Hye Won Chung

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 49

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

ICML

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Hyeonsu Jeong, Hye Won Chung
Understanding Self-Distillation and Partial Label Learning in Multi-Class Classification with Label Noise. CoRR (2024)
Yongmin Lee, Hye Won Chung
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching. CoRR (2024)
Doyeon Kim, Jeonghwan Lee, Hye Won Chung
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits. IEEE Trans. Inf. Theory 70 (3) (2024)
Joonhyuk Yang, Hye Won Chung
Exact Graph Matching in Correlated Gaussian-Attributed Erdös-Rényi Model. CoRR (2024)
Hoyong Choi, Nohyun Ki, Hye Won Chung
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges. CoRR (2024)
Hyeonsu Jeong, Hye Won Chung
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing. CoRR (2023)
Joonhyuk Yang, Dongpil Shin, Hye Won Chung
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation. CoRR (2023)
Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
Detection problems in the spiked matrix models. CoRR (2023)
Minguk Jang, Sae-Young Chung, Hye Won Chung
Test-Time Adaptation via Self-Training with Nearest Neighbor Information. ICLR (2023)
Daesung Kim, Hye Won Chung
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization. NeurIPS (2023)
Joonhyuk Yang, Hye Won Chung
Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering. Allerton (2023)
Nohyun Ki, Hoyong Choi, Hye Won Chung
Data Valuation Without Training of a Model. CoRR (2023)
Joonhyuk Yang, Dongpil Shin, Hye Won Chung
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation. ICML (2023)
Nohyun Ki, Hoyong Choi, Hye Won Chung
Data Valuation Without Training of a Model. ICLR (2023)
Hyeonsu Jeong, Hye Won Chung
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing. ICML (2023)
Joonhyuk Yang, Hye Won Chung
Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering. CoRR (2023)
Daesung Kim, Hye Won Chung
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization. CoRR (2022)
Hye Won Chung, Ji Oon Lee
Weak Detection in the Spiked Wigner Model. IEEE Trans. Inf. Theory 68 (11) (2022)
Doyeon Kim, Jeonghwan Lee, Hye Won Chung
A Generalized Worker-Task Specialization Model for Crowdsourcing: Optimal Limits and Algorithm. ISIT (2022)
Doyeon Kim, Jeonghwan Lee, Hye Won Chung
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits. CoRR (2021)
Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
Detection of Signal in the Spiked Rectangular Models. CoRR (2021)
Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks. NeurIPS (2021)
Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
Detection of Signal in the Spiked Rectangular Models. ICML (2021)
Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks. CoRR (2021)
Doyeon Kim, Hye Won Chung
Crowdsourced Labeling for Worker-Task Specialization Model. ISIT (2021)
Daesung Kim, Hye Won Chung
Binary Classification With XOR Queries: Fundamental Limits and an Efficient Algorithm. IEEE Trans. Inf. Theory 67 (7) (2021)
Doyeon Kim, Hye Won Chung
Crowdsourced Labeling for Worker-Task Specialization Block Model. CoRR (2020)
Jeonghwan Lee, Daesung Kim, Hye Won Chung
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Jeonghwan Lee, Daesung Kim, Hye Won Chung
Hypergraph Clustering in the Weighted Stochastic Block Model via Convex Relaxation of Truncated MLE. CoRR (2020)
Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
Weak Detection in the Spiked Wigner Model with General Rank. CoRR (2020)
Daesung Kim, Hye Won Chung
Crowdsourced Classification with XOR Queries: An Algorithm with Optimal Sample Complexity. ISIT (2020)
Daesung Kim, Hye Won Chung
Crowdsourced Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm. CoRR (2020)
Youngjae Min, Hye Won Chung
Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution. CoRR (2019)
Youngjae Min, Hye Won Chung
Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution. ISIT (2019)
Hye Won Chung, Ji Oon Lee
Weak Detection of Signal in the Spiked Wigner Model. ICML (2019)
Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III
Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. ICASSP (2018)
Hye Won Chung, Ji Oon Lee
Weak detection in the spiked Wigner model. CoRR (2018)
Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III
Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. IEEE Trans. Inf. Theory 64 (2) (2018)
Hye Won Chung, Ji Oon Lee, Doyeon Kim, Alfred O. Hero III
Trade-offs Between Query Difficulty and Sample Complexity in Crowdsourced Data Acquisition. Allerton (2018)
Hye Won Chung, Ji Oon Lee, Doyeon Kim, Alfred O. Hero III
Parity Crowdsourcing for Cooperative Labeling. CoRR (2018)
Hye Won Chung, Ji Oon Lee, Alfred O. Hero III
Fundamental Limits on Data Acquisition: Trade-offs Between Sample Complexity and Query Difficulty. ISIT (2018)
Hye Won Chung, Ji Oon Lee, Alfred O. Hero III
Fundamental Limits on Data Acquisition: Trade-offs between Sample Complexity and Query Difficulty. CoRR (2017)
Hye Won Chung, Brian M. Sadler, Alfred O. Hero III
Bounds on Variance for Unimodal Distributions. IEEE Trans. Inf. Theory 63 (11) (2017)
Hye Won Chung, Saikat Guha, Lizhong Zheng
On capacity of optical communications over a lossy bosonic channel with a receiver employing the most general coherent electro-optic feedback control. CoRR (2016)
Hye Won Chung, Lizhong Zheng, Brian M. Sadler, Alfred O. Hero III
Unequal error protection coding approaches to the noisy 20 questions problem. ISIT (2016)
Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III
Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. CoRR (2016)
Hye Won Chung, Saikat Guha, Lizhong Zheng
Superadditivity of Quantum Channel Coding Rate With Finite Blocklength Joint Measurements. IEEE Trans. Inf. Theory 62 (10) (2016)
Hye Won Chung, Brian M. Sadler, Alfred O. Hero III
Bounds on variance for symmetric unimodal distributions. Allerton (2015)
Hye Won Chung, Brian M. Sadler, Alfred O. Hero III
Bounds on Variance for Symmetric Unimodal Distributions. CoRR (2015)
Hye Won Chung, Saikat Guha, Lizhong Zheng
Superadditivity of quantum channel coding rate with finite blocklength quantum measurements. ISIT (2014)
Hye Won Chung, Lizhong Zheng
Superadditivity of quantum channel coding rate with finite blocklength quantum measurements. Allerton (2013)
Hye Won Chung, Saikat Guha, Lizhong Zheng
Superadditivity of Quantum Channel Coding Rate with Finite Blocklength Quantum Measurements. CoRR (2013)
Hye Won Chung, Saikat Guha, Lizhong Zheng
On capacity of optical channels with coherent detection. ISIT (2011)
Hye Won Chung, Saikat Guha, Lizhong Zheng
On capacity of optical channels with coherent detection. Allerton (2011)

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Publication Activity (10 Years)

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Hye Won Chung