Journal

※ underline denotes the corresponding author, and * denotes that these authors contributed equally to this work.

Submitted

• Muhammad Yasir Siddiqui and Hyun Kim, “A Theatrical Duel Between Convolutional and Spiking Neural Networks in Object Detection,” Multimedia Systems.

• Hyeonseok Hong, Dahun Choi, Nam Joon Kim and Hyun Kim, "Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution," IEEE Transactions on Circuits and Systems II: Express Briefs.

• Juntae Park, Dahun Choi and Hyun Kim, "CAS: A High-Throughput and Power-Efficient FPGA Implementation of CNN Accelerators Optimized for Skip Connection," IEEE Transactions on Circuits and Systems II: Express Briefs.

• Jong Ho Lee and Hyun Kim, "DCT-ViT: High-Frequency Pruned Vision Transformer with Discrete Cosine Transform," IEEE Access.

• Hyeonseok Hong and Hyun Kim, "VFT: A Versatile Fine-Tuning Scheme based on Feature Distribution-aware Knowledge Distillation for Lightweight Convolutional Neural Networks," Engineering Applications of Artificial Intelligence.

• Seung-Hwan Bae, Hyuk-Jae Lee, and Hyun Kim, "MCM-SR: Multiple Constant Multiplication-based CNN Streaming Hardware Architecture for Super-Resolution," IEEE Transactions on Circuits and Systems I: Regular Papers.

• Seungyong Lee, Sanghyun Lee, Minseok Seo, Chunmyung Park, Woojae Shin, Hyuk-Jae Lee, and Hyun Kim, "NPC: A Non-conflicting Processing-in-memory Controller in DDR Memory Systems," IEEE Transactions on Computers.

Accepted

2024

• [IJ46] Dayoung Chun*, Seung Il Lee*, and Hyun Kim, "USD : Uncertainty-based One-phase Learning to Enhance Pseudo Label Reliability for Semi-supervised Object Detection," IEEE Transactions on Multimedia, Volume: 26, Pages: 6336-6347, 2024.

• [IJ45] Seungil Lee*, Kwanghyun Koo*, Jong Ho Lee, Gilha Lee, Sangbeom Jeong, Seong Jun O, and Hyun Kim, "Vision Transformer Models for Mobile/Edge Devices: A Survey," Multimedia Systems, Volume: 30, Issue: 109, Pages: 1-18, Apr. 2024.

• [IJ44] Dahun Choi*, Hyeonseok Hong*, Namjoon Kim, Haein Lee, Beomjin Kang, Huibeom Kang, and Hyun Kim, "Survey of Convolutional Neural Network Accelerators on Field‑Programmable Gate Array Platforms: Architectures and Optimization Techniques," Journal of Real-Time Image Processing, Volume: 21, Issue: 64, Pages: 1-21, Mar. 2024.

• [IJ43] Nam Joon Kim and Hyun Kim, "Trunk Pruning: Highly Compatible and Versatile Channel Pruning Without Fine-Tuning," IEEE Transactions on Multimedia, Volume: 26, Pages: 5588-5599, 2024.

2023

• [IJ42] Jeong Jun Lee and Hyun Kim, "Multi-step Training Framework Using Sparsity Training for Efficient Utilization of Accumulated New Data in Convolutional Neural Networks," IEEE Access, Volume: 11, Pages: 129613-129622, 2023.

• [IJ41] Kwanghyun Koo and Hyun Kim, "V-SKP: Vectorized Kernel-based Structured Kernel Pruning for Accelerating Deep Convolutional Neural Networks," IEEE Access, Volume: 11, Pages: 118547-118557, 2023.

• [IJ40] Nam Joon Kim and Hyun Kim, "FP-AGL: Filter Pruning with Adaptive Gradient Learning for Accelerating Deep Convolutional Neural Networks," IEEE Transactions on Multimedia, Volume: 25, Pages: 5279-5290, 2023.

• [IJ39] Ji Hoon Jang*, Jin Shin*, Juntae Park, Inseong Hwang, and Hyun Kim, "In-depth Survey of Processing-in-Memory Architectures for Deep Neural Networks," Journal of Semiconductor Technology and Science, Volume: 23, Issue: 5, Pages: 322-339, Oct. 2023.

• [IJ38] Subin Ki*, Juntae Park*, and Hyun Kim, "Dedicated FPGA Implementation of the Gaussian TinyYOLOv3 Accelerator," IEEE Transactions on Circuits and Systems II: Express Briefs, Volume: 70, Issue: 10, Pages:3882-3886, Oct. 2023. [YouTube]

• [IJ37] Jin Shin, Jong Ho Lee, and Hyun Kim, "LL-FMC: Low-latency Frame Memory Compression Scheme with High Reconstructed Quality," IET Electronics Letters, Volume: 59, Issue: 14, Pages:e12893, Jul. 2023.

• [IJ36] Dayoung Chun, Jiwoong Choi, Hyuk-Jae Lee, and Hyun Kim, "CP-CNN: Computational Parallelization of CNN-based Object Detectors in Heterogeneous Embedded Systems for Autonomous Driving," IEEE Access, Volume: 11, Pages:52812-52823, 2023.

• [IJ35] Hyokeun Lee, Seungyong Lee, Byeongki Song, Moonsoo Kim, Seokbo Shim, Hyuk-Jae Lee, and Hyun Kim, "An In-Module Disturbance Barrier for Mitigating Write Disturbance in Phase-Change Memory," IEEE Transactions on Computers, Volume: 72, Issue: 4, Pages:1150-1162, Apr. 2023.

• [IJ34] Jong Ho Lee and Hyun Kim, "Discrete Cosine Transformed Images Are Easy To Recognize in Vision Transformers," IEIE Transactions on Smart Processing & Computing, Volume: 12, Issue: 1, Pages:48-54, Feb. 2023.

2022

• [IJ33] Jeong Jun Lee and Hyun Kim, "Versatile Kernel Reactivation for Deep Convolutional Neural Networks," IET Electronics Letters, Volume: 58, Issue: 19, Pages:723-725, Sep. 2022.

• [IJ32] Jiwoong Choi, Dayoung Chun, Hyuk-Jae Lee, and Hyun Kim, "Efficient Object Detection Acceleration Methods for Autonomous-Driving Embedded Platforms," IEIE Transactions on Smart Processing & Computing, Volume: 11, Issue: 4, Pages:255-261, Aug. 2022.

• [IJ31] Hyokeun Lee, Hyuk-Jae Lee, and Hyun Kim, "A Read Disturbance Tolerant Phase Change Memory System for CNN Inference Workloads," Journal of Semiconductor Technology and Science, Volume: 22, Issue: 4, Pages:216-223, Aug. 2022.

• [IJ30] Hyun Kim, "Review of Optimal Convolutional Neural Network Accelerator Platforms for Mobile Devices," Journal of Computing Science and Engineering, Volume: 16, Issue: 2, Pages:113-119, Jun. 2022.

• [IJ29] Moonsoo Kim, Hyokeun Lee, Hyun Kim, and Hyuk-Jae Lee, "WL-WD: Wear-Leveling Solution to Mitigate Write Disturbance Errors for Phase-Change Memory," IEEE Access, Volume: 10, Pages:11420-11431, 2022.

2021

• [IJ28] Jeong Jun Lee*, Ji Hoon Jang*, Jin Hong Lee, Dayoung Chun, and Hyun Kim, "CNN-based Mask-Pose Fusion for Detecting Specific Persons on Heterogeneous Embedded Systems," IEEE Access, Volume: 9, Pages:120358-120366, 2021.

• [IJ27] Jin Shin and Hyun Kim, "RL-SPIHT: Reinforcement Learning based Adaptive Selection of Compression Ratio for 1-D SPIHT Algorithm," IEEE Access, Volume: 9, Pages:82485-82496, 2021.

• [IJ26] Duy Thanh Nguyen, Hyun Kim, and Hyuk-Jae Lee, "Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors," IEEE Transactions on Circuits and Systems for Video Technology, Volume: 31, Issue: 6, Pages:2450-2464, Jun. 2021.

• [IJ25] Seungyong Lee, Hyokeun Lee, Hyuk-Jae Lee, and Hyun Kim, "Evaluation of Various Workloads in Filebench Suitable for Phase-Change Memory," IEIE Transactions on Smart Processing & Computing, Volume: 10, Issue: 2, Pages:160-166, Apr. 2021.

• [IJ24] Duy Thanh Nguyen, Hyun Kim, and Hyuk-Jae Lee, "An Approximate DRAM Design with an Adjustable Refresh Scheme for Low-Power Deep Neural Networks," Journal of Semiconductor Technology and Science, Volume: 21, Issue: 2, Pages:134-142, Apr. 2021.

• [IJ23] Quan-Dung Pham, Xuan Truong Nguyen, Khac-Thai Nguyen, Hyun Kim, and Hyuk-Jae Lee, "MLS: An MAE-Aware LiDAR Sampling Framework for On-Road Environments Using Spatio-Temporal Information," IEEE Sensors Journal, Volume: 21, Issue: 7, Pages:9389-9401, Apr. 2021.

• [IJ22] Moonsoo Kim, Juhan Lee, Hyun Kim, and Hyuk-Jae Lee, "An Optimal On-Demand Scrubbing Solution for Read Disturbance Errors in Phase-Change Memory," IEIE Transactions on Smart Processing & Computing, Volume: 10, Issue: 1, Pages:55-60, Feb. 2021.

• [IJ21] Sungrae Kim and Hyun Kim, "Zero-Centered Fixed-Point Quantization with Iterative Retraining for Deep Convolutional Neural Network-Based Object Detectors," IEEE Access, Volume: 9, Pages:20828-20839, 2021.

2020

• [IJ20] Xuan Truong Nguyen, Hyun Kim, and Hyuk-Jae Lee, "An Efficient Sampling Algorithm with K-NN Expanding Operator for Depth Data Acquisition in a LiDAR System," IEEE Transactions on Circuits and Systems for Video Technology, Volume: 30, Issue: 12, Pages:4700-4714, Dec. 2020.

• [IJ19] Xuan Truong Nguyen, Tuan Nghia Nguyen, Hyuk-Jae Lee, and Hyun Kim, "An Accurate Weight Binarization Scheme for CNN Object Detectors with Two Scaling Factors," IEIE Transactions on Smart Processing & Computing, Volume: 9, Issue: 6, Pages:497-503, Dec. 2020.

• [IJ18] Hyokeun Lee, Hyunmin Jung, Hyuk-Jae Lee, and Hyun Kim, "Bit-width Reduction in Write Counters for Wear Leveling in a Phase-change Memory System," IEIE Transactions on Smart Processing & Computing, Volume: 9, Issue: 5, Pages:413-419, Oct. 2020. (First Prize in Haedong Best Paper Award)

• [IJ17] Xuan Truong Nguyen, Hyun Kim, and Hyuk-Jae Lee, "A Gradient-Aware Line Sampling Algorithm for LiDAR Scanners," IEEE Sensors Journal, Volume: 20, Issue: 16, Pages:9283-9292, Aug. 2020.

• [IJ16] Duy Thanh Nguyen, Nguyen Huy Hung, Hyun Kim, and Hyuk-Jae Lee, "An Approximate Memory Architecture for Energy Saving in Deep Learning Applications," IEEE Transactions on Circuits and Systems I: Regular Papers, Volume: 67, Issue: 5, Pages:1588-1601, May 2020.

• [IJ15] Jinwoo Park, Hyokeun Lee, Boyeal Kim, Dong-Goo Kang, Seung Oh Jin, Hyun Kim, and Hyuk-Jae Lee, "A Low-Cost and High-Throughput FPGA Implementation of the Retinex Algorithm for Real-time Video Enhancement," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 28, Issue: 1, Pages:101-114, Jan. 2020.

2019

• [IJ14] Hyokeun Lee, Moonsoo Kim, Hyunchul Kim, Hyun Kim, and Hyuk-Jae Lee, "Integration and Boost of a Read-Modify-Write Module in Phase Change Memory System," IEEE Transactions on Computers, Volume: 68, Issue: 12, Pages: 1772-1784, Dec. 2019.

• [IJ13] Moonsoo Kim, Jungwoo Choi, Hyun Kim, and Hyuk-Jae Lee, "An Effective DRAM Address Remapping for Mitigating Rowhammer Errors," IEEE Transactions on Computers, Volume: 68, Issue: 10, Pages: 1428-1441, Oct. 2019.

• [IJ12] Duy Thanh Nguyen, Tuan Nghia Nguyen, Hyun Kim, and Hyuk-Jae Lee, "A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 27, Issue: 8, Pages:1861-1873, Aug. 2019.

• [IJ11] Xuan Truong Nguyen, Khac-Thai Nguyen, Hyun Kim, and Hyuk-Jae Lee, "ROI-based LiDAR Sampling Algorithm in On-road Environment for Autonomous Driving," IEEE Access, Volume: 7, Pages: 90243-90253, Jul. 2019.

• [IJ10] Jiwoong Choi, Boyeal Kim, Hyun Kim, and Hyuk-Jae Lee, "A High-Throughput Hardware Accelerator for Lossless Compression of a DDR4 Command Trace," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 27, Issue: 1, Pages: 92-102, Jan. 2019.

2018

• [IJ9] Hyun Kim, Albert No, and Hyuk-Jae Lee, "SPIHT Algorithm with Adaptive Selection of Compression Ratio Depending on DWT Coefficients," IEEE Transactions on Multimedia, Volume: 20, Issue: 12, Pages: 3200-3211, Dec. 2018.

• [IJ8] Hyun Kim, Hyuk-Jae Lee, and Ik-joon Chang, "Optimal Selection of SRAM Bit-Cell Size for Power Reduction in Video Compression," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Volume: 8, Issue: 3, Pages: 431-443, Sep. 2018.

• [IJ7] Konstantin Bick, Duy Thanh Nguyen, Hyuk-Jae Lee, and Hyun Kim, "Fast and Accurate Memory Simulation by Integrating DRAMSim2 into McSimA+," MDPI Electronics, Volume: 7, Issue: 8, Aug. 2018.

• [DJ1] Hyun Kim and Hyuk-Jae Lee, "자율주행자동차 성능향상을 위한 인공지능 플랫폼 기술개발 동향," 한국자동차공학회 오토저널, Volume: 40, Issue: 6, Pages: 37-42, Jun. 2018.

• [IJ6] Xuan Truong Nguyen, Hyun Kim, and Hyuk-Jae Lee, "A Low-cost Hardware Design of a 1-D SPIHT Algorithm for Video Display Systems," IEEE Transactions on Consumer Electronics, Volume: 64, Issue: 1, Pages : 44-52, Feb. 2018.

• [IJ5] Xuan Truong Nguyen, Dinh Van Luan, Hyun Kim, and Hyuk-Jae Lee, "A High-Definition LIDAR System Based on Two-Mirror Deflection Scanners," IEEE Sensors Journal, Volume: 18, Issue: 2, Pages : 559-568, Jan. 2018.

2017

• [IJ4] Hyun Kim and Hyuk-Jae Lee, "A Low-Power Surveillance Video Coding System with Early Background Subtraction and Adaptive Frame Memory Compression," IEEE Transactions on Consumer Electronics, Volume: 63, Issue: 4, Pages: 359-367, Nov. 2017.

2016

• [IJ3] Hyun Kim, Chae Eun Rhee, and Hyuk-Jae Lee, "A Low-Power Video Recording System with Multiple Operation Modes for H.264 and Light-Weight Compression," IEEE Transactions on Multimedia, Volume: 18, Issue: 4, Pages: 603-613, Apr. 2016.

2015

• [IJ2] Sunwoong Kim, Donghyeon Lee, Hyun Kim, Nguyen Xuan Truong, and Jin-Sung Kim, "An enhanced one-dimensional SPIHT algorithm and its implementation for TV systems," Displays, Volume: 40, Pages: 68-77, Dec. 2015.

• [IJ1] Hyun Kim, Chae Eun Rhee, and Hyuk-Jae Lee, "An Effective Combination of Power Scaling for H.264/AVC Compression," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 23, Issue: 11, Pages: 2685-2689, Nov. 2015.

Conference

Submitted

※ Paper titles submitted to some conferences cannot be disclosed due to the blind review policy.

• Inseong Hwang, Ji Hoon Jang, and Hyun Kim, The 53rd International Conference on Parallel Processing (ICPP 2024). (IF: 2, NRF BK21+).

• Dahun Choi, Juntae Park, and Hyun Kim, The 18th European Conference on Computer Vision (ECCV 2024). (IF: 2, NRF BK21+).

• Ji Hoon Jang, Hyokeun Lee, and Hyun Kim, 2024 ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED 2024). (IF: 1, NRF BK21+).

• Jin Shin and Hyun Kim, The Forty-first International Conference on Machine Learning (ICML 2024). (IF: 4, NRF BK21+) (Topic: AI Algorithm)

Accepted

• [IC82] Nam Joon Kim, Jong Ho Lee, and Hyun Kim, "HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks," 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Aug. 2024. (IF: 4, NRF BK21+)

• [IC81] Dahun Choi and Hyun Kim, "ARC: Adaptive Rounding and Clipping Considering Gradient Distribution for Deep Convolutional Neural Network Training," IEEE International Symposium on Circuits and Systems (ISCAS 2024), May 2024.

• [IC80] Sangbeom Jeong, Dahun Choi, and Hyun Kim, "SRU-Q: Hardware-Friendly Stochastic Rounding Unit-Based Gradient Quantization for CNN Training," 6th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2024), Apr. 2024.

• [IC79] Gilha Lee, Seung Il Lee, and Hyun Kim, "ACC: Adaptive Compression Framework for Efficient On-Device CNN Training," 6th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2024), Apr. 2024.

• [IC78] Dayoung Chun, Hyuk-Jae Lee, and Hyun Kim, "PF-Training: Parameter Freezing for Efficient On-Device Training of CNN-Based Object Detectors in Low-Resource Environments," 6th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2024), Apr. 2024.

2024

• [IC77] Seung Il Lee and Hyun Kim, "Enhancing Pseudo-labeling Performance in Object Detection Using Gaussian Mixture Modeled Uncertainty," 2024 International Conference on Electronics, Information, and Communications (ICEIC 2024), Jan. 2024.

• [IC76] Dahun Choi and Hyun Kim, "GDS: Gradient Distribution Scaling-based Gradient Quantization for Low-complexity and Hardware-friendly Training of Instance Segmentation Models," 2024 International Conference on Electronics, Information, and Communications (ICEIC 2024), Jan. 2024.

• [IC75] Hyeon Seok Hong and Hyun Kim, "Implementation of Tiled Point-wise Convolution in MobileNet for Parallel Processing," 2024 International Conference on Electronics, Information, and Communications (ICEIC 2024), Jan. 2024.

• [IC74] Inseong Hwang, Jihoon Jang, and Hyun Kim, "An Architecture-level Framework for Enabling Processing-Using-Memory Simulations in Deep Neural Networks," 2024 International Conference on Electronics, Information, and Communications (ICEIC 2024), Jan. 2024.

• [IC73] Kwanghyun Koo and Hyun Kim, "Extreme Pruning Technique Based on Filter Deactivation using Sparsity Training for Deep Convolutional Neural Networks," 2024 International Conference on Electronics, Information, and Communications (ICEIC 2024), Jan. 2024.

• [IC72] Jin Shin and Hyun Kim, "A Simplified Feature Alignment Strategy for Image Classification Across Domains," 2024 International Conference on Electronics, Information, and Communications (ICEIC 2024), Jan. 2024.

• [IC71] Beom Jin Kang, Dahun Choi, and Hyun Kim, "Mixed Precision Quantization with Hardware-friendly Activation Functions for HybridViT Models," 2024 International Conference on Electronics, Information, and Communications (ICEIC 2024), Jan. 2024.

• [DC86] 신진, 김현, "웨이블릿 계수 분포를 활용한 Fast Domain Generalization," 제 31회 한국반도체학술대회 (KCS 2024), pages : 757-757, Jan. 2024.

• [DC85] Hyeon Seok Hong and Hyun Kim, "Dedicated Processing Engines for Depth-wise Separable Convolution," 제 31회 한국반도체학술대회 (KCS 2024), pages : 755-755, Jan. 2024.

2023

• [DC84] 서유민, 안차민, 유나영, 이선혜, 홍현석, 김현, "CNN 기반 인원 계수 시스템의 전용 FPGA 구현," 2023년도 대한전자공학회 추계종합학술대회, pages : 466-469, Nov. 2023.

• [DC83] 김영찬, 이승일, 김현, "엣지 디바이스에 적합한 YOLOv5 양자화 방법," 2023년도 대한전자공학회 추계종합학술대회, pages : 170-171, Nov. 2023.

• [IC70] Ji Hoon Jang, Hyokeun Lee, and Hyun Kim, "A Spatio-Temporal Switchable Data Prefetcher for Convolutional Neural Networks," 20th International SoC Design Conference (ISOCC 2023), pages : 141-142, Oct. 2023.

• [IC69] Beom Jin Kang, Nam Joon Kim, Jong Ho Lee, and Hyun Kim, "Hardware-friendly Activation Functions for HybridViT Models," 20th International SoC Design Conference (ISOCC 2023), pages : 147-148, Oct. 2023.

• [IC68] Seung Il Lee, Sangbeom Jeong, and Hyun Kim, "Design of a High-Performance Instance Segmentation Model Using Uncertainty-Guided Non-Maximum Suppression and Normalization," 2023 The 23rd International Conference on Control, Automation and Systems (ICCAS 2023), Pages : 1087-1090, Oct. 2023.

• [IC67] Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vitor Fortes Rey, and Paul Lukowicz, "FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors," 34th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP2023), Pages : 110-118, Jul. 2023.

• [DC82] 전다영, 이승일, 이혁재, 김현, "준지도 학습 성능 향상을 위한 Pseudo-label 신뢰도 기반 필터링," 2023년도 대한전자공학회 하계종합학술대회, Pages : 1633-1634, Jun. 2023.

• [DC81] 황인성, 장지훈, 신진, 김현, "McSimA+ 시뮬레이터를 사용한 Vision Transformer 추론 과정의 레이어 별 Memory Bottleneck 분석," 2023년도 대한전자공학회 하계종합학술대회, Pages : 156-160, Jun. 2023.

• [DC80] 서유민, 홍현석, 김남준, 김현, "CNN 기반의 경량화된 인원 계수 모델 설계," 2023년도 대한전자공학회 하계종합학술대회, Pages : 1093-1094, Jun. 2023.

• [DC79] 김남준, 이종호, 이해인, 김영찬, 윤석규, 김현, "Hybrid-Vision Transformer의 정수 양자화 성능 분석," 2023년도 대한전자공학회 하계종합학술대회, Pages : 1087-1089, Jun. 2023.

• [DC78] 강범진, 김남준, 이종호, 오성준, 김현, "EfficientViT를 활용한 고성능 Instance Segmentation 모델 설계," 2023년도 대한전자공학회 하계종합학술대회, Pages : 1079-1081, Jun. 2023.

• [DC77] 강희범, 최다훈, 김현, "음의 값을 가지는 활성화 함수를 포함하는 CNN을 위한 하드웨어 친화적인 로그 양자화 기법," 2023년도 대한전자공학회 하계종합학술대회, Pages : 952-954, Jun. 2023.

• [DC76] 홍현석, 김현, "데이터 증강과 지식증류를 활용한 CNN 성능 향상 기법," 2023년도 대한전자공학회 하계종합학술대회, Pages : 1077-1078, Jun. 2023.

• [DC75] 최다훈, 이종호, 홍현석, 강희범, 김현, "ONNX 변환을 통한 심층신경망의 성능 분석," 2023년도 대한전자공학회 하계종합학술대회, Pages : 1085-1086, Jun. 2023.

• [DC74] 정상범, 이승일, 김현, "불확실성 정규화를 활용한 CNN 기반 객체 분할 모델의 성능 향상 기법," 2023년도 대한전자공학회 하계종합학술대회, Pages : 1082-1084, Jun. 2023.

• [DC73] 이길하, 구광현, 박준태, 김현, "하드웨어 친화적인 CNN 기반 객체 분할 모델 구현을 위한 배치 정규화 기법," 2023년도 대한전자공학회 하계종합학술대회, Pages : 1090-1092, Jun. 2023.

• [IC66] Kwanghyun Koo and Hyun Kim, "PPT-KP: Pruning Point Training-based Kernel Pruning for Deep Convolutional Neural Networks," 5th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Jun. 2023.

• [IC65] Gilha Lee, Nam Joon Kim, and Hyun Kim, "GPiL: Gradient with Pseudoinverse Learning for High Accuracy Fine-Tuning," 5th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Jun. 2023.

• [IC64] Nam Joon Kim and Hyun Kim, "RepSGD: Channel Pruning Using Reparamerization for Accelerating Convolutional Neural Networks," IEEE International Symposium on Circuits and Systems (ISCAS 2023), May 2023.

• [IC63] Seung Il Lee, Dayoung Chun, and Hyun Kim, "UCR-SSL: Uncertainty-Based Consistency Regularization for Semi-Supervised Learning," 2023 International Conference on Electronics, Information, and Communications (ICEIC 2023), Pages : 548-550, Feb. 2023.

• [IC62] Nam Joon Kim and Hyun Kim, "AGT: Channel Pruning Using Adaptive Gradient Training for Accelerating Convolutional Neural Networks," 2023 International Conference on Electronics, Information, and Communications (ICEIC 2023), Pages : 323-325, Feb. 2023.

• [IC61] Jin Shin and Hyun Kim, "DWT+DWT: Deep Learning Domain Generalization Techniques Using Discrete Wavelet Transform With Deep Whitening Transform," 2023 International Conference on Electronics, Information, and Communications (ICEIC 2023), Pages : 551-553, Feb. 2023.

• [IC60] Ji Hoon Jang, Hyokeun Lee, and Hyun Kim, "Characterizing Memory Access Patterns of Various Convolutional Neural Networks for Utilizing Processing-In-Memory," 2023 International Conference on Electronics, Information, and Communications (ICEIC 2023), Pages : 358-360, Feb. 2023.

2022

• [IC59] Hyeon Seok Hong and Hyun Kim, "Feature Distribution-based Knowledge Distillation for Deep Neural Networks," 19th International SoC Design Conference (ISOCC 2022), Pages : 75-76, Oct. 2022.

• [IC58] Ji Hoon Jang, Hyokeun Lee, and Hyun Kim, "Performance Analysis of Phase Change Memory System on Various CNN Inference Workloads," 19th International SoC Design Conference (ISOCC 2022), Pages : 133-134, Oct. 2022.

• [IC57] Seung Il Lee and Hyun Kim, "GaussianMask: Uncertainty-aware Instance Segmentation based on Gaussian Modeling," 26th International Conference on Pattern Recognition (ICPR 2022), Pages : 3851-3857, Aug. 2022. (IF: 1, NRF BK21+) [YouTube]

• [DC72] 박재순, 김남준, 김현, "심층 신경망의 경량화를 위한 양자화와 프루닝 간의 호환 가능성 분석," 2022년도 대한전자공학회 하계종합학술대회, Pages : 1490-1491, Jul. 2022.

• [DC71] 이길하, 이승일, 김현, "하드웨어 친화적인 심층 신경망 구현을 위한 근사화 기법," 2022년도 대한전자공학회 하계종합학술대회, Pages : 1532-1534, Jul. 2022.

• [DC70] 홍현석, 구광현, 김현, "경량화된 딥러닝 모델의 성능 보완을 위한 지식 증류 기반의 미세 조정 기법," 2022년도 대한전자공학회 하계종합학술대회, Pages : 1498-1499, Jul. 2022.

• [DC69] 이주한, 김현, 이혁재, "Read 카운터를 제외한 상변화 메모리 상의 Stochastic On-demand Scrubbing," 2022년도 대한전자공학회 하계종합학술대회, Pages : 664-666, Jun. 2022.

• [DC68] 이정준, 김현, "고성능 컨볼루션 신경망을 위한 커널 재활성화 기법," 2022년도 대한전자공학회 하계종합학술대회, Pages : 1183-1185, Jun. 2022.

• [DC67] 전다영, 이승일, 이혁재, 김현, "Pseudo label의 불확실성을 활용한 딥뉴럴네트워크의 성능 향상 기법," 2022년도 대한전자공학회 하계종합학술대회, Pages : 1101-1102, Jun. 2022.

• [IC56] Sungrae Kim and Hyun Kim, "Power-Efficient Double-Cyclic Low-Precision Training for Convolutional Neural Networks," 4th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2022), Pages : 344-347, Jun. 2022.

• [IC55] Dahun Choi and Hyun Kim, "Hardware-Friendly Logarithmic Quantization with Mixed-Precision for MobileNetV2," 4th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2022), Pages : 348-351, Jun. 2022.

• [IC54] Seungjin Lee and Hyun Kim, "DC-MPQ: Distributional Clipping based Mixed-Precision Quantization for Convolutional Neural Networks," 4th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2022), Pages : 130-133, Jun. 2022.

• [IC53] Hyokeun Lee, Hyungsuk Kim, Seokbo Shim, Seungyong Lee, Dosun Hong, Hyuk-Jae Lee, and Hyun Kim, "PCMCsim: An Accurate Phase-Change Memory Controller Simulator and its Performance Analysis," 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2022), Pages : 299-309, May 2022. (IF: 1, NRF BK21+)

• [IC52] Subin Ki and Hyun Kim, "Activation Distribution-based Layer-wise Quantization for Convolutional Neural Networks," 2022 International Conference on Electronics, Information, and Communications (ICEIC 2022), Pages : 357-360, Feb. 2022.

• [IC51] Jin Shin and Hyun Kim, "Fine-tuned SPIHT Algorithm to Improve Compression Efficiency," 2022 International Conference on Electronics, Information, and Communications (ICEIC 2022), Pages : 390-392, Feb. 2022.

2021

• [IC50] Hyeong Gi Seong, Hyokeun Lee, Hyun Kim, and Hyuk-Jae Lee, "Analysis of Hardware Prefetchers Suitable for CNN Applications," IEEE/IEIE The Sixth International Conference On Consumer Electronics Asia (ICCE-Asia) 2021, Pages : 446-447, Nov. 2021.

• [IC49] Joohan Yi, Hyun Kim, and Hyuk-Jae Lee, "Estimation of On-demand Scrubbing Points in Phase-Change Memory without Read Counter," IEEE/IEIE The Sixth International Conference On Consumer Electronics Asia (ICCE-Asia) 2021, Pages : 504-506, Nov. 2021.

• [IC48] Seungyong Lee, Sanghyun Lee, Minseok Seo, Chunmyung Park, Hyuk-Jae Lee, Woojae Shin, and Hyun Kim, "A High-Performance Scheduling Algorithm for Mode Transition in PIM," IEEE/IEIE The Sixth International Conference On Consumer Electronics Asia (ICCE-Asia) 2021, Pages : 507-510, Nov. 2021.

• [IC47] Sungrae Kim and Hyun Kim, "Linear Domain-aware Log-scale Post-training Quantization," IEEE/IEIE The Sixth International Conference On Consumer Electronics Asia (ICCE-Asia) 2021, Pages : 301-303, Nov. 2021.

• [IC46] Juntae Park and Hyun Kim, "Analysis for Implementing Power-Efficient Convolutional Operators on FPGA Platforms," IEEE/IEIE The Sixth International Conference On Consumer Electronics Asia (ICCE-Asia) 2021, Pages : 38-39, Nov. 2021. (Best Paper Award Silver Prize)

• [IC45] Hyun Kim, "Implementation of Optimal CNN Accelerators for Mobile Devices: Algorithm, Architecture, and Memory System Co-Design," 18th International SoC Design Conference (ISOCC 2021), Pages : 237-238, Oct. 2021.

• [IC44] Dahun Choi and Hyun Kim, "Hardware-friendly Log-scale Quantization for CNNs with Activation Functions Containing Negative Values," 18th International SoC Design Conference (ISOCC 2021), Pages : 415-416, Oct. 2021.

• [IC43] Jeong Jun Lee, Seung Il Lee, and Hyun Kim, "Continual Learning for Instance Segmentation to Mitigate Catastrophic Forgetting," 18th International SoC Design Conference (ISOCC 2021), Pages : 85-86, Oct. 2021.

• [DC66] 김현, "자율주행의 카메라 센서 기반 물체 탐지를 위한 통합 하드웨어 플랫폼 구현," CICS’21 정보 및 제어 학술대회, Pages : 178-179, Oct. 2021.

• [DC65] 이종호, 김현, "2D-DWT를 이용한 딥러닝 기반 실시간 객체 인식 알고리즘의 성능 향상," 2021년도 대한전자공학회 하계종합학술대회, Pages : 1928-1929, Jun. 2021.

• [DC64] 기수빈, 박준태, 주혜린, 김현, "임베디드 플랫폼을 위한 Float-Fixed MAC과 Fixed-Fixed MAC 연산기의 하드웨어 리소스 비교," 2021년도 대한전자공학회 하계종합학술대회, Pages : 439-441, Jun. 2021.

• [DC63] 주혜린, 박준태, 기수빈, 김현, "Mixed precision과 적응적 bias을 활용한 8-bit 부동소수점 양자화," 2021년도 대한전자공학회 하계종합학술대회, Pages : 1080-1082, Jun. 2021.

• [DC62] 이정준, 김현, "인스턴스 분할과 포즈 추정을 활용한 특정 인물 탐색," 2021년도 대한전자공학회 하계종합학술대회, Pages : 1064-1065, Jun. 2021.

• [DC61] 홍현석, 김현, "초해상화 기반의 전처리를 활용한 영상 내 문자 검출 기법," 2021년도 대한전자공학회 하계종합학술대회, Pages : 1086-1087, Jun. 2021.

• [DC60] 최다훈, 김현, "음의 임계값을 이용한 딥뉴럴네트워크의 하드웨어 친화적 양자화," 2021년도 대한전자공학회 하계종합학술대회, Pages : 1103-1104, Jun. 2021.

• [DC59] 이승일, 김현, "가우시안 모델링을 기반으로 한 정확한 포즈 추정 기법," 2021년도 대한전자공학회 하계종합학술대회, Pages : 1101-1102, Jun. 2021.

• [DC58] 김성래, 김현, "Near Zero-Skipping을 활용한 저전력 CNN 네트워크," 2021년도 대한전자공학회 하계종합학술대회, Pages : 876-877, Jun. 2021.

• [DC57] 구광현, 김현, "커널 프루닝을 위한 필터 프루닝 기반의 레이어 민감도 측정 기법," 2021년도 대한전자공학회 하계종합학술대회, Pages : 1879-1880, Jun. 2021.

• [DC56] 이주한, 김문수, 김현철, 김현, 이혁재, "상변화 메모리의 Read 카운터를 제외한 On-demand Scrubbing 솔루션," 2021년도 대한전자공학회 하계종합학술대회, Pages : 473-475, Jun. 2021.

• [DC55] 김형석, 이효근, 김현, 이혁재, "PCM controller에서 빠른 주소 변환을 위한 stream prefetcher 구현," 2021년도 대한전자공학회 하계종합학술대회, Pages : 341-342, Jun. 2021.

• [DC54] 박천명, 이승용, 김현, 이혁재, "메모리 접근 패턴 분석을 통한 PIM에 적합한 딥러닝 워크로드 구별 방법," 2021년도 대한전자공학회 하계종합학술대회, Pages : 437-438, Jun. 2021.

• [DC53] 서민석, 이승용, 김현, 이혁재, "FPGA를 이용한 메모리 컨트롤러 검증 플랫폼 구축," 2021년도 대한전자공학회 하계종합학술대회, Pages : 429-430, Jun. 2021.

• [DC52] 성형기, 이효근, 이지헌, 김현, 이혁재, "PRAM의 Resistance Drift를 고려한 이중 해시 테이블 구조," 2021년도 대한전자공학회 하계종합학술대회, Pages : 450-451, Jun. 2021.

• [DC51] 이승용, 이효근, 김현, 이혁재, "PCRAM 컨트롤러 내 data caching 기법," 2021년도 대한전자공학회 하계종합학술대회, Pages : 427-428, Jun. 2021.

• [DC50] 전다영, 이승일, 이혁재, 김현, "Weak Label을 활용한 딥뉴럴네트워크의 성능 향상 기법," 2021년도 대한전자공학회 하계종합학술대회, Pages : 1066-1067, Jun. 2021.

• [IC42] Jin Shin and Hyun Kim, "Object Detector Friendly Frame Memory Compression Based on 1-D DWT and SPIHT," The 36nd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2021), Pages : 809-811, Jun. 2021.

• [IC41] Seungjin Lee and Hyun Kim, "Feature Map-Aware Activation Quantization for Low-bit Neural Networks," The 36nd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2021), Pages : 460-462, Jun. 2021.

• [IC40] Seung-Hwan Bae, Hyuk-Jae Lee, and Hyun Kim, "DC-AC: Deep Correlation-based Adaptive Compression of Feature Map Planes in Convolutional Neural Networks," IEEE International Symposium on Circuits and Systems (ISCAS 2021), May 2021.

• [IC39] Seung-Hwan Bae, Hyuk-Jae Lee, and Hyun Kim, "Cache Compression with Golomb-Rice Code and Quantization for Convolutional Neural Networks," IEEE International Symposium on Circuits and Systems (ISCAS 2021), May 2021.

2020

• [DC49] 심석보, 이효근, 김형석, 김현, 이혁재 "PCRAM 기반 스토리지의 set-associative cache 성능 분석," 2020년도 대한전자공학회 추계종합학술대회, Pages : 59-60, Nov. 2020.

• [IC38] Seungjin Lee and Hyun Kim, "MPQ-YOLACT: Mixed-Precision Quantization for Lightweight YOLACT," IEEE/IEIE The Fifth International Conference On Consumer Electronics Asia (ICCE-Asia) 2020, Pages : 370-373, Nov. 2020.

• [IC37] Sungrae Kim and Hyun Kim, "Mixture of Deterministic and Stochastic Quantization Schemes for Lightweight CNN," 17th International SoC Design Conference (ISOCC 2020), Pages : 314-315, Oct. 2020.

• [IC36] Nam Joon Kim and Hyun Kim, "Mask-Soft Filter Pruning for Lightweight CNN Inference," 17th International SoC Design Conference (ISOCC 2020), Pages : 316-317, Oct. 2020.

• [IC35] Seung Il Lee and Hyun Kim, "Instant and Accurate Instance Segmentation Equipped with Path Aggregation and Attention Gate," 17th International SoC Design Conference (ISOCC 2020), Pages : 320-321, Oct. 2020.

• [IC34] Quan-Dung Pham, Xuan Truong Nguyen, Hyuk-Jae Lee, and Hyun Kim, "An MAE-aware ROI Sampling Model for LiDAR," 17th International SoC Design Conference (ISOCC 2020), Pages : 276-277, Oct. 2020.

• [IC33] Xuan Truong Nguyen, Hyuk-Jae Lee, and Hyun Kim, "A LiDAR sampling algorithm for depth data acquisition in on-road environment for autonomous driving," 2020 International Conference on Electric-Vehicle, Smart Grid, and Information Technology (ICESI 2020), Sep. 2020.

• [IC32] Jiwoong Choi, Dayoung Chun, Hyuk-Jae Lee, and Hyun Kim, "Uncertainty-Based Object Detector for Autonomous Driving Embedded Platforms," 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020), Pages : 16-20, Aug. 2020.

• [DC48] 김성래, 김현, "적응적 스케일 펙터를 활용한 INT8로 양자화된 YOLOv3," 2020년도 대한전자공학회 하계종합학술대회, Pages : 1270-1271, Aug. 2020.

• [DC47] 김남준, 김현, "CNN 경량화를 위한 소프트한 가중치 푸르닝," 2020년도 대한전자공학회 하계종합학술대회, Pages : 1268-1269, Aug. 2020.

• [DC46] 이승일, 김현, "가우시안 모델링 기반의 정확한 Instance Segmentation," 2020년도 대한전자공학회 하계종합학술대회, Pages : 1277-1278, Aug. 2020.

• [DC45] 신진, 김현, "SPIHT 알고리즘의 가변적 압축율을 위한 지도학습 기반의 Classification 모델 구현," 2020년도 대한전자공학회 하계종합학술대회, Pages : 1279-1280, Aug. 2020.

• [DC44] 이승용, 이효근, 송병기, 김현, 이혁재, "Filebench를 활용한 PCRAM에 적합한 워크로드 분석," 2020년도 대한전자공학회 하계종합학술대회, Pages : 588-589, Aug. 2020.

• [DC43] 이상현, 김보열, 김현, 이혁재, "Nvbit를 이용한 Approximate Memory의 GPU 플랫폼 적용," 2020년도 대한전자공학회 하계종합학술대회, Pages : 586-587, Aug. 2020.

• [DC42] 송병기, 이효근, 김현, 이혁재, "FPGA를 이용한 PRAM 컨트롤러 에뮬레이션 시스템 구현," 2020년도 대한전자공학회 하계종합학술대회, Pages : 592-593, Aug. 2020.

• [DC41] 김성래, 김현, "적응적 고정 소수점 양자화를 이용한 경량화된 자율주행용 물체 인식기 구현," 2020년도 대한전기학회 제51회 하계학술대회, Pages : 95-96, Jul. 2020.

• [IC31] Boyeal Kim, SangHyun Lee, Hyun Kim, Duy-Thanh Nguyen, Minh-Son Le, Ik Joon Chang, Dohun Kwon, Jin Hyeok Yoo, Jun Won Choi, and Hyuk-Jae Lee, "PCM: Precision-Controlled Memory System for Energy Efficient Deep Neural Network Training," Design, Automation and Test in Europe Conference 2020 (DATE 2020), Pages : 1199-1204, Apr. 2020. (IF: 2, NRF BK21+, Acceptance rate : 26%)

• [IC30] Dayoung Chun, Jiwoong Choi, Hyuk-Jae Lee, and Hyun Kim, "Memory Concurrency Optimization of One-Stage Object Detector for Embedded Systems," 2020 International Conference on Electronics, Information, and Communications (ICEIC 2020), Pages : 833-835, Jan. 2020.

• [IC29] Xuan Truong Nguyen, Tuan Nghia Nguyen, Hyuk-Jae Lee, and Hyun Kim, "An Accurate Weight Binarization Method for a CNN Object Detector Using Double Scaling Factors," 2020 International Conference on Electronics, Information, and Communications (ICEIC 2020), Pages : 209-210, Jan. 2020.

• [IC28] Moonsoo Kim, Hyuk-Jae Lee, and Hyun Kim, "An On-Demand Scrubbing Solution for Read Disturbance Error in Phase-Change Memory," 2020 International Conference on Electronics, Information, and Communications (ICEIC 2020), Pages : 110-111, Jan. 2020.

• [IC27] Hyokeun Lee, Hyunmin Jung, Hyuk-Jae Lee, and Hyun Kim, "Bitwidth Reduction of Write Counters for Wear Leveling in a Phase-Change Memory System," 2020 International Conference on Electronics, Information, and Communications (ICEIC 2020), Pages : 876-877, Jan. 2020.

• [IC26] Jiwoong Choi, Dayoung Chun, Hyuk-Jae Lee, and Hyun Kim, "Uncertainty Modeling and Its Utilization for Accurate Object Detection in Autonomous Driving," 2020 International Conference on Electronics, Information, and Communications (ICEIC 2020), Pages : 67-68, Jan. 2020.

• [IC25] Duy Thanh Nguyen, Ik-joon Chang, Hyuk-Jae Lee, and Hyun Kim "An approximate DRAM with efficient refresh schemes for low power deep learning applications," 2020 International Conference on Electronics, Information, and Communications (ICEIC 2020), Pages : 546-547, Jan. 2020. (Best Paper Award Silver Prize)

2019

• [DC40] 김성래, 김현, "임베디드 플랫폼 기반 자율주행을 위한 적응형 데이터 양자화를 적용한 하드웨어 친화적인 YOLOv3," 2019년도 대한전자공학회 추계종합학술대회, Pages : 798-800, Nov. 2019.

• [DC39] 김남준, 김현, "임베디드 플랫폼 기반 자율주행을 위한 채널 푸르닝된 YOLOv3의 성능 분석," 2019년도 대한전자공학회 추계종합학술대회, Pages : 804-806, Nov. 2019.

• [DC38] 전다영, 최지웅, 김현, "Two-Context CNN Inference with TensorRT," 2019년도 대한전자공학회 추계종합학술대회, Pages : 460-461, Nov. 2019.

• [DC37] Duy Thanh Nguyen, Tuan Nghia Nguyen, Hyun Kim, Hyuk-Jae Lee, "A multiplier-less quantization for a high performance YOLO-v2 implementation on FPGA," 2019년도 대한전자공학회 추계종합학술대회, Pages : 104-105, Nov. 2019.

• [IC24] Jiwoong Choi, Dayoung Chun, Hyun Kim, and Hyuk-Jae Lee, "Gaussian YOLOv3: An Accurate and Fast Object Detector using Localization Uncertainty for Autonomous Driving," International Conference on Computer Vision (ICCV) 2019, Pages : 502-511, Oct. 2019. (IF: 4, NRF BK21+, Acceptance rate : 25%)

• [DC36] 최지웅, 전다영, 김성래, 이승일, 이혁재, 김현, "임베디드 플랫폼 기반 자율주행을 위한 다양한 YOLO 알고리즘 성능 분석," 2019년도 대한전기학회 제50회 하계학술대회, Pages : 84-85, Jul. 2019.

• [DC35] 김현, 이영일, "스마트에너지타운 내에서 자율주행이 가능한 저전력 전기자동차 구현," 2019년도 대한전기학회 제50회 하계학술대회, Pages : 30-31, Jul. 2019.

• [DC34] Boyeal Kim, Hyun Kim, and Hyuk-Jae Lee, "근사 메모리를 이용한 GPU 기반의 에너지 효율적 PIM 계층 구조," 2019년도 대한전자공학회 하계종합학술대회, Pages : 1500-1501, Jun. 2019.

• [DC33] Duy Thanh Nguyen, Boyeal Kim, Hyun Kim, and Hyuk-Jae Lee, "딥러닝 어플리케이션에서 리프레시 에너지 절감을 위한 비트 전치 유닛 기반의 근사 메모리 아키텍처," 2019년도 대한전자공학회 하계종합학술대회, Pages : 1502-1503, Jun. 2019.

• [DC32] 이승일, 김성래, 기수빈, 최지웅, 전다영, 김현, "Letterbox 값에 따른 YOLOv3 알고리즘 성능 분석," 2019년도 대한전자공학회 하계종합학술대회, Pages : 721-722, Jun. 2019.

• [DC31] 김성래, 이승일, 김남준, 최지웅, 전다영, 김현, "자율주행 데이터셋을 활용한 푸르닝된 YOLOv3 알고리즘 성능 분석," 2019년도 대한전자공학회 하계종합학술대회, Pages : 717-718, Jun. 2019.

• [DC30] 김문수, 이효근, 이혁재, 김현, "Write Disturbance Error를 고려한 PRAM Wear-Leveling 알고리즘," 2019년도 대한전자공학회 하계종합학술대회, Pages : 300-302, Jun. 2019.

• [DC29] 이효근, 김현, 이혁재, "듀얼 채널 상변화 메모리 시스템을 위한 Read-Modify-Write 모듈의 최적화," 2019년도 대한전자공학회 하계종합학술대회, Pages : 289-290, Jun. 2019.

• [DC28] Xuan Truong Nguyen, Quan Dung Pham, Hyun Kim, and Hyuk-Jae Lee, "An Object-boundary-aware Scanning Policy for a LiDAR System," 2019년도 대한전자공학회 하계종합학술대회, Pages : 564-565, Jun. 2019.

• [IC23] Dayoung Chun, Jiwoong Choi, Hyun Kim, and Hyuk-Jae Lee, “A Study for Selecting the Best One-Stage Detector for Autonomous Driving,” The 34nd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2019), Pages : 408-410, Jun. 2019.

• [IC22] Tuan Nghia Nguyen, Xuan Truong Nguyen, Hyun Kim, and Hyuk-Jae Lee, “A Lightweight YOLOv2 Object Detector Using a Dilated Convolution,” The 34nd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2019), Pages : 928-929, Jun. 2019.

• [IC21] Xuan Truong Nguyen, Jiwoong Choi, Hyuk-Jae Lee, and Hyun Kim, "A Hardware-Friendly Compression Algorithm for Profiling DDR4 Memory Accesses," 2019 International Conference on Electronics, Information, and Communications (ICEIC), Pages : 988-989, Jan. 2019.

• [IC20] Jiwoong Choi, Boyeal Kim, Hyuk-Jae Lee, and Hyun Kim, "A Preprocessing Method for Improving the Compression Ratio of LPDDR4 Command Trace," 2019 International Conference on Electronics, Information, and Communications (ICEIC), Pages : 1086-1087, Jan. 2019.

2018

• [DC27] Duy Thanh Nguyen, Seungwan Baek, Hyun Kim, "A fine-grained refresh scheme for a DRAM power reduction in deep learning application," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC26] Tuan Nghia Nguyen, Duy Thanh Nguyen, Hyun Kim, "QYOLO: A hardware design of quantized neural networks for low cost object detection," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC25] Thai K. Nguyen, Xuan Truong Nguyen, Hyun Kim, "Distribution of LiDAR sampling budget within an ROI using semantic information," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC24] Xuan Truong Nguyen, Hyun Kim, "Nearly-lossless compressive sampling algorithm for depth data acquisition systems," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC23] Nguyen Huy Hung, Duy Thanh Nguyen, Hyun Kim, "Bit Transpose Unit Design for Approximate Memory Architecture," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC22] 최지웅, 김보열, 김현, "DDR4 메모리 Command 데이터의 압축률 향상을 위한 전처리 기법," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC21] 이주한, 김태성, 이유학, 김현, "비디오 코딩을 위한 분산에 따른 적응적 Guided Image Filter," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC20] 정우석, 김현, "상향식 HEVC 부호화기를 위한 화면 간 예측모드의 고속 결정," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC19] 김보열, 최지웅, 김현, "FPGA 내부 메모리를 이용한 효율적인 온라인 병합정렬기 구현," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC18] 이효근, 박진우, 김현, "Memory Collision을 방지하는 히스토그램 기반 대비도 향상 알고리즘의 실시간 FPGA 구현," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC17] 김문수, 이효근, 김현, "Write Disturbance Error를 줄이기 위한 효율적인 PRAM Wear-Leveling 알고리즘," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC16] 이승용, 김문수, 이효근, 김현, "PRAM 구조에 적합한 Rejuvenator 구현," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC15] 박진우, 김현, "이미지 처리 하드웨어를 위한 LUT 기반 거듭제곱 함수 구현," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC14] 신우재, 김현, 이혁재, "GPGPUSim과 Hotspot을 이용한 High Bandwidth Memory의 3D 온도 분포 시뮬레이션," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC13] Konstantin Bick, 김현, "CNN 알고리즘을 위한 CPU 기반 캐시 프리패칭 기법," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [DC12] 이상헌, 이동현, 김현, 이규중, "1-D 수평 Convolution Filter를 이용한 Super Resolution용 Streaming 구조 CNN 하드웨어 최적화," 2018년도 대한전자공학회 하계종합학술대회, Jun. 2018.

• [IC19] Duy Thanh Nguyen, Hyun Kim, Hyuk-Jae Lee, and Ik-joon Chang, "An approximate memory architecture for a reduction of refresh power consumption in deep learning applications," IEEE International Symposium on Circuits and Systems (ISCAS 2018), Pages : 1-5, May 2018.

• [IC18] Chulhee Lee, Hyun Kim, and Hyuk-Jae Lee, "Efficient GPU Implementation of a Sparse Affinity Tensor for High-order Graph Matching," 2018 International Conference on Electronics, Information, and Communications (ICEIC 2018), Jan. 2018.

• [IC17] Moonsoo Kim, Jungwoo Choi, Hyun Kim, and Hyuk-Jae Lee, "Exploiting Rowhammer Error Distribution for Reducing DRAM Errors," 2018 International Conference on Electronics, Information, and Communications (ICEIC), Jan. 2018.

2017

• [IC16] Dinh Van Luan, Nguyen Xuan Truong, Hyun Kim, and Hyuk-Jae Lee, "Implementation of the XY2-100 Protocol on Low-Cost Microcontroller," 2017 International SoC Design Conference (ISOCC 2017), Nov. 2017.

• [DC11] 김현, 이혁재, "영상 처리 및 머신 러닝 기반 영상 감시 시스템 개발," 2017년도 대한전자공학회 하계종합학술대회, Jun. 2017. (Invited) (네이버 논문우수상)

• [DC10] 응웬트렁, 딘반루안, 김현, 이혁재, "Two-mirror 광편향 스캐너를 이용한 고해상도 LIDAR 시스템," 2017년도 대한전자공학회 하계종합학술대회, Jun. 2017.

• [IC15] Seung-Hwan Bae, Hyun Kim, and Hyuk-Jae Lee, "Data Layout and AMVP selection for Parallel Integer Motion Estimation in a Processing-in-Memory System," The 32nd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2017), Jul. 2017.

• [IC14] Donghyeon Lee, Ho Seong Lee, Hyun Kim, Jin-Sung Kim, and Hyuk-Jae Lee, "An Evenly Distributed Points based Hand Tracking Method," The 32nd International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2017), Jul. 2017.

• [IC13] Hyun Kim, Hyuk-Jae Lee, and Chae Eun Rhee, "A Low-Power Video Recording System with Multiple Operation Modes for H.264 and Light-Weight Compression," IEEE International Symposium on Circuits and Systems(ISCAS 2017), May 2017.

• [DC9] Duy Thanh Nguyen, Hyun Kim, and Hyuk-Jae Lee, "Hardware platform for functional verification of low power approximate memory architecture design," SoC 학술대회, May 2017.

• [IC12] Hyun Kim, JiWoong Choi, and Hyuk-Jae Lee, "A Low-Power Video Surveillance System with Early Background Decision," 2017 International Conference on Electronics, Information, and Communication (ICEIC 2017), Jan. 2017.

2016

• [IC11] Hyun Kim, Ik Joon Chang, and Hyuk-Jae Lee, "An Adaptive Selection of an SRAM Cell Size for Power Reduction in an H.264/AVC Encoder," IEEE International Conference on Consumer Electronics (ICCE 2016), Jan. 2016.

2015

• [DC8] 김현, 이혁재, "동작 환경을 고려한 저전력 영상 저장 장치의 최적화," 2015년도 대한전자공학회 추계학술대회, Nov. 2015.

• [IC10] Hyun Kim, Chae Eun Rhee, and Hyuk-Jae Lee, "Frame Memory Compression with DWT and SPIHT for an H.264/AVC Encoder," The 30th International Technical Conference On Circuits/Systems, Computers and Communications (ITC-CSCC 2015), Jul. 2015.

2014

• [DC7] 김현, 이주형, 이혁재, "경량 압축 기법의 성능 비교에 관한 연구," 제16회 전자정보통신 학술대회, Dec. 2014.

• [IC9] Hyun Kim, Chae Eun Rhee, and Hyuk-Jae Lee, "A Low-Power Hybrid Video Recording System with H.264/AVC and Light-Weight Compression," 48th Asilomar Conference on Signals, Systems, and Computers (ACSSC 2014), Nov. 2014.

• [DC6] Nguyen Xuan Truong, Hyun Kim, and Hyuk-Jae Lee, "A cost-effective design of a SPIHT-based compression algorithm," 2014년도 대한전자공학회 하계종합학술대회, Jun. 2014.

• [IC8] Hyun Kim, Chae Eun Rhee, and Hyuk-Jae Lee, "A Hardware Design of a Low-power Video Recording System," The 13th International Conference on Electronics, Information, and Communication (ICEIC 2014), Jan. 2014.

2013

• [DC5] 김현, 김경헌, 이혁재, "영상 특징을 고려한 저전력 H.264/AVC 알고리즘 조합의 최적화," 2013년도 대한전자공학회 추계학술대회, Nov. 2013.

• [IC7] Hyun Kim, Chae Eun Lee, and Hyuk-Jae Lee, "A LOW-POWER VIDEO RECORDING SYSTEM WITH H.264/AVC AND LIGHT-WEIGHT COMPRESSION," 2013 IEEE Workshop on Signal Processing Systems (SiPS 2013), Oct. 2013. (Invited)

• [IC6] Hyun Kim, Chae Eun Rhee, and Hyuk-Jae Lee, "Address Generation for Lossless Frame Memory Compression in an H.264/AVC Encoder," IEEE International Conference on Consumer Electronics (ICCE 2013), Jan. 2013.

2012

• [IC5] Chae Eun Rhee, Hyun Kim, and Hyuk-Jae Lee, "An Inter-Frame Macroblock Schedule for Memory Access Reduction in H.264/AVC Bi-directional Prediction," 2012 International SoC Design Conference (ISOCC 2012), Nov. 2012.

• [IC4] Jung-Whan Jang, Hyun Kim, and Hyuk-Jae Lee, "Block-based Marker Controlled Watershed Transform Using Motion Information," The 27th International Technical Conference on Circuits/Systems, Computers and Communication (ITC-CSCC 2012), Jul. 2012.

• [IC3] Deumji Woo, Chae Eun Rhee, Hyun Kim, and Hyuk-Jae Lee, "Zigzag Snake Scan For Efficient Cache Access in H.264 Motion Estimation," 2012 International Conference on Electronics, Information and Communication (ICEIC 2012), Feb. 2012.

2011

• [DC4] 김현, 이채은, 이혁재, "가변 압축률을 적용한 프레임 메모리 압축 효율 향상," 2011년도 대한전자공학회 하계종합학술대회, Jun. 2011.

• [IC2] Hyun Kim, Chae Eun Rhee, Jin-Sung Kim, Sunwoong Kim, and Hyuk-Jae Lee, "Power-Aware Design with Various Low-Power Algorithms for an H.264/AVC Encoder," IEEE International Symposium on Circuits and Systems (ISCAS 2011), May 2011.

2010

• [IC1] Chae Eun Rhee, Hyun Kim, and Hyuk-Jae Lee, "Early Direct Mode Decision for a Hardware-Based H.264/AVC Encoder," 2010 International Conference on Electronics, Information and Communication (ICEIC 2010), Jul. 2010.

• [DC3] 김현, 이채은, 이혁재, "저전력 H.264/AVC 인코더를 위한 조기 스킵 모드 결정," 2010년도 대한전자공학회 하계종합학술대회, Jun. 2010.

• [DC2] 김덕수, 이효준, 윤용호, 이채은, 김현, 이혁재, "슬라이스 타입과 제어 흐름 정보를 이용한 H.264/AVC 인코더의 클럭 게이팅," 2010년도 대한전자공학회 하계종합학술대회, Jun. 2010.

• [DC1] 이효준, 윤용호, 김현, 이채은, 이혁재, "하드웨어 기반 H.264/AVC 부호기의 인트라 예측 스킵 알고리즘," 2010년도 대한전자공학회 하계종합학술대회, Jun. 2010.

Patent

• [DP23] 김현, 이승일, "딥러닝 네트워크의 불확실도 판단방법," 한국, 서울과학기술대학교 산학협력단, 10-2020-0189754, 2024년 2월 16일(등록, 10-2639179).

• [DP22] 김현, 홍현석, "입력 특징맵에 대하여 타일 단위로 합성곱 연산을 병렬로 수행하는 전자 장치 및 그 동작 방법," 한국, 서울과학기술대학교 산학협력단, 10-2024-0010911, 2024년 1월 24일(출원).

• [DP21] 김현, 홍현석, "지식증류(knowledge distillation) 기반 미세 조정을 통한 CNN(convolution neural network) 모델을 경량화하는 전자 장치 및 그 동작 방법," 한국, 서울과학기술대학교 산학협력단, 10-2024-0009509, 2024년 1월 22일(출원).

• [DP20] 김현, 장지훈, "비휘발성 메모리를 이용하여 심층신경망용 프리패처 알고리즘을 수행하기 위한 전자 장치 및 그 구동 방법," 한국, 서울과학기술대학교 산학협력단, 10-2024-0006172, 2024년 1월 15일(출원).

• [DP19] 김현, 신진, "개선된 STEM 계층을 통한 도메인 적응성 강화 방법 및 이를 수행하는 장치," 한국, 서울과학기술대학교 산학협력단, 10-2023-0183442, 2023년 12월 15일(출원).

• [DP18] 김현, 신진, 이종호, "데이터 프레임에 대한 저지연 경량화 압축을 수행하는 전자 장치 및 그 동작 방법," 한국, 서울과학기술대학교 산학협력단, 10-2023-0081681, 2023년 06월 26일(출원).

• [DP17] 김현, 기수빈, 박준태, "단방향 쉬프트 연산 기반의 MAC 연산기," 한국, 서울과학기술대학교 산학협력단, 10-2023-0074813, 2023년 06월 12일(출원).

• [IP8] Hyun Kim, Jong Ho Lee, “ELECTRONIC DEVICE FOR PERFORMING TOKEN PRUNING IN FREQUENCY DOMAIN AND METHOD FOR OPERATION THEREOF,” 미국, 서울과학기술대학교 산학협력단, 18/166828, 2023년 2월 9일(출원).

• [IP7] Hyun Kim, Ji Hoon Jang, “ELECTRONIC DEVICE FOR PERFORMING PREFETCHER ALGORITHM SUITABLE FOR NEURAL NETWORK MODEL USING PHASE CHANGE MEMORY AND METHOD FOR OPERATION THEREOF,” PCT, 서울과학기술대학교 산학협력단, PCT/KR2023/000841, 2023년 1월 18일(출원).

• [IP6] Hyun Kim, Seung Il Lee, “ELECTRONIC DEVICE FOR PROCESSING LEARNING DATA IN NEURAL NETWORK MODEL USING UNCERTAINTY VALUE AND METHOD FOR OPERATION THEREOF,” PCT, 서울과학기술대학교 산학협력단, PCT/KR2023/000832, 2023년 1월 18일(출원).

• [DP16] 김현, 최지웅, 김보열, 이혁재, 이준서, 곽창민, 송영두, "고속으로 데이터를 인코딩하는 장치" 한국, 서울대학교 산학협력단, 10-2018-0013719, 2023년 1월 9일(등록, 10-2488129).

• [DP15] 김현, 장지훈, "상변화 메모리를 이용하여 신경망 모델에 적합한 프리패처 알고리즘을 수행하는 전자 장치 및 그 동작 방법," 한국, 서울과학기술대학교 산학협력단, 10-2022-0184810, 2022년 12월 26일(출원).

• [DP14] 김현, 구광현, "신경망 모델에 대한 커널 프루닝을 수행하는 전자 장치 및 그 동작 방법," 한국, 서울과학기술대학교 산학협력단, 10-2022-0184809, 2022년 12월 26일(출원).

• [DP13] 김현, 이승일, "불확실성 값을 이용하여 신경망 모델 내의 학습 데이터를 처리하기 위한 전자 장치 및 그 동작 방법," 한국, 서울과학기술대학교 산학협력단, 10-2022-0184328, 2022년 12월 26일(출원).

• [DP12] 김현, 이종호, "주파수 도메인에서의 토큰 프루닝을 수행하는 전자 장치 및 그 동작 방법," 한국, 서울과학기술대학교 산학협력단, 10-2022-0184327, 2022년 12월 26일(출원).

• [DP11] 김현, 최다훈, "향상된 로그 양자화 기법을 이용하여 신경망 모델을 훈련시키기 위한 전자 장치 및 그 동작 방법," 한국, 서울과학기술대학교 산학협력단, 10-2022-0179440, 2022년 12월 20일(출원).

• [DP10] 김현, 이효근, 이승용, 이혁재, "쓰기 간섭 문제를 완화하는 상변화 메모리 모듈," 한국, 서울과학기술대학교 산학협력단&서울대학교 산학협력단, 10-2021-0042919, 2022년 11월 30일(등록, 10-2474288).

• [IP5] Hyun Kim, Hyokeun Lee, Seungyong Lee, Hyuk-Jae Lee, “MITIGATING WRITE DISTURBANCE ERRORS OF PHASE-CHANGE MEMORY MODULE,” 미국, 서울과학기술대학교 산학협력단, 17/371872, 2022년 10월 4일(등록, US11462266B1).

• [DP9] 김현, 김남준, "딥러닝 네트워크의 필터 프루닝 방법," 한국, 서울과학기술대학교 산학협력단, 10-2020-0189752, 2022년 8월 12일(등록, 10-2433840).

• [DP8] 김현, 이정준, "희소성 학습에 기반한 심층 신경망의 지속적인 학습 방법," 한국, 서울과학기술대학교 산학협력단, 10-2021-0187387, 2021년 12월 24일(출원).

• [DP7] 김현, 배승환, 이혁재, "합성곱 신경망을 위한 부동소수점 압축이 포함된 캐시," 한국, 서울과학기술대학교 산학협력단, 10-2021-0170626, 2021년 12월 2일(출원).

• [IP4] Hyun Kim, Nam Joon Kim, “FILTER PRUNING METHODS FOR DEEP NEURAL NETWORKS BASED ON SPARSITY TRAINING,” PCT, 서울과학기술대학교 산학협력단, PCT/KR2021/017227, 2021년 11월 23일(출원).

• [DP6] 김현, 김남준, "심층신경망을 위한 희소성 학습 기반 필터 프루닝 기법," 한국, 서울과학기술대학교 산학협력단, 10-2021-0160472, 2021년 11월 19일(출원).

• [IP3] Hyun Kim, Hyokeun Lee, Moonsoo Kim, Hyuk-Jae Lee, "SEMICONDUCTOR MEMORY DEVICE PERFORMING COMMAND MERGE OPERATION AND OPERATION METHOD THEREOF," 미국, 서울대학교 산학협력단, 16/664248, 2021년 7월 6일(등록, US11055025B2).

• [DP5] 김현, 이종호, 주혜린, 이재인, 송이삭, "무인 결제 시스템," 한국, 서울과학기술대학교 산학협력단, 10-2021-0026699, 2021년 2월 26일(출원).

• [IP2] Hyun Kim, Duy Thanh Nguyen, Boyeal Kim, Ik-joon Chang, Hyuk-Jae Lee, "APPROXIMATE MEMORY ARCHITECTURE AND DATA PROCESSING APPARATUS HAVING THE SAME," 미국, 서울대학교 산학협력단, 16/539313, 2021년 2월 9일(등록, US10916291B2).

• [DP4] 김현, 김성래, "딥러닝 네트워크의 양자화 방법," 한국, 서울과학기술대학교 산학협력단, 10-2020-0189753, 2020년 12월 31일(출원).

• [IP1] Hyun Kim, Jiwoong Choi, Boyeal Kim, Hyuk Jae Lee, Junseo Lee, Changmin Kwak, Youngdoo Song, "DATA ENCODER AND DATA ENCODING METHOD," 미국, 서울대학교 산학협력단, 16/181774, 2019년 12월 3일(등록, US10498358B2).

• [DP3] 김현, Duy Thanh Nguyen, 김보열, 장익준, 이혁재, "근사적 메모리 아키텍처 및 그를 이용하는 데이터 처리장치," 한국, 서울대학교 산학협력단, 10-2019-0062777, 2019년 5월 28일(출원).

• [DP2] 김현, 노승문, 이혁재, "DWT 계수를 적용한 SPIHT 알고리즘 및 그 알고리즘을 이용하는 데이터 처리 장치," 한국, 서울대학교 산학협력단, 10-2019-0051584, 2019년 5월 2일(출원).

• [DP1] 김현, 이효근, 김문수, 이혁재, "명령 머지 동작을 수행하는 반도체 메모리 장치 및 그 동작 방법," 한국, 서울대학교 산학협력단, 10-2019-0049768, 2019년 4월 29일(출원).

Book

• [B1] Hyuk-Jae Lee, Hyun Kim, and Chae Eun Rhee, "Chapter 5. E-R-D Optimization in Video Compression," "Theory and Applications of Smart Cameras" by Springer, pp. 88-114, Jul. 2015.

Invited Talk

• [T31] Hyun Kim, "System Semiconductor R&D Items - Mobile/Home Appliances," 시스템반도체 R&D 유망 과제(아이템) 발굴 공청회, 24 November 2022.

• [T30] Hyun Kim, "Digital Systems Design of AI Accelerators for Mobile Devices," 2022년도 인공지능 반도체 융합전문인력 양성센터 하계캠프, 3 August 2022.

• [T29] Hyun Kim, "Design of Optimal AI Accelerator Platforms for Mobile Devices," Expert Invited Talk in Incheon National University, 02 June 2022.

• [T28] Hyun Kim, "Design of Mobile AI Accelerator Platforms," Expert Invited Talk in University of Seoul, 13 April 2022.

• [T27] Hyun Kim, "Towards Optimal Mobile AI Accelerator Platforms," Expert Invited Talk in Seokyeong Univ., 16 November 2021.

• [T26] Hyun Kim, "Towards Smarter AI Platforms: Design of Self-Learnable Mobile AI Accelerator Platforms for Autonomous Driving," Technical Lecture of Institute of Korean Electrical and Electronics Engineers, 15 October 2021.

• [T25] Hyun Kim, "Implementation of Optimal CNN Accelerators for Mobile Devices: Algorithm, Architecture, and Memory System Co-Design," Special Session of 18th International SoC Design Conference (ISOCC 2021), 8 October 2021.

• [T24] Hyun Kim, "Overview of Mobile AI Accelerators," CENTRA5, 15 September 2021.

• [T23] Hyun Kim, "Implementation of Self-Learnable Mobile AI Accelerator Platforms for Autonomous Driving," Emerging Technology in Electrical and Computer engineering Talks (e-TEC Talks) at Seoul National University Summer 2021, 19 August 2021.

• [T22] Hyun Kim, "Digital Systems Design of AI Semiconductors for Mobile Devices," 2021년도 인공지능 반도체 융합전문인력 양성센터 하계캠프, 18 August 2021.

• [T21] Hyun Kim, "Digital Systems Design of AI Semiconductor," 한양대학교 IDEC 교육, 20 July 2021.

• [T20] Hyun Kim, "Co-designing Architectures, Algorithms, and Memory Systems for Mobile AI Accelerators," 2021년도 SoC 워크샵 및 산학교류회, 08 July 2021.

• [T19] Hyun Kim, "Implementation of Dedicated Mobile AI Accelerators Based on Architecture, Algorithm, and Memory System Co-Design," 아주대학교 초청 세미나, 10 June 2021.

• [T18] Hyun Kim, "모바일 AI 반도체 개요/필요성 및 연구 기술개발 동향," 산업교육연구소 2021년 시스템반도체 3대 전략분야 기술개발과 경쟁력 및 시장분석 세미나 -전력반도체/차세대센서/AI반도체-, 29 April 2021.

• [T17] Hyun Kim, "Co-designing Architectures, Algorithms, and Memory Systems for AI Accelerators," 선문대학교 4차산업혁명 혁신선도대학 사업단 세미나, 08 February 2021.

• [T16] Hyun Kim, "Implementation of Dedicated Hardware Accelerator for Convolutional Neural Networks Based on Architecture, Algorithm and Memory System Co-Design," 전북대학교 IT융합연구센터 세미나, 27 January 2021.

• [T15] Hyun Kim, "Co-designing Architectures, Algorithms, and Memory Systems for Deep Learning Hardware Accelerators," 제 28회 한국 반도체 학술대회, 25 January 2021.

• [T14] Hyun Kim, "인공지능 반도체 최적화 및 응용," 한양대학교 IDEC 교육, 21 September 2020.

• [T13] Hyun Kim, "딥러닝 가속기 설계 및 응용," 2020년도 인공지능 반도체 융합전문인력 양성센터 하계캠프, 27 August 2020.

• [T12] Hyun Kim, "딥러닝 구조 설계 및 응용: 딥러닝 가속기 설계 및 응용," 한국전기전자학회 하계 워크샵, 22 July 2020.

• [T11] Hyun Kim, "딥러닝 기초 및 가속기 설계: Accelerator & Memory Design for DNN and Its Application," 광운대학교 IDEC 교육, 14 July 2020.

• [T10] Hyun Kim, "Camera-based Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving," 서울대학교 반도체공동연구소 공동세미나, 28 November 2019.

• [T9] Hyun Kim, "딥러닝 가속기 SoC설계: 자율주행을 위한 딥러닝 하드웨어 가속기 설계," 광운대학교 IDEC 교육, 17 July 2019.

• [T8] Hyun Kim, "AI Accelerator design & lab," 한양대학교 IDEC 교육, 8 April 2019.

• [T7] Hyun Kim, "자율주행용 딥러닝 기반 영상처리 기술," 시스템반도체 기술교류회, 18 December 2018.

• [T6] Hyun Kim, "Efficient Memory Design for Deep Neural Network and Its Application," 2nd expert invited talk in Seokyeong Univ., 4 December 2018.

• [T5] Hyun Kim, "Hardware IP / SoC Design for Deep Neural Network and Its Application," 1st expert invited talk in Seokyeong Univ., 27 November 2018.

• [T4] Hyun Kim, "Hardware IP / SoC Designs for Autonomous Driving based on Deep Neural Networks," 1st Semiconductor Industry-Academia Workshop, 24 October 2018.

• [T3] Hyun Kim, "Hardware IP / SoC Designs for Low-Complexity Multimedia Processing and Its Application Systems," Hyundai Motors Open R&D Seminar, 25 July 2018.

• [T2] Hyun Kim, "Low power memory architecture for deep learning hardware based on approximation and compression," 2017 IEIE Autumn Annual Conference, 24 November 2017.

• [T1] Hyun Kim, "Implementation of Image Processing and Machine Learning based Video Surveillance System," 2017 IEIE Summer Conference, 30 June 2017.

Thesis

• Hyeon Seok Hong, "Implementation of Lightweight Convolutional Neural Network Accelerators with Knowledge Distillation-based Performance Improvement Techniques," M.S. Thesis, Seoul National University of Science and Technology, Feb. 2024.

• Jong Ho Lee, "Vision Transformer Performance Improvement and Pruning Techniques using Discrete Cosine Transform," M.S. Thesis, Seoul National University of Science and Technology, Feb. 2023.

• Juntae Park, "A High-Throughput and Scalable Convolutional Neural Network Accelerator through Skip Connection Optimization," M.S. Thesis, Seoul National University of Science and Technology, Feb. 2023.

• Ji Hoon Jang, "PCM-based Low-power Memory System for Convolutional Neural Network Inference," M.S. Thesis, Seoul National University of Science and Technology, Feb. 2023.

• Jeong Jun Lee, "Design of a Multi-step Training Framework for Deep Convolutional Neural Networks Capable of Continual Learning," M.S. Thesis, Seoul National University of Science and Technology, Feb. 2023.

• Dahun Choi, "Hardware-Friendly Logarithmic Quantization for Deep Convolutional Neural Networks," M.S. Thesis, Seoul National University of Science and Technology, Aug. 2022.

• Subin Ki, "High-Throughput Streaming Hardware Accelerator Design for CNN-Based Object Detectors," M.S. Thesis, Seoul National University of Science and Technology, Aug. 2022.

• Kwanghyun Koo, "Layer Sensitivity Estimation-based Adaptive Kernel Pruning for Deep Neural Networks," M.S. Thesis, Seoul National University of Science and Technology, Feb. 2022.

• Nam Joon Kim, "Loss-Aware Channel Pruning for Accelerating Deep Convolutional Neural Networks," M.S. Thesis, Seoul National University of Science and Technology, Aug. 2021.

• Jin Shin, "Optimization of Compression Efficiency for 1-D DWT-SPIHT using Reinforcement Learning," M.S. Thesis, Seoul National University of Science and Technology, Aug. 2021.

• Sungrae Kim, "Hardware-Friendly Fixed-Point Quantization for Deep Convolutional Neural Networks," M.S. Thesis, Seoul National University of Science and Technology, Feb. 2021.

• Seung Il Lee, "Uncertainty-aware Instance Segmentation based on Gaussian Modeling," M.S. Thesis, Seoul National University of Science and Technology, Feb. 2021.

• Hyun Kim, "H.264-based Low Power Heterogeneous Video Recording System," Ph.D. Dissertation, Seoul National University, Feb. 2015.

• Hyun Kim, "Power-Aware Design with Various Low-Power Algorithms for an H.264/AVC Encoder," M.S. Thesis, Seoul National University, Feb. 2011.

---

Copyright (C) 2018-2022, Intelligent Digital Systems Design Lab. All rights reserved.