Po-Hao Chen

According to our database, Po-Hao Chen authored at least 20 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems.

Sonia Horchidan, Po-Hao Chen, Emmanouil Kritharakis, Paris Carbone, Vasiliki Kalavri

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

In situ neighborhood sampling for large-scale GNN training.

Yuhang Song, Po-Hao Chen, Yuchen Lu, Naima Abrar, Vasiliki Kalavri

Proceedings of the 20th International Workshop on Data Management on New Hardware, 2024

2023

A Survey of Potential MPI Complex Collectives: Large-Scale Mining and Analysis of HPC Applications.

Pouya Haghi, Ryan J. Marshall, Po-Hao Chen, Anthony Skjellum, Martin C. Herbordt

CoRR, 2023

FLASH: FPGA-Accelerated Smart Switches with GCN Case Study.

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

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data.

Brian Arun Xavier, Po-Hao Chen

J. Digit. Imaging, 2022

Big Memory Servers and Modern Approaches to Disk-Based Computation.

Po-Hao Chen, Kurt Keville

CoRR, 2022

The Viability of Using Online Prediction to Perform Extra Work while Executing BSP Applications.

Po-Hao Chen, Pouya Haghi, Jae Yoon Chung, Tong Geng, Richard West, Anthony Skjellum, Martin C. Herbordt

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

2021

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

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

J. Digit. Imaging, 2021

Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations.

Po-Hao Chen, Robert Bodak, Namita S. Gandhi

J. Digit. Imaging, 2021

2020

ISLab System for SMM4H Shared Task 2020.

Chen-Kai Wang, Hong-Jie Dai, You-Chen Zhang, Bo-Chun Xu, Bo-Hong Wang, You-Ning Xu, Po-Hao Chen, Chung-Hong Lee

Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020

An Application of Text Detection and Recognition for Electronic Design Automation.

Chih-Chang Yu, Hsiao-Wei Chen, Tzu-Ying Chen, Po-Hao Chen, Hsu-Yung Cheng

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2020

2019

Deep Learning-Constructed Joint Transmission-Recognition for Internet of Things.

Chia-Han Lee, Jia-Wei Lin, Po-Hao Chen, Yu-Chieh Chang

IEEE Access, 2019

2018

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.

Po-Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg, Tessa Sundaram Cook

J. Digit. Imaging, 2018

IoT in Radiology: Using Raspberry Pi to Automatically Log Telephone Calls in the Reading Room.

Po-Hao Chen, Nathan M. Cross

J. Digit. Imaging, 2018

Educational Model Based on Hands-on Brain-Computer Interface: Implementation of Music Composition Using EEG.

Pei-Chi Hu, Po-Hao Chen, Po-Chih Kuo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

Physical-aware diagnosis of multiple interconnect defects.

Po-Hao Chen, Chi-Lin Lee, Jing-Yu Chen, Po-Wei Chen, James Chien-Mo Li

Proceedings of the International Test Conference in Asia, 2017

2016

Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA).

Po-Hao Chen, Thomas W. Loehfelm, Aaron P. Kamer, Andrew B. Lemmon, Tessa Sundaram Cook, Marc D. Kohli

J. Digit. Imaging, 2016

2014

Divide and conquer diagnosis for multiple defects.

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

Proceedings of the 2014 International Test Conference, 2014

2010

A Multi-Voting Enhancement for Newborn Screening Healthcare Information System.

Sung-Huai Hsieh, Po-Hsun Cheng, Chi-Huang Chen, Kuo-Hsuan Huang, Po-Hao Chen, Yung-Ching Weng, Sheau-Ling Hsieh, Feipei Lai

J. Medical Syst., 2010

2009

Newborn Screening System Based on Adaptive Feature Selection and Support Vector Machines.

Sung-Huai Hsieh, Yin-Hsiu Chien, Chia-Ping Shen, Wei-Hsin Chen, Po-Hao Chen, Sheau-Ling Hsieh, Po-Hsun Cheng, Feipei Lai

Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009