Juyong Kim

15 papers A* 2A 1Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Knowledge-Enriched Machine Learning for Tabular Data.
NeuS
Juyong Kim, Chandler Squires, Pradeep Ravikumar
2025 J jnl
MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction.
CoRR
Jing Wang, Xing Niu, Juyong Kim, Jie Shen, Tong Zhang, Jeremy C. Weiss
2024 — conf
Using Multimodal Data to Improve Precision of Inpatient Event Timelines.
PKDD (4)
Gabriel Frattallone-Llado, Juyong Kim, Cheng Cheng, Diego Salazar, Smitha Edakalavan, Jeremy C. Weiss
2024 A* conf
WHAM: Reconstructing World-Grounded Humans with Accurate 3D Motion.
CVPR
Soyong Shin, Juyong Kim, Eni Halilaj, Michael J. Black
2023 J jnl
Individual Fairness Guarantee in Learning with Censorship.
CoRR
Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss
2023 A conf
Individual Fairness Under Uncertainty.
ECAI
Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss
2023 J jnl
WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion.
CoRR
Soyong Shin, Juyong Kim, Eni Halilaj, Michael J. Black
2022 — conf
AnEMIC: A Framework for Benchmarking ICD Coding Models.
EMNLP (Demos)
Juyong Kim, Abheesht Sharma, Suhas Shanbhogue, Jeremy C. Weiss, Pradeep Ravikumar
2022 — conf
Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence.
CHIL
Juyong Kim, Jeremy C. Weiss, Pradeep Ravikumar
2021 — conf
Improving Compositional Generalization in Classification Tasks via Structure Annotations.
ACL/IJCNLP (2)
Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontañón
2021 J jnl
Improving Compositional Generalization in Classification Tasks via Structure Annotations.
CoRR
Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontañón
2020 — conf
Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches.
ML4H@NeurIPS
Juyong Kim, Linyuan Gong, Justin Khim, Jeremy C. Weiss, Pradeep Ravikumar
2017 A* conf
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization.
ICML
Juyong Kim, Yookoon Park, Gunhee Kim, Sung Ju Hwang
2016 — conf
Taxonomy-Regularized Semantic Deep Convolutional Neural Networks.
ECCV (2)
Wonjoon Goo, Juyong Kim, Gunhee Kim, Sung Ju Hwang
2012 — conf
Actionable topological mapping for navigation using nearby objects.
CASE
Junyoung Kim, Juyong Kim, Seungil You, Yoonseon Oh, Songhwai Oh