Jae W. Lee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
29
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*ISCA10 papers
- A*HPCA8 papers
- A*ASPLOS7 papers
- A*MICRO5 papers
- A*ICML3 papers
- ACGO3 papers
- AUSENIX3 papers
- A*WWW2 papers
- MulticonferenceSAC2 papers
- A*ECCV2 papers
- AICCAD2 papers
- A*DAC2 papers
- AFAST2 papers
- AISLPED2 papers
- A*PLDI2 papers
- ACIKM1 paper
- A*ICCV1 paper
- A*OSDI1 paper
- BACCV1 paper
- A*AAAI1 paper
- AEuroSys1 paper
- BGLOBECOM1 paper
- NationalHiPC1 paper
- BPPoPP1 paper
- A*CCS1 paper
- ASC1 paper
- Journal PublishedCASES1 paper
- CICCD1 paper
- ARTAS1 paper
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | GS-Scale: Unlocking Large-Scale 3D Gaussian Splatting Training via Host Offloading. | Donghyun Lee, Dawoon Jeong, Jae W. Lee, Hongil Yoon |
| 2026 | HPCA | MemSOS: OS-Guided Selective Memory Mirroring. | Junghoon Kim, Jongheon Jeong, Seokwon Moon, Seong Hoon Seo, Yeonhong Park, Jinkyu Jeong, Nam Sung Kim, Jae W. Lee |
| 2025 | CIKM | InstANNS: Scalable Approximate Nearest Neighbor Search via Cost-Efficient In-Storage Processing. | Bonggeun Sim, Yushin Kim, Minseo Kim, Yeonhong Park, Jae W. Lee |
| 2025 | HPCA | FACIL: Flexible DRAM Address Mapping for SoC-PIM Cooperative On-device LLM Inference. | Seong Hoon Seo, Junghoon Kim, Donghyun Lee, Seonah Yoo, Seokwon Moon, Yeonhong Park, Jae W. Lee |
| 2025 | ICCV | FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction. | Donghyun Lee, Dawoon Jeong, Jae W. Lee, Hongil Yoon |
| 2025 | ICML | GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance. | Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens J. S. Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song |
| 2025 | ICML | FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials. | Seung Yul Lee, Hojoon Kim, Yutack Park, Dawoon Jeong, Seungwu Han, Yeonhong Park, Jae W. Lee |
| 2025 | OSDI | DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization. | Yeonhong Park, Jake Hyun, Hojoon Kim, Jae W. Lee |
| 2025 | WWW | Angular Distance-Guided Neighbor Selection for Graph-Based Approximate Nearest Neighbor Search. | Sungjun Jung, Yongsang Park, Haeun Lee, Young H. Oh, Jae W. Lee |
| 2025 | SAC | SkipLSM: Fast Retrieval of Hot Key-Value Pairs on LSM Tree. | Jongsung Lee, Sam Son, Jonghyun Bae, Yunho Jin, Tae Jun Ham, Jae W. Lee |
| 2025 | SAC | Transparent Smartphone Memory Expansion. | Gyusun Lee, Jinyong Park, Jae W. Lee, Jinkyu Jeong |
| 2024 | ACCV | ReLUifying Smooth Functions: Low-Cost Knowledge Distillation to Obtain High-Performance ReLU Networks. | Soosung Kim, Yeonhong Park, Hyunseung Lee, Sungchan Yi, Jae W. Lee |
| 2024 | ECCV | Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation. | Donghyun Lee, Yejin Lee, Jae W. Lee, Hongil Yoon |
| 2024 | ICCAD | A Processing-using-Memory Architecture for Commodity DRAM Devices with Enhanced Compatibility and Reliability. | Hoon Shin, Rihae Park, Jae W. Lee |
| 2024 | ICML | Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs. | Yeonhong Park, Jake Hyun, SangLyul Cho, Bonggeun Sim, Jae W. Lee |
| 2024 | MICRO | VGA: Hardware Accelerator for Scalable Long Sequence Model Inference. | Seung Yul Lee, Hyunseung Lee, Jihoon Hong, SangLyul Cho, Jae W. Lee |
| 2023 | AAAI | Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud. | Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, Hongil Yoon |
| 2023 | DAC | A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression. | Hyunseung Lee, Jihoon Hong, Soosung Kim, Seung Yul Lee, Jae W. Lee |
| 2023 | EuroSys | FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines. | Gyewon Lee, Jaewoo Maeng, Jinsol Park, Jangho Seo, Haeyoon Cho, Youngseok Yang, Taegeon Um, Jongsung Lee, Jae W. Lee, Byung-Gon Chun |
| 2023 | ISCA | DRAM Translation Layer: Software-Transparent DRAM Power Savings for Disaggregated Memory. | Wenjing Jin, Wonsuk Jang, Haneul Park, Jongsung Lee, Soosung Kim, Jae W. Lee |
| 2022 | DAC | Effective zero compression on ReRAM-based sparse DNN accelerators. | Hoon Shin, Rihae Park, Seung Yul Lee, Yeonhong Park, Hyunseung Lee, Jae W. Lee |
| 2022 | ECCV | L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training. | Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee |
| 2022 | HPCA | Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh. | Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn |
| 2022 | HPCA | ANNA: Specialized Architecture for Approximate Nearest Neighbor Search. | Yejin Lee, Hyunji Choi, Sunhong Min, Hyunseung Lee, Sangwon Beak, Dawoon Jeong, Jae W. Lee, Tae Jun Ham |
| 2021 | ASPLOS | MERCI: efficient embedding reduction on commodity hardware via sub-query memoization. | Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, Tae Jun Ham |
| 2021 | CGO | Message from the General Chair. | Jae W. Lee |
| 2021 | FAST | FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks. | Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, Jae W. Lee |
| 2021 | FAST | Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs. | Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, Jae W. Lee |
| 2021 | HPCA | Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling. | Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee |
| 2021 | ISCA | BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory. | Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sungjun Jung, Tae Jun Ham, Jae W. Lee |
| 2021 | ISCA | ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks. | Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, Jae W. Lee |
| 2021 | USENIX | ASAP: Fast Mobile Application Switch via Adaptive Prepaging. | Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, Hongil Yoon |
| 2020 | ASPLOS | IIU: Specialized Architecture for Inverted Index Search. | Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, Jae W. Lee |
| 2020 | HPCA | A | Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song, Jung-Hun Park, Sanghee Lee, Kyoung Park, Jae W. Lee, Deog-Kyoon Jeong |
| 2020 | ICCAD | Unlocking Wordline-level Parallelism for Fast Inference on RRAM-based DNN Accelerator. | Yeonhong Park, Seung Yul Lee, Hoon Shin, Jun Heo, Tae Jun Ham, Jae W. Lee |
| 2020 | ISCA | Genesis: A Hardware Acceleration Framework for Genomic Data Analysis. | Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, Lisa Wu Wills |
| 2020 | ISCA | A Specialized Architecture for Object Serialization with Applications to Big Data Analytics. | Jaeyoung Jang, Sungjun Jung, Sunmin Jeong, Jun Heo, Hoon Shin, Tae Jun Ham, Jae W. Lee |
| 2020 | ISCA | A Case for Hardware-Based Demand Paging. | Gyusun Lee, Wenjing Jin, Wonsuk Song, Jeonghun Gong, Jonghyun Bae, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong |
| 2020 | MICRO | Graphene: Strong yet Lightweight Row Hammer Protection. | Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee |
| 2019 | MICRO | Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory. | Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee |
| 2019 | USENIX | Practical Erase Suspension for Modern Low-latency SSDs. | Shine Kim, Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jeonghun Gong, SeungYeon Lee, Tae Jun Ham, Jae W. Lee |
| 2019 | USENIX | Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs. | Gyusun Lee, Seokha Shin, Wonsuk Song, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong |
| 2017 | ASPLOS | Typed Architectures: Architectural Support for Lightweight Scripting. | Channoh Kim, Jaehyeok Kim, Sungmin Kim, Doo-Young Kim, Namho Kim, Gitae Na, Young H. Oh, Hyeon-Gyu Cho, Jae W. Lee |
| 2017 | ASPLOS | History-Based Arbitration for Fairness in Processor-Interconnect of NUMA Servers. | WonJun Song, Gwangsun Kim, Hyungjoon Jung, Jongwook Chung, Jung Ho Ahn, Jae W. Lee, John Kim |
| 2017 | GLOBECOM | Constructive Multi-User Interference for Symbol-Level Link Adaptation: MMSE Approach. | Yong I. Choi, Jae W. Lee, Chung Gu Kang, Minjoong Rim |
| 2017 | HiPC | Context-Aware Memory Profiling for Speculative Parallelism. | Changsu Kim, Juhyun Kim, Juwon Kang, Jae W. Lee, Hanjun Kim |
| 2017 | HPCA | SOUP-N-SALAD: Allocation-Oblivious Access Latency Reduction with Asymmetric DRAM Microarchitectures. | Yuhwan Ro, Hyunyoon Cho, Eojin Lee, Daejin Jung, Young Hoon Son, Jung Ho Ahn, Jae W. Lee |
| 2016 | HPCA | Efficient footprint caching for Tagless DRAM Caches. | Hakbeom Jang, Yongjun Lee, Jongwon Kim, Youngsok Kim, Jangwoo Kim, Jinkyu Jeong, Jae W. Lee |
| 2016 | ISCA | Short-Circuit Dispatch: Accelerating Virtual Machine Interpreters on Embedded Processors. | Channoh Kim, Sungmin Kim, Hyeon-Gyu Cho, Doo-Young Kim, Jaehyeok Kim, Young H. Oh, Hakbeom Jang, Jae W. Lee |
| 2015 | ISCA | A fully associative, tagless DRAM cache. | Yongjun Lee, Jongwon Kim, Hakbeom Jang, Hyunggyun Yang, Jangwoo Kim, Jinkyu Jeong, Jae W. Lee |
| 2015 | PPoPP | JAWS: a JavaScript framework for adaptive CPU-GPU work sharing. | Xianglan Piao, Channoh Kim, Younghwan Oh, Huiying Li, Jincheon Kim, Hanjun Kim, Jae W. Lee |
| 2014 | CCS | Security Vulnerability in Processor-Interconnect Router Design. | WonJun Song, John Kim, Jae W. Lee, Dennis Abts |
| 2014 | ISLPED | eDRAM-based tiered-reliability memory with applications to low-power frame buffers. | Kyungsang Cho, Yongjun Lee, Young H. Oh, Gyoo-Cheol Hwang, Jae W. Lee |
| 2014 | ISLPED | QPR.js: a runtime framework for QoS-aware power optimization for parallel JavaScript programs. | Wonjun Lee, Channoh Kim, Houp Song, Jae W. Lee |
| 2014 | WWW | Efficient CPU-GPU work sharing for data-parallel JavaScript workloads. | Xianglan Piao, Channoh Kim, Younghwan Oh, Hanjun Kim, Jae W. Lee |
| 2014 | SC | Microbank: Architecting Through-Silicon Interposer-Based Main Memory Systems. | Young Hoon Son, Seongil O, Hyunggyun Yang, Daejin Jung, Jung Ho Ahn, John Kim, Jangwoo Kim, Jae W. Lee |
| 2013 | ASPLOS | Practical automatic loop specialization. | Taewook Oh, Hanjun Kim, Nick P. Johnson, Jae W. Lee, David I. August |
| 2013 | ISCA | Reducing memory access latency with asymmetric DRAM bank organizations. | Young Hoon Son, Seongil O, Yuhwan Ro, Jae W. Lee, Jung Ho Ahn |
| 2012 | CASES | From sequential programming to flexible parallel execution. | Arun Raman, Jae W. Lee, David I. August |
| 2012 | CGO | Automatic speculative DOALL for clusters. | Hanjun Kim, Nick P. Johnson, Jae W. Lee, Scott A. Mahlke, David I. August |
| 2012 | CGO | Runtime asynchronous fault tolerance via speculation. | Yun Zhang, Soumyadeep Ghosh, Jialu Huang, Jae W. Lee, Scott A. Mahlke, David I. August |
| 2012 | PLDI | Parcae: a system for flexible parallel execution. | Arun Raman, Ayal Zaks, Jae W. Lee, David I. August |
| 2011 | PLDI | Parallelism orchestration using DoPE: the degree of parallelism executive. | Arun Raman, Hanjun Kim, Taewook Oh, Jae W. Lee, David I. August |
| 2010 | MICRO | Scalable Speculative Parallelization on Commodity Clusters. | Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, David I. August |
| 2010 | MICRO | Probabilistic Distance-Based Arbitration: Providing Equality of Service for Many-Core CMPs. | Michael Mihn-Jong Lee, John Kim, Dennis Abts, Michael R. Marty, Jae W. Lee |
| 2008 | ISCA | Globally-Synchronized Frames for Guaranteed Quality-of-Service in On-Chip Networks. | Jae W. Lee, Man Cheuk Ng, Krste Asanovic |
| 2007 | ICCD | Continual hashing for efficient fine-grain state inconsistency detection. | Jae W. Lee, Myron King, Krste Asanovic |
| 2006 | RTAS | METERG: Measurement-Based End-to-End Performance Estimation Technique in QoS-Capable Multiprocessors. | Jae W. Lee, Krste Asanovic |
| 2004 | ASPLOS | Secure program execution via dynamic information flow tracking. | G. Edward Suh, Jae W. Lee, David Zhang, Srinivas Devadas |