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ORCIDHyungjun Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c28]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- [c27]Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim:
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. ICML 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
- [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) - [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 - [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
- [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) - [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 - [i8]Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim:
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. CoRR abs/2204.07439 (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) - [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
- [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) - [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 - [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)
2010 – 2019
- 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) - [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- - [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
- [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) - [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 - [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
- [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) - [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) - 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) - [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 - 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)
2000 – 2009
- 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 - 2004
- [j1]Hyungjun Kim:
Population monotonic rules for fair allocation problems. Soc. Choice Welf. 23(1): 59-70 (2004)
Coauthor Index
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