Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. - Minsoo Rhu; Mike O'Connor; Niladrish Chatterjee; Jeff Pool; Youngeun Kwon; Stephen W. Keckler (HPCA, 2018)

Beyond the Memory Wall: A Case for Memory-Centric HPC System for Deep Learning. - Youngeun Kwon; Minsoo Rhu (MICRO, 2018)

A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks. - Youngeun Kwon; Minsoo Rhu (IEEE Comput. Archit. Lett., 2018)

Detection of Metallothionein in Javanese Medaka (Oryzias javanicus), Using a scFv-Immobilized Protein Chip. - Euiyeon Lee; Hyunjin Jeon; Chungwon Kang; Seonock Woo; Seungshic Yum; Youngeun Kwon (Sensors, 2018)

TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. - Youngeun Kwon; Yunjae Lee; Minsoo Rhu (MICRO, 2019)

A Disaggregated Memory System for Deep Learning. - Youngeun Kwon; Minsoo Rhu (IEEE Micro, 2019)

Fabrication of Microarrays for the Analysis of Serological Antibody Isotypes against Food Antigens. - Jeahee Ryu; Soyoun Kim; Jaeseung Song; Daeun Kim; Narae Keum; Wonhee Jang; Hyosang Bae; Youngeun Kwon (Sensors, 2019)

NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units. - Bongjoon Hyun; Youngeun Kwon; Yujeong Choi; John Kim 001; Minsoo Rhu (ASPLOS, 2020)

Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations. - Ranggi Hwang; Taehun Kim; Youngeun Kwon; Minsoo Rhu (ISCA, 2020)

Applications of Converged Various Forces for Detection of Biomolecules and Novelty of Dielectrophoretic Force in the Applications. - Seungjun Lee; Seong Min Roh; Eunji Lee; Yejin Park; Byung Chul Lee; Youngeun Kwon; Hye Jin Kim; Jinsik Kim (Sensors, 2020)

Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. - Youngeun Kwon; Yunjae Lee; Minsoo Rhu (HPCA, 2021)

Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training. - Yunjae Lee; Youngeun Kwon; Minsoo Rhu (IEEE Comput. Archit. Lett., 2021)

Training personalized recommendation systems from (GPU) scratch: look forward not backwards. - Youngeun Kwon; Minsoo Rhu (ISCA, 2022)

Trends in Single-Molecule Total Internal Reflection Fluorescence Imaging and Their Biological Applications with Lab-on-a-Chip Technology. - Louis Colson; Youngeun Kwon; Soobin Nam; Avinashi Bhandari; Nolberto Martinez Maya; Ying Lu; Yongmin Cho (Sensors, 2023)

LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models. - Juntaek Lim; Youngeun Kwon; Ranggi Hwang; Kiwan Maeng; G. Edward Suh; Minsoo Rhu (ASPLOS (2), 2024)

Characterization and Analysis of the 3D Gaussian Splatting Rendering Pipeline. - Jiwon Lee; Yunjae Lee; Youngeun Kwon; Minsoo Rhu (IEEE Comput. Archit. Lett., 2025)