A 48nm 32Gb 8-level NAND flash memory with 5.5MB/s program throughput. - Seung-Ho Chang; Sok-Kyu Lee; Seong-Je Park; Min-Joong Jung; Jung-Chul Han; In-Soo Wang; Kyu-Hee Lim; Jung-Hwan Lee; Ji-Hwan Kim; Won-Kyung Kang; Tai-Kyu Kang; Hee-Su Byun; et al. (ISSCC, 2009)

New algorithms for verifying the null space conditions in compressed sensing. - Myung Cho; Weiyu Xu (ACSSC, 2013)

Toeplitz matrix based sparse error correction in system identification: Outliers and random noises. - Weiyu Xu; Er-Wei Bai; Myung Cho (ICASSP, 2013)

Precisely Verifying the Null Space Conditions in Compressed Sensing: A Sandwiching Algorithm. - Myung Cho; Weiyu Xu (CoRR, 2013)

Universally Elevating the Phase Transition Performance of Compressed Sensing: Non-Isometric Matrices are Not Necessarily Bad Matrices. - Weiyu Xu; Myung Cho (CoRR, 2013)

Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional ($d geq 2$) Off-the-Grid Frequencies. - Weiyu Xu; Jian-Feng Cai 001; Kumar Vijay Mishra; Myung Cho; Anton Kruger (CoRR, 2013)

Super-resolution line spectrum estimation with block priors. - Kumar Vijay Mishra; Myung Cho; Anton Kruger; Weiyu Xu (ACSSC, 2014)

Off-the-grid spectral compressed sensing with prior information. - Kumar Vijay Mishra; Myung Cho; Anton Kruger; Weiyu Xu (ICASSP, 2014)

Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies. - Weiyu Xu; Jian-Feng Cai 001; Kumar Vijay Mishra; Myung Cho; Anton Kruger (ITA, 2014)

System identification in the presence of outliers and random noises: A compressed sensing approach. - Weiyu Xu; Er-Wei Bai; Myung Cho (Autom., 2014)

Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals. - Myung Cho; Kumar Vijay Mishra; Jian-Feng Cai 001; Weiyu Xu (IEEE Signal Process. Lett., 2015)

Spectral Super-Resolution With Prior Knowledge. - Kumar Vijay Mishra; Myung Cho; Anton Kruger; Weiyu Xu (IEEE Trans. Signal Process., 2015)

Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals. - Myung Cho; Jian-Feng Cai 001; Suhui Liu; Yonina C. Eldar; Weiyu Xu (ICASSP, 2016)

New Algorithms for Verifying the Null Space Condition in Compressed Sensing. - Myung Cho; Kumar Vijay Mishra; Weiyu Xu (CoRR, 2016)

Compressed Hypothesis Testing: To Mix or Not to Mix? - Myung Cho; Weiyu Xu; Lifeng Lai (CoRR, 2016)

Phaseless super-resolution in the continuous domain. - Myung Cho; Christos Thrampoulidis; Weiyu Xu; Babak Hassibi (ICASSP, 2017)

Network Constrained Distributed Dual Coordinate Ascent for Machine Learning. - Myung Cho; Lifeng Lai; Weiyu Xu (CoRR, 2017)

Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. - Weiyu Xu; Jirong Yi; Soura Dasgupta; Jian-Feng Cai 001; Mathews Jacob; Myung Cho (CoRR, 2017)

Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. - Weiyu Xu; Jirong Yi; Soura Dasgupta; Jian-Feng Cai 001; Mathews Jacob; Myung Cho (ISIT, 2018)

A Non-Convex Approach To Joint Sensor Calibration And Spectrum Estimation. - Myung Cho; Wenjing Liao; Yuejie Chi (SSP, 2018)

Computable performance guarantees for compressed sensing matrices. - Myung Cho; Kumar Vijay Mishra; Weiyu Xu (EURASIP J. Adv. Signal Process., 2018)

Shift-invariant Subspace Tracking with Missing Data. - Myung Cho; Yuejie Chi (ICASSP, 2019)

Generalized Distributed Dual Coordinate Ascent in a Tree Network for Machine Learning. - Myung Cho; Lifeng Lai; Weiyu Xu (ICASSP, 2019)

Communication-Efficient Optimal Control Design For Distributed Control Systems In Cooperative Vehicular Networks. - Myung Cho; Abdallah S. Abdallah (VTC Spring, 2020)

Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints. - Jirong Yi; Myung Cho; Xiaodong Wu 001; Raghu Mudumbai; Weiyu Xu (CoRR, 2020)

Moving Target Tracking with Missing Data in 2-D or Higher Dimension. - Myung Cho; Jarod Klinefelter; Henry Chiapa; Leland Ralston (ACSCC, 2021)

Distributed Dual Coordinate Ascent in General Tree Networks and Communication Network Effect on Synchronous Machine Learning. - Myung Cho; Lifeng Lai; Weiyu Xu (IEEE J. Sel. Areas Commun., 2021)

Iterative Shrinkage-Thresholding Algorithm and Model-Based Neural Network for Sparse LQR Control Design. - Myung Cho; Aranya Chakrabortty (ECC, 2022)

Deep Neural Networks Based on Iterative Thresholding and Projection Algorithms for Sparse LQR Control Design. - Myung Cho (CoRR, 2022)

Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond. - Kody A. Waldstein; Jirong Yi; Myung Cho; Raghu Mudumbai; Xiaodong Wu 001; Steven M. Varga; Weiyu Xu (PLoS Comput. Biol., 2022)

Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability. - Jirong Yi; Myung Cho; Jingchao Gao; Xiaodong Wu 001; Weiyu Xu; Raghu Mudumbai (ACSSC, 2023)

Low-Rank LQR Optimal Control Design for Controlling Distributed Multi-Agent Systems. - Myung Cho; Abdallah S. Abdallah; Mohammad Rasouli 003 (ECC, 2023)

Distributed Dual Coordinate Ascent With Imbalanced Data on a General Tree Network. - Myung Cho; Lifeng Lai; Weiyu Xu (MLSP, 2023)

Low-rank LQR Optimal Control Design over Wireless Communication Networks. - Myung Cho; Abdallah S. Abdallah; Mohammad Rasouli 003 (CoRR, 2023)

Tree Network Design for Faster Distributed Machine Learning Process with Distributed Dual Coordinate Ascent. - Myung Cho; Meghana Chikkam; Weiyu Xu; Lifeng Lai (ICASSP, 2024)

Iterative Thresholding and Projection Algorithms and Model-Based Deep Neural Networks for Sparse LQR Control Design. - Myung Cho (IEEE Trans. Autom. Control., 2025)