Rchr
J-GLOBAL ID：202301013545498033
Update date: Oct. 02, 2024
Bai Zhengyang
ハク ショウヨウ | Bai Zhengyang
Affiliation and department：
Job title：
Postdoctoral Researcher
Research field (1)：
High-performance computing
Research keywords (3)：
HPC
, Task Parallelism
, Parallel Programming Language
Research theme for competitive and other funds (2)：
- 2024 - 2026 Leveraging Ray Casting for Task Splitting over Processing Elements
- 2021 - 2022 Data Locality Aware Dynamic Load Balancing and Its Application to Large Scale Parallelization of Hierarchical Matrices
Papers (7)：
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Kun Yi, Ryu Yamagishi, Jiyi Li, Taishan Li, Zhengyang Bai, Qiang Ma. User-experience oriented POI recommendation with pseudo rating. Multimedia Tools and Applications. 2024
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Kun Yi, Takeyuki Maekawa, Yuntao Kong, Zhengyang Bai, Xisha Jin, Qiang Ma. U-KyotoTrip: A Travel Planning System for User Experience Oriented Trips. Information and Communication Technologies in Tourism 2024. 2024. 339-352
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Kun Yi, Xisha Jin, Zhengyang Bai, Yuntao Kong, Qiang Ma. An Empirical User Study on Congestion-Aware Route Recommendation. Information and Communication Technologies in Tourism 2024. 2024. 325-338
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Jing Xu, Zhengyang Bai, Qiang Ma. Tourist Attractions Prediction with Enhanced Location Knowledge Graph. 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). 2023. 972-979
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Zhengyang Bai, Tasuku Hiraishi, Akihiro Ida, Masahiro Yasugi, Keiichiro Fukazawa. Construction of Hierarchical Matrix on Distributed Memory Systems using a Task Parallel Language. 2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW). 2022. 48-54
ｍore...
MISC (3)：
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Zhengyang Bai. Research on Parallel Hierarchical Matrix Construction. Kyoto University. 2023
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Kun Yi, Ryu Yamagishi, Taishan Li, Zhengyang Bai, Qiang Ma. Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating. arXiv preprint arXiv:2110.06523. 2021
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Zhengyang Bai, Tasuku Hiraishi, Hiroshi Nakashima, Akihiro Ida, Masahiro Yasugi. Implementation of Partitioning of Hierarchical Matrices using Task Parallel Languages. The 48th International Conference on Parallel Processing (ICPP2019) Poster Abstract. 2019
Lectures and oral presentations (9)：
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Leveraging Ray-casting for Task Splitting over Processing Elements
(Cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG2024) 2024)
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Critical Path Detecting by Ray-casting with Ray-tracing Cores Acceleration
(Joint Laboratory for Extreme-Scale Computing (JLESC16) 2024)
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Efficient Edge-Cloud Computing and Communication Platform
(The 6th R-CCS International Symposium 2024)
-
Parallelization of Matrix Partitioning in Hierarchical Matrix Construction Using Node-aware Work Stealing
(the 138th Research Meeting of SIGPRO (PRO-2021-5) 2022)
-
Task Parallel Language Tascell and its Application to Hierarchical Matrices
(The 14th ICT Innovation 2020)
ｍore...
Education (3)：
- 2019 - 2023 Kyoto University Graduate School of Informatics Department of Systems Science
- 2017 - 2019 Kyoto University Graduate School of Informatics Department of Systems Science
- 2011 - 2015 East China Normal University Software Engineering Institute
Work history (4)：
- 2023/05 - 現在 RIKEN RIKEN Center for Computational Science (R-CCS) Postdoctoral Researcher
- 2019/10 - 2023/03 Kyoto University Graduate School of Informatics Research Assistant
- 2021/12 - 2022/03 Kyoto University Graduate School of Informatics Kyoto University Graduate Division Fellow
- 2018/04 - 2020/08 Kyoto University Graduate School of Informatics Teaching assistant
Committee career (1)：
- 2023/06 - 2024/01 The 6th R-CCS International Symposium Organization Committee Poster Chair
Awards (2)：
- 2019/08 - 48th International Conference on Parallel Processing (ICPP2019) Best Poster Award Implementation of Partitioning of Hierarchical Matrices using Task Parallel Languages
- 2019/05 - The 3rd cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG2019) Outstanding Research Award Parallelization of Matrix Partitioning in Construction of Hierarchical Matrices using Task Parallel Languages
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