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2020 – today
- 2024
[c10]Yuhang Song
, Po-Hao Chen, Yuchen Lu, Naima Abrar, Vasiliki Kalavri:
In situ neighborhood sampling for large-scale GNN training. DaMoN 2024: 11:1-11:5- [c9]Sonia Horchidan, Po-Hao Chen, Emmanouil Kritharakis, Paris Carbone, Vasiliki Kalavri:
Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems. EDBT 2024: 676-689 - 2023
- [c8]Pouya Haghi, William Krska, Cheng Tan, Tong Geng, Po-Hao Chen, Connor Greenwood, Anqi Guo, Thomas M. Hines, Chunshu Wu, Ang Li, Anthony Skjellum, Martin C. Herbordt:
FLASH: FPGA-Accelerated Smart Switches with GCN Case Study. ICS 2023: 450-462 - [i2]Pouya Haghi, Ryan J. Marshall, Po-Hao Chen, Anthony Skjellum, Martin C. Herbordt:
A Survey of Potential MPI Complex Collectives: Large-Scale Mining and Analysis of HPC Applications. CoRR abs/2305.19946 (2023) - 2022
- [j8]Brian Arun Xavier, Po-Hao Chen:
Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data. J. Digit. Imaging 35(5): 1120-1130 (2022) - [c7]Po-Hao Chen, Pouya Haghi, Jae Yoon Chung, Tong Geng, Richard West, Anthony Skjellum, Martin C. Herbordt:
The Viability of Using Online Prediction to Perform Extra Work while Executing BSP Applications. HPEC 2022: 1-7 - [i1]Po-Hao Chen, Kurt Keville:
Big Memory Servers and Modern Approaches to Disk-Based Computation. CoRR abs/2207.11407 (2022) - 2021
- [j7]Po-Hao Chen, Robert Bodak, Namita S. Gandhi:
Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations. J. Digit. Imaging 34(3): 731-740 (2021) - [j6]Jeffrey D. Rudie, Jeffrey T. Duda, Michael Tran Duong, Po-Hao Chen, Long Xie, Robert Kurtz, Jeffrey B. Ware, Joshua Choi, Raghav R. Mattay, Emmanuel J. Botzolakis, James C. Gee, R. Nick Bryan, Tessa Sundaram Cook, Suyash Mohan, Ilya M. Nasrallah, Andreas M. Rauschecker:
Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. J. Digit. Imaging 34(4): 1049-1058 (2021) - 2020
- [c6]Chih-Chang Yu, Hsiao-Wei Chen, Tzu-Ying Chen, Po-Hao Chen, Hsu-Yung Cheng:
An Application of Text Detection and Recognition for Electronic Design Automation. ICCE-TW 2020: 1-2 - [c5]Chen-Kai Wang, Hong-Jie Dai, You-Chen Zhang, Bo-Chun Xu, Bo-Hong Wang, You-Ning Xu, Po-Hao Chen, Chung-Hong Lee:
ISLab System for SMM4H Shared Task 2020. SMM4H@COLING 2020: 42-45
2010 – 2019
- 2019
- [j5]Chia-Han Lee, Jia-Wei Lin, Po-Hao Chen, Yu-Chieh Chang:
Deep Learning-Constructed Joint Transmission-Recognition for Internet of Things. IEEE Access 7: 76547-76561 (2019) - 2018
- [j4]Po-Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg, Tessa Sundaram Cook:
Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports. J. Digit. Imaging 31(2): 178-184 (2018) - [j3]Po-Hao Chen, Nathan M. Cross:
IoT in Radiology: Using Raspberry Pi to Automatically Log Telephone Calls in the Reading Room. J. Digit. Imaging 31(3): 371-378 (2018) - [c4]Pei-Chi Hu, Po-Hao Chen, Po-Chih Kuo:
Educational Model Based on Hands-on Brain-Computer Interface: Implementation of Music Composition Using EEG. SMC 2018: 982-985 - 2017
- [c3]Po-Hao Chen, Chi-Lin Lee, Jing-Yu Chen, Po-Wei Chen, James Chien-Mo Li:
Physical-aware diagnosis of multiple interconnect defects. ITC-Asia 2017: 40-45 - 2016
- [j2]Po-Hao Chen, Thomas W. Loehfelm, Aaron P. Kamer, Andrew B. Lemmon, Tessa Sundaram Cook, Marc D. Kohli:
Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA). J. Digit. Imaging 29(6): 638-644 (2016) - 2014
- [c2]Shih-Min Chao, Po-Juei Chen, Jing-Yu Chen, Po-Hao Chen, Ang-Feng Lin, James Chien-Mo Li, Pei-Ying Hsueh, Chun-Yi Kuo, Ying-Yen Chen, Jih-Nung Li:
Divide and conquer diagnosis for multiple defects. ITC 2014: 1-8 - 2010
- [j1]Sung-Huai Hsieh, Po-Hsun Cheng, Chi-Huang Chen, Kuo-Hsuan Huang, Po-Hao Chen, Yung-Ching Weng, Sheau-Ling Hsieh, Feipei Lai:
A Multi-Voting Enhancement for Newborn Screening Healthcare Information System. J. Medical Syst. 34(4): 727-733 (2010)
2000 – 2009
- 2009
- [c1]Sung-Huai Hsieh, Yin-Hsiu Chien, Chia-Ping Shen, Wei-Hsin Chen, Po-Hao Chen, Sheau-Ling Hsieh, Po-Hsun Cheng, Feipei Lai:
Newborn Screening System Based on Adaptive Feature Selection and Support Vector Machines. BIBE 2009: 344-347
Coauthor Index
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