Seungkyu Choi

25 papers A* 5A 5Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Q-VESA: Accelerating Quantization-Aware Vector Search for Fast Retrieval in Prompt Engineering.
IEEE Trans. Computers
Seongjoon Cho, Junyoung Park, Donghyun Kang, Moohyeon Nam, Hongchan Roh, Moo-Kyoung Chung, Se-Hyun Yang, Seungkyu Choi
2026 J jnl
SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization.
CoRR
Yeonsik Park, Hyeonseong Kim, Seungkyu Choi
2025 J jnl
Accelerating on-device visual task adaptation by exploiting hybrid sparsity in DNN training.
J. Syst. Archit.
Minje Park, Yeonsik Park, Seungkyu Choi
2025 J jnl
PABLO: A Variation-Robust PIM Architecture for Bulk Bitwise Logical Operations in DRAM.
IEEE Trans. Emerg. Top. Comput.
Minh-Son Le, Thanh-Dat Nguyen, Jeong Hoan Park, Seungkyu Choi, Ik-Joon Chang
2025 A* conf
Precon: A Precision-Convertible Architecture for Accelerating Quantized Deep Learning Models across Various Domains Including LLMs.
DAC
Jongwoo Park, Hyeonseong Kim, Jiyun Han, Seungkyu Choi
2025 J jnl
Qrazor: Reliable and effortless 4-bit llm quantization by significant data razoring.
CoRR
Dongyoung Lee, Seungkyu Choi, Ik Joon Chang
2024 A* conf
MERSIT: A Hardware-Efficient 8-bit Data Format with Enhanced Post-Training Quantization DNN Accuracy.
DAC
Nguyen-Dong Ho, Gyujun Jeong, Cheol-Min Kang, Seungkyu Choi, Ik-Joon Chang
2024 A conf
ParaBase: A Configurable Parallel Baseband Processor for Ultra-High-Speed Inter-Satellite Optical Communications.
ISLPED
Seungkyu Choi, Huanshihong Deng, Kuan-Yu Chen, Yufan Yue, David T. Blaauw, Hun-Seok Kim
2023 J jnl
Accelerating On-Device DNN Training Workloads via Runtime Convergence Monitor.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
2023 J jnl
Energy-Efficient CNN Personalized Training by Adaptive Data Reformation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Youngbeom Jung, Hyeonuk Kim, Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
2023 — conf
SONA: An Accelerator for Transform-Domain Neural Networks with Sparse-Orthogonal Weights.
ASAP
Pierre Abillama, Zichen Fan, Yu Chen, Hyochan An, Qirui Zhang, Seungkyu Choi, David T. Blaauw, Dennis Sylvester, Hun-Seok Kim
2022 J jnl
A Deep Neural Network Training Architecture With Inference-Aware Heterogeneous Data-Type.
IEEE Trans. Computers
Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
2022 A* conf
Algorithm/architecture co-design for energy-efficient acceleration of multi-task DNN.
DAC
Jaekang Shin, Seungkyu Choi, Jongwoo Ra, Lee-Sup Kim
2022 J jnl
Rare Computing: Removing Redundant Multiplications From Sparse and Repetitive Data in Deep Neural Networks.
IEEE Trans. Computers
Kangkyu Park, Seungkyu Choi, Yeongjae Choi, Lee-Sup Kim
2021 A conf
A Convergence Monitoring Method for DNN Training of On-Device Task Adaptation.
ICCAD
Seungkyu Choi, Jaekang Shin, Lee-Sup Kim
2020 A* conf
A Pragmatic Approach to On-device Incremental Learning System with Selective Weight Updates.
DAC
Jaekang Shin, Seungkyu Choi, Yeongjae Choi, Lee-Sup Kim
2020 J jnl
An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices.
IEEE J. Solid State Circuits
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2019 — conf
A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices.
A-SSCC
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2019 A* conf
An Optimized Design Technique of Low-bit Neural Network Training for Personalization on IoT Devices.
DAC
Seungkyu Choi, Jaekang Shin, Yeongjae Choi, Lee-Sup Kim
2019 A conf
Compressing Sparse Ternary Weight Convolutional Neural Networks for Efficient Hardware Acceleration.
ISLPED
Hyeonwook Wi, Hyeonuk Kim, Seungkyu Choi, Lee-Sup Kim
2018 A conf
TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training.
ISLPED
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
2017 J jnl
Energy-Efficient Design of Processing Element for Convolutional Neural Network.
IEEE Trans. Circuits Syst. II Express Briefs
Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Minhye Kim, Lee-Sup Kim
2017 A conf
SENIN: An energy-efficient sparse neuromorphic system with on-chip learning.
ISLPED
Myung-Hoon Choi, Seungkyu Choi, Jaehyeong Sim, Lee-Sup Kim
2014 J jnl
Power Allocation Algorithms for GMD or UCD Based Joint Transceiver Designs.
Wirel. Pers. Commun.
Seungkyu Choi, Chungyong Lee
2011 J jnl
A User Scheduling with Minimum-Rate Requirement for Maximum Sum-Rate in MIMO-BC.
IEICE Trans. Commun.
Seungkyu Choi, Chungyong Lee