Hyungjun Kim

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 49

Top Topics

Lessons Learned

Tropical Cyclones

Top Venues

ACM J. Emerg. Technol. Comput. Syst.

Publications

Taesu Kim, Jongho Lee, Daehyun Ahn, Sarang Kim, Jiwoong Choi, Minkyu Kim, Hyungjun Kim
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference. CoRR (2024)
Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models. AAAI (2024)
Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. CoRR (2024)
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
Temporal Dynamic Quantization for Diffusion Models. NeurIPS (2023)
Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV (2023)
Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
OWQ: Lessons learned from activation outliers for weight quantization in large language models. CoRR (2023)
Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon kim
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis. NeurIPS (2023)
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
Temporal Dynamic Quantization for Diffusion Models. CoRR (2023)
Yungun Jung, Hyungjun Kim, Gyeonggwan Jeon, Yeonsoo Kim
Neural network models for atmospheric residue desulfurization using real plant data with novel training strategies. Comput. Chem. Eng. 177 (2023)
Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim
Squeezing Large-Scale Diffusion Models for Mobile. CoRR (2023)
Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. ICCV (2023)
Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim
Extreme Partial-Sum Quantization for Analog Computing-In-Memory Neural Network Accelerators. ACM J. Emerg. Technol. Comput. Syst. 18 (4) (2022)
Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. CoRR (2022)
Sungju Ryu, Hyungjun Kim, Wooseok Yi, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks. IEEE J. Solid State Circuits 57 (6) (2022)
Nameun Kang, Hyungjun Kim, Hyunmyung Oh, Jae-Joon Kim
TAIM: ternary activation in-memory computing hardware with 6T SRAM array. DAC (2022)
Hwaran Lee, Seokhwan Jo, Hyungjun Kim, Sangkeun Jung, Tae-Yoon Kim
SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System. IEEE Access 9 (2021)
Eunho Koo, Hyungjun Kim
Empirical strategy for stretching probability distribution in neural-network-based regression. Neural Networks 140 (2021)
Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim
Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution. CVPR (2021)
Hyunmyung Oh, Hyungjun Kim, Daehyun Ahn, Jihoon Park, Yulhwa Kim, Inhwan Lee, Jae-Joon Kim
Energy-efficient charge sharing-based 8T2C SRAM in-memory accelerator for binary neural networks in 28nm CMOS. A-SSCC (2021)
Hyunmyung Oh, Hyungjun Kim, Nameun Kang, Yulhwa Kim, Jihoon Park, Jae-Joon Kim
Single RRAM Cell-based In-Memory Accelerator Architecture for Binary Neural Networks. AICAS (2021)
Hyungjun Kim, Youngbeen Chung, Jie Jin, Junhong Park
Manifestation of Flexural Vibration Modes of Rails by the Phase-Based Magnification Method. IEEE Access 9 (2021)
Yulhwa Kim, Hyungjun Kim, Jihoon Park, Hyunmyung Oh, Jae-Joon Kim
Mapping Binary ResNets on Computing-In-Memory Hardware with Low-bit ADCs. DATE (2021)
Daehyun Ahn, Hyunmyung Oh, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
Maximizing Parallel Activation of Word-Lines in MRAM-Based Binary Neural Network Accelerators. IEEE Access 9 (2021)
Eunho Koo, Hyungjun Kim
Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression. CoRR (2020)
Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations. ICLR (2020)
Minwoo Kim, Hyungjun Kim, Joon S. Lim
Classification of Diagnosis of Alzheimer's Disease Based on Convolutional Layers of VGG16 Model using Speech Data. ICTC (2020)
Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution. CoRR (2020)
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
Reduced tactile acuity in chronic low back pain is linked with structural neuroplasticity in primary somatosensory cortex and is modulated by acupuncture therapy. NeuroImage 217 (2020)
Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jongeun Koo, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS. CICC (2020)
Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim
Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead. DAC (2020)
Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations. CoRR (2020)
Hyungjun Kim, Hyunmyung Oh, Jae-Joon Kim
Energy-efficient XNOR-free In-Memory BNN Accelerator with Input Distribution Regularization. ICCAD (2020)
Hyungjun Kim, Donghyun Lee, Choong Wie Lee, Hee Reyoung Kim, Seung Jun Lee
Safety Assessment Framework for Nuclear Power Plant Decommissioning Workers. IEEE Access 7 (2019)
Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim
BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function. CoRR (2019)
Hyungjun Kim, Malte J. Rasch, Tayfun Gokmen, Takashi Ando, Hiroyuki Miyazoe, Jae-Joon Kim, John Rozen, Seyoung Kim
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays. CoRR (2019)
Jinseok Kim, Jongeun Koo, Taesu Kim, Yulhwa Kim, Hyungjun Kim, Seunghyun Yoo, Jae-Joon Kim
Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array. VLSI Circuits (2019)
Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jae-Joon Kim
BitBlade: Area and Energy-Efficient Precision-Scalable Neural Network Accelerator with Bitwise Summation. DAC (2019)
Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
In-memory batch-normalization for resistive memory based binary neural network hardware. ASP-DAC (2019)
Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim
Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. ACM J. Emerg. Technol. Comput. Syst. 14 (2) (2018)
Yulhwa Kim, Hyungjun Kim, Daehyun Ahn, Jae-Joon Kim
Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array. ISLPED (2018)
Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim
Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators. CoRR (2018)
Hyungjun Kim
A Knowledge-Based Real-Time Vision System for Monitoring the Inside of a Fluid Bed Heat Exchanger Chamber. Int. J. Softw. Eng. Knowl. Eng. 28 (9) (2018)
Hoyeop Lee, Jongseon Park, Hyungjun Kim, Hyunsouk Cho, Geonsoo Kim
PREFER: PREdiction Model for Financial Entity Relation. DSMM@SIGMOD (2018)
Nobuyuki Utsumi, Hyungjun Kim
Warm Season Satellite Precipitation Biases for Different Cloud Types Over Western North Pacific. IEEE Geosci. Remote. Sens. Lett. 15 (6) (2018)
Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim
Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. CoRR (2017)
Salem Ibrahim Salem, Hiroto Higa, Hyungjun Kim, Hiroshi Kobayashi, Kazuo Oki, Taikan Oki
Algorithms Considering Different Trophic Statuses and Optimal Bands. Sensors 17 (8) (2017)
Salem Ibrahim Salem, Hiroto Higa, Hyungjun Kim, Kazuhiro Komatsu, Hiroshi Kobayashi, Kazuo Oki, Taikan Oki
Multi-Algorithm Indices and Look-Up Table for Chlorophyll-a Retrieval in Highly Turbid Water Bodies Using Multispectral Data. Remote. Sens. 9 (6) (2017)
Salem Ibrahim Salem, Marie Hayashi Strand, Hiroto Higa, Hyungjun Kim, Kazuhiro Komatsu, Kazuo Oki, Taikan Oki
Evaluation of MERIS Chlorophyll-a Retrieval Processors in a Complex Turbid Lake Kasumigaura over a 10-Year Mission. Remote. Sens. 9 (10) (2017)
Hyui Geon Yoon, Hyungjun Kim, Chang Ouk Kim, Min Song
Opinion polarity detection in Twitter data combining shrinkage regression and topic modeling. J. Informetrics 10 (2) (2016)
Hyungjun Kim, Joungwon Park, Yoon Sup Lee
Prediction of the reduction potential of tris(2, 2′-bipyridinyl)iron(III/II) derivatives. J. Comput. Chem. 36 (1) (2015)
Hyungjun Kim, Siva Bhanu Krishna Boga, Arseniy Vitkovskiy, Stavros Hadjitheophanous, Paul V. Gratz, Vassos Soteriou, Maria K. Michael
Use It or Lose It: Proactive, Deterministic Longevity in Future Chip Multiprocessors. ACM Trans. Design Autom. Electr. Syst. 20 (4) (2015)
Hyungjun Kim, Boris Grot, Paul V. Gratz, Daniel A. Jiménez
Spatial Locality Speculation to Reduce Energy in Chip-Multiprocessor Networks-on-Chip. IEEE Trans. Computers 63 (3) (2014)
David Kadjo, Hyungjun Kim, Paul Gratz, Jiang Hu, Raid Ayoub
Power gating with block migration in chip-multiprocessor last-level caches. ICCD (2013)
Hyungjun Kim, Arseniy Vitkovskiy, Paul V. Gratz, Vassos Soteriou
Use it or lose it: wear-out and lifetime in future chip multiprocessors. MICRO (2013)
Xi Chen, Zheng Xu, Hyungjun Kim, Paul Gratz, Jiang Hu, Michael Kishinevsky, Ümit Y. Ogras
In-network monitoring and control policy for DVFS of CMP networks-on-chip and last level caches. ACM Trans. Design Autom. Electr. Syst. 18 (4) (2013)
Hyungjun Kim, Joungwon Park, Yoon Sup Lee
A protocol to evaluate one electron redox potential for iron complexes. J. Comput. Chem. 34 (26) (2013)
Xi Chen, Zheng Xu, Hyungjun Kim, Paul V. Gratz, Jiang Hu, Michael Kishinevsky, Ümit Y. Ogras, Raid Zuhair Ayoub
Dynamic voltage and frequency scaling for shared resources in multicore processor designs. DAC (2013)
Xi Chen, Zheng Xu, Hyungjun Kim, Paul Gratz, Jiang Hu, Michael Kishinevsky, Ümit Y. Ogras
In-network Monitoring and Control Policy for DVFS of CMP Networks-on-Chip and Last Level Caches. NOCS (2012)
Hyungjun Kim, Pritha Ghoshal, Boris Grot, Paul V. Gratz, Daniel A. Jiménez
Reducing network-on-chip energy consumption through spatial locality speculation. NOCS (2011)
Dai Yamazaki, Douglas E. Alsdorf, Hyungjun Kim, Shinjiro Kanae, Taikan Oki, Konstantinos Andreadis
Toward global-scale data assimilation using SWOT: Requirements for global hydrodynamics models. IGARSS (2011)
Hyungjun Kim, Paul V. Gratz
Leveraging Unused Cache Block Words to Reduce Power in CMP Interconnect. IEEE Comput. Archit. Lett. 9 (1) (2010)
Jaeil Cho, Pat J.-F. Yeh, Yang-Won Lee, Hyungjun Kim, Taikan Oki, Shinjiro Kanae, Wonsik Kim, Kyoichi Otsuki
A study on the relationship between Atlantic sea surface temperature and Amazonian greenness. Ecol. Informatics 5 (5) (2010)
Lei Wang, Yuho Jin, Hyungjun Kim, Eun Jung Kim
Recursive partitioning multicast: A bandwidth-efficient routing for Networks-on-Chip. NOCS (2009)
Hyungjun Kim
Population monotonic rules for fair allocation problems. Soc. Choice Welf. 23 (1) (2004)