Flashcast. - Haewon Jeong; Si-Hyeon Lee; Sae-Young Chung (APCC, 2012)

mTCP: a Highly Scalable User-level TCP Stack for Multicore Systems. - Eunyoung Jeong; Shinae Woo; Muhammad Asim Jamshed; Haewon Jeong; Sunghwan Ihm; Dongsu Han; KyoungSoo Park (NSDI, 2014)

An information theoretic technique for harnessing attenuation of high spatial frequencies to design ultra-high-density EEG. - Pulkit Grover; Jeffrey A. Weldon; Shawn K. Kelly; Praveen Venkatesh; Haewon Jeong (Allerton, 2015)

Energy-adaptive codes. - Haewon Jeong; Pulkit Grover (Allerton, 2015)

Energy-adaptive polar codes: Trading off reliability and decoder circuit energy. - Haewon Jeong; Christopher G. Blake; Pulkit Grover (ISIT, 2017)

Masterless Coded Computing: A Fully-Distributed Coded FFT Algorithm. - Haewon Jeong; Tze Meng Low; Pulkit Grover (Allerton, 2018)

Locally Recoverable Coded Matrix Multiplication. - Haewon Jeong; Fangwei Ye; Pulkit Grover (Allerton, 2018)

An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation. - Utsav Sheth; Sanghamitra Dutta; Malhar Chaudhari; Haewon Jeong; Yaoqing Yang; Jukka Kohonen; Teemu Roos; Pulkit Grover (IEEE BigData, 2018)

A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes. - Sanghamitra Dutta; Ziqian Bai; Haewon Jeong; Tze Meng Low; Pulkit Grover (ISIT, 2018)

Coded FFT and Its Communication Overhead. - Haewon Jeong; Tze Meng Low; Pulkit Grover (CoRR, 2018)

A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication. - Sanghamitra Dutta; Ziqian Bai; Haewon Jeong; Tze Meng Low; Pulkit Grover (CoRR, 2018)

Robust Molecular Dynamics Simulations Using Coded FFT Algorithm. - Yuk Wong 001; Yuqiu Zhang; Haewon Jeong; Pulkit Grover (ICASSP, 2019)

Systematic Matrix Multiplication Codes. - Haewon Jeong; Yaoqing Yang; Pulkit Grover (ISIT, 2019)

Energy-Adaptive Error Correcting for Dynamic and Heterogeneous Networks. - Haewon Jeong; Pulkit Grover (Proc. IEEE, 2019)

3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication. - Haewon Jeong; Yaoqing Yang; Vipul Gupta; Christian Engelmann; Tze Meng Low; Viveck R. Cadambe; Kannan Ramchandran; Pulkit Grover (Euro-Par, 2020)

Coded QR Decomposition. - Quang Minh Nguyen; Haewon Jeong; Pulkit Grover (ISIT, 2020)

Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing. - Sanghamitra Dutta; Haewon Jeong; Yaoqing Yang; Viveck R. Cadambe; Tze Meng Low; Pulkit Grover (Proc. IEEE, 2020)

On the Optimal Recovery Threshold of Coded Matrix Multiplication. - Sanghamitra Dutta; Mohammad Fahim; Farzin Haddadpour; Haewon Jeong; Viveck R. Cadambe; Pulkit Grover (IEEE Trans. Inf. Theory, 2020)

E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. - Viveck R. Cadambe; Flávio P. Calmon; Ateet Devulapalli; Haewon Jeong (ISIT, 2021)

ϵ-Approximate Coded Matrix Multiplication Is Nearly Twice as Efficient as Exact Multiplication. - Haewon Jeong; Ateet Devulapalli; Viveck R. Cadambe; Flávio P. Calmon (IEEE J. Sel. Areas Inf. Theory, 2021)

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. - Haewon Jeong; Hao Wang 063; Flávio P. Calmon (AAAI, 2022)

Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits. - Ateet Devulapalli; Viveck R. Cadambe; Flávio P. Calmon; Haewon Jeong (ISIT, 2022)

Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. - Wael Alghamdi; Hsiang Hsu; Haewon Jeong; Hao Wang 063; Peter Michalák; Shahab Asoodeh; Flávio P. Calmon (NeurIPS, 2022)

Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. - Wael Alghamdi; Hsiang Hsu; Haewon Jeong; Hao Wang 063; P. Winston Michalak; Shahab Asoodeh; Flávio P. Calmon (CoRR, 2022)

Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. - Viveck R. Cadambe; Haewon Jeong; Flávio P. Calmon (ISIT, 2023)

Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. - Viveck R. Cadambe; Ateet Devulapalli; Haewon Jeong; Flávio P. Calmon (CoRR, 2023)

Coded Computing for Fault-Tolerant Parallel QR Decomposition. - Quang Minh Nguyen; Iain Weissburg; Haewon Jeong (CoRR, 2023)

Coded Computing Meets Quantum Circuit Simulation: Coded Parallel Tensor Network Contraction Algorithm. - Jin Lee; Zheng Zhang; Sofía González-García; Haewon Jeong (ISIT, 2024)

ReDiFine: Reusable Diffusion Finetuning for Mitigating Degradation in the Chain of Diffusion. - Youngseok Yoon; Dainong Hu; Iain Weissburg; Yao Qin; Haewon Jeong (CoRR, 2024)

Mix from Failure: Confusion-Pairing Mixup for Long-Tailed Recognition. - Youngseok Yoon; Sangwoo Hong; Hyungjoon Joo; Yao Qin; Haewon Jeong; Jungwoo Lee 001 (CoRR, 2024)

A Survey on Data Selection for Language Models. - Alon Albalak; Yanai Elazar; Sang Michael Xie; Shayne Longpre; Nathan Lambert 001; Xinyi Wang 003; Niklas Muennighoff; Bairu Hou; Liangming Pan; Haewon Jeong; Colin Raffel; Shiyu Chang; et al. (Trans. Mach. Learn. Res., 2024)

Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images. - Tian Qiu 001; Arjun Nichani; Rasta Tadayontahmasebi; Haewon Jeong (FAccT, 2025)

LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education. - Iain Weissburg; Sathvika Anand; Sharon Levy; Haewon Jeong (NAACL (Findings), 2025)

Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation. - Sajani Vithana; Viveck R. Cadambe; Flávio P. Calmon; Haewon Jeong (SaTML, 2025)

When Machine Learning Gets Personal: Understanding Fairness of Personalized Models. - Louisa Cornelis; Guillermo Bernárdez; Haewon Jeong; Nina Miolane (CoRR, 2025)

Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images. - Tian Qiu; Arjun Nichani; Rasta Tadayontahmasebi; Haewon Jeong (CoRR, 2025)

CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow Matching. - Sidharth Kannan; Tian Qiu; Carolina Cuesta-Lázaro; Haewon Jeong (CoRR, 2025)