Gyubok Lee

According to our database1, Gyubok Lee authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
TrustSQL: A Reliability Benchmark for Text-to-SQL Models with Diverse Unanswerable Questions.
CoRR, 2024

2023
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes.
CoRR, 2023

ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploration Into Translation-Equivariant Image Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation.
CoRR, 2021

Erythropoiesis stimulating agent recommendation model using recurrent neural networks for patient with kidney failure with replacement therapy.
Comput. Biol. Medicine, 2021

Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Diverse and Admissible Trajectory Forecasting Through Multimodal Context Understanding.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Unsupervised learning approach for network intrusion detection system using autoencoders.
J. Supercomput., 2019


  Loading...