3D network-on-chip with wireless links through inductive coupling. - Jinho Lee 001; Mingyang Zhu; Kiyoung Choi; Jung Ho Ahn; Rohit Sharma (ISOCC, 2011)

Memory-aware mapping and scheduling of tasks and communications on many-core SoC. - Jinho Lee 001; Kiyoung Choi (ASP-DAC, 2012)

An adaptive routing algorithm for 3D mesh NoC with limited vertical bandwidth. - Mingyang Zhu; Jinho Lee 001; Kiyoung Choi (VLSI-SoC, 2012)

Deflection routing in 3D Network-on-Chip with TSV serialization. - Jinho Lee 001; Dongwook Lee; Sunwook Kim; Kiyoung Choi (ASP-DAC, 2013)

Towards optimal adaptive routing in 3D NoC with limited vertical bandwidth. - Gunhee Lee; Jinho Lee 001; Kiyoung Choi (NoCArc@MICRO, 2013)

A deadlock-free routing algorithm requiring no virtual channel on 3D-NoCs with partial vertical connections. - Jinho Lee 001; Kiyoung Choi (NOCS, 2013)

Mapping and Scheduling of Tasks and Communications on Many-Core SoC Under Local Memory Constraint. - Jinho Lee 001; Moo-Kyoung Chung; Yeon-Gon Cho; Soojung Ryu; Jung Ho Ahn; Kiyoung Choi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013)

Deflection routing in 3D network-on-chip with limited vertical bandwidth. - Jinho Lee 001; Dongwook Lee; Sunwook Kim; Kiyoung Choi (ACM Trans. Design Autom. Electr. Syst., 2013)

Tree-Mesh Heterogeneous Topology for Low-Latency NoC. - Sungju Han; Jinho Lee 001; Kiyoung Choi (NoCArc@MICRO, 2014)

THOR: Orchestrated thermal management of cores and networks in 3D many-core architectures. - Jinho Lee 001; Junwhan Ahn; Kiyoung Choi; Kyungsu Kang (ASP-DAC, 2015)

REDELF: An Energy-Efficient Deadlock-Free Routing for 3D NoCs with Partial Vertical Connections. - Jinho Lee 001; Kyungsu Kang; Kiyoung Choi (ACM J. Emerg. Technol. Comput. Syst., 2015)

Buffered compares: Excavating the hidden parallelism inside DRAM architectures with lightweight logic. - Jinho Lee 001; Jung Ho Ahn; Kiyoung Choi (DATE, 2016)

Scalable time-versioning support for property graph databases. - Warut D. Vijitbenjaronk; Jinho Lee 001; Toyotaro Suzumura; Gabriel Tanase (IEEE BigData, 2017)

SCI-FII: Speculative Conversational Interface Framework for Incremental Inference on Modularized Services. - Jinho Lee 001; Inseok Hwang 001; Thomas Hubregtsen; Anne E. Gattiker; Christopher M. Durham (MDM, 2017)

Analyzing In-Memory Hash Join: Granularity Matters. - Jian Fang 004; Jinho Lee 001; H. Peter Hofstee; Jan Hidders (ADMS@VLDB, 2017)

ExtraV: Boosting Graph Processing Near Storage with a Coherent Accelerator. - Jinho Lee 001; Heesu Kim; Sungjoo Yoo; Kiyoung Choi; H. Peter Hofstee; Gi-Joon Nam; Mark Nutter; Damir A. Jamsek (Proc. VLDB Endow., 2017)

Excavating the Hidden Parallelism Inside DRAM Architectures With Buffered Compares. - Jinho Lee 001; Jongwook Chung; Jung Ho Ahn; Kiyoung Choi (IEEE Trans. Very Large Scale Integr. Syst., 2017)

My Being to Your Place, Your Being to My Place: Co-present Robotic Avatars Create Illusion of Living Together. - Bumsoo Kang; Inseok Hwang 001; Jinho Lee 001; Seungchul Lee; Taegyeong Lee; Youngjae Chang 001; Min Kyung Lee (MobiSys, 2018)

HomeMeld: Co-present Robotic Avatar System for Illusion of Living Together. - Bumsoo Kang; Inseok Hwang 001; Jinho Lee 001; Seungchul Lee; Taegyeong Lee; Youngjae Chang 001; Min Kyung Lee (MobiSys, 2018)

System G Distributed Graph Database. - Gabriel Tanase; Toyotaro Suzumura; Jinho Lee 001; Chun-Fu Chen 001; Jason Crawford; Hiroki Kanezashi; Song Zhang; Warut D. Vijitbenjaronk (CoRR, 2018)

Deep neural networks with weighted spikes. - Jaehyun Kim; Heesu Kim; Subin Huh; Jinho Lee 001; Kiyoung Choi (Neurocomputing, 2018)

TEI-NoC: Optimizing Ultralow Power NoCs Exploiting the Temperature Effect Inversion. - Kyuseung Han; Jae-Jin Lee; Jinho Lee 001; Woojoo Lee; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Refine and Recycle: A Method to Increase Decompression Parallelism. - Jian Fang 004; Jianyu Chen; Jinho Lee 001; Zaid Al-Ars; H. Peter Hofstee (ASAP, 2019)

A Fine-Grained Parallel Snappy Decompressor for FPGAs Using a Relaxed Execution Model. - Jian Fang 004; Jianyu Chen; Jinho Lee 001; Zaid Al-Ars; H. Peter Hofstee (FCCM, 2019)

Video-Text Compliance: Activity Verification Based on Natural Language Instructions. - Mayoore Jaiswal; H. Peter Hofstee; Valerie Chen; Suvadip Paul; Rogério Feris; Frank Liu 001; Anupama Jagannathan; Anne Gattiker; Inseok Hwang 001; Jinho Lee 001; Matthew Tong; Sahil Dureja; et al. (ICCV Workshops, 2019)

Towards Peripheral Awareness of Remote Family Member's Context Using Self-mobile Robotic Avatars. - Bumsoo Kang; Inseok Hwang 001; Jinho Lee 001; Seungchul Lee; Taegyeong Lee; Youngjae Chang 001; Min Kyung Lee (MobiSys, 2019)

An Efficient Graph Compressor Based on Adaptive Prefix Encoding. - Jinho Lee 001; Frank Liu 001 (SSDBM, 2019)

MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design. - Mayoore S. Jaiswal; Bumsoo Kang; Jinho Lee 001; Minsik Cho (CoRR, 2019)

A Diagnosable Network-on-Chip for FPGA Verification of Intellectual Properties. - Kyuseung Han; Jae-Jin Lee; Woojoo Lee; Jinho Lee 001 (IEEE Des. Test, 2019)

Accelerating Conversational Agents Built With Off-the-Shelf Modularized Services. - Jinho Lee 001; Inseok Hwang 001; Thomas Hubregtsen; Anne E. Gattiker; Christopher M. Durham (IEEE Pervasive Comput., 2019)

MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design. - Mayoore S. Jaiswal; Bumsoo Kang; Jinho Lee 001; Minsik Cho (CVPR Workshops, 2020)

FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology. - Jinho Lee 001; Inseok Hwang 001; Soham Shah; Minsik Cho (DAC, 2020)

SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders. - Inseok Hwang 001; Jinho Lee 001; Frank Liu 001; Minsik Cho (CoRR, 2020)

SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks. - Baozhou Zhu; H. Peter Hofstee; Jinho Lee 001; Zaid Al-Ars (CoRR, 2020)

Deep Composer Classification Using Symbolic Representation. - Sunghyeon Kim; Hyeyoon Lee; Sunjong Park; Jinho Lee 001; Keunwoo Choi (CoRR, 2020)

In-memory database acceleration on FPGAs: a survey. - Jian Fang 004; Yvo T. B. Mulder; Jan Hidders; Jinho Lee 001; H. Peter Hofstee (VLDB J., 2020)

An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic. - Jian Fang 004; Jianyu Chen; Jinho Lee 001; Zaid Al-Ars; H. Peter Hofstee (J. Signal Process. Syst., 2020)

DANCE: Differentiable Accelerator/Network Co-Exploration. - Kanghyun Choi; Deokki Hong; Hojae Yoon; Joonsang Yu; Youngsok Kim; Jinho Lee 001 (DAC, 2021)

Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs. - Jounghoo Lee; Jinwoo Choi 003; Jaeyeon Kim; Jinho Lee 001; Youngsok Kim (DAC, 2021)

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 001 (HPCA, 2021)

An Attention Module for Convolutional Neural Networks. - Baozhou Zhu; H. Peter Hofstee; Jinho Lee 001; Zaid Al-Ars (ICANN (1), 2021)

AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression. - Baozhou Zhu; H. Peter Hofstee; Johan Peltenburg; Jinho Lee 001; Zaid Al-Ars (IJCAI, 2021)

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. - Kanghyun Choi; Deokki Hong; Noseong Park; Youngsok Kim; Jinho Lee 001 (NeurIPS, 2021)

Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing. - Mingi Yoo; Jaeyong Song; Jounghoo Lee; Namhyung Kim; Youngsok Kim; Jinho Lee 001 (IEEE Comput. Archit. Lett., 2021)

Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing. - Shinnung Jeong; Yongwoo Lee 001; Jaeho Lee 005; Heelim Choi; Seungbin Song; Jinho Lee 001; Youngsok Kim; Hanjun Kim 001 (PACT, 2022)

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. - Mingi Yoo; Jaeyong Song; Hyeyoon Lee; Jounghoo Lee; Namhyung Kim; Youngsok Kim; Jinho Lee 001 (PACT, 2022)

Improving Gradient Paths for Binary Convolutional Neural Networks. - Baozhou Zhu; H. Peter Hofstee; Jinho Lee 001; Zaid Al-Ars (BMVC, 2022)

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 001 (CVPR, 2022)

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 001 (DAC, 2022)

SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. - Seongyeon Park; Hajin Kim; Tanveer Ahmad; Nauman Ahmed; Zaid Al-Ars; H. Peter Hofstee; Youngsok Kim; Jinho Lee 001 (IPDPS, 2022)

GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs. - Jounghoo Lee; Yeonan Ha; Suhyun Lee 002; Jinyoung Woo; Jinho Lee 001; Hanhwi Jang; Youngsok Kim (ISCA, 2022)

GuardiaNN: Fast and Secure On-Device Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware. - Jinwoo Choi 003; Jaeyeon Kim; Chaemin Lim; Suhyun Lee 002; Jinho Lee 001; Dokyung Song; Youngsok Kim (Middleware, 2022)

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 001; Kiyoung Choi (IEEE Trans. Computers, 2022)

Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. - Jaeyong Song; Jinkyu Yim; Jaewon Jung 001; Hongsun Jang; Hyung-Jin Kim; Youngsok Kim; Jinho Lee 001 (ASPLOS (2), 2023)

Fast Adversarial Training with Dynamic Batch-level Attack Control. - Jaewon Jung 001; Jaeyong Song; Hongsun Jang; Hyeyoon Lee; Kanghyun Choi; Noseong Park; Jinho Lee 001 (DAC, 2023)

Pipe-BD: Pipelined Parallel Blockwise Distillation. - Hongsun Jang; Jaewon Jung 001; Jaeyong Song; Joonsang Yu; Youngsok Kim; Jinho Lee 001 (DATE, 2023)

SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. - Mingi Yoo; Jaeyong Song; Jounghoo Lee; Namhyung Kim; Youngsok Kim; Jinho Lee 001 (HPCA, 2023)

GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters. - Jaeyong Song; Hongsun Jang; Jaewon Jung 001; Youngsok Kim; Jinho Lee 001 (CoRR, 2023)

Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs. - Chaemin Lim; Suhyun Lee 002; Jinwoo Choi 003; Jounghoo Lee; Seongyeon Park; Hanjun Kim 001; Jinho Lee 001; Youngsok Kim (Proc. ACM Manag. Data, 2023)

Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring. - Jinwoo Choi 003; Yeonan Ha; Jounghoo Lee; Sangsu Lee; Jinho Lee 001; Hanhwi Jang; Youngsok Kim (IEEE Trans. Computers, 2023)

GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters. - Jaeyong Song; Hongsun Jang; Hunseong Lim; Jaewon Jung 001; Youngsok Kim; Jinho Lee 001 (PACT, 2024)

PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor. - Jaewon Jung 001; Hongsun Jang; Jaeyong Song; Jinho Lee 001 (CVPR, 2024)

Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters. - Jinkyu Yim; Jaeyong Song; Yerim Choi; Jaebeen Lee; Jaewon Jung 001; Hongsun Jang; Jinho Lee 001 (DATE, 2024)

Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System. - Hongsun Jang; Jaeyong Song; Jaewon Jung 001; Jaeyoung Park; Youngsok Kim; Jinho Lee 001 (HPCA, 2024)

DataFreeShield: Defending Adversarial Attacks without Training Data. - Hyeyoon Lee; Kanghyun Choi; Dain Kwon; Sunjong Park; Mayoore Selvarasa Jaiswal; Noseong Park; Jonghyun Choi; Jinho Lee 001 (ICML, 2024)

PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices. - Si Ung Noh; Junguk Hong; Chaemin Lim; Seongyeon Park; Jeehyun Kim; Hanjun Kim 001; Youngsok Kim; Jinho Lee 001 (ISCA, 2024)

AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. - Seongyeon Park; Junguk Hong; Jaeyong Song; Hajin Kim; Youngsok Kim; Jinho Lee 001 (PPoPP, 2024)

A Case for In-Memory Random Scatter-Gather for Fast Graph Processing. - Changmin Shin; Taehee Kwon 002; Jaeyong Song; Jae Hyung Ju; Frank Liu 001; YeonKyu Choi; Jinho Lee 001 (IEEE Comput. Archit. Lett., 2024)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. - Kanghyun Choi; Hyeyoon Lee; Dain Kwon; Sunjong Park; Kyuyeun Kim; Noseong Park; Jinho Lee 001 (CoRR, 2024)

AIS-SNU/GraNNDis_Artifact: Artifact Evaluation Submission. - Jaeyong Song; Hongsun Jang; Hunseong Lim; Jaewon Jung 001; Youngsok Kim; Jinho Lee 001 (Zenodo, 2024)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. - Kanghyun Choi; Hyeyoon Lee; Dain Kwon; Sunjong Park; Kyuyeun Kim; Noseong Park; Jonghyun Choi; Jinho Lee 001 (AAAI, 2025)

Piccolo: Large-Scale Graph Processing with Fine-Grained in-Memory Scatter-Gather. - Changmin Shin; Jaeyong Song; Hongsun Jang; Dogeun Kim; Jun Sung; Taehee Kwon 002; Jae Hyung Ju; Frank Liu 001; YeonKyu Choi; Jinho Lee 001 (HPCA, 2025)

G^3SA: A GPU-Accelerated Gold Standard Genomics Library for End-to-End Sequence Alignment. - Yeejoo Han; Sunwoo Kim; Seongyeon Park; Jinho Lee 001 (ICS, 2025)

PathWeaver: A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search. - Sukjin Kim; Seongyeon Park; Si Ung Noh; Junguk Hong; Taehee Kwon 002; Hunseong Lim; Jinho Lee 001 (USENIX ATC, 2025)

INF2: High-Throughput Generative Inference of Large Language Models using Near-Storage Processing. - Hongsun Jang; Si Ung Noh; Changmin Shin; Jaewon Jung 001; Jaeyong Song; Jinho Lee 001 (CoRR, 2025)