| Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency B Song, SM Kwon, Z Zhang, X Hu, Q Qu, L Shen ICLR 2024 (Spotlight), 2023 | 55 | 2023 |
| Hands-free human activity recognition using millimeter-wave sensors SM Kwon, S Yang, J Liu, X Yang, W Saleh, S Patel, C Mathews, Y Chen 2019 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2019 | 20 | 2019 |
| Privacy‐preserving quality control of neuroimaging datasets in federated environments DK Saha, VD Calhoun, Y Du, Z Fu, SM Kwon, AD Sarwate, SR Panta, ... Human Brain Mapping 43 (7), 2289-2310, 2022 | 8 | 2022 |
| Decoupled data consistency with diffusion purification for image restoration X Li, SM Kwon, IR Alkhouri, S Ravishankar, Q Qu arXiv preprint arXiv:2403.06054, 2024 | 7 | 2024 |
| Efficient low-dimensional compression of overparameterized models SM Kwon, Z Zhang, D Song, L Balzano, Q Qu International Conference on Artificial Intelligence and Statistics, 1009-1017, 2024 | 5* | 2024 |
| Low-rank phase retrieval with structured tensor models SM Kwon, X Li, AD Sarwate ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Learning Predictors from Multidimensional Data with Tensor Factorizations SM Kwon, AD Sarwate Aresty Rutgers Undergraduate Research Journal 1 (3), 2021 | 1 | 2021 |
| BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference C Lee, SM Kwon, Q Qu, K Hun-Seok NeurIPS 2024, 2024 | | 2024 |
| Optimization Problems with Low-Dimensional Tensor Structure SM Kwon Rutgers The State University of New Jersey, School of Graduate Studies, 2022 | | 2022 |
| Federated, Fast, and Private Visualization of Decentralized Data DK Saha, V Calhoun, SM Kwon, A Sarwate, R Saha, S Plis Federated Learning and Analytics in Practice: Algorithms, Systems …, 0 | | |
Qing QuAssistant Professor, Dept. of EECS, University of Michigan在 umich.edu 的电子邮件经过验证
