Hye Won Chung - RankMe

71 papers A* 11B 10Misc 1Journal 43Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder. CoRR Yongmin Lee, Hye Won Chung
2025	J	`jnl`	Exact Matching in Correlated Networks With Node Attributes for Improved Community Recovery. IEEE Trans. Inf. Theory Joonhyuk Yang, Hye Won Chung
2025	J	`jnl`	Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery. CoRR Joonhyuk Yang, Hye Won Chung
2025	B	`conf`	Improved Community Recovery via Exact Matching in Correlated Contextual Stochastic Block Models. ISIT Joonhyuk Yang, Hye Won Chung
2025	J	`jnl`	Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation. Trans. Mach. Learn. Res. Minguk Jang, Hye Won Chung
2025	A*	`conf`	Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels. ICLR Hyeonsu Jeong, Hye Won Chung
2025	J	`jnl`	SNAP: Low-Latency Test-Time Adaptation with Sparse Updates. CoRR Hyeongheon Cha, Dong Min Kim, Hye Won Chung, Taesik Gong, Sung-Ju Lee
2025	J	`jnl`	Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation. CoRR Hongsin Lee, Hye Won Chung
2025	J	`jnl`	VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion. CoRR Jaekyun Park, Hye Won Chung
2024	J	`jnl`	A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits. IEEE Trans. Inf. Theory Doyeon Kim, Jeonghwan Lee, Hye Won Chung
2024	A*	`conf`	BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges. ICML Hoyong Choi, Nohyun Ki, Hye Won Chung
2024	J	`jnl`	BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges. CoRR Hoyong Choi, Nohyun Ki, Hye Won Chung
2024	J	`jnl`	Detection Problems in the Spiked Random Matrix Models. IEEE Trans. Inf. Theory Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
2024	J	`jnl`	Exact Graph Matching in Correlated Gaussian-Attributed Erdös-Rényi Model. CoRR Joonhyuk Yang, Hye Won Chung
2024	B	`conf`	Exact Graph Matching in Correlated Gaussian-Attributed Erdős- Rényi Mode. ISIT Joonhyuk Yang, Hye Won Chung
2024	J	`jnl`	Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation. CoRR Minguk Jang, Hye Won Chung
2024	J	`jnl`	Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning. CoRR Dong Geun Shin, Hye Won Chung
2024	J	`jnl`	Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning. Trans. Mach. Learn. Res. Dong Geun Shin, Hye Won Chung
2024	A*	`conf`	SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching. ICML Yongmin Lee, Hye Won Chung
2024	J	`jnl`	SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching. CoRR Yongmin Lee, Hye Won Chung
2024	J	`jnl`	Understanding Self-Distillation and Partial Label Learning in Multi-Class Classification with Label Noise. CoRR Hyeonsu Jeong, Hye Won Chung
2023	A*	`conf`	Data Valuation Without Training of a Model. ICLR Nohyun Ki, Hoyong Choi, Hye Won Chung
2023	J	`jnl`	Data Valuation Without Training of a Model. CoRR Nohyun Ki, Hoyong Choi, Hye Won Chung
2023	J	`jnl`	Detection problems in the spiked matrix models. CoRR Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
2023	A*	`conf`	Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation. ICML Joonhyuk Yang, Dongpil Shin, Hye Won Chung
2023	J	`jnl`	Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation. CoRR Joonhyuk Yang, Dongpil Shin, Hye Won Chung
2023	—	`conf`	Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering. Allerton Joonhyuk Yang, Hye Won Chung
2023	J	`jnl`	Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering. CoRR Joonhyuk Yang, Hye Won Chung
2023	A*	`conf`	Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization. NeurIPS Daesung Kim, Hye Won Chung
2023	A*	`conf`	Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing. ICML Hyeonsu Jeong, Hye Won Chung
2023	J	`jnl`	Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing. CoRR Hyeonsu Jeong, Hye Won Chung
2023	A*	`conf`	Test-Time Adaptation via Self-Training with Nearest Neighbor Information. ICLR Minguk Jang, Sae-Young Chung, Hye Won Chung
2022	B	`conf`	A Generalized Worker-Task Specialization Model for Crowdsourcing: Optimal Limits and Algorithm. ISIT Doyeon Kim, Jeonghwan Lee, Hye Won Chung
2022	J	`jnl`	Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization. CoRR Daesung Kim, Hye Won Chung
2022	J	`jnl`	Weak Detection in the Spiked Wigner Model. IEEE Trans. Inf. Theory Hye Won Chung, Ji Oon Lee
2021	J	`jnl`	A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits. CoRR Doyeon Kim, Jeonghwan Lee, Hye Won Chung
2021	J	`jnl`	Binary Classification With XOR Queries: Fundamental Limits and an Efficient Algorithm. IEEE Trans. Inf. Theory Daesung Kim, Hye Won Chung
2021	B	`conf`	Crowdsourced Labeling for Worker-Task Specialization Model. ISIT Doyeon Kim, Hye Won Chung
2021	A*	`conf`	Detection of Signal in the Spiked Rectangular Models. ICML Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
2021	J	`jnl`	Detection of Signal in the Spiked Rectangular Models. CoRR Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
2021	A*	`conf`	Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks. NeurIPS Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung
2021	J	`jnl`	Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks. CoRR Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung
2020	B	`conf`	Crowdsourced Classification with XOR Queries: An Algorithm with Optimal Sample Complexity. ISIT Daesung Kim, Hye Won Chung
2020	J	`jnl`	Crowdsourced Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm. CoRR Daesung Kim, Hye Won Chung
2020	J	`jnl`	Crowdsourced Labeling for Worker-Task Specialization Block Model. CoRR Doyeon Kim, Hye Won Chung
2020	J	`jnl`	Hypergraph Clustering in the Weighted Stochastic Block Model via Convex Relaxation of Truncated MLE. CoRR Jeonghwan Lee, Daesung Kim, Hye Won Chung
2020	J	`jnl`	Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE. IEEE J. Sel. Areas Inf. Theory Jeonghwan Lee, Daesung Kim, Hye Won Chung
2020	J	`jnl`	Weak Detection in the Spiked Wigner Model with General Rank. CoRR Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
2019	B	`conf`	Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution. ISIT Youngjae Min, Hye Won Chung
2019	J	`jnl`	Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution. CoRR Youngjae Min, Hye Won Chung
2019	A*	`conf`	Weak Detection of Signal in the Spiked Wigner Model. ICML Hye Won Chung, Ji Oon Lee
2018	B	`conf`	Fundamental Limits on Data Acquisition: Trade-offs Between Sample Complexity and Query Difficulty. ISIT Hye Won Chung, Ji Oon Lee, Alfred O. Hero III
2018	J	`jnl`	Parity Crowdsourcing for Cooperative Labeling. CoRR Hye Won Chung, Ji Oon Lee, Doyeon Kim, Alfred O. Hero III
2018	—	`conf`	Trade-offs Between Query Difficulty and Sample Complexity in Crowdsourced Data Acquisition. Allerton Hye Won Chung, Ji Oon Lee, Doyeon Kim, Alfred O. Hero III
2018	Misc	`conf`	Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. ICASSP Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III
2018	J	`jnl`	Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. IEEE Trans. Inf. Theory Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III
2018	J	`jnl`	Weak detection in the spiked Wigner model. CoRR Hye Won Chung, Ji Oon Lee
2017	J	`jnl`	Bounds on Variance for Unimodal Distributions. IEEE Trans. Inf. Theory Hye Won Chung, Brian M. Sadler, Alfred O. Hero III
2017	J	`jnl`	Fundamental Limits on Data Acquisition: Trade-offs between Sample Complexity and Query Difficulty. CoRR Hye Won Chung, Ji Oon Lee, Alfred O. Hero III
2016	J	`jnl`	On capacity of optical communications over a lossy bosonic channel with a receiver employing the most general coherent electro-optic feedback control. CoRR Hye Won Chung, Saikat Guha, Lizhong Zheng
2016	J	`jnl`	Superadditivity of Quantum Channel Coding Rate With Finite Blocklength Joint Measurements. IEEE Trans. Inf. Theory Hye Won Chung, Saikat Guha, Lizhong Zheng
2016	J	`jnl`	Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. CoRR Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III
2016	B	`conf`	Unequal error protection coding approaches to the noisy 20 questions problem. ISIT Hye Won Chung, Lizhong Zheng, Brian M. Sadler, Alfred O. Hero III
2015	J	`jnl`	Bounds on Variance for Symmetric Unimodal Distributions. CoRR Hye Won Chung, Brian M. Sadler, Alfred O. Hero III
2015	—	`conf`	Bounds on variance for symmetric unimodal distributions. Allerton Hye Won Chung, Brian M. Sadler, Alfred O. Hero III
2014	—	`—`	Extracting classical information from quantum states: fundamental limits, adaptive and finite-length measurements. Hye Won Chung
2014	B	`conf`	Superadditivity of quantum channel coding rate with finite blocklength quantum measurements. ISIT Hye Won Chung, Saikat Guha, Lizhong Zheng
2013	J	`jnl`	Superadditivity of Quantum Channel Coding Rate with Finite Blocklength Quantum Measurements. CoRR Hye Won Chung, Saikat Guha, Lizhong Zheng
2013	—	`conf`	Superadditivity of quantum channel coding rate with finite blocklength quantum measurements. Allerton Hye Won Chung, Lizhong Zheng
2011	—	`conf`	On capacity of optical channels with coherent detection. Allerton Hye Won Chung, Saikat Guha, Lizhong Zheng
2011	B	`conf`	On capacity of optical channels with coherent detection. ISIT Hye Won Chung, Saikat Guha, Lizhong Zheng