Haewon Jeong

53 papers A* 2B 10C 1Misc 2Journal 28Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deterministic and probabilistic neural surrogates of global hybrid-Vlasov simulations.
CoRR
Daniel Holmberg, Ivan Zaitsev, Markku Alho, Ioanna Bouri, Fanni Franssila, Haewon Jeong, Minna Palmroth, Teemu Roos
2026 J jnl
Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation.
CoRR
Arjun Nichani, Hsiang Hsu, Chun-Fu Chen, Haewon Jeong
2025 — conf
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation.
SaTML
Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
2025 J jnl
CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow Matching.
CoRR
Sidharth Kannan, Tian Qiu, Carolina Cuesta-Lázaro, Haewon Jeong
2025 B conf
Differentially Private Distributed Mean Estimation with Constrained User Correlations.
ISIT
Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
2025 — conf
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images.
FAccT
Tian Qiu, Arjun Nichani, Rasta Tadayontahmasebi, Haewon Jeong
2025 J jnl
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images.
CoRR
Tian Qiu, Arjun Nichani, Rasta Tadayontahmasebi, Haewon Jeong
2025 B conf
Gone with the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images.
ISIT
Tian Qiu, Arjun Nichani, Rasta Tadayontahmasebi, Haewon Jeong
2025 J jnl
Graph-based Neural Space Weather Forecasting.
CoRR
Daniel Holmberg, Ivan Zaitsev, Markku Alho, Ioanna Bouri, Fanni Franssila, Haewon Jeong, Minna Palmroth, Teemu Roos
2025 J jnl
KANO: Kolmogorov-Arnold Neural Operator.
CoRR
Jin Lee, Ziming Liu, Xinling Yu, Yixuan Wang, Haewon Jeong, Murphy Yuezhen Niu, Zheng Zhang
2025 — conf
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education.
NAACL (Findings)
Iain Weissburg, Sathvika Anand, Sharon Levy, Haewon Jeong
2025 J jnl
Wavelength-Selective Parallel Sensing of Soft Optical Fibers for Wearable Applications.
IEEE Robotics Autom. Lett.
Haewon Jeong, Tian Wang, Carlo Renzo Opreni, Pai Zheng, Josie Hughes
2025 J jnl
When Machine Learning Gets Personal: Understanding Fairness of Personalized Models.
CoRR
Louisa Cornelis, Guillermo Bernárdez, Haewon Jeong, Nina Miolane
2024 J jnl
A Survey on Data Selection for Language Models.
CoRR
Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024 J jnl
A Survey on Data Selection for Language Models.
Trans. Mach. Learn. Res.
Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024 B conf
Coded Computing Meets Quantum Circuit Simulation: Coded Parallel Tensor Network Contraction Algorithm.
ISIT
Jin Lee, Zheng Zhang, Sofía González-García, Haewon Jeong
2024 J jnl
Coded Computing Meets Quantum Circuit Simulation: Coded Parallel Tensor Network Contraction Algorithm.
CoRR
Jin Lee, Sofía González-García, Zheng Zhang, Haewon Jeong
2024 J jnl
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation.
CoRR
Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
2024 J jnl
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education.
CoRR
Iain Weissburg, Sathvika Anand, Sharon Levy, Haewon Jeong
2024 J jnl
Mix from Failure: Confusion-Pairing Mixup for Long-Tailed Recognition.
CoRR
YoungSeok Yoon, Sangwoo Hong, Hyungjoon Joo, Yao Qin, Haewon Jeong, Jungwoo Lee
2024 J jnl
ReDiFine: Reusable Diffusion Finetuning for Mitigating Degradation in the Chain of Diffusion.
CoRR
YoungSeok Yoon, Dainong Hu, Iain Weissburg, Yao Qin, Haewon Jeong
2023 J jnl
Coded Computing for Fault-Tolerant Parallel QR Decomposition.
CoRR
Quang Minh Nguyen, Iain Weissburg, Haewon Jeong
2023 B conf
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise.
ISIT
Viveck R. Cadambe, Haewon Jeong, Flávio P. Calmon
2023 J jnl
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise.
CoRR
Viveck R. Cadambe, Ateet Devulapalli, Haewon Jeong, Flávio P. Calmon
2022 A* conf
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection.
NeurIPS
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon
2022 J jnl
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction.
CoRR
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon
2022 B conf
Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits.
ISIT
Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
2022 A* conf
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values.
AAAI
Haewon Jeong, Hao Wang, Flávio P. Calmon
2021 B conf
E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication.
ISIT
Viveck R. Cadambe, Flávio P. Calmon, Ateet Devulapalli, Haewon Jeong
2021 J jnl
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values.
CoRR
Haewon Jeong, Hao Wang, Flávio P. Calmon
2021 J jnl
ε-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication.
CoRR
Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon
2021 J jnl
ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication.
IEEE J. Sel. Areas Inf. Theory
Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon
2020 — conf
3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication.
Euro-Par
Haewon Jeong, Yaoqing Yang, Vipul Gupta, Christian Engelmann, Tze Meng Low, Viveck R. Cadambe, Kannan Ramchandran, Pulkit Grover
2020 J jnl
Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing.
Proc. IEEE
Sanghamitra Dutta, Haewon Jeong, Yaoqing Yang, Viveck R. Cadambe, Tze Meng Low, Pulkit Grover
2020 B conf
Coded QR Decomposition.
ISIT
Quang Minh Nguyen, Haewon Jeong, Pulkit Grover
2020 J jnl
On the Optimal Recovery Threshold of Coded Matrix Multiplication.
IEEE Trans. Inf. Theory
Sanghamitra Dutta, Mohammad Fahim, Farzin Haddadpour, Haewon Jeong, Viveck R. Cadambe, Pulkit Grover
2019 J jnl
Energy-Adaptive Error Correcting for Dynamic and Heterogeneous Networks.
Proc. IEEE
Haewon Jeong, Pulkit Grover
2019 Misc conf
Robust Molecular Dynamics Simulations Using Coded FFT Algorithm.
ICASSP
Yuk Wong, Yuqiu Zhang, Haewon Jeong, Pulkit Grover
2019 B conf
Systematic Matrix Multiplication Codes.
ISIT
Haewon Jeong, Yaoqing Yang, Pulkit Grover
2018 J jnl
A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication.
CoRR
Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover
2018 B conf
A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes.
ISIT
Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover
2018 — conf
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation.
IEEE BigData
Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong, Yaoqing Yang, Jukka Kohonen, Teemu Roos, Pulkit Grover
2018 J jnl
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation.
CoRR
Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong, Yaoqing Yang, Jukka Kohonen, Teemu Roos, Pulkit Grover
2018 J jnl
Coded FFT and Its Communication Overhead.
CoRR
Haewon Jeong, Tze Meng Low, Pulkit Grover
2018 — conf
Locally Recoverable Coded Matrix Multiplication.
Allerton
Haewon Jeong, Fangwei Ye, Pulkit Grover
2018 — conf
Masterless Coded Computing: A Fully-Distributed Coded FFT Algorithm.
Allerton
Haewon Jeong, Tze Meng Low, Pulkit Grover
2018 J jnl
On the Optimal Recovery Threshold of Coded Matrix Multiplication.
CoRR
Sanghamitra Dutta, Mohammad Fahim, Farzin Haddadpour, Haewon Jeong, Viveck R. Cadambe, Pulkit Grover
2017 B conf
Energy-adaptive polar codes: Trading off reliability and decoder circuit energy.
ISIT
Haewon Jeong, Christopher G. Blake, Pulkit Grover
2017 — conf
On the optimal recovery threshold of coded matrix multiplication.
Allerton
Mohammad Fahim, Haewon Jeong, Farzin Haddadpour, Sanghamitra Dutta, Viveck R. Cadambe, Pulkit Grover
2015 — conf
An information theoretic technique for harnessing attenuation of high spatial frequencies to design ultra-high-density EEG.
Allerton
Pulkit Grover, Jeffrey A. Weldon, Shawn K. Kelly, Praveen Venkatesh, Haewon Jeong
2015 — conf
Energy-adaptive codes.
Allerton
Haewon Jeong, Pulkit Grover
2014 Misc conf
mTCP: a Highly Scalable User-level TCP Stack for Multicore Systems.
NSDI
Eunyoung Jeong, Shinae Woo, Muhammad Asim Jamshed, Haewon Jeong, Sunghwan Ihm, Dongsu Han, KyoungSoo Park
2012 C conf
Flashcast.
APCC
Haewon Jeong, Si-Hyeon Lee, Sae-Young Chung