* indicates correspondence
1 indicates co-first authors

2023


  • Fast Adversarial Training with Dynamic Batch-level Attack Control
    • Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, and Jinho Lee*
      DAC (Accepted), 2023
      Top Conf. AI/ML
  • Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs
    • Chaemin Lim, Suhyun Lee, Jinwoo Choi, Jounghoo Lee, Seongyeon Park, Hanjun Kim, Jinho Lee, and Youngsok Kim
      SIGMOD (Accepted), 2023
      Top Conf. AI/ML Syst. SW
  • Pipe-BD: Pipelined Parallel Blockwise Distillation
    • Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, and Jinho Lee*
      DATE (Accepted), 2023 , arXiv, GitHub
      Top Conf. AI/ML Syst. SW
  • Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
    • Jaeyong Song1, Jinkyu Yim1, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, and Jinho Lee*
      ASPLOS (Accepted), 2023 , arXiv, Paper, GitHub
      Top Conf. AI/ML Syst. SW
  • SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
    • Mingi Yoo1, Jaeyong Song1, Jounghoo Lee, Namhyung Kim, Youngsok Kim*, and Jinho Lee*
      HPCA, 2023 , arXiv
      Top Conf. Arch. AI/ML

2022


  • Improving Gradient Paths for Binary Convolutional Neural Networks
    • Baozhou Zhu, Peter Hofstee, Jinho Lee and Zaid Al-Ars
      BMVC, 2022 , Paper
      Top Conf. AI/ML
  • Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
    • Mingi Yoo1, Jaeyong Song1, Hye Yoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, and Jinho Lee*
      PACT (Best Paper Award) , 2022 , arXiv , Paper
      Top Conf. Arch. AI/ML
  • Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing
    • Shinnung Jeong, Yongwoo Lee, Jaeho Lee, Heelim Choi, Seungbin Song, Jinho Lee, Youngsok Kim, and Hanjun Kim
      PACT , 2022 , Paper
      Top Conf. Syst. SW
  • GCoM: A Detailed GPU Core Model for Accurate Analytical Modeling of Modern GPUs
    • Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee, Hanhwi Jang, Youngsok Kim
      ISCA, 2022 , Paper
      Top Conf. Arch.
  • It’s All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
    • Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee*
      CVPR, 2022, Selected for an oral presentation , Paper , arXiv , Github
      Top Conf. AI/ML
  • Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
    • Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee*
      DAC, 2022 , Paper , arXiv
      Top Conf. AI/ML Arch.
  • GuardiaNN: Fast and Secure Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware
    • Jinwoo Choi1, Jaeyeon Kim1, Chaemin Lim1, Suhyun Lee, Jinho Lee, Dokyung Song, Youngsok Kim
      Middleware, 2022 , Paper
      Top Conf. Syst. SW AI/ML
  • SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs
    • Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, Peter Hofstee, Youngsok Kim, Jinho Lee*
      IPDPS, 2022 , Paper, arXiv
      Top Conf. Syst. SW Bioinfo.

2021


  • Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
    • Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee*
      NeurIPS, 2021, Paper, Github, arXiv, Slides
      Top Conf. AI/ML
  • ComPreEND: Computation Pruning through Predictive Early Negative Detection for ReLU in a Deep Neural Network Accelerator
    • Namhyung Kim, Hanmin Park, Dongwoo Lee, Sungbum Kang, Jinho Lee* and Kiyoung Choi
      IEEE TC, 2021, Paper
      SCI Arch. AI/ML
  • Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing
    • Mingi Yoo1, Jaeyong Song1, Jounghoo Lee, Namhyung Kim, Youngsok Kim, and Jinho Lee*
      IEEE CAL, 2021, Paper, Video
      SCI Arch. AI/ML
  • AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
    • Baozhou Zhu, Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars
      IJCAI, 2021, arXiv, Paper
      Top Conf. AI/ML
  • DANCE: Differentiable Accelerator/Network Co-Exploration
    • Kanghyun Choi1, Deokki Hong1, Hojae Yoon1, Joonsang Yu, Youngsok Kim, Jinho Lee*
      DAC, 2021, Paper, arXiv, Slides
      Top Conf. AI/ML Arch.
  • Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs
    • Jounghoo Lee1, Jinwoo Choi1, Jaeyeon Kim, Jinho Lee, Youngsok Kim
      DAC, 2021, Paper, Author Copy
      Top Conf. Arch. AI/ML
  • GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent
    • Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee*
      HPCA, 2021, arXiv, Paper, Slides
      Top Conf. Arch. AI/ML

2020


  • Deep Composer Classification Using Symbolic Representation
    • Sunghyeon Kim1, Hyeyoon Lee1, Sunjong Park1, Jinho Lee*, Keunwoo Choi
      LBD@ISMIR, 2020, Paper, arXiv, Poster
      AI/ML
  • FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology
    • Jinho Lee, Inseok Hwang, Soham Shah, Minsik Cho
      DAC, 2020, Author Copy, Paper
      Top Conf. AI/ML Syst. SW
  • MUTE: Inter-Class Ambiguity Driven Multi-Hot Target Encoding for Deep Neural Network Design
    • Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho
      DeepVision (Workshop@CVPR), 2020
      AI/ML
  • An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic
    • Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H Peter Hofstee
      Springer JSPS, 2020, Paper
      SCI Arch.
  • In-memory database acceleration on FPGAs: a survey
    • Jian Fang, Yvo T. B. Mulder, Jan Hidders, Jinho Lee, H. Peter Hofstee
      VLDB Journal, 2020, Paper
      SCI Arch.
  • Simex: Express prediction of inter-dataset similarity by a fleet of autoencoders
    • Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho
      arXiv preprint, 2020, arXiv
      AI/ML

2019


  • Video-Text Compliance: Activity Verification Based on Natural Language Instructions
    • Mayoore Jaiswal, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah, Peter Hofstee, Valerie Chen, Suvadip Paul, Rogerio Feris
      HVU (Workshop@ICCV), 2019
  • Refine and Recycle: A Method to Increase Decompression Parallelism
    • Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H.Peter Hofstee
      ASAP, 2019, Paper
  • An Efficient Graph Compressor Based on Adaptive Prefix Encoding
    • Jinho Lee, Frank Liu
      SSDBM, 2019, Paper
  • Accelerating conversational agents built with off-the-shelf modularized services
    • Jinho Lee, Inseok Hwang, Thomas S. Hubregtsen, Anne E. Gattiker, Christopher M. Durham
      IEEE Pervasive Computing, 2019, Paper
      SCI

2018


  • A Diagnosable Network-on-Chip for FPGA Verification of Intellectual Properties
    • Kyuseung Han, Jae-Jin Lee, Woojoo Lee, Jinho Lee*
      IEEE Design and Test, 2018
      SCI
  • Deep neural networks with weighted spikes
    • Jaehyun Kim, Heesu Kim, Subin Huh, Jinho Lee, Kiyoung Choi
      Neurocomputing, 2018
      SCI AI/ML Arch.
  • My being to your place, your being to my place: Co-present robotic avatars create illusion of living together
    • Bumsoo Kang, Inseok Hwang, Jinho Lee, Seungchul Lee, Taegyeong Lee, Youngjae Chang, Min Kyung Lee
      MobiSys, 2018
      Top Conf.
  • System G distributed graph database
    • Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu Chen, Jason Crawford, Hiroki Kanezashi, Song Zhang, Warut D.Vijitbenjaronk
      arXiv preprint, 2018

2017


  • Scalable time-versioning support for property graph databases
    • Warut D. Vijitbenjaronk, Jinho Lee*, Toyotaro Suzumura, Gabriel Tanase
      Big Data, 2017
  • Analyzing In-Memory Hash Join: Granularity Matters
    • Jian Fang, Jinho Lee, Peter Hofstee, Jan Hidders
      ADMS workshop @VLDB, 2017
  • ExtraV: Boosting graph processing near storage with a coherent accelerator
    • Jinho Lee, Heesu Kim, Sungjoo Yoo, Kiyoung Choi, H. Peter Hofstee, Gi-Joon Nam, Mark R. Nutter, Damir Jamsek
      pVLDB, 2017
      Top Conf.
  • Sci-fii: Speculative conversational interface framework for incremental inference on modularized services
    • Jinho Lee,Inseok Hwang, Thomas Hubregtsen, Anne E. Gattiker, Christopher M. Durham
      MDM, 2017
  • Tei-noc: Optimizing ultralow power nocs exploiting the temperature effect inversion
    • Kyuseung Han, Jae-Jin Lee, Jinho Lee, Woojoo Lee, Massoud Pedram
      IEEE TCAD, 2017
      SCI
  • Excavating the hidden parallelism inside dram architectures with buffered compares
    • Jinho Lee, Jongwook Chung, Jung Ho Ahn, Kiyoung Choi
      IEEE TVLSI, 2017
      SCI

~2016


  • J Lee, JH Ahn, K Choi, "Buffered compares: Excavating the hidden parallelism inside DRAM architectures with lightweight logic", DATE (Best paper nomination), 2016
  • J Lee, K Kang, K Choi, "Redelf: An energy-efficient deadlock-free routing for 3d nocs with partial vertical connections", ACM JETC, 2015
  • J Lee, J Ahn, K Choi, K Kang, "THOR: Orchestrated thermal management of cores and networks in 3D many-core architectures", ASPDAC, 2015
  • S Han, J Lee, K Choi, "Tree-mesh heterogeneous topology for low-latency noc", NOCARC workshop, 2014
  • G Lee, J Lee, K Choi, "Towards optimal adaptive routing in 3D NoC with limited vertical bandwidth", NOCARC workshop, 2013
  • J Lee, MK Chung, YG Cho, S Ryu, JH Ahn, K Choi, "Mapping and scheduling of tasks and communications on many-core SoC under local memory constraint", IEEE TCAD, 2013
  • J Lee, D Lee, S Kim, K Choi, "Deflection routing in 3D network-on-chip with limited vertical bandwidth", ACM TODAES, 2013
  • J Lee, K Choi, "A deadlock-free routing algorithm requiring no virtual channel on 3D-NoCs with partial vertical connections", NOCS, 2013
  • J Lee, D Lee, S Kim, K Choi, "Deflection routing in 3D network-on-chip with TSV serialization", ASPDAC, 2013
  • M Zhu, J Lee, K Choi, "An adaptive routing algorithm for 3D mesh NoC with limited vertical bandwidth", VLSI-SOC, 2012
  • J Lee, K Choi, "Memory-aware mapping and scheduling of tasks and communications on many-core SoC", ASPDAC, 2012
  • J Lee, M Zhu, K Choi, JH Ahn, R Sharma, "3D network-on-chip with wireless links through inductive coupling", ISOCC, 2011
  • H Park, JK Paek, J Lee, K Choi, "Leakage power reduction of functional units in processors having zero-overhead loop counter", ISOCC, 2009