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Hyungjun Kim
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Journal Articles
- 2023
- [j24]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: 108333 (2023) - 2022
- [j23]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): 75:1-75:19 (2022) - [j22]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): 1924-1935 (2022) - 2021
- [j21]Hyungjun Kim
, Youngbeen Chung, Jie Jin, Junhong Park
:
Manifestation of Flexural Vibration Modes of Rails by the Phase-Based Magnification Method. IEEE Access 9: 98121-98131 (2021) - [j20]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: 116133-116146 (2021) - [j19]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: 141961-141969 (2021) - [j18]Eunho Koo, Hyungjun Kim
:
Empirical strategy for stretching probability distribution in neural-network-based regression. Neural Networks 140: 113-120 (2021) - 2020
- [j17]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: 116899 (2020) - 2019
- [j16]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: 76305-76316 (2019) - 2018
- [j15]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): 1249-1265 (2018) - [j14]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): 15:1-15:17 (2018) - [j13]Nobuyuki Utsumi
, Hyungjun Kim
:
Warm Season Satellite Precipitation Biases for Different Cloud Types Over Western North Pacific. IEEE Geosci. Remote. Sens. Lett. 15(6): 808-812 (2018) - 2017
- [j12]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): 556 (2017) - [j11]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): 1022 (2017) - [j10]Salem Ibrahim Salem
, Hiroto Higa, Hyungjun Kim
, Hiroshi Kobayashi, Kazuo Oki, Taikan Oki
:
Assessment of Chlorophyll-a Algorithms Considering Different Trophic Statuses and Optimal Bands. Sensors 17(8): 1746 (2017) - 2016
- [j9]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): 634-644 (2016) - 2015
- [j8]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): 33-41 (2015) - [j7]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): 65:1-65:26 (2015) - 2014
- [j6]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): 543-556 (2014) - 2013
- [j5]Hyungjun Kim, Joungwon Park, Yoon Sup Lee:
A protocol to evaluate one electron redox potential for iron complexes. J. Comput. Chem. 34(26): 2233-2241 (2013) - [j4]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): 47:1-47:21 (2013) - 2010
- [j3]Hyungjun Kim, Paul V. Gratz
:
Leveraging Unused Cache Block Words to Reduce Power in CMP Interconnect. IEEE Comput. Archit. Lett. 9(1): 33-36 (2010) - [j2]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): 367-378 (2010) - 2004
- [j1]Hyungjun Kim:
Population monotonic rules for fair allocation problems. Soc. Choice Welf. 23(1): 59-70 (2004)
Conference and Workshop Papers
- 2024
- [c27]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: 13355-13364 - 2023
- [c26]Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim:
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. ICCV 2023: 17279-17288 - [c25]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 - [c24]Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park:
Temporal Dynamic Quantization for Diffusion Models. NeurIPS 2023 - [c23]Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim:
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV 2023: 2409-2418 - 2022
- [c22]Nameun Kang, Hyungjun Kim, Hyunmyung Oh, Jae-Joon Kim:
TAIM: ternary activation in-memory computing hardware with 6T SRAM array. DAC 2022: 1081-1086 - 2021
- [c21]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: 1-4 - [c20]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: 1-3 - [c19]Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim:
Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution. CVPR 2021: 7862-7871 - [c18]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: 856-861 - 2020
- [c17]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: 1-4 - [c16]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: 1-6 - [c15]Hyungjun Kim, Hyunmyung Oh, Jae-Joon Kim:
Energy-efficient XNOR-free In-Memory BNN Accelerator with Input Distribution Regularization. ICCAD 2020: 94:1-94:9 - [c14]Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim:
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations. ICLR 2020 - [c13]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: 456-459 - 2019
- [c12]Hyungjun Kim, Yulhwa Kim
, Jae-Joon Kim:
In-memory batch-normalization for resistive memory based binary neural network hardware. ASP-DAC 2019: 645-650 - [c11]Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jae-Joon Kim:
BitBlade: Area and Energy-Efficient Precision-Scalable Neural Network Accelerator with Bitwise Summation. DAC 2019: 84 - [c10]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: 118- - 2018
- [c9]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: 41:1-41:6 - [c8]Hoyeop Lee, Jongseon Park, Hyungjun Kim, Hyunsouk Cho, Geonsoo Kim:
PREFER: PREdiction Model for Financial Entity Relation. DSMM@SIGMOD 2018: 11:1-11:2 - 2013
- [c7]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: 114:1-114:7 - [c6]David Kadjo, Hyungjun Kim, Paul Gratz
, Jiang Hu, Raid Ayoub:
Power gating with block migration in chip-multiprocessor last-level caches. ICCD 2013: 93-99 - [c5]Hyungjun Kim, Arseniy Vitkovskiy, Paul V. Gratz
, Vassos Soteriou
:
Use it or lose it: wear-out and lifetime in future chip multiprocessors. MICRO 2013: 136-147 - 2012
- [c4]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: 43-50 - 2011
- [c3]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: 3031-3034 - [c2]Hyungjun Kim, Pritha Ghoshal, Boris Grot
, Paul V. Gratz
, Daniel A. Jiménez:
Reducing network-on-chip energy consumption through spatial locality speculation. NOCS 2011: 233-240 - 2009
- [c1]Lei Wang, Yuho Jin, Hyungjun Kim, Eun Jung Kim:
Recursive partitioning multicast: A bandwidth-efficient routing for Networks-on-Chip. NOCS 2009: 64-73
Informal and Other Publications
- 2024
- [i13]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 abs/2402.09025 (2024) - [i12]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 abs/2402.10076 (2024) - 2023
- [i11]Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park:
OWQ: Lessons learned from activation outliers for weight quantization in large language models. CoRR abs/2306.02272 (2023) - [i10]Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park:
Temporal Dynamic Quantization for Diffusion Models. CoRR abs/2306.02316 (2023) - [i9]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 abs/2307.01193 (2023) - 2022
- [i8]Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim:
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. CoRR abs/2204.07439 (2022) - 2020
- [i7]Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim:
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations. CoRR abs/2002.06517 (2020) - [i6]Eunho Koo, Hyungjun Kim:
Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression. CoRR abs/2009.03534 (2020) - [i5]Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim:
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution. CoRR abs/2012.00938 (2020) - 2019
- [i4]Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim:
BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function. CoRR abs/1903.09807 (2019) - [i3]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 abs/1907.10228 (2019) - 2018
- [i2]Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim:
Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators. CoRR abs/1811.02187 (2018) - 2017
- [i1]Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim:
Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. CoRR abs/1703.10642 (2017)
Coauthor Index
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