Hye Won Chung

According to our database, Hye Won Chung authored at least 42 papers between 2011 and 2024.

Collaborative distances:

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

2024

Detection Problems in the Spiked Random Matrix Models.

Ji Hyung Jung, Hye Won Chung, Ji Oon Lee

IEEE Trans. Inf. Theory, October, 2024

A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits.

Doyeon Kim, Jeonghwan Lee, Hye Won Chung

IEEE Trans. Inf. Theory, 2024

Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning.

Dong Geun Shin, Hye Won Chung

CoRR, 2024

Exact Graph Matching in Correlated Gaussian-Attributed Erdös-Rényi Model.

Joonhyuk Yang, Hye Won Chung

CoRR, 2024

Understanding Self-Distillation and Partial Label Learning in Multi-Class Classification with Label Noise.

Hyeonsu Jeong, Hye Won Chung

CoRR, 2024

Exact Graph Matching in Correlated Gaussian-Attributed Erdős- Rényi Mode.

Joonhyuk Yang, Hye Won Chung

Proceedings of the IEEE International Symposium on Information Theory, 2024

SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching.

Yongmin Lee, Hye Won Chung

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges.

Hoyong Choi, Nohyun Ki, Hye Won Chung

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Detection problems in the spiked matrix models.

Ji Hyung Jung, Hye Won Chung, Ji Oon Lee

CoRR, 2023

Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization.

Daesung Kim, Hye Won Chung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation.

Joonhyuk Yang, Dongpil Shin, Hye Won Chung

Proceedings of the International Conference on Machine Learning, 2023

Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing.

Hyeonsu Jeong, Hye Won Chung

Proceedings of the International Conference on Machine Learning, 2023

Data Valuation Without Training of a Model.

Nohyun Ki, Hoyong Choi, Hye Won Chung

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Test-Time Adaptation via Self-Training with Nearest Neighbor Information.

Minguk Jang, Sae-Young Chung, Hye Won Chung

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering.

Joonhyuk Yang, Hye Won Chung

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Weak Detection in the Spiked Wigner Model.

Hye Won Chung, Ji Oon Lee

IEEE Trans. Inf. Theory, 2022

A Generalized Worker-Task Specialization Model for Crowdsourcing: Optimal Limits and Algorithm.

Doyeon Kim, Jeonghwan Lee, Hye Won Chung

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Binary Classification With XOR Queries: Fundamental Limits and an Efficient Algorithm.

Daesung Kim, Hye Won Chung

IEEE Trans. Inf. Theory, 2021

Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks.

Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Crowdsourced Labeling for Worker-Task Specialization Model.

Doyeon Kim, Hye Won Chung

Proceedings of the IEEE International Symposium on Information Theory, 2021

Detection of Signal in the Spiked Rectangular Models.

Ji Hyung Jung, Hye Won Chung, Ji Oon Lee

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE.

Jeonghwan Lee, Daesung Kim, Hye Won Chung

IEEE J. Sel. Areas Inf. Theory, 2020

Crowdsourced Labeling for Worker-Task Specialization Block Model.

Doyeon Kim, Hye Won Chung

CoRR, 2020

Hypergraph Clustering in the Weighted Stochastic Block Model via Convex Relaxation of Truncated MLE.

Jeonghwan Lee, Daesung Kim, Hye Won Chung

CoRR, 2020

Crowdsourced Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm.

Daesung Kim, Hye Won Chung

CoRR, 2020

Weak Detection in the Spiked Wigner Model with General Rank.

Ji Hyung Jung, Hye Won Chung, Ji Oon Lee

CoRR, 2020

Crowdsourced Classification with XOR Queries: An Algorithm with Optimal Sample Complexity.

Daesung Kim, Hye Won Chung

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution.

Youngjae Min, Hye Won Chung

Proceedings of the IEEE International Symposium on Information Theory, 2019

Weak Detection of Signal in the Spiked Wigner Model.

Hye Won Chung, Ji Oon Lee

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem.

Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III

IEEE Trans. Inf. Theory, 2018

Parity Crowdsourcing for Cooperative Labeling.

Hye Won Chung, Ji Oon Lee, Doyeon Kim, Alfred O. Hero III

CoRR, 2018

Fundamental Limits on Data Acquisition: Trade-offs Between Sample Complexity and Query Difficulty.

Hye Won Chung, Ji Oon Lee, Alfred O. Hero III

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Trade-offs Between Query Difficulty and Sample Complexity in Crowdsourced Data Acquisition.

Hye Won Chung, Ji Oon Lee, Doyeon Kim, Alfred O. Hero III

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Bounds on Variance for Unimodal Distributions.

Hye Won Chung, Brian M. Sadler, Alfred O. Hero III

IEEE Trans. Inf. Theory, 2017

2016

Superadditivity of Quantum Channel Coding Rate With Finite Blocklength Joint Measurements.

Hye Won Chung, Saikat Guha, Lizhong Zheng

IEEE Trans. Inf. Theory, 2016

On capacity of optical communications over a lossy bosonic channel with a receiver employing the most general coherent electro-optic feedback control.

Hye Won Chung, Saikat Guha, Lizhong Zheng

CoRR, 2016

Unequal error protection coding approaches to the noisy 20 questions problem.

Hye Won Chung, Lizhong Zheng, Brian M. Sadler, Alfred O. Hero III

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Bounds on variance for symmetric unimodal distributions.

Hye Won Chung, Brian M. Sadler, Alfred O. Hero III

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Extracting classical information from quantum states: fundamental limits, adaptive and finite-length measurements.

Hye Won Chung

PhD thesis, 2014

Superadditivity of quantum channel coding rate with finite blocklength quantum measurements.

Hye Won Chung, Saikat Guha, Lizhong Zheng

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Superadditivity of quantum channel coding rate with finite blocklength quantum measurements.

Hye Won Chung, Lizhong Zheng

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2011

On capacity of optical channels with coherent detection.

Hye Won Chung, Saikat Guha, Lizhong Zheng

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011