| Job Title |
Assistant Professor |
| Name |
Pei-Yu Hou |
| Email |
|
| Office Tel No. |
88140 |
| Research Expertise |
Operations Management, Statistical Data Analysis, Natural Language Processing,Database Management |
| Teaching Field |
Operations and Supply Chain Management |
| Year |
Paper Title |
| 2025 |
Daniel Korn;Pei-Yu Hou;Kara Schatz;Jon-Michael Beasley;Alexander Tropsha;Rada Chirkova, 2025.01, 'Towards Improving the Efficiency of Drug Repurposing by Leveraging Node Promiscuity in Biomedical Knowledge Graphs, ' ACM Transactions on Computing for Healthcare, Vol.6, No.1, pp.Article 8.(ACM), vol. 137740, Jan. 2025
|
| 2023 |
Katia Chirkova*;Pei-Yu Hou;Rada Chirkova;Angélique Amelot, 2023.01, 'Acoustic Correlates of Prominence in Kala Lizu (Tibeto-Burman), ' Journal of Chinese Linguistics, Vol.51, No.1, pp.101-146.(SSCI, SCOPUS)(*為通訊作者), vol. 142040, Jan. 2023
|
| Year |
Paper Title |
| 2024 |
Daniel Korn;Jon-Michael Beasley; Kara Schatz;Pei-Yu Hou; Alexander Tropsha;Rada Chirkova, 2024.12, 'FPP-Hunter: Expert-Guided Discovery Of Functional Path Patterns, ' 2024 IEEE International Conference on Big Data (BigData), IEEE, pp.4023-4032.(IEEE), Dec. 2024 |
| 2023 |
Kara Schatz;Pei-Yu Hou;Alexey V Gulyuk;Yaroslava G Yingling;Rada Chirkova*, 2023.12, 'BUILD-KG: Integrating Heterogeneous Data Into Analytics-Enabling Knowledge Graphs, ' 2023 IEEE International Conference on Big Data (BigData), IEEE, pp.2965-2974.(IEEE)(*為通訊作者), Dec. 2023 |
| 2023 |
Pei-Yu Hou*;Jing Ao;Kara Schatz;Alexey V Gulyuk;Yaroslava G Yingling;Rada Chirkova, 2023.11, 'Provenance-Aware Data Integration and Summarization Querying for Knowledge Graphs, ' International Conference on Information Integration and Web Intelligence, Springer, pp.293–308.(EI, DBLP, SCOPUS)(*為通訊作者), Nov. 2023 |
| 2022 |
Pei-Yu Hou;Daniel R. Korn;Cleber C. Melo-Filho;David R. Wright;Alexander Tropsha;Rada Chirkova*, 2022.06, 'Compact Walks: Taming Knowledge-Graph Embeddings with Domain- and Task-Specific Pathways, ' Proceedings of the 2022 International Conference on Management of Data (SIGMOD '22), Association for Computing Machinery.(ACM)(*為通訊作者), Jun. 2022 |
| Project Category |
Year |
Project Title |
Participator |
Job Title |
Period |
Unit |
| MOST Projects |
115 |
具時間屬性之事件導向供應鏈知識圖譜建構與因果推理方法研究(2/2) |
HOU PEI-YU |
Principal Investigator |
2027.08 ~ 2028.07 |
National Science and Technology Council |
| MOST Projects |
115 |
具時間屬性之事件導向供應鏈知識圖譜建構與因果推理方法研究(1/2) |
HOU PEI-YU |
Principal Investigator |
2026.08 ~ 2028.07 |
National Science and Technology Council |
| MOST Projects |
114 |
利用AI模型建構並探索供應鏈網路(2/2) |
HOU PEI-YU |
Principal Investigator |
2026.03 ~ 2027.02 |
National Science and Technology Council |
| MOST Projects |
114 |
利用AI模型建構並探索供應鏈網路(1/2) |
HOU PEI-YU |
Principal Investigator |
2025.03 ~ 2027.02 |
National Science and Technology Council |
| Country |
School Name |
Department |
Degree |
Duration |
| U.S.A. |
美國北卡羅來納州立大學 |
工業與系統工程學系 |
博士 |
2017.01 ~ 2023.05 |
| Experience Category |
Organization Title |
Department |
Job Title |
Duration |
| Current |
NATIONAL CHENGCHI UNIVERSITY |
Department of Business Administration |
助理教授 |
2024.08 ~ Up to today |
