Message-Passing Inference on a Factor Graph for Collaborative Filtering - Byung-Hak Kim; Arvind Yedla; Henry D. Pfister (CoRR, 2010)

IMP: A Message-Passing Algorithmfor Matrix Completion - Byung-Hak Kim; Arvind Yedla; Henry D. Pfister (CoRR, 2010)

An Iterative Joint Linear-Programming Decoding of LDPC Codes and Finite-State Channels. - Byung-Hak Kim; Henry D. Pfister (ICC, 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)

Deep Learning-Based Telephony Speech Recognition in the Wild. - Kyu Jeong Han; Seongjun Hahm; Byung-Hak Kim; Jungsuk Kim; Ian R. Lane (INTERSPEECH, 2017)

GritNet: Student Performance Prediction with Deep Learning. - Byung-Hak Kim; Ethan Vizitei; Varun Ganapathi (EDM, 2018)

GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation. - Byung-Hak Kim; Ethan Vizitei; Varun Ganapathi (CoRR, 2018)

Deep Learning to Predict Student Outcomes. - Byung-Hak Kim (CoRR, 2019)

LumièreNet: Lecture Video Synthesis from Audio. - Byung-Hak Kim; Varun Ganapathi (CoRR, 2019)

Deep Claim: Payer Response Prediction from Claims Data with Deep Learning. - Byung-Hak Kim; Seshadri Sridharan; Andy Atwal; Varun Ganapathi (CoRR, 2020)

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines. - Byung-Hak Kim; Varun Ganapathi (MLHC, 2021)

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 (LOUHI@EMNLP, 2022)

Medical Codes Prediction from Clinical Notes: From Human Coders to Machines. - Byung-Hak Kim (CoRR, 2022)

RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild. - Weiyao Wang 002; Byung-Hak Kim; Varun Ganapathi (CoRR, 2022)

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. - Makiya Nakashima; Donna Salem; W. H. Wilson Tang; Christopher Nguyen; Tae-Hyun Hwang; Ding Zhao; Byung-Hak Kim; Deborah Kwon; David Chen 006 (MLHC, 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 001; Christopher Nguyen; Byung-Hak Kim; Debbie Kwon; Douglas Weber; Ding Zhao; et al. (CoRR, 2023)

NexusSum: Hierarchical LLM Agents for Long-Form Narrative Summarization. - Hyuntak Kim; Byung-Hak Kim (ACL (1), 2025)

Agent-as-Judge for Factual Summarization of Long Narratives. - Yeonseok Jeong; Minsoo Kim; Seung-won Hwang; Byung-Hak Kim (CoRR, 2025)

CREFT: Sequential Multi-Agent LLM for Character Relation Extraction. - Ye Eun Chun; Taeyoon Hwang; Seung-won Hwang; Byung-Hak Kim (CoRR, 2025)

DIAMOND: An LLM-Driven Agent for Context-Aware Baseball Highlight Summarization. - Jeonghun Kang; Soonmok Kwon; Joonseok Lee; Byung-Hak Kim (CoRR, 2025)