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Soo Min Kwon
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2020 – today
- 2024
- [c4]Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano
, Qing Qu:
Efficient Low-Dimensional Compression of Overparameterized Models. AISTATS 2024: 1009-1017 - [c3]Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu
, Liyue Shen:
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency. ICLR 2024 - [i4]Xiang Li, Soo Min Kwon, Ismail R. Alkhouri, Saiprasad Ravishankar, Qing Qu:
Decoupled Data Consistency with Diffusion Purification for Image Restoration. CoRR abs/2403.06054 (2024) - 2023
- [i3]Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen:
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency. CoRR abs/2307.08123 (2023) - [i2]Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu
:
Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics. CoRR abs/2311.05061 (2023) - 2022
- [c2]Soo Min Kwon, Xin Li, Anand D. Sarwate:
Low-Rank Phase Retrieval with Structured Tensor Models. ICASSP 2022: 3643-3647 - [i1]Soo Min Kwon, Xin Li, Anand D. Sarwate:
Low-Rank Phase Retrieval with Structured Tensor Models. CoRR abs/2202.08260 (2022)
2010 – 2019
- 2019
- [c1]Soo Min Kwon, Song Yang, Jian Liu, Xin Yang, Wesam Saleh, Shreya Patel, Christine Mathews, Yingying Chen:
Demo: Hands-Free Human Activity Recognition Using Millimeter-Wave Sensors. DySPAN 2019: 1-2
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