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Books and Theses
- 2014
[b1]Hye Won Chung:
Extracting classical information from quantum states: fundamental limits, adaptive and finite-length measurements. Massachusetts Institute of Technology, Cambridge, MA, USA, 2014
Journal Articles
- 2024
- [j8]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): 2076-2117 (2024) - [j7]Ji Hyung Jung, Hye Won Chung, Ji Oon Lee:
Detection Problems in the Spiked Random Matrix Models. IEEE Trans. Inf. Theory 70(10): 7193-7231 (2024) - 2022
- [j6]Hye Won Chung, Ji Oon Lee:
Weak Detection in the Spiked Wigner Model. IEEE Trans. Inf. Theory 68(11): 7427-7453 (2022) - 2021
- [j5]Daesung Kim, Hye Won Chung:
Binary Classification With XOR Queries: Fundamental Limits and an Efficient Algorithm. IEEE Trans. Inf. Theory 67(7): 4588-4612 (2021) - 2020
- [j4]Jeonghwan Lee, Daesung Kim, Hye Won Chung:
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE. IEEE J. Sel. Areas Inf. Theory 1(3): 613-631 (2020) - 2018
- [j3]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): 1105-1131 (2018) - 2017
- [j2]Hye Won Chung, Brian M. Sadler, Alfred O. Hero III:
Bounds on Variance for Unimodal Distributions. IEEE Trans. Inf. Theory 63(11): 6936-6949 (2017) - 2016
- [j1]Hye Won Chung, Saikat Guha, Lizhong Zheng:
Superadditivity of Quantum Channel Coding Rate With Finite Blocklength Joint Measurements. IEEE Trans. Inf. Theory 62(10): 5938-5959 (2016)
Conference and Workshop Papers
- 2024
- [c25]Hoyong Choi, Nohyun Ki, Hye Won Chung:
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges. ICML 2024 - [c24]Yongmin Lee, Hye Won Chung:
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching. ICML 2024 - [c23]Joonhyuk Yang, Hye Won Chung:
Exact Graph Matching in Correlated Gaussian-Attributed Erdős- Rényi Mode. ISIT 2024: 3450-3455 - 2023
- [c22]Joonhyuk Yang, Hye Won Chung:
Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering. Allerton 2023: 1-8 - [c21]Minguk Jang, Sae-Young Chung, Hye Won Chung:
Test-Time Adaptation via Self-Training with Nearest Neighbor Information. ICLR 2023 - [c20]Nohyun Ki, Hoyong Choi, Hye Won Chung:
Data Valuation Without Training of a Model. ICLR 2023 - [c19]Hyeonsu Jeong, Hye Won Chung:
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing. ICML 2023: 14836-14868 - [c18]Joonhyuk Yang, Dongpil Shin, Hye Won Chung:
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation. ICML 2023: 39416-39452 - [c17]Daesung Kim, Hye Won Chung:
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization. NeurIPS 2023 - 2022
- [c16]Doyeon Kim, Jeonghwan Lee, Hye Won Chung:
A Generalized Worker-Task Specialization Model for Crowdsourcing: Optimal Limits and Algorithm. ISIT 2022: 1483-1488 - 2021
- [c15]Ji Hyung Jung, Hye Won Chung, Ji Oon Lee:
Detection of Signal in the Spiked Rectangular Models. ICML 2021: 5158-5167 - [c14]Doyeon Kim, Hye Won Chung:
Crowdsourced Labeling for Worker-Task Specialization Model. ISIT 2021: 3191-3195 - [c13]Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung:
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks. NeurIPS 2021: 1925-1938 - 2020
- [c12]Daesung Kim, Hye Won Chung:
Crowdsourced Classification with XOR Queries: An Algorithm with Optimal Sample Complexity. ISIT 2020: 2551-2555 - 2019
- [c11]Hye Won Chung, Ji Oon Lee:
Weak Detection of Signal in the Spiked Wigner Model. ICML 2019: 1233-1241 - [c10]Youngjae Min, Hye Won Chung:
Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution. ISIT 2019: 1812-1816 - 2018
- [c9]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: 639-646 - [c8]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: 4424-4428 - [c7]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: 681-685 - 2016
- [c6]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: 1700-1704 - 2015
- [c5]Hye Won Chung, Brian M. Sadler, Alfred O. Hero III:
Bounds on variance for symmetric unimodal distributions. Allerton 2015: 1235-1240 - 2014
- [c4]Hye Won Chung, Saikat Guha, Lizhong Zheng:
Superadditivity of quantum channel coding rate with finite blocklength quantum measurements. ISIT 2014: 901-905 - 2013
- [c3]Hye Won Chung, Lizhong Zheng:
Superadditivity of quantum channel coding rate with finite blocklength quantum measurements. Allerton 2013: 810-817 - 2011
- [c2]Hye Won Chung, Saikat Guha, Lizhong Zheng:
On capacity of optical channels with coherent detection. Allerton 2011: 879-885 - [c1]Hye Won Chung, Saikat Guha, Lizhong Zheng:
On capacity of optical channels with coherent detection. ISIT 2011: 284-288
Informal and Other Publications
- 2024
- [i26]Hyeonsu Jeong, Hye Won Chung:
Understanding Self-Distillation and Partial Label Learning in Multi-Class Classification with Label Noise. CoRR abs/2402.10482 (2024) - [i25]Hoyong Choi, Nohyun Ki, Hye Won Chung:
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges. CoRR abs/2406.03057 (2024) - [i24]Yongmin Lee, Hye Won Chung:
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching. CoRR abs/2406.18561 (2024) - [i23]Joonhyuk Yang, Hye Won Chung:
Exact Graph Matching in Correlated Gaussian-Attributed Erdös-Rényi Model. CoRR abs/2407.12604 (2024) - [i22]Dong Geun Shin, Hye Won Chung:
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning. CoRR abs/2408.10676 (2024) - 2023
- [i21]Hyeonsu Jeong, Hye Won Chung:
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing. CoRR abs/2301.00006 (2023) - [i20]Nohyun Ki, Hoyong Choi, Hye Won Chung:
Data Valuation Without Training of a Model. CoRR abs/2301.00930 (2023) - [i19]Ji Hyung Jung, Hye Won Chung, Ji Oon Lee:
Detection problems in the spiked matrix models. CoRR abs/2301.05331 (2023) - [i18]Joonhyuk Yang, Dongpil Shin, Hye Won Chung:
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation. CoRR abs/2305.19666 (2023) - [i17]Joonhyuk Yang, Hye Won Chung:
Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering. CoRR abs/2309.05182 (2023) - 2022
- [i16]Daesung Kim, Hye Won Chung:
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization. CoRR abs/2212.09396 (2022) - 2021
- [i15]Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung:
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks. CoRR abs/2102.12033 (2021) - [i14]Ji Hyung Jung, Hye Won Chung, Ji Oon Lee:
Detection of Signal in the Spiked Rectangular Models. CoRR abs/2104.13517 (2021) - [i13]Doyeon Kim, Jeonghwan Lee, Hye Won Chung:
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits. CoRR abs/2111.12550 (2021) - 2020
- [i12]Ji Hyung Jung, Hye Won Chung, Ji Oon Lee:
Weak Detection in the Spiked Wigner Model with General Rank. CoRR abs/2001.05676 (2020) - [i11]Daesung Kim, Hye Won Chung:
Crowdsourced Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm. CoRR abs/2001.11775 (2020) - [i10]Jeonghwan Lee, Daesung Kim, Hye Won Chung:
Hypergraph Clustering in the Weighted Stochastic Block Model via Convex Relaxation of Truncated MLE. CoRR abs/2003.10038 (2020) - [i9]Doyeon Kim, Hye Won Chung:
Crowdsourced Labeling for Worker-Task Specialization Block Model. CoRR abs/2004.00101 (2020) - 2019
- [i8]Youngjae Min, Hye Won Chung:
Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution. CoRR abs/1904.09109 (2019) - 2018
- [i7]Hye Won Chung, Ji Oon Lee, Doyeon Kim, Alfred O. Hero III:
Parity Crowdsourcing for Cooperative Labeling. CoRR abs/1809.00901 (2018) - [i6]Hye Won Chung, Ji Oon Lee:
Weak detection in the spiked Wigner model. CoRR abs/1809.10827 (2018) - 2017
- [i5]Hye Won Chung, Ji Oon Lee, Alfred O. Hero III:
Fundamental Limits on Data Acquisition: Trade-offs between Sample Complexity and Query Difficulty. CoRR abs/1712.00157 (2017) - 2016
- [i4]Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III:
Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. CoRR abs/1606.09233 (2016) - [i3]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 abs/1610.07578 (2016) - 2015
- [i2]Hye Won Chung, Brian M. Sadler, Alfred O. Hero III:
Bounds on Variance for Symmetric Unimodal Distributions. CoRR abs/1510.08341 (2015) - 2013
- [i1]Hye Won Chung, Saikat Guha, Lizhong Zheng:
Superadditivity of Quantum Channel Coding Rate with Finite Blocklength Quantum Measurements. CoRR abs/1310.3793 (2013)
Coauthor Index
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