Byung-Hak Kim

According to our database, Byung-Hak Kim authored at least 16 papers between 2010 and 2023.

Collaborative distances:

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

2023

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging.

Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen

CoRR, 2023

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision.

Makiya Nakashima, Donna Salem, HW Wilson Tang, Christopher Nguyen, Tae-Hyun Hwang, Ding Zhao, Byung-Hak Kim, Deborah Kwon, David Chen

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild.

Weiyao Wang, Byung-Hak Kim, Varun Ganapathi

CoRR, 2022

Medical Codes Prediction from Clinical Notes: From Human Coders to Machines.

Byung-Hak Kim

CoRR, 2022

Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?

Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines.

Byung-Hak Kim, Varun Ganapathi

Proceedings of the Machine Learning for Healthcare Conference, 2021

2020

Deep Claim: Payer Response Prediction from Claims Data with Deep Learning.

Byung-Hak Kim, Seshadri Sridharan, Andy Atwal, Varun Ganapathi

CoRR, 2020

2019

LumièreNet: Lecture Video Synthesis from Audio.

Byung-Hak Kim, Varun Ganapathi

CoRR, 2019

Deep Learning to Predict Student Outcomes.

Byung-Hak Kim

CoRR, 2019

2018

GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation.

Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi

CoRR, 2018

GritNet: Student Performance Prediction with Deep Learning.

Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

Deep Learning-Based Telephony Speech Recognition in the Wild.

Kyu Jeong Han, Seongjun Hahm, Byung-Hak Kim, Jungsuk Kim, Ian R. Lane

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2011

Joint Decoding of LDPC Codes and Finite-State Channels Via Linear-Programming.

Byung-Hak Kim, Henry D. Pfister

IEEE J. Sel. Top. Signal Process., 2011

An Iterative Joint Linear-Programming Decoding of LDPC Codes and Finite-State Channels.

Byung-Hak Kim, Henry D. Pfister

Proceedings of IEEE International Conference on Communications, 2011

2010

IMP: A Message-Passing Algorithmfor Matrix Completion

Byung-Hak Kim, Arvind Yedla, Henry D. Pfister

CoRR, 2010

Message-Passing Inference on a Factor Graph for Collaborative Filtering

Byung-Hak Kim, Arvind Yedla, Henry D. Pfister

CoRR, 2010