Exploring power attack protection of resource constrained encryption engines using integrated low-drop-out regulators. - Arvind Singh; Monodeep Kar; Jong Hwan Ko; Saibal Mukhopadhyay (ISLPED, 2015)

An Energy-Efficient Wireless Video Sensor Node for Moving Object Surveillance. - Jong Hwan Ko; Burhan Ahmad Mudassar; Saibal Mukhopadhyay (IEEE Trans. Multi Scale Comput. Syst., 2015)

An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance. - Jong Hwan Ko; Taesik Na; Saibal Mukhopadhyay (AVSS, 2016)

Reconfigurable 96×128 active pixel sensor with 2.1µW/mm2 power generation and regulated multi-domain power delivery for self-powered imaging. - Khondker Zakir Ahmed 001; Mohammad Faisal Amir; Jong Hwan Ko; Saibal Mukhopadhyay (ESSCIRC, 2016)

An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms. - Jong Hwan Ko; Saibal Mukhopadhyay (ISLPED, 2016)

Design of an Energy-Efficient Accelerator for Training of Convolutional Neural Networks using Frequency-Domain Computation. - Jong Hwan Ko; Burhan Ahmad Mudassar; Taesik Na; Saibal Mukhopadhyay (DAC, 2017)

Adaptive weight compression for memory-efficient neural networks. - Jong Hwan Ko; Duckhwan Kim 001; Taesik Na; Jaeha Kung; Saibal Mukhopadhyay (DATE, 2017)

Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation. - Taesik Na; Jong Hwan Ko; Saibal Mukhopadhyay (DATE, 2017)

On-chip training of recurrent neural networks with limited numerical precision. - Taesik Na; Jong Hwan Ko; Jaeha Kung; Saibal Mukhopadhyay (IJCNN, 2017)

Energy-efficient neural image processing for Internet-of-Things edge devices. - Jong Hwan Ko; Yun Long; Mohammad Faisal Amir; Duckhwan Kim 001; Jaeha Kung; Taesik Na; Amit Ranjan Trivedi; Saibal Mukhopadhyay (MWSCAS, 2017)

Precision Scaling of Neural Networks for Efficient Audio Processing. - Jong Hwan Ko; Josh Fromm; Matthai Philipose; Ivan Tashev; Shuayb Zarar (CoRR, 2017)

A Single-Chip Image Sensor Node With Energy Harvesting From a CMOS Pixel Array. - Jong Hwan Ko; Mohammad Faisal Amir; Khondker Zakir Ahmed 001; Taesik Na; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Clock Data Compensation Aware Digital Circuits Design for Voltage Margin Reduction. - Taesik Na; Jong Hwan Ko; Saibal Mukhopadhyay (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms. - Jong Hwan Ko; Taesik Na; Mohammad Faisal Amir; Saibal Mukhopadhyay (AVSS, 2018)

Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance. - Burhan Ahmad Mudassar; Jong Hwan Ko; Saibal Mukhopadhyay (DAC, 2018)

The CAMEL approach to stacked sensor smart cameras. - Saibal Mukhopadhyay; Marilyn Wolf; Mohammed Faisal Amir; Evan Gebhardt; Jong Hwan Ko; Jaeha Kung; Burhan Ahmad Musassar (DATE, 2018)

Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection. - Jong Hwan Ko; Josh Fromm; Matthai Philipose; Ivan Tashev; Shuayb Zarar (ICASSP, 2018)

An Unsupervised Anomalous Event Detection Framework with Class Aware Source Separation. - Burhan Ahmad Mudassar; Jong Hwan Ko; Saibal Mukhopadhyay (ICASSP, 2018)

Cascade Adversarial Machine Learning Regularized with a Unified Embedding. - Taesik Na; Jong Hwan Ko; Saibal Mukhopadhyay (ICLR (Poster), 2018)

An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance. - Jong Hwan Ko; Taesik Na; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

Resource-aware and robust image processing for intelligent sensor systems. - Jong Hwan Ko (2018)

A Camera with Brain - Embedding Machine Learning in 3D Sensors. - Burhan Ahmad Mudassar; Priyabrata Saha; Yun Long; Mohammad Faisal Amir; Evan Gebhardt; Taesik Na; Jong Hwan Ko; Marilyn Wolf; Saibal Mukhopadhyay (DATE, 2019)

Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. - Taesik Na; Minah Lee; Burhan Ahmad Mudassar; Priyabrata Saha; Jong Hwan Ko; Saibal Mukhopadhyay (IJCNN, 2019)

CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control. - Burhan Ahmad Mudassar; Priyabrata Saha; Yun Long; Mohammad Faisal Amir; Evan Gebhardt; Taesik Na; Jong Hwan Ko; Marilyn Wolf; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Energy Efficient and Side-Channel Secure Cryptographic Hardware for IoT-Edge Nodes. - Arvind Singh; Nikhil Chawla; Jong Hwan Ko; Monodeep Kar; Saibal Mukhopadhyay (IEEE Internet Things J., 2019)

Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression. - Jong Hwan Ko; Duckhwan Kim 001; Taesik Na; Saibal Mukhopadhyay (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Dual-Precision Deep Neural Network. - Jae Hyun Park 012; Ji Sub Choi; Jong Hwan Ko (AIPR, 2020)

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Apostolos Axenopoulos; Arne Schumann; Athanasios Psaltis; Ayush Jain; et al. (ECCV Workshops (4), 2020)

A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference. - Joo Chan Lee; Yongwoo Kim; Sungtae Moon; Jong Hwan Ko (AVSS, 2021)

WISER: Deep Neural Network Weight-bit Inversion for State Error Reduction in MLC NAND Flash. - Jaehun Jang; Jong Hwan Ko (DATE, 2021)

A Charge-Domain Computation-In-Memory Macro with Versatile All-Around-Wire-Capacitor for Variable-Precision Computation and Array-Embedded DA/AD Conversions. - Gicheol Shin; Donguk Seo; Jaerok Kim; Johnny Rhe; Eunyoung Lee; Seonho Kim; Soyoun Jeong; Jong Hwan Ko; Yoonmyung Lee (ESSDERC, 2021)

A Sub-Milliwatt and Sub-Millisecond 3-D Gaze Estimator for Ultra Low-Power AR Applications. - Sungmin Moon; Chao Zhang; Sooill Park; Hui Zhang 093; Woo-Shik Kim; Jong Hwan Ko (UbiComp/ISWC Adjunct, 2021)

HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. - Wencan Cheng; Jae Hyun Park 012; Jong Hwan Ko (ICCV, 2021)

A Weight-Sharing Autoencoder with Dynamic Quantization for Efficient Feature Compression. - Ji Sub Choi; Jungrae Kim; Jong Hwan Ko (ICTC, 2021)

Robust Inspection of Micro-LED Chip Defects Using Unsupervised Anomaly Detection. - Sooill Park; Jong Hwan Ko (ICTC, 2021)

Acceleration of DNN-Based Video Object Detection Using Temporal Dependency of the Object Size. - Jeong Yeop Yoo; Jong Hwan Ko (ICTC, 2021)

Application of Adversarial Domain Adaptation to Voice Activity Detection. - TaeSoo Kim; Jong Hwan Ko (IntelliSys (3), 2021)

Segmentation of Points in the Future: Joint Segmentation and Prediction of a Point Cloud. - Wencan Cheng; Jong Hwan Ko (IEEE Access, 2021)

Target-Dependent Scalable Image Compression Using a Reconfigurable Recurrent Neural Network. - Sang Hoon Kim; Jae Hyun Park 012; Jong Hwan Ko (IEEE Access, 2021)

Binary-Classifiers-Enabled Filters for Semi-Supervised Learning. - Teerath Kumar; Jinbae Park; Muhammad Salman Ali; A. F. M. Shahab Uddin; Jong Hwan Ko; Sung-Ho Bae (IEEE Access, 2021)

Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things. - Jeongsoo Park 007; Jungrae Kim; Jong Hwan Ko (Sensors, 2021)

A Charge-Domain Scalable-Weight In-Memory Computing Macro With Dual-SRAM Architecture for Precision-Scalable DNN Accelerators. - Eunyoung Lee; Taeyoung Han; Donguk Seo; Gicheol Shin; Jaerok Kim; Seonho Kim; Soyoun Jeong; Johnny Rhe; Jaehyun Park 012; Jong Hwan Ko; Yoonmyung Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Neural Residual Flow Fields for Efficient Video Representations. - Daniel Rho; Junwoo Cho; Jong Hwan Ko; Eunbyung Park (ACCV (2), 2022)

VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures. - Johnny Rhe; Sungmin Moon; Jong Hwan Ko (DATE, 2022)

Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation. - Wencan Cheng; Jong Hwan Ko (ECCV (28), 2022)

Streamable Neural Fields. - Junwoo Cho; Seungtae Nam; Daniel Rho; Jong Hwan Ko; Eunbyung Park (ECCV (20), 2022)

ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection. - Taesoo Kim; Jiho Chang; Jong Hwan Ko (ICASSP, 2022)

NAS-VAD: Neural Architecture Search for Voice Activity Detection. - Daniel Rho; Jinhyeok Park; Jong Hwan Ko (INTERSPEECH, 2022)

An Efficient Systolic Array with Variable Data Precision and Dimension Support. - Jaehyeon So; Jong Hwan Ko (ISOCC, 2022)

Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU. - Hoyong Jin; Donghun Jeong; Taewon Park; Jong Hwan Ko; Jungrae Kim (IEEE Comput. Archit. Lett., 2022)

VWC-SDK: Convolutional Weight Mapping Using Shifted and Duplicated Kernel With Variable Windows and Channels. - Johnny Rhe; Sungmin Moon; Jong Hwan Ko (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

A Reconfigurable Neural Architecture for Edge-Cloud Collaborative Real-Time Object Detection. - Joo Chan Lee; Yongwoo Kim; Sungtae Moon; Jong Hwan Ko (IEEE Internet Things J., 2022)

Adaptive weight-bit inversion for state error reduction for robust and efficient deep neural network inference using MLC NAND Flash. - Jaehun Jang; Jong Hwan Ko (J. Syst. Archit., 2022)

ORVAE: One-Class Residual Variational Autoencoder for Voice Activity Detection in Noisy Environment. - Hasam Khalid; Shahroz Tariq; TaeSoo Kim; Jong Hwan Ko; Simon S. Woo (Neural Process. Lett., 2022)

Dynamic Inference Acceleration of 3D Point Cloud Deep Neural Networks Using Point Density and Entropy. - Gyudo Park; Soohyeok Kang; Wencan Cheng; Jong Hwan Ko (CVPR Workshops, 2023)

Masked Wavelet Representation for Compact Neural Radiance Fields. - Daniel Rho; Byeonghyeon Lee; Seungtae Nam; Joo Chan Lee; Jong Hwan Ko; Eunbyung Park (CVPR, 2023)

Regression to Classification: Waveform Encoding for Neural Field-Based Audio Signal Representation. - TaeSoo Kim; Daniel Rho; Gahui Lee; JaeHan Park; Jong Hwan Ko (ICASSP, 2023)

Kernel Shape Control for Row-Efficient Convolution on Processing-In-Memory Arrays. - Johnny Rhe; Kang Eun Jeon; Joo Chan Lee; Seongmoon Jeong; Jong Hwan Ko (ICCAD, 2023)

DCR: Decomposition-Aware Column Re-Mapping for Stuck-At-Fault Tolerance in ReRAM Arrays. - Hyeonsu Bang; Kang Eun Jeon; Johnny Rhe; Jong Hwan Ko (ICCD, 2023)

Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation. - Wencan Cheng; Jong Hwan Ko (ICCV, 2023)

HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network. - Wencan Cheng; Jong Hwan Ko (ICCV, 2023)

Rate-Controllable and Target-Dependent JPEG-Based Image Compression Using Feature Modulation. - Seongmoon Jeong; Kang Eun Jeon; Jong Hwan Ko (ICME Workshops, 2023)

Weight-Aware Activation Mapping for Energy-Efficient Convolution on PIM Arrays. - Kang Eun Jeon; Johnny Rhe; Hyeonsu Bang; Jong Hwan Ko (ISLPED, 2023)

PAIRS: Pruning-AIded Row-Skipping for SDK-Based Convolutional Weight Mapping in Processing-In-Memory Architectures. - Johnny Rhe; Kang Eun Jeon; Jong Hwan Ko (ISLPED, 2023)

FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. - Joo Chan Lee; Daniel Rho; Jong Hwan Ko; Eunbyung Park (ACM Multimedia, 2023)

An Energy Efficient Sorting Architecture with Cell-Gating for Top-K Sorting on FPGA. - Jaehyeon So; Yongsoo Kim; Chanwook Hwang; Jong Hwan Ko (MWSCAS, 2023)

Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields. - Seungtae Nam; Daniel Rho; Jong Hwan Ko; Eunbyung Park (NeurIPS, 2023)

Scalable Color Quantization for Task-centric Image Compression. - Jae Hyun Park 012; Sanghoon Kim; Joo Chan Lee; Jong Hwan Ko (ACM Trans. Multim. Comput. Commun. Appl., 2023)

An overhead-free region-based JPEG framework for task-driven image compression. - Seonghye Jeong; Seongmoon Jeong; Simon S. Woo; Jong Hwan Ko (Pattern Recognit. Lett., 2023)

Data-Driven Design of Electrically Conductive Nanocomposite Materials: A Case Study of Acrylonitrile-Butadiene-Styrene/Carbon Nanotube Binary Composites. - Changrok So; Young-Shin Kim; Jong Hyuk Park 005; Gwan-Yeong Kim; Daniel Cha; Jong Hwan Ko; Boseok Kang (Adv. Intell. Syst., 2023)

Adaptive Channel Scheduling for Acceleration and Fine Control of RNN-Based Image Compression. - Sang Hoon Kim; Jong Hwan Ko (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

Adaptive Image Downscaling for Rate-Accuracy-Latency Optimization of Task-Target Image Compression. - Hangyul Choi; Seongmoon Jeong; Sangwoon Kwak; Soon-Heung Jung; Jong Hwan Ko (AICAS, 2024)

An Efficient Ventricular Arrhythmias Detection on Microcontrollers with Optimized 1D CNN. - Chanwook Hwang; Jaehyeon So; Johnny Rhe; Jiyoon Kim; Juhong Park; Kang Eun Jeon; Jong Hwan Ko (AICAS, 2024)

ConvMapSim: Modeling and Simulating Convolutional Weight Mapping for PIM Arrays. - Kang Eun Jeon; Wooram Seo; Johnny Rhe; Jong Hwan Ko (AICAS, 2024)

HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. - Wencan Cheng; Hao Tang 005; Luc Van Gool; Jong Hwan Ko (CVPR, 2024)

Compact 3D Gaussian Representation for Radiance Field. - Joo Chan Lee; Daniel Rho; Xiangyu Sun; Jong Hwan Ko; Eunbyung Park (CVPR, 2024)

TraiNDSim: A Simulation Framework for Comprehensive Performance Evaluation of Neuromorphic Devices for On-Chip Training. - Donghyeok Heo; Hyeonsu Bang; Jong Hwan Ko (DAC, 2024)

HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation. - Wencan Cheng; Eunji Kim; Jong Hwan Ko (ECCV (88), 2024)

Continuous Memory Representation for Anomaly Detection. - Joo Chan Lee; Taejune Kim; Eunbyung Park; Simon S. Woo; Jong Hwan Ko (ECCV (51), 2024)

Coordinate-Aware Modulation for Neural Fields. - Joo Chan Lee; Daniel Rho; Seungtae Nam; Jong Hwan Ko; Eunbyung Park (ICLR, 2024)

DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection. - Changrok So; Simon S. Woo; Jong Hwan Ko (IJCNN, 2024)

KARS: Kernel-Grouping Aided Row-Skipping for SDK-based Weight Compression in PIM Arrays. - Juhong Park; Johnny Rhe; Jong Hwan Ko (ISCAS, 2024)

C-AFA: A Conditionally Approximate Full Adder for Efficient DNN Inference in CIM Arrays. - Juhong Park; Jong Hwan Ko (ISOCC, 2024)

Row-Efficient Pruning for In-Memory Convolutional Weight Mapping. - Johnny Rhe; Jong Hwan Ko (ISOCC, 2024)

A Hybrid Precision Network with Efficient Processing Elements for 3D Hand Pose Estimation. - Jaehyeon So; Jong Hwan Ko (ISOCC, 2024)

F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. - Xiangyu Sun; Joo Chan Lee; Daniel Rho; Jong Hwan Ko; Usman Ali 006; Eunbyung Park (ACM Multimedia, 2024)

Energy-Efficient Video Streaming: A Study on Bit Depth and Color Subsampling. - Hadi Amirpour; Lingfeng Qu; Jong Hwan Ko; Cosmin Stejerean; Christian Timmerer (VCIP, 2024)

Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields. - Joo Chan Lee; Daniel Rho; Xiangyu Sun; Jong Hwan Ko; Eunbyung Park (CoRR, 2024)

EPS: Efficient Patch Sampling for Video Overfitting in Deep Super-Resolution Model Training. - Yiying Wei; Hadi Amirpour; Jong Hwan Ko; Christian Timmerer (CoRR, 2024)

A DNN partitioning framework with controlled lossy mechanisms for edge-cloud collaborative intelligence. - Hyochan Kim; Ji Sub Choi; Jungrae Kim; Jong Hwan Ko (Future Gener. Comput. Syst., 2024)

KERNTROL: Kernel Shape Control Toward Ultimate Memory Utilization for In-Memory Convolutional Weight Mapping. - Johnny Rhe; Kang Eun Jeon; Joo Chan Lee; Seongmoon Jeong; Jong Hwan Ko (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability. - Unki Park; Seongmoon Jeong; Youngchan Jang; Gyeong-Moon Park; Jong Hwan Ko (CVPR, 2025)

Low-Rank Compression for IMC Arrays. - Kang Eun Jeon; Johnny Rhe; Jong Hwan Ko (DATE, 2025)

MEMHD: Memory-Efficient Multi-Centroid Hyperdimensional Computing for Fully-Utilized In-Memory Computing Architectures. - Do Yeong Kang; Yeong Hwan Oh; Chanwook Hwang; Jinhee Kim; Kang Eun Jeon; Jong Hwan Ko (DATE, 2025)

Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators. - Jiyoon Kim; Kang Eun Jeon; Yulhwa Kim; Jong Hwan Ko (DATE, 2025)

Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems. - Chanwook Hwang; Biyan Zhou; Ye Ke; Vivek Mohan; Jong Hwan Ko; Arindam Basu (ISCAS, 2025)

Input/mapping precision controllable digital CIM with adaptive adder tree architecture for flexible DNN inference. - Juhong Park; Johnny Rhe; Chanwook Hwang; Jaehyeon So; Jong Hwan Ko (J. Syst. Archit., 2025)

GAROS: Genetic algorithm-aided row-skipping for shift and duplicate kernel mapping in processing-in-memory architectures. - Johnny Rhe; Kang Eun Jeon; Jong Hwan Ko (J. Syst. Archit., 2025)

An FPGA-Based Energy-Efficient Real-Time Hand Pose Estimation System With an Integrated Image Signal Processor for Indirect 3-D Time-of-Flight Sensors. - Yongsoo Kim; Jaehyeon So; Chanwook Hwang; Wencan Cheng; Jaehyuk Choi 001; Jong Hwan Ko (IEEE Internet Things J., 2025)

Optimized Minimal 3D Gaussian Splatting. - Joo Chan Lee; Jong Hwan Ko; Eunbyung Park (CoRR, 2025)

DQN Trading System with limited API calls for Stocks with Large Trading Volume Per Second: Design and Real Market Implementation. - Hyochan Kim; Jong Hwan Ko (KSII Trans. Internet Inf. Syst., 2025)

TESU-LLM: Training Speech-LLMs Without Speech via Unified Encoder Alignment. - Taesoo Kim; Jong Hwan Ko (CoRR, 2025)

TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision. - Jinhee Kim; Seoyeon Yoon; Taeho Lee; Joo Chan Lee; Kang Eun Jeon; Jong Hwan Ko (CoRR, 2025)

DiffO: Single-step Diffusion for Image Compression at Ultra-Low Bitrates. - Chanung Park; Joo Chan Lee; Jong Hwan Ko (CoRR, 2025)

Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech. - Taesoo Kim; Jinju Kim; Dongchan Kim; Jong Hwan Ko; Gyeong-Moon Park (CoRR, 2025)

MSQ: Memory-Efficient Bit Sparsification Quantization. - Seokho Han; Seoyeon Yoon; Jinhee Kim; Dongwei Wang; Kang Eun Jeon; Huanrui Yang; Jong Hwan Ko (CoRR, 2025)

Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays. - Kang Eun Jeon; Sangheum Yeon; Jinhee Kim; Hyeonsu Bang; Johnny Rhe; Jong Hwan Ko (CoRR, 2025)