Hyungjun Kim

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2025
Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency.
CoRR, July, 2025

GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning.
CoRR, May, 2025

Debunking the CUDA Myth Towards GPU-based AI Systems.
CoRR, January, 2025

SADDLE: A runtime feedback control architecture for adaptive distributed deep learning in heterogeneous GPU clusters.
J. Syst. Archit., 2025

Investigating the Nature of PRM:SH3 Interactions Using Artificial Intelligence and Molecular Dynamics.
J. Chem. Inf. Model., 2025

Power Consumption Optimization of GPU Server With Offline Reinforcement Learning.
IEEE Access, 2025

Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel's Gaudi NPU for AI Model Serving.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2024
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference.
CoRR, 2024

RepTor: Re-parameterizable Temporal Convolution for Keyword Spotting via Differentiable Kernel Search.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Optimizing Traffic Allocation for Multi-replica Microservice Deployments in Edge Cloud.
Proceedings of the Service-Oriented Computing - 22nd International Conference, 2024

LARE-HPA: Co-optimizing Latency and Resource Efficiency for Horizontal Pod Autoscaling in Kubernetes.
Proceedings of the Service-Oriented Computing - 22nd International Conference, 2024

Noble Metal Nanoparticles Functionalized 2D Transition Metal Dichalcogenides by Atomic Layer Deposition for Enhanced Sensing Properties Toward Amino Acids.
Proceedings of the 17th International Conference on Sensing Technology, 2024

Fabrication of a 940 nm RuS2 Photodetector via Post-Sulfurization of Ru Thin Film Grown by Atomic Layer Deposition.
Proceedings of the 17th International Conference on Sensing Technology, 2024

SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Neural network models for atmospheric residue desulfurization using real plant data with novel training strategies.
Comput. Chem. Eng., September, 2023

Squeezing Large-Scale Diffusion Models for Mobile.
CoRR, 2023

OWQ: Lessons learned from activation outliers for weight quantization in large language models.
CoRR, 2023

Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Temporal Dynamic Quantization for Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks.
IEEE J. Solid State Circuits, 2022

Extreme Partial-Sum Quantization for Analog Computing-In-Memory Neural Network Accelerators.
ACM J. Emerg. Technol. Comput. Syst., 2022

TAIM: ternary activation in-memory computing hardware with 6T SRAM array.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Empirical strategy for stretching probability distribution in neural-network-based regression.
Neural Networks, 2021

SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System.
IEEE Access, 2021

Manifestation of Flexural Vibration Modes of Rails by the Phase-Based Magnification Method.
IEEE Access, 2021

Maximizing Parallel Activation of Word-Lines in MRAM-Based Binary Neural Network Accelerators.
IEEE Access, 2021

Mapping Binary ResNets on Computing-In-Memory Hardware with Low-bit ADCs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Energy-efficient charge sharing-based 8T2C SRAM in-memory accelerator for binary neural networks in 28nm CMOS.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

Single RRAM Cell-based In-Memory Accelerator Architecture for Binary Neural Networks.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
Reduced tactile acuity in chronic low back pain is linked with structural neuroplasticity in primary somatosensory cortex and is modulated by acupuncture therapy.
NeuroImage, 2020

Classification of Diagnosis of Alzheimer's Disease Based on Convolutional Layers of VGG16 Model using Speech Data.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Energy-efficient XNOR-free In-Memory BNN Accelerator with Input Distribution Regularization.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS.
Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

2019
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays.
CoRR, 2019

BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function.
CoRR, 2019

Safety Assessment Framework for Nuclear Power Plant Decommissioning Workers.
IEEE Access, 2019

Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

BitBlade: Area and Energy-Efficient Precision-Scalable Neural Network Accelerator with Bitwise Summation.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

In-memory batch-normalization for resistive memory based binary neural network hardware.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018
Warm Season Satellite Precipitation Biases for Different Cloud Types Over Western North Pacific.
IEEE Geosci. Remote. Sens. Lett., 2018

Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics.
ACM J. Emerg. Technol. Comput. Syst., 2018

A Knowledge-Based Real-Time Vision System for Monitoring the Inside of a Fluid Bed Heat Exchanger Chamber.
Int. J. Softw. Eng. Knowl. Eng., 2018

Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators.
CoRR, 2018

PREFER: PREdiction Model for Financial Entity Relation.
Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array.
Proceedings of the International Symposium on Low Power Electronics and Design, 2018

2017
Assessment of Chlorophyll-<i>a</i> Algorithms Considering Different Trophic Statuses and Optimal Bands.
Sensors, 2017

Evaluation of MERIS Chlorophyll-a Retrieval Processors in a Complex Turbid Lake Kasumigaura over a 10-Year Mission.
Remote. Sens., 2017

Multi-Algorithm Indices and Look-Up Table for Chlorophyll-a Retrieval in Highly Turbid Water Bodies Using Multispectral Data.
Remote. Sens., 2017

2016
Opinion polarity detection in Twitter data combining shrinkage regression and topic modeling.
J. Informetrics, 2016

2015
Use It or Lose It: Proactive, Deterministic Longevity in Future Chip Multiprocessors.
ACM Trans. Design Autom. Electr. Syst., 2015

Prediction of the reduction potential of tris(2, 2′-bipyridinyl)iron(III/II) derivatives.
J. Comput. Chem., 2015

2014
Spatial Locality Speculation to Reduce Energy in Chip-Multiprocessor Networks-on-Chip.
IEEE Trans. Computers, 2014

2013
A protocol to evaluate one electron redox potential for iron complexes.
J. Comput. Chem., 2013

Use it or lose it: wear-out and lifetime in future chip multiprocessors.
Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture, 2013

Power gating with block migration in chip-multiprocessor last-level caches.
Proceedings of the 2013 IEEE 31st International Conference on Computer Design, 2013

Dynamic voltage and frequency scaling for shared resources in multicore processor designs.
Proceedings of the 50th Annual Design Automation Conference 2013, 2013

2012
In-network Monitoring and Control Policy for DVFS of CMP Networks-on-Chip and Last Level Caches.
Proceedings of the 2012 Sixth IEEE/ACM International Symposium on Networks-on-Chip (NoCS), 2012

2011
Reducing network-on-chip energy consumption through spatial locality speculation.
Proceedings of the NOCS 2011, 2011

Toward global-scale data assimilation using SWOT: Requirements for global hydrodynamics models.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
A study on the relationship between Atlantic sea surface temperature and Amazonian greenness.
Ecol. Informatics, 2010

Leveraging Unused Cache Block Words to Reduce Power in CMP Interconnect.
IEEE Comput. Archit. Lett., 2010

2009
Recursive partitioning multicast: A bandwidth-efficient routing for Networks-on-Chip.
Proceedings of the Third International Symposium on Networks-on-Chips, 2009

2004
Population monotonic rules for fair allocation problems.
Soc. Choice Welf., 2004


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