10.1145/3459637.3482000
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K19859
[Journal Article] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction2021
- Author(s)
  Wang Zhaonan、Jiang Renhe、Cai Zekun、Fan Zipei、Liu Xin、Kim Kyoung-Sook、Song Xuan、Shibasaki Ryosuke
- Journal Title
  
  Proceedings of 30th ACM International Conference on Information and Knowledge Management (CIKM)
  
  Volume: - Pages: 2060-2069
- DOI
  10.1145/3459637.3482482
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19859, KAKENHI-PROJECT-21K12042, KAKENHI-PROJECT-20K19782
[Journal Article] Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks2021
- Author(s)
  Wang Zhaonan、Xia Tianqi、Jiang Renhe、Liu Xin、Kim Kyoung-Sook、Song Xuan、Shibasaki Ryosuke
- Journal Title
  
  Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE)
  
  Volume: - Pages: 1751-1762
- DOI
  10.1109/icde51399.2021.00154
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K19859
[Journal Article] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction2021
- Author(s)
  Jiang Renhe、Cai Zekun、Wang Zhaonan、Yang Chuang、Fan Zipei、Chen Quanjun、Tsubouchi Kota、Song Xuan、Shibasaki Ryosuke
- Journal Title
  
  IEEE Transactions on Knowledge and Data Engineering
  
  Volume: - Pages: 1-1
- DOI
  10.1109/tkde.2021.3077056
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19782, KAKENHI-PROJECT-20K19859
[Journal Article] Transfer Urban Human Mobility via POI Embedding over Multiple Cities2021
- Author(s)
  Jiang Renhe、Song Xuan、Fan Zipei、Xia Tianqi、Wang Zhaonan、Chen Quanjun、Cai Zekun、Shibasaki Ryosuke
- Journal Title
  
  ACM/IMS Transactions on Data Science
  
  Volume: 2 Issue: 1 Pages: 1-26
- DOI
  10.1145/3416914
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19782, KAKENHI-PROJECT-20K19859, KAKENHI-PROJECT-17H06108
[Presentation] DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction2020
- Author(s)
  Chen Quanjun、Jiang Renhe、Yang Chuang、Cai Zekun、Fan Zipei、Tsubouchi Kota、Shibasaki Ryosuke、Song Xuan
- Organizer
  SIGSPATIAL '20: Proceedings of the 28th International Conference on Advances in Geographic Information Systems
- Data Source
  KAKENHI-PROJECT-20K19859

1. FAN ZIPEI

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Jiang Renhe 姜 仁河

JIANG Renhe 姜 仁河

Research Projects

Research Products

Co-Researchers

AIGMob: Conditional Generative AI for Fine-grained Urban Mobility SimulationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic PredictionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Transfer Urban Human Mobility via POI Embedding over Multiple Cities2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction2020

Author(s)

Organizer

Data Source

Jiang Renhe 姜仁河

JIANG Renhe 姜仁河