Conference papers
[ACM EUROSYS 2026] Changjun Lee, Sangjin Choi, Youngjin Kwon, "MTTM: Dynamic Fast Memory Partitioning with Bandwidth Optimization for Multi-tenant Cloud" (Acceptance rate: 16.9%)
[ACM EUROSYS 2026] Chanshin Gwak, Jaehyun Lee, Minkyu Jung, Youngjin Kwon, "BASK: Batch And SmartNIC-offloaded KSM" (Acceptance rate: 16.9%)
[ACM SOSP 2025] Juncheol Ye, Seungkook Lee, Hwijoon Lim, JiHyuk Lee, Uitaek Hong, Youngjin Kwon, Dongsu Han, "SAND: A New Programming Abstraction for Video-based Deep Learning" (Acceptance rate: 17.6%)
[ACM SOSP 2025] Tae Woo Kim, Youngjin Kwon, Jeehoon Kang, "Scalable Address Spaces using Concurrent Interval Skiplist" (Acceptance rate: 17.6%)
[IEEE S&P 2025] Junho Ahn, KangHyuk Lee, Chanyoung Park, Hyungon Moon, Youngjin Kwon, "Defeating Use-After-Free Bugs Using Memory Sweeper Without Stop-the-World"
[NAACL 2025] Sukmin Cho, Sangjin Choi, Taeho Hwang, Jeongyeon Seo, Soyeong Jeong, Huije Lee, Hoyun Song, Jong C. Park, Youngjin Kwon, "Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding"
[ACM EUROSYS 2025] Wonsup Yoon, Jisu Ok, Sue Moon, Youngjin Kwon, "Adios to Busy-Waiting for Microsecond-scale Memory Disaggregation"
[ACM SOSP 2024, Best Paper] Dae R. Jeong, Yewon Choi, Byoungyoung Lee, Insik Shin, Youngjin Kwon, "OZZ: Identifying Kernel Out-of-Order Concurrency Bugs with In-Vivo Memory Access Reordering" (Acceptance rate: 17.3%)
[USENIX SECURITY 2024] Junho Ahn, Jaehyeon Lee, KangHyuk Lee, Wooseok Gwak, Minseong Hwang, Youngjin Kwon, "BUDAlloc: Defeating Use-After-Free Bugs by Decoupling Virtual Address Management from Kernel" (Acceptance rate: 18%)
[USENIX OSDI 2024] Minwoo Ahn, Jeongmin Han, Youngjin Kwon, Jinkyu Jeong, "Identifying On-/Off-CPU Bottlenecks Together with Blocked Samples" (Acceptance rate: 17.3%)
[ICCAD 2023] Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Jung-Hoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim, "PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads" (Acceptance rate: 22.9%)
[USENIX ATC 2023] Sangjin Choi, Inhoe Koo, Jeongseob Ahn, Myeongjae Jeon, Youngjin Kwon, "EnvPipe: Performance-preserving DNN Training Framework for Saving Energy" (Acceptance rate: 18.4%)
[IEEE S&P 2023] Dae R. Jeong, Byoungyoung Lee, Insik Shin, Youngjin Kwon, "SEGFUZZ: Segmentizing Thread Interleaving to Discover Kernel Concurrency Bugs through Fuzzing" (Acceptance rate: 12%)
[ACM EUROSYS 2023] Dae R. Jeong, Minkyu Jung, Yoochan Lee, Byoungyoung Lee, Insik Shin, Youngjin Kwon, "Diagnosing Kernel Concurrency Failures with AITIA" (Acceptance rate: 16%)
[ACM EUROSYS 2023, best paper runner-up] Wonsup Yoon, Jisu Ok, Jinyoung Oh, Sue Moon, Youngjin Kwon, "DiLOS: Do Not Trade Compatibility for Performance in Memory Disaggregation" (Acceptance rate: 16%)
[USENIX NSDI 2023] Taehyun Kim, Deondre Martin Ng, Junzhi Gong, Youngjin Kwon, Minlan Yu, Kyoungsoo Park, "Rearchitecting the TCP Stack for I/O-Offloaded Content Delivery" (Acceptance rate: 18.4%)
[USENIX ATC 2022] Sangjin Choi*, Taeksoo Kim*, Jinwoo Jeong, Rachata Ausavarungniurn, Myeongjae Jeon, Youngjin Kwon, Jeongseob Ahn, "Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory" (* Co-first author, Acceptance rate: 16.2%)
[USENIX ATC 2022] Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh, "Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing" (Acceptance rate: 16.2%)
[ACM SOSP 2021, Best Paper] Jongyul Kim, Insu Jang, Waleed Reda, Jaeseong Im, Marco Canini, Dejan Kostic, Youngjin Kwon, Simon Peter, Emmett Witchel, "LineFS: Efficient SmartNIC Offload of a Distributed File System with Pipeline Parallelism" (Acceptance rate: 15.3%)
[USENIX ATC 2021] Gangmuk Lim, Jeongseob Ahn, Wencong Xiao, Youngjin Kwon, Myeongjae Jeon "Zico: Efficient GPU Memory Sharing for Concurrent DNN Training" (acceptance rate: 18.7%)
[USENIX FAST 2021] Ian Neal, Gefei Zuo, Eric Shiple, Tanvir Ahmed Khan, Youngjin Kwon, Simon Peter, Baris Kasikci, "Rethinking File Mapping for Persistent Memory" (acceptance rate: 21.5%)
[USENIX OSDI 2020] Ian Neal, Ben Reeves, Ben Stoler, Andrew Quinn, Youngjin Kwon, Simon Peter, Baris Kasikci, "AGAMOTTO: How Persistent is your Persistent Memory Application?" (acceptance rate: 17.5%)
[USENIX OSDI 2020] Thomas E. Anderson, Marco Canini, Jongyul Kim, Dejan Kostic, Youngjin Kwon, Simon Peter, Waleed Reda, Henry N. Schuh, Emmett Witchel, “Assise: Performance and Availability via Client-local NVM in a Distributed File System”, (acceptance rate: 17.5%)
[ACM/IEEE MICRO 2020] Jungi Jeong, Jaewan Hong, Seungryoul Maeng, Changhee Jung, Youngjin Kwon, "Unbounded Hardware Transactional Memory for a Hybrid DRAM/NVM Memory System", (acceptance rate: 15.6%)
[USENIX ATC 2020] Jungsik Choi, Jaewan Hong, Youngjin Kwon, Hwansoo Han, "Libnvmmio: Reconstructing Software IO Path with Failure-Atomic Memory-Mapped Interface", (acceptance rate: 18%)
[ACM/IEEE ISCA 2020] Joongun Park, Naegyeong Kang, Taehoon Kim, Youngjin Kwon, and Jaehyuk Huh, "Nested Enclave: Supporting Fine-grained Hierarchical Isolation with SGX", (acceptance rate: 18%)
[ACM/IEEE ISCA 2020] Chang Hyun Park, Sanghoon Cha, Bokyeong Kim, Youngjin Kwon, David Black-Schaffer, and Jaehyuk Huh, "Perforated Page: Supporting Fragmented Memory Allocation for Large Pages", (acceptance rate: 18%)
[USENIX ATC 2018] Calin Iorgulescu, Reza Azimi, Youngjin Kwon, Sameh Elnikety, Manoj Syamala, Vivek Narasayya, Herodotos Herodotou, Paulo Tomita, Alex Chen, Jack Zhang, and Junhua Wang, "Performance Isolation for Large Commercial Latency-Sensitive Services", (acceptance rate: 20%) [pdf]
[USENIX ATC 2018, Best Paper] Yige Hu, Zhiting Zhu, Ian G. Neal, Youngjin Kwon, Vijay Chidambaram, and Emmett Witchel, "TxFS: Leveraging File-System Crash Consistency to Provide ACID Transactions", (acceptance rate: 20%), [pdf]
[ACM SOSP 2017] Youngjin Kwon, Henrique Fingler, Tyler Hunt, Simon Peter, Emmett Witchel, and Thomas Anderson, "Strata: A Cross Media File System", (acceptance rate: 16.8%) [pdf]
[USENIX OSDI 2016] Youngjin Kwon, Hangchen Yu, Simon Peter, Christopher J. Rossbach, and Emmett Witchel, "Coordinated and Efficient Huge Page Management with Ingens", (acceptance rate: 18%) [pdf]
[ACM ASPLOS 2016] Youngjin Kwon, Alan M. Dunn, Michael Z. Lee, Owen Hofmann, Yuanzhong Xu, and Emmett Witchel, "Sego: Pervasive Trusted Metadata for Efficiently Verified Untrusted System Services", (acceptance rate: 22%) [pdf]
[USENIX NSDI 2016] Yuanzhong Xu, Tyler Hunt, Youngjin Kwon, Martin Georgiev, Vitaly Shmatikov, and Emmett Witchel, "Earp: Principled Storage, Sharing, and Protection for Mobile Apps", (acceptance rate: 20%) [pdf]
[ACM/IEEE ISCA 2011] Youngjin Kwon, Changdae Kim, Seungryoul Maeng and Jaehyuk Huh, "Virtualizing Performance Asymmetric Multi-core Systems, (Acceptance rate: 19.2%) [pdf]