Hyungjun Kim - RankMe

98 papers A* 13A 7B 2C 10Misc 2Journal 47Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Debunking the CUDA Myth Towards GPU-based AI Systems. CoRR Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu
2025	A*	`conf`	Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel's Gaudi NPU for AI Model Serving. ISCA Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu
2025	J	`jnl`	GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning. CoRR Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park
2025	B	`conf`	HEART: Heterogeneous-Aware Traffic Allocation in Multi-Replica Deployments on Kubernetes. CLOUD Hokun Park, Donggyun Kim, Hyungjun Kim, Gyujeong Lim, HeonChang Yu
2025	J	`jnl`	Investigating the Nature of PRM:SH3 Interactions Using Artificial Intelligence and Molecular Dynamics. J. Chem. Inf. Model. Se-jun Kim, Da-Eun Hwang, Hyungjun Kim, Jeong-Mo Choi
2025	B	`conf`	Korel: Mitigating Stragglers via Real-Time Automatic Mixed Precision in Distributed Deep Learning Environments. CLOUD Hyunseung Jung, Hyungjun Kim, HeonChang Yu
2025	J	`jnl`	Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency. CoRR Minjong Cheon, Eunhan Goo, Su-Hyeon Shin, Muhammad Ahmed, Hyungjun Kim
2025	J	`jnl`	Power Consumption Optimization of GPU Server With Offline Reinforcement Learning. IEEE Access Heechan Chung, Yeeun Im, Jongchan Park, Taeho Lee, Tae-Young Kim, Hyungjun Kim, Donghwan Lee
2025	J	`jnl`	SADDLE: A runtime feedback control architecture for adaptive distributed deep learning in heterogeneous GPU clusters. J. Syst. Archit. Hyungjun Kim, EunYoung Lee, HeonChang Yu
2024	A	`conf`	Fabrication of a 940 nm RuS2 Photodetector via Post-Sulfurization of Ru Thin Film Grown by Atomic Layer Deposition. ICST Jaehyeok Kim, Tatsuya Nakazawa, Donghyun Kim, Yohei Kotsugi, Seung-Min Chung, Soo-Hyun Kim, Hyungjun Kim
2024	—	`conf`	LARE-HPA: Co-optimizing Latency and Resource Efficiency for Horizontal Pod Autoscaling in Kubernetes. ICSOC (2) Donggyun Kim, Hyungjun Kim, EunYoung Lee, HeonChang Yu
2024	A	`conf`	Noble Metal Nanoparticles Functionalized 2D Transition Metal Dichalcogenides by Atomic Layer Deposition for Enhanced Sensing Properties Toward Amino Acids. ICST Jisang Yoo, Sangyoon Lee, Jaehyeok Kim, Inkyu Sohn, Seung-Min Chung, Hyungjun Kim
2024	A*	`conf`	OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models. AAAI Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
2024	—	`conf`	Optimizing Traffic Allocation for Multi-replica Microservice Deployments in Edge Cloud. ICSOC (1) Hokun Park, Hyungjun Kim, Donggyun Kim, Gyujeong Lim, HeonChang Yu
2024	J	`jnl`	QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference. CoRR Taesu Kim, Jongho Lee, Daehyun Ahn, Sarang Kim, Jiwoong Choi, Minkyu Kim, Hyungjun Kim
2024	A	`conf`	RepTor: Re-parameterizable Temporal Convolution for Keyword Spotting via Differentiable Kernel Search. INTERSPEECH Eunik Park, Daehyun Ahn, Hyungjun Kim
2024	A*	`conf`	SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. ICML Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2024	J	`jnl`	SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. CoRR Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2023	C	`conf`	Addressing Straggler Problem Through Dynamic Partial All-Reduce for Distributed Deep Learning in Heterogeneous GPU Clusters. ICCE Hyungjun Kim, Chunggeon Song, HwaMin Lee, HeonChang Yu
2023	A*	`conf`	INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. ICCV Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim
2023	A*	`conf`	Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis. NeurIPS Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon Kim
2023	J	`jnl`	Neural network models for atmospheric residue desulfurization using real plant data with novel training strategies. Comput. Chem. Eng. Yungun Jung, Hyungjun Kim, Gyeonggwan Jeon, Yeonsoo Kim
2023	J	`jnl`	OWQ: Lessons learned from activation outliers for weight quantization in large language models. CoRR Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
2023	A	`conf`	Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim
2023	J	`jnl`	Squeezing Large-Scale Diffusion Models for Mobile. CoRR Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim
2023	A*	`conf`	Temporal Dynamic Quantization for Diffusion Models. NeurIPS Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
2023	J	`jnl`	Temporal Dynamic Quantization for Diffusion Models. CoRR Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
2022	J	`jnl`	BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks. IEEE J. Solid State Circuits Sungju Ryu, Hyungjun Kim, Wooseok Yi, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
2022	J	`jnl`	Extreme Partial-Sum Quantization for Analog Computing-In-Memory Neural Network Accelerators. ACM J. Emerg. Technol. Comput. Syst. Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim
2022	J	`jnl`	INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. CoRR Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim
2022	J	`jnl`	Multiple vehicle tracking and classification system with a convolutional neural network. J. Ambient Intell. Humaniz. Comput. Hyungjun Kim
2022	A*	`conf`	TAIM: ternary activation in-memory computing hardware with 6T SRAM array. DAC Nameun Kang, Hyungjun Kim, Hyunmyung Oh, Jae-Joon Kim
2021	J	`jnl`	Empirical strategy for stretching probability distribution in neural-network-based regression. Neural Networks Eunho Koo, Hyungjun Kim
2021	—	`conf`	Energy-efficient charge sharing-based 8T2C SRAM in-memory accelerator for binary neural networks in 28nm CMOS. A-SSCC Hyunmyung Oh, Hyungjun Kim, Daehyun Ahn, Jihoon Park, Yulhwa Kim, Inhwan Lee, Jae-Joon Kim
2021	A*	`conf`	Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution. CVPR Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim
2021	J	`jnl`	Manifestation of Flexural Vibration Modes of Rails by the Phase-Based Magnification Method. IEEE Access Hyungjun Kim, Youngbeen Chung, Jie Jin, Junhong Park
2021	A	`conf`	Mapping Binary ResNets on Computing-In-Memory Hardware with Low-bit ADCs. DATE Yulhwa Kim, Hyungjun Kim, Jihoon Park, Hyunmyung Oh, Jae-Joon Kim
2021	J	`jnl`	Maximizing Parallel Activation of Word-Lines in MRAM-Based Binary Neural Network Accelerators. IEEE Access Daehyun Ahn, Hyunmyung Oh, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2021	J	`jnl`	SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System. IEEE Access Hwaran Lee, Seokhwan Jo, Hyungjun Kim, Sangkeun Jung, Tae-Yoon Kim
2021	—	`conf`	Single RRAM Cell-based In-Memory Accelerator Architecture for Binary Neural Networks. AICAS Hyunmyung Oh, Hyungjun Kim, Nameun Kang, Yulhwa Kim, Jihoon Park, Jae-Joon Kim
2020	—	`conf`	A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS. CICC Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jongeun Koo, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
2020	A*	`conf`	Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead. DAC Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim
2020	A*	`conf`	BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations. ICLR Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim
2020	J	`jnl`	BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations. CoRR Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim
2020	—	`conf`	Classification of Diagnosis of Alzheimer's Disease Based on Convolutional Layers of VGG16 Model using Speech Data. ICTC Minwoo Kim, Hyungjun Kim, Joon S. Lim
2020	J	`jnl`	Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression. CoRR Eunho Koo, Hyungjun Kim
2020	A	`conf`	Energy-efficient XNOR-free In-Memory BNN Accelerator with Input Distribution Regularization. ICCAD Hyungjun Kim, Hyunmyung Oh, Jae-Joon Kim
2020	J	`jnl`	Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution. CoRR Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim
2020	J	`jnl`	Reduced tactile acuity in chronic low back pain is linked with structural neuroplasticity in primary somatosensory cortex and is modulated by acupuncture therapy. NeuroImage Hyungjun Kim, Ishtiaq Mawla, Jeungchan Lee, Jessica Gerber, Kathryn Walker, Jieun Kim, Ana Ortiz, Suk-Tak Chan, Marco L. Loggia, Ajay D. Wasan, Robert R. Edwards, Jian Kong, Ted J. Kaptchuk, Randy L. Gollub, Bruce R. Rosen, Vitaly Napadow
2020	J	`jnl`	SUMBT+LaRL: End-to-end Neural Task-oriented Dialog System with Reinforcement Learning. CoRR Hwaran Lee, Seokhwan Jo, Hyungjun Kim, Sangkeun Jung, Tae-Yoon Kim
2019	—	`conf`	Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array. VLSI Circuits Jinseok Kim, Jongeun Koo, Taesu Kim, Yulhwa Kim, Hyungjun Kim, Seunghyun Yoo, Jae-Joon Kim
2019	A*	`conf`	BitBlade: Area and Energy-Efficient Precision-Scalable Neural Network Accelerator with Bitwise Summation. DAC Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jae-Joon Kim
2019	J	`jnl`	BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function. CoRR Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim
2019	—	`conf`	In-memory batch-normalization for resistive memory based binary neural network hardware. ASP-DAC Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2019	J	`jnl`	Safety Assessment Framework for Nuclear Power Plant Decommissioning Workers. IEEE Access Hyungjun Kim, Donghyun Lee, Choong Wie Lee, Hee Reyoung Kim, Seung Jun Lee
2019	J	`jnl`	Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays. CoRR Hyungjun Kim, Malte J. Rasch, Tayfun Gokmen, Takashi Ando, Hiroyuki Miyazoe, Jae-Joon Kim, John Rozen, Seyoung Kim
2018	J	`jnl`	A Knowledge-Based Real-Time Vision System for Monitoring the Inside of a Fluid Bed Heat Exchanger Chamber. Int. J. Softw. Eng. Knowl. Eng. Hyungjun Kim
2018	J	`jnl`	Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. ACM J. Emerg. Technol. Comput. Syst. Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim
2018	A	`conf`	Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array. ISLPED Yulhwa Kim, Hyungjun Kim, Daehyun Ahn, Jae-Joon Kim
2018	J	`jnl`	Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators. CoRR Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim
2018	—	`conf`	PREFER: PREdiction Model for Financial Entity Relation. DSMM@SIGMOD Hoyeop Lee, Jongseon Park, Hyungjun Kim, Hyunsouk Cho, Geonsoo Kim
2018	J	`jnl`	Warm Season Satellite Precipitation Biases for Different Cloud Types Over Western North Pacific. IEEE Geosci. Remote. Sens. Lett. Nobuyuki Utsumi, Hyungjun Kim
2017	J	`jnl`	Assessment of Chlorophyll- Sensors Salem Ibrahim Salem, Hiroto Higa, Hyungjun Kim, Hiroshi Kobayashi, Kazuo Oki, Taikan Oki
2017	J	`jnl`	Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. CoRR Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim
2017	J	`jnl`	Evaluation of MERIS Chlorophyll-a Retrieval Processors in a Complex Turbid Lake Kasumigaura over a 10-Year Mission. Remote. Sens. Salem Ibrahim Salem, Marie Hayashi Strand, Hiroto Higa, Hyungjun Kim, Kazuhiro Komatsu, Kazuo Oki, Taikan Oki
2017	J	`jnl`	Multi-Algorithm Indices and Look-Up Table for Chlorophyll-a Retrieval in Highly Turbid Water Bodies Using Multispectral Data. Remote. Sens. Salem Ibrahim Salem, Hiroto Higa, Hyungjun Kim, Kazuhiro Komatsu, Hiroshi Kobayashi, Kazuo Oki, Taikan Oki
2016	J	`jnl`	Opinion polarity detection in Twitter data combining shrinkage regression and topic modeling. J. Informetrics Hyui Geon Yoon, Hyungjun Kim, Chang Ouk Kim, Min Song
2015	J	`jnl`	Prediction of the reduction potential of tris(2, 2′-bipyridinyl)iron(III/II) derivatives. J. Comput. Chem. Hyungjun Kim, Joungwon Park, Yoon Sup Lee
2015	J	`jnl`	Use It or Lose It: Proactive, Deterministic Longevity in Future Chip Multiprocessors. ACM Trans. Design Autom. Electr. Syst. Hyungjun Kim, Siva Bhanu Krishna Boga, Arseniy Vitkovskiy, Stavros Hadjitheophanous, Paul V. Gratz, Vassos Soteriou, Maria K. Michael
2014	Misc	`conf`	AddSIM: a new Korean engagement simulation environment using high resolution models. WSC Hyun-Shik Oh, Samjoon Park, Hyungjun Kim, Taeho Lee, Sangjin Lee, Dohyung Kim, Ockhyun Paek, Ju-Hye Park
2014	J	`jnl`	Spatial Locality Speculation to Reduce Energy in Chip-Multiprocessor Networks-on-Chip. IEEE Trans. Computers Hyungjun Kim, Boris Grot, Paul V. Gratz, Daniel A. Jiménez
2013	J	`jnl`	A protocol to evaluate one electron redox potential for iron complexes. J. Comput. Chem. Hyungjun Kim, Joungwon Park, Yoon Sup Lee
2013	A*	`conf`	Dynamic voltage and frequency scaling for shared resources in multicore processor designs. DAC Xi Chen, Zheng Xu, Hyungjun Kim, Paul V. Gratz, Jiang Hu, Michael Kishinevsky, Ümit Y. Ogras, Raid Zuhair Ayoub
2013	J	`jnl`	In-network monitoring and control policy for DVFS of CMP networks-on-chip and last level caches. ACM Trans. Design Autom. Electr. Syst. Xi Chen, Zheng Xu, Hyungjun Kim, Paul Gratz, Jiang Hu, Michael Kishinevsky, Ümit Y. Ogras
2013	C	`conf`	Power gating with block migration in chip-multiprocessor last-level caches. ICCD David Kadjo, Hyungjun Kim, Paul Gratz, Jiang Hu, Raid Ayoub
2013	A*	`conf`	Use it or lose it: wear-out and lifetime in future chip multiprocessors. MICRO Hyungjun Kim, Arseniy Vitkovskiy, Paul V. Gratz, Vassos Soteriou
2012	—	`conf`	In-network Monitoring and Control Policy for DVFS of CMP Networks-on-Chip and Last Level Caches. NOCS Xi Chen, Zheng Xu, Hyungjun Kim, Paul Gratz, Jiang Hu, Michael Kishinevsky, Ümit Y. Ogras
2012	J	`jnl`	Security and Vulnerability of SCADA Systems over IP-Based Wireless Sensor Networks. Int. J. Distributed Sens. Networks Hyungjun Kim
2011	—	`conf`	Reducing network-on-chip energy consumption through spatial locality speculation. NOCS Hyungjun Kim, Pritha Ghoshal, Boris Grot, Paul V. Gratz, Daniel A. Jiménez
2011	C	`conf`	Toward global-scale data assimilation using SWOT: Requirements for global hydrodynamics models. IGARSS Dai Yamazaki, Douglas E. Alsdorf, Hyungjun Kim, Shinjiro Kanae, Taikan Oki, Konstantinos Andreadis
2010	J	`jnl`	A study on the relationship between Atlantic sea surface temperature and Amazonian greenness. Ecol. Informatics Jaeil Cho, Pat J.-F. Yeh, Yang-Won Lee, Hyungjun Kim, Taikan Oki, Shinjiro Kanae, Wonsik Kim, Kyoichi Otsuki
2010	J	`jnl`	Leveraging Unused Cache Block Words to Reduce Power in CMP Interconnect. IEEE Comput. Archit. Lett. Hyungjun Kim, Paul V. Gratz
2009	—	`conf`	Recursive partitioning multicast: A bandwidth-efficient routing for Networks-on-Chip. NOCS Lei Wang, Yuho Jin, Hyungjun Kim, Eun Jung Kim
2007	J	`jnl`	Ubiquitous Sensor Network-based Rehabilitation Center. J. Inform. and Commun. Convergence Engineering Bart Jarochowski, Hyungjun Kim, Daehyun Ryu, Seung-Joong Shin
2006	C	`conf`	A Proposal for a Home-Based Health Monitoring System for the Elderly or Disabled. ICCHP Hyungjun Kim, Bart Jarochowski, Daehyun Ryu
2006	C	`conf`	Computer Control by Tracking Head Movements for the Disabled. ICCHP Hyungjun Kim, Daehyun Ryu
2006	—	`conf`	Motion Vector Prediction Using Frequency Sensitive Competitive Learning. ICONIP (2) Hyungjun Kim
2006	—	`conf`	Search Region Prediction for Motion Estimation Based on Neural Network Vector Quantization. ISNN (2) Daehyun Ryu, Hyungjun Kim
2006	C	`conf`	Smart Wheelchair Based on Ultrasonic Positioning System. ICCHP Hyungjun Kim, Daehyun Ryu
2005	C	`conf`	A Watermarking Method Using Quantization and Statistical Characteristics of Wavelet Transform. PDCAT KeunDuck Byun, Sangjin Lee, Hyungjun Kim
2005	—	`conf`	Applying LR Cube Analysis to JSteg Detection. Communications and Multimedia Security Kwangsoo Lee, Changho Jung, Sangjin Lee, Hyungjun Kim, Jongin Lim
2005	C	`conf`	Automatic Detection of Spiculated Masses Using Fractal Analysis in Digital Mammography. CAIP Hyungjun Kim, Wonha Kim
2004	C	`conf`	A Parallel Algorithm for the Biorthogonal Wavelet Transform Without Multiplication. CIS Hyungjun Kim
2004	Misc	`conf`	On Security Notions for Steganalysis. ICISC Kisik Chang, Robert H. Deng, Feng Bao, Sangjin Lee, Hyungjun Kim, Jongin Lim
2004	C	`conf`	On Security Notions of Steganographic Systems. IWDW Kisik Chang, Robert H. Deng, Feng Bao, Sangjin Lee, Hyungjun Kim
2004	J	`jnl`	Population monotonic rules for fair allocation problems. Soc. Choice Welf. Hyungjun Kim
1997	—	`conf`	Image Compression Using Biorthogonal Wavelet Transforms with Multiplierless 2-D Filter Mask Operation. ICIP (1) Hyungjun Kim
1992	—	`conf`	A performance study of two wavelet-based edge detectors. ICPR (3) Hyungjun Kim, W. Kim, C. C. Li