Hyun Kim - RankMe

122 papers A* 4A 4B 4C 12Misc 1Journal 50Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating language giants: A survey of optimization strategies for LLM inference on hardware platforms. J. Syst. Archit. Young Chan Kim, Seok Kyu Yoon, Soohee Han, Chae Won Park, Jun Oh Park, Jun Ha Ko, Hyun Kim
2026	J	`jnl`	SPEED: Structured kernel block pruning with filter groups for efficient and elastic SW-HW co-design in FPGA-based CNN accelerators. Neurocomputing Kwanghyun Koo, Sunwoong Kim, Hyun Kim
2026	J	`jnl`	Towards efficient language giants: A comprehensive survey on structural optimizations and compression techniques for large language models. Neural Networks Gilhyeon Lee, Seonggeun Kim, Dongjun Lee, Kyungmin Goh, Hyun Kim
2025	—	`conf`	Evaluation of 2T0C DRAM-Based Processing-in-Memory Systems for Accelerating Deep Neural Network Models. ICEIC Jihoon Jang, Inseong Hwang, Hyun Kim
2025	J	`jnl`	FAB: FPGA-Accelerated Fully-Pipelined Bottleneck Architecture With Batching for High-Performance MobileNetv2 Inference. IEEE Trans. Circuits Syst. I Regul. Pap. Young Chan Kim, Nam Joon Kim, Hyun Kim
2025	C	`conf`	Feature Alignment in Vision Mamba to Resolve Domain Shift of Mobile Medical Devices. ICCE Jin Shin, Hyun Kim
2025	—	`conf`	GASQ: Hardware-Friendly Gradient Distribution-Aware Split Quantization for Low-Bit CNN Training. ICEIC Sangbeom Jeong, Kwanghyun Koo, Hyun Kim
2025	A*	`conf`	GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers. AAAI Dahun Choi, Hyun Kim
2025	C	`conf`	Hardware-Friendly Quantization via Outlier Scaling in Convolution-Attention-Based Hybrid Networks. ICCE Nam Joon Kim, Hyun Kim
2025	B	`conf`	HyDRASim: A Versatile and Cycle-Accurate Simulator for Hybrid DRAM PIM-CPU Systems. MASCOTS Jihoon Jang, Inseong Hwang, Hyun Kim
2025	—	`conf`	LAMP-Q: Layer Sensitivity-Aware Mixed-Precision Quantization for MobileNetV3. ICEIC Seokkyu Yoon, Namjoon Kim, Hyun Kim
2025	A*	`conf`	LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers. ICML Beom Jin Kang, Nam Joon Kim, Hyun Kim
2025	J	`jnl`	Lightweight Deepfake Detection Based on Multi-Feature Fusion. CoRR Siddiqui Muhammad Yasir, Hyun Kim
2025	A	`conf`	LowGradQ: Adaptive Gradient Quantization for Low-Bit CNN Training via Kernel Density Estimation-Guided Thresholding and Hardware-Efficient Stochastic Rounding Unit. DATE Sangbeom Jeong, SeungIl Lee, Hyun Kim
2025	J	`jnl`	MCM-SR: Multiple Constant Multiplication-Based CNN Streaming Hardware Architecture for Super-Resolution. IEEE Trans. Very Large Scale Integr. Syst. Seung-Hwan Bae, Hyuk-Jae Lee, Hyun Kim
2025	J	`jnl`	NPC: A Non-Conflicting Processing-in-Memory Controller in DDR Memory Systems. IEEE Trans. Computers Seungyong Lee, Sanghyun Lee, Minseok Seo, Chunmyung Park, Woojae Shin, Hyuk-Jae Lee, Hyun Kim
2025	—	`conf`	Optimizing Deep Neural Network Precision for Processing-in-Memory: A Memory Bottleneck Perspective. ICEIC Inseong Hwang, Jihoon Jang, Hyun Kim
2025	B	`conf`	PIM-BEACON: A Benchmarking and Emulation Framework Supporting Adaptive CONfigurations in DRAM-Based Processing-in-Memory Systems. ISPASS Inseong Hwang, Jihoon Jang, Chaewon Park, Hyun Kim
2025	C	`conf`	PriME: PIM-Aware Efficient Compression for Memory-Bound Embedding Layers in sLLMs. ICCD Junghyeok Lee, Jihoon Jang, Hyun Kim
2025	J	`jnl`	Survey of CPU and memory simulators in computer architecture: A comprehensive analysis including compiler integration and emerging technology applications. Simul. Model. Pract. Theory Inseong Hwang, Junghyeok Lee, Huibeom Kang, Gilhyeon Lee, Hyun Kim
2025	A	`conf`	TETRIS: On-Device Trainable Energy-Efficient FPGA Accelerator for Trustworthy and Real-Time Instance Segmentation. ICCAD SeungIl Lee, Juntae Park, Kwanghyun Koo, Gilha Lee, Sangbeom Jeong, JunOh Park, Hyun Kim
2025	J	`jnl`	VFF-Net: Evolving forward-forward algorithms into convolutional neural networks for enhanced computational insights. Neural Networks Gilha Lee, Jin Shin, Hyun Kim
2025	J	`jnl`	VFT: A versatile fine-tuning scheme based on feature distribution-aware knowledge distillation for lightweight convolutional neural networks. Eng. Appl. Artif. Intell. Hyeonseok Hong, Hyun Kim
2025	C	`conf`	XNC: XOR and NOT-Based Lossless Compression for Optimizing Unquantized Embedding Layers in Large Language Models. ISCAS Junghyeok Lee, Jihoon Jang, Hyun Kim
2024	—	`conf`	A Simplified Feature Alignment Strategy for Image Classification Across Domains. ICEIC Jin Shin, Hyun Kim
2024	J	`jnl`	A survey of FPGA and ASIC designs for transformer inference acceleration and optimization. J. Syst. Archit. Beom Jin Kang, Haein Lee, Seok Kyu Yoon, Young Chan Kim, Sangbeom Jeong, Seong Jun O, Hyun Kim
2024	—	`conf`	ACC: Adaptive Compression Framework for Efficient On-device CNN Training. AICAS Gilha Lee, SeungIl Lee, Hyun Kim
2024	C	`conf`	ARC: Adaptive Rounding and Clipping Considering Gradient Distribution for Deep Convolutional Neural Network Training. ISCAS Dahun Choi, Hyun Kim
2024	—	`conf`	An Architecture-Level Framework for Enabling Processing-Using-Memory Simulations in Deep Neural Networks. ICEIC Inseong Hwang, Jihoon Jang, Hyun Kim
2024	J	`jnl`	DCT-ViT: High-Frequency Pruned Vision Transformer With Discrete Cosine Transform. IEEE Access Jongho Lee, Hyun Kim
2024	A	`conf`	EDeN: Enabling Low-Power CNN Inference on Edge Devices Using Prefetcher-assisted NVM Systems. ISLPED Jihoon Jang, Hyokeun Lee, Hyun Kim
2024	—	`conf`	Enhancing Pseudo-Labeling Performance in Object Detection Using Gaussian Mixture Modeled Uncertainty. ICEIC SeungIl Lee, Hyun Kim
2024	—	`conf`	Extreme Pruning Technique Based on Filter Deactivation Using Sparsity Training for Deep Convolutional Neural Networks. ICEIC Kwanghyun Koo, Hyun Kim
2024	—	`conf`	FB-SKP: Front-Back Structured Kernel Pruning via Group Convolution without Increasing Memory. ISOCC Kwanghyun Koo, Hyun Kim
2024	—	`conf`	GDS: Gradient Distribution Scaling-based Gradient Quantization for Low-complexity and Hardware-friendly Training of Instance Segmentation Models. ICEIC Dahun Choi, Hyun Kim
2024	J	`jnl`	HLQ: Hardware-Friendly Logarithmic Quantization Aware Training for Power-Efficient Low-Precision CNN Models. IEEE Access Dahun Choi, Juntae Park, Hyun Kim
2024	—	`conf`	Hardware-aware Network Compression for Hybrid Vision Transformer via Low-Rank Approximation. ISOCC Beom Jin Kang, Nam Joon Kim, Hyun Kim
2024	A*	`conf`	HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks. IJCAI Nam Joon Kim, Jongho Lee, Hyun Kim
2024	—	`conf`	Implementation of Tiled Point-Wise Convolution in MobileNet for Parallel Processing. ICEIC Hyeon Seok Hong, Hyun Kim
2024	—	`conf`	Mixed Precision Quantization with Hardware-Friendly Activation Functions for Hybrid ViT Models. ICEIC Beom Jin Kang, Dahun Choi, Hyun Kim
2024	J	`jnl`	Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution. IEEE Trans. Circuits Syst. II Express Briefs Hyeonseok Hong, Dahun Choi, Namjoon Kim, Hyun Kim
2024	—	`conf`	PF-Training: Parameter Freezing for Efficient On-Device Training of CNN-based Object Detectors in Low-Resource Environments. AICAS Dayoung Chun, Hyuk-Jae Lee, Hyun Kim
2024	—	`conf`	SRU-Q: Hardware-friendly Stochastic Rounding Unit-based Gradient Quantization for CNN Training. AICAS Sangbeom Jeong, Dahun Choi, Hyun Kim
2024	—	`conf`	Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition. ABC Parham Zolfaghari, Vítor Fortes Rey, Lala Shakti Swarup Ray, Hyun Kim, Sungho Suh, Paul Lukowicz
2024	J	`jnl`	Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition. CoRR Parham Zolfaghari, Vítor Fortes Rey, Lala Shakti Swarup Ray, Hyun Kim, Sungho Suh, Paul Lukowicz
2024	J	`jnl`	Survey of convolutional neural network accelerators on field-programmable gate array platforms: architectures and optimization techniques. J. Real Time Image Process. Hyeonseok Hong, Dahun Choi, Namjoon Kim, Haein Lee, Beom Jin Kang, Huibeom Kang, Hyun Kim
2024	J	`jnl`	Trunk Pruning: Highly Compatible Channel Pruning for Convolutional Neural Networks Without Fine-Tuning. IEEE Trans. Multim. Nam Joon Kim, Hyun Kim
2024	J	`jnl`	USD: Uncertainty-Based One-Phase Learning to Enhance Pseudo-Label Reliability for Semi-Supervised Object Detection. IEEE Trans. Multim. Dayoung Chun, SeungIl Lee, Hyun Kim
2024	J	`jnl`	Vision transformer models for mobile/edge devices: a survey. Multim. Syst. Seung Il Lee, Kwanghyun Koo, Jong Ho Lee, Gilha Lee, Sangbeom Jeong, Seongjun O, Hyun Kim
2023	—	`conf`	A Spatio-Temporal Switchable Data Prefetcher for Convolutional Neural Networks. ISOCC Jihoon Jang, Hyun Kim, Hyokeun Lee
2023	—	`conf`	AGT: Channel Pruning Using Adaptive Gradient Training for Accelerating Convolutional Neural Networks. ICEIC Nam Joon Kim, Hyun Kim
2023	J	`jnl`	An In-Module Disturbance Barrier for Mitigating Write Disturbance in Phase-Change Memory. IEEE Trans. Computers Hyokeun Lee, Seungyong Lee, Byeongki Song, Moonsoo Kim, Seokbo Shim, Hyuk-Jae Lee, Hyun Kim
2023	J	`jnl`	CP-CNN: Computational Parallelization of CNN-Based Object Detectors in Heterogeneous Embedded Systems for Autonomous Driving. IEEE Access Dayoung Chun, Jiwoong Choi, Hyuk-Jae Lee, Hyun Kim
2023	—	`conf`	Characterizing Memory Access Patterns of Various Convolutional Neural Networks for Utilizing Processing-in-Memory. ICEIC Jihoon Jang, Hyun Kim, Hyokeun Lee
2023	—	`conf`	DWT+DWT: Deep Learning Domain Generalization Techniques Using Discrete Wavelet Transform with Deep Whitening Transform. ICEIC Jin Shin, Hyun Kim
2023	J	`jnl`	Dedicated FPGA Implementation of the Gaussian TinyYOLOv3 Accelerator. IEEE Trans. Circuits Syst. II Express Briefs Subin Ki, Juntae Park, Hyun Kim
2023	J	`jnl`	FP-AGL: Filter Pruning With Adaptive Gradient Learning for Accelerating Deep Convolutional Neural Networks. IEEE Trans. Multim. Nam Joon Kim, Hyun Kim
2023	—	`conf`	FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. ASAP Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz
2023	J	`jnl`	FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. CoRR Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz
2023	—	`conf`	GPIL: Gradient with PseudoInverse Learning for High Accuracy Fine-Tuning. AICAS Gilha Lee, Nam Joon Kim, Hyun Kim
2023	—	`conf`	Hardware-friendly Activation Functions for HybridViT Models. ISOCC Beom Jin Kang, Nam Joon Kim, Jong Ho Lee, Hyun Kim
2023	J	`jnl`	Multi-Step Training Framework Using Sparsity Training for Efficient Utilization of Accumulated New Data in Convolutional Neural Networks. IEEE Access Jeongjun Lee, Hyun Kim
2023	—	`conf`	PPT-KP: Pruning Point Training-based Kernel Pruning for Deep Convolutional Neural Networks. AICAS Kwanghyun Koo, Hyun Kim
2023	C	`conf`	RepSGD: Channel Pruning Using Reparamerization for Accelerating Convolutional Neural Networks. ISCAS Nam Joon Kim, Hyun Kim
2023	—	`conf`	UCR-SSL: Uncertainty-Based Consistency Regularization for Semi-Supervised Learning. ICEIC SeungIl Lee, Hyun Kim, Dayoung Chun
2023	J	`jnl`	V-SKP: Vectorized Kernel-Based Structured Kernel Pruning for Accelerating Deep Convolutional Neural Networks. IEEE Access Kwanghyun Koo, Hyun Kim
2022	—	`conf`	Activation Distribution-based Layer-wise Quantization for Convolutional Neural Networks. ICEIC Subin Ki, Hyun Kim
2022	—	`conf`	DC-MPQ: Distributional Clipping-based Mixed-Precision Quantization for Convolutional Neural Networks. AICAS Seungjin Lee, Hyun Kim
2022	—	`conf`	Feature Distribution-based Knowledge Distillation for Deep Neural Networks. ISOCC Hyeonseok Hong, Hyun Kim
2022	—	`conf`	Fine-tuned SPIHT Algorithm to Improve Compression Efficiency. ICEIC Jin Shin, Hyun Kim
2022	B	`conf`	GaussianMask: Uncertainty-aware Instance Segmentation based on Gaussian Modeling. ICPR Seung Il Lee, Hyun Kim
2022	—	`conf`	Hardware-Friendly Logarithmic Quantization with Mixed-Precision for MobileNetV2. AICAS Dahun Choi, Hyun Kim
2022	B	`conf`	PCMCsim: An Accurate Phase-Change Memory Controller Simulator and its Performance Analysis. ISPASS Hyokeun Lee, Hyungsuk Kim, Seokbo Shim, Seungyong Lee, Do-sun Hong, Hyuk-Jae Lee, Hyun Kim
2022	—	`conf`	Performance Analysis of a Phase-Change Memory System on Various CNN Inference Workloads. ISOCC Jihoon Jang, Hyun Kim, Hyokeun Lee
2022	—	`conf`	Power-Efficient Double-Cyclic Low-Precision Training for Convolutional Neural Networks. AICAS Sungrae Kim, Hyun Kim
2022	J	`jnl`	Review of Optimal Convolutional Neural Network Accelerator Platforms for Mobile Devices. J. Comput. Sci. Eng. Hyun Kim
2022	J	`jnl`	WL-WD: Wear-Leveling Solution to Mitigate Write Disturbance Errors for Phase-Change Memory. IEEE Access Moonsoo Kim, Hyokeun Lee, Hyun Kim, Hyuk-Jae Lee
2021	J	`jnl`	CNN-Based Mask-Pose Fusion for Detecting Specific Persons on Heterogeneous Embedded Systems. IEEE Access Jeongjun Lee, Jihoon Jang, Jinhong Lee, Dayoung Chun, Hyun Kim
2021	C	`conf`	Cache Compression with Golomb-Rice Code and Quantization for Convolutional Neural Networks. ISCAS Seung-Hwan Bae, Hyuk-Jae Lee, Hyun Kim
2021	—	`conf`	Continual Learning for Instance Segmentation to Mitigate Catastrophic Forgetting. ISOCC Jeong Jun Lee, Seung Il Lee, Hyun Kim
2021	C	`conf`	DC-AC: Deep Correlation-Based Adaptive Compression of Feature Map Planes in Convolutional Neural Networks. ISCAS Seung-Hwan Bae, Hyuk-Jae Lee, Hyun Kim
2021	—	`conf`	Hardware-friendly Log-scale Quantization for CNNs with Activation Functions Containing Negative Values. ISOCC Dahun Choi, Hyun Kim
2021	—	`conf`	Implementation of Optimal CNN Accelerators for Mobile Devices: Algorithm, Architecture, and Memory System Co-Design. ISOCC Hyun Kim
2021	J	`jnl`	Layer-Specific Optimization for Mixed Data Flow With Mixed Precision in FPGA Design for CNN-Based Object Detectors. IEEE Trans. Circuits Syst. Video Technol. Duy Thanh Nguyen, Hyun Kim, Hyuk-Jae Lee
2021	J	`jnl`	RL-SPIHT: Reinforcement Learning-Based Adaptive Selection of Compression Ratios for 1-D SPIHT Algorithm. IEEE Access Jin Shin, Hyun Kim
2021	J	`jnl`	Zero-Centered Fixed-Point Quantization With Iterative Retraining for Deep Convolutional Neural Network-Based Object Detectors. IEEE Access Sungrae Kim, Hyun Kim
2020	J	`jnl`	A Low-Cost and High-Throughput FPGA Implementation of the Retinex Algorithm for Real-Time Video Enhancement. IEEE Trans. Very Large Scale Integr. Syst. Jin Woo Park, Hyokeun Lee, Boyeal Kim, Dong-Goo Kang, Seung Oh Jin, Hyun Kim, Hyuk-Jae Lee
2020	J	`jnl`	An Approximate Memory Architecture for Energy Saving in Deep Learning Applications. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. Duy Thanh Nguyen, Huy Hung Nguyen, Hyun Kim, Hyuk-Jae Lee
2020	J	`jnl`	An Efficient Sampling Algorithm With a K-NN Expanding Operator for Depth Data Acquisition in a LiDAR System. IEEE Trans. Circuits Syst. Video Technol. Xuan Truong Nguyen, Hyun Kim, Hyuk-Jae Lee
2020	—	`conf`	An MAE-aware ROI Sampling Model for LiDAR. ISOCC Quan-Dung Pham, Xuan Truong Nguyen, Hyuk-Jae Lee, Hyun Kim
2020	—	`conf`	Instant and Accurate Instance Segmentation Equipped with Path Aggregation and Attention Gate. ISOCC Seung Il Lee, Hyun Kim
2020	J	`jnl`	Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors. CoRR Duy Thanh Nguyen, Hyun Kim, Hyuk-Jae Lee
2020	—	`conf`	Mask-Soft Filter Pruning for Lightweight CNN Inference. ISOCC Nam Joon Kim, Hyun Kim
2020	J	`jnl`	Mitigating Write Disturbance Errors of Phase-Change Memory as In-Module Approach. CoRR Hyokeun Lee, Seungyong Lee, Byeongki Song, Moonsoo Kim, Seokbo Shim, Hyun Kim, Hyuk-Jae Lee
2020	—	`conf`	Mixture of Deterministic and Stochastic Quantization Schemes for Lightweight CNN. ISOCC Sungrae Kim, Hyun Kim
2020	A	`conf`	PCM: Precision-Controlled Memory System for Energy Efficient Deep Neural Network Training. DATE Boyeal Kim, Sang Hyun Lee, Hyun Kim, Duy Thanh Nguyen, Minh-Son Le, Ik Joon Chang, Dohun Kwon, Jin Hyeok Yoo, Jun Won Choi, Hyuk-Jae Lee
2020	—	`conf`	Uncertainty-based Object Detector for Autonomous Driving Embedded Platforms. AICAS Jiwoong Choi, Dayoung Chun, Hyuk-Jae Lee, Hyun Kim
2019	—	`conf`	A Hardware-Friendly Compression Algorithm for Profiling DDR4 Memory Accesses. ICEIC Xuan Truong Nguyen, Jiwoong Choi, Hyuk-Jae Lee, Hyun Kim
2019	J	`jnl`	A High-Throughput Hardware Accelerator for Lossless Compression of a DDR4 Command Trace. IEEE Trans. Very Large Scale Integr. Syst. Jiwoong Choi, Boyeal Kim, Hyun Kim, Hyuk-Jae Lee
2019	J	`jnl`	A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection. IEEE Trans. Very Large Scale Integr. Syst. Duy Thanh Nguyen, Tuan Nghia Nguyen, Hyun Kim, Hyuk-Jae Lee
2019	J	`jnl`	An Effective DRAM Address Remapping for Mitigating Rowhammer Errors. IEEE Trans. Computers Moonsoo Kim, Jungwoo Choi, Hyun Kim, Hyuk-Jae Lee
2019	A*	`conf`	Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving. ICCV Jiwoong Choi, Dayoung Chun, Hyun Kim, Hyuk-Jae Lee
2019	J	`jnl`	Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving. CoRR Jiwoong Choi, Dayoung Chun, Hyun Kim, Hyuk-Jae Lee
2019	J	`jnl`	Integration and Boost of a Read-Modify-Write Module in Phase Change Memory System. IEEE Trans. Computers Hyokeun Lee, Moonsoo Kim, Hyunchul Kim, Hyun Kim, Hyuk-Jae Lee
2019	J	`jnl`	ROI-Based LiDAR Sampling Algorithm in on-Road Environment for Autonomous Driving. IEEE Access Xuan Truong Nguyen, Khac-Thai Nguyen, Hyuk-Jae Lee, Hyun Kim
2018	J	`jnl`	A Low-Cost Hardware Design of a 1-D SPIHT Algorithm for Video Display Systems. IEEE Trans. Consumer Electron. Xuan Truong Nguyen, Hyuk-Jae Lee, Hyun Kim
2018	C	`conf`	An Approximate Memory Architecture for a Reduction of Refresh Power Consumption in Deep Learning Applications. ISCAS Duy Thanh Nguyen, Hyun Kim, Hyuk-Jae Lee, Ik Joon Chang
2018	J	`jnl`	Optimal Selection of SRAM Bit-Cell Size for Power Reduction in Video Compression. IEEE J. Emerg. Sel. Topics Circuits Syst. Hyun Kim, Ik Joon Chang, Hyuk-Jae Lee
2018	J	`jnl`	SPIHT Algorithm With Adaptive Selection of Compression Ratio Depending on DWT Coefficients. IEEE Trans. Multim. Hyun Kim, Albert No, Hyuk-Jae Lee
2017	J	`jnl`	A low-power surveillance video coding system with early background subtraction and adaptive frame memory compression. IEEE Trans. Consumer Electron. Hyun Kim, Hyuk-Jae Lee
2017	—	`conf`	Implementation of the XY2-100 protocol on low-cost microcontroller. ISOCC Dinh Van Luan, Nguyen Xuan Truong, Hyun Kim, Hyuk-Jae Lee
2017	—	`conf`	Nonlithographic fabrication of inflatable and deflatable polydimethylsiloxane (PDMS) micro-channels for magnetic actuation. EMBC Hyun Kim, Pyojin Kim, Jong-Mo Seo
2017	—	`conf`	Simple and fast polydimethylsiloxane (PDMS) patterning using a cutting plotter and vinyl adhesives to achieve etching results. EMBC Hyun Kim, Sun-Young Yoo, Ji Sung Kim, Zihuan Wang, Woon-Hee Lee, Kyo-In Koo, Jong-Mo Seo, Dong-Il Cho
2016	J	`jnl`	A Low-Power Video Recording System With Multiple Operation Modes for H.264 and Light-Weight Compression. IEEE Trans. Multim. Hyun Kim, Chae-Eun Rhee, Hyuk-Jae Lee
2016	C	`conf`	An adaptive selection of an SRAM cell size for power reduction in an H.264/AVC encoder. ICCE Hyun Kim, Ik Joon Chang, Hyuk-Jae Lee
2015	J	`jnl`	An Effective Combination of Power Scaling for H.264/AVC Compression. IEEE Trans. Very Large Scale Integr. Syst. Hyun Kim, Chae-Eun Rhee, Hyuk-Jae Lee
2015	J	`jnl`	An enhanced one-dimensional SPIHT algorithm and its implementation for TV systems. Displays Sunwoong Kim, Donghyeon Lee, Hyun Kim, Nguyen Xuan Truong, Jin-Sung Kim
2014	Misc	`conf`	A low-power hybrid video recording system with H.264/AVC and light-weight compression. ACSSC Hyun Kim, Chae-Eun Rhee, Hyuk-Jae Lee
2013	—	`conf`	A low-power video recording system with H.264/AVC and light-weight compression. SiPS Hyun Kim, Chae-Eun Rhee, Hyuk-Jae Lee
2013	C	`conf`	Address generation for lossless frame memory compression in an H.264/AVC encoder. ICCE Hyun Kim, Chae-Eun Rhee, Hyuk-Jae Lee
2012	—	`conf`	An inter-frame macroblock schedule for memory access reduction in H.264/AVC bi-directional prediction. ISOCC Chae-Eun Rhee, Hyun Kim, Hyuk-Jae Lee
2011	C	`conf`	Power-aware design with various low-power algorithms for an H.264/AVC encoder. ISCAS Hyun Kim, Chae-Eun Rhee, Jin-Sung Kim, Sunwoong Kim, Hyuk-Jae Lee