Jong Hwan Ko
Orcid: 0000-0003-4434-4318
According to our database1,
Jong Hwan Ko
authored at least 87 papers
between 2015 and 2024.
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Bibliography
2024
A DNN partitioning framework with controlled lossy mechanisms for edge-cloud collaborative intelligence.
Future Gener. Comput. Syst., 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
A Hybrid Precision Network with Efficient Processing Elements for 3D Hand Pose Estimation.
Proceedings of the 21st International SoC Design Conference, 2024
Proceedings of the 21st International SoC Design Conference, 2024
C-AFA: A Conditionally Approximate Full Adder for Efficient DNN Inference in CIM Arrays.
Proceedings of the 21st International SoC Design Conference, 2024
KARS: Kernel-Grouping Aided Row-Skipping for SDK-based Weight Compression in PIM Arrays.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
TraiNDSim: A Simulation Framework for Comprehensive Performance Evaluation of Neuromorphic Devices for On-Chip Training.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
An Efficient Ventricular Arrhythmias Detection on Microcontrollers with Optimized 1D CNN.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
Adaptive Image Downscaling for Rate-Accuracy-Latency Optimization of Task-Target Image Compression.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
2023
Adaptive Channel Scheduling for Acceleration and Fine Control of RNN-Based Image Compression.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., September, 2023
Data-Driven Design of Electrically Conductive Nanocomposite Materials: A Case Study of Acrylonitrile-Butadiene-Styrene/Carbon Nanotube Binary Composites.
Adv. Intell. Syst., February, 2023
Pattern Recognit. Lett., January, 2023
ACM Trans. Multim. Comput. Commun. Appl., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
PAIRS: Pruning-AIded Row-Skipping for SDK-Based Convolutional Weight Mapping in Processing-In-Memory Architectures.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023
Rate-Controllable and Target-Dependent JPEG-Based Image Compression Using Feature Modulation.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023
HandR<sup>2</sup>N<sup>2</sup>: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
DCR: Decomposition-Aware Column Re-Mapping for Stuck-At-Fault Tolerance in ReRAM Arrays.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Regression to Classification: Waveform Encoding for Neural Field-Based Audio Signal Representation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Dynamic Inference Acceleration of 3D Point Cloud Deep Neural Networks Using Point Density and Entropy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
ORVAE: One-Class Residual Variational Autoencoder for Voice Activity Detection in Noisy Environment.
Neural Process. Lett., 2022
Adaptive weight-bit inversion for state error reduction for robust and efficient deep neural network inference using MLC NAND Flash.
J. Syst. Archit., 2022
A Reconfigurable Neural Architecture for Edge-Cloud Collaborative Real-Time Object Detection.
IEEE Internet Things J., 2022
VWC-SDK: Convolutional Weight Mapping Using Shifted and Duplicated Kernel With Variable Windows and Channels.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022
Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU.
IEEE Comput. Archit. Lett., 2022
Proceedings of the 19th International SoC Design Conference, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
A Charge-Domain Scalable-Weight In-Memory Computing Macro With Dual-SRAM Architecture for Precision-Scalable DNN Accelerators.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things.
Sensors, 2021
Target-Dependent Scalable Image Compression Using a Reconfigurable Recurrent Neural Network.
IEEE Access, 2021
Segmentation of Points in the Future: Joint Segmentation and Prediction of a Point Cloud.
IEEE Access, 2021
Proceedings of the Intelligent Systems and Applications, 2021
Acceleration of DNN-Based Video Object Detection Using Temporal Dependency of the Object Size.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
A Weight-Sharing Autoencoder with Dynamic Quantization for Efficient Feature Compression.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
A Sub-Milliwatt and Sub-Millisecond 3-D Gaze Estimator for Ultra Low-Power AR Applications.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
A Charge-Domain Computation-In-Memory Macro with Versatile All-Around-Wire-Capacitor for Variable-Precision Computation and Array-Embedded DA/AD Conversions.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021
WISER: Deep Neural Network Weight-bit Inversion for State Error Reduction in MLC NAND Flash.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference.
Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021
2020
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
Proceedings of the AIPR 2020: 3rd International Conference on Artificial Intelligence and Pattern Recognition, 2020
2019
Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
IEEE Internet Things J., 2019
CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
2018
An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
An Unsupervised Anomalous Event Detection Framework with Class Aware Source Separation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018
Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance.
Proceedings of the 55th Annual Design Automation Conference, 2018
Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018
2017
IEEE Trans. Circuits Syst. I Regul. Pap., 2017
IEEE Trans. Circuits Syst. I Regul. Pap., 2017
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
Design of an Energy-Efficient Accelerator for Training of Convolutional Neural Networks using Frequency-Domain Computation.
Proceedings of the 54th Annual Design Automation Conference, 2017
2016
An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016
Reconfigurable 96×128 active pixel sensor with 2.1µW/mm<sup>2</sup> power generation and regulated multi-domain power delivery for self-powered imaging.
Proceedings of the ESSCIRC Conference 2016: 42<sup>nd</sup> European Solid-State Circuits Conference, 2016
An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance.
Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016
2015
IEEE Trans. Multi Scale Comput. Syst., 2015
Exploring power attack protection of resource constrained encryption engines using integrated low-drop-out regulators.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2015