Jong Hwan Ko - RankMe

145 papers A* 15A 17B 7C 5Misc 4Journal 67Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Data Flow-Aware Weight Remapping for Efficient Fault Tolerance in ReRAM-Based Accelerators. ASP-DAC Hyeonsu Bang, Kang Eun Jeon, Jong Hwan Ko
2026	—	`conf`	Learnable Center-Based Quantization for Efficient Analog PIM with Reduced ADC Precision. ASP-DAC Sangheum Yeon, Jong Hwan Ko
2026	J	`jnl`	MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Elastic LLMs. CoRR Dongwei Wang, Jinhee Kim, Seokho Han, Denis A. Gudovskiy, Yohei Nakata, Tomoyuki Okuno, KhayTze Peong, Kang Eun Jeon, Jong Hwan Ko, Yiran Chen, Huanrui Yang
2026	J	`jnl`	RUSH: Recursive and Scalable 3D Coarse to Fine Path Planning. IEEE Robotics Autom. Lett. Hwajung Lee, Daegeol Ko, Jaehyuk Hur, Junwon Lee, Seongbo Ha, Jong Hwan Ko, Hyeonwoo Yu
2026	J	`jnl`	RUnQuant: High-resolution weight quantization via unanchored weight decomposition in column-wise granularity for CIM accelerators. J. Syst. Archit. Jiyoon Kim, Kang Eun Jeon, Yulhwa Kim, Jong Hwan Ko
2025	J	`jnl`	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. IEEE Internet Things J. Yongsoo Kim, Jaehyeon So, Chanwook Hwang, Wencan Cheng, Jaehyuk Choi, Jong Hwan Ko
2025	A	`conf`	Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators. DATE Jiyoon Kim, Kang Eun Jeon, Yulhwa Kim, Jong Hwan Ko
2025	J	`jnl`	Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators. CoRR Jiyoon Kim, Kang Eun Jeon, Yulhwa Kim, Jong Hwan Ko
2025	C	`conf`	Continual Test-Time Fine-Tuning of Frame-Based Style Transfer Network for Video Stream Data. VCIP Unki Park, Jong Hwan Ko
2025	J	`jnl`	DQN Trading System with limited API calls for Stocks with Large Trading Volume Per Second: Design and Real Market Implementation. KSII Trans. Internet Inf. Syst. Hyochan Kim, Jong Hwan Ko
2025	J	`jnl`	DiffO: Single-step Diffusion for Image Compression at Ultra-Low Bitrates. CoRR Chanung Park, Joo Chan Lee, Jong Hwan Ko
2025	A*	`conf`	Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech. ICML Taesoo Kim, Jinju Kim, Dongchan Kim, Jong Hwan Ko, Gyeong-Moon Park
2025	J	`jnl`	Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech. CoRR Taesoo Kim, Jinju Kim, Dongchan Kim, Jong Hwan Ko, Gyeong-Moon Park
2025	J	`jnl`	Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling. CoRR Jinhee Kim, Jae Jun An, Kang Eun Jeon, Jong Hwan Ko
2025	C	`conf`	Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems. ISCAS Chanwook Hwang, Biyan Zhou, Ye Ke, Vivek Mohan, Jong Hwan Ko, Arindam Basu
2025	J	`jnl`	Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems. CoRR Chanwook Hwang, Biyan Zhou, Ye Ke, Vivek Mohan, Jong Hwan Ko, Arindam Basu
2025	J	`jnl`	GAROS: Genetic algorithm-aided row-skipping for shift and duplicate kernel mapping in processing-in-memory architectures. J. Syst. Archit. Johnny Rhe, Kang Eun Jeon, Jong Hwan Ko
2025	J	`jnl`	Input/mapping precision controllable digital CIM with adaptive adder tree architecture for flexible DNN inference. J. Syst. Archit. Juhong Park, Johnny Rhe, Chanwook Hwang, Jaehyeon So, Jong Hwan Ko
2025	A	`conf`	Low-Rank Compression for IMC Arrays. DATE Kang Eun Jeon, Johnny Rhe, Jong Hwan Ko
2025	J	`jnl`	Low-Rank Compression for IMC Arrays. CoRR Kang Eun Jeon, Johnny Rhe, Jong Hwan Ko
2025	A	`conf`	MEMHD: Memory-Efficient Multi-Centroid Hyperdimensional Computing for Fully-Utilized In-Memory Computing Architectures. DATE Do Yeong Kang, Yeong Hwan Oh, Chanwook Hwang, Jinhee Kim, Kang Eun Jeon, Jong Hwan Ko
2025	J	`jnl`	MEMHD: Memory-Efficient Multi-Centroid Hyperdimensional Computing for Fully-Utilized In-Memory Computing Architectures. CoRR Do Yeong Kang, Yeong Hwan Oh, Chanwook Hwang, Jinhee Kim, Kang Eun Jeon, Jong Hwan Ko
2025	J	`jnl`	MSQ: Memory-Efficient Bit Sparsification Quantization. CoRR Seokho Han, Seoyeon Yoon, Jinhee Kim, Dongwei Wang, Kang Eun Jeon, Huanrui Yang, Jong Hwan Ko
2025	B	`conf`	Multi-Frame ISP: Enhancing Vision-Based Tasks with RAW and Infrared Videos. AVSS Ji Seok Kim, Jong Chul Ahn, Sang Min Kim, Jong Hwan Ko
2025	J	`jnl`	Optimized Minimal 3D Gaussian Splatting. CoRR Joo Chan Lee, Jong Hwan Ko, Eunbyung Park
2025	J	`jnl`	Optimized Minimal 4D Gaussian Splatting. CoRR Minseo Lee, Byeonghyeon Lee, Lucas Yunkyu Lee, Eunsoo Lee, Sangmin Kim, Seung Hyeon Song, Joo Chan Lee, Jong Hwan Ko, Jaesik Park, Eunbyung Park
2025	J	`jnl`	Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models. CoRR Tae-Young Lee, Juwon Seo, Jong Hwan Ko, Gyeong-Moon Park
2025	A	`conf`	Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays. ICCAD Kang Eun Jeon, Sangheum Yeon, Jinhee Kim, Hyeonsu Bang, Johnny Rhe, Jong Hwan Ko
2025	J	`jnl`	Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays. CoRR Kang Eun Jeon, Sangheum Yeon, Jinhee Kim, Hyeonsu Bang, Johnny Rhe, Jong Hwan Ko
2025	J	`jnl`	TESU-LLM: Training Speech-LLMs Without Speech via Unified Encoder Alignment. CoRR Taesoo Kim, Jong Hwan Ko
2025	A*	`conf`	Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability. CVPR Unki Park, Seongmoon Jeong, Youngchan Jang, Gyeong-Moon Park, Jong Hwan Ko
2025	A	`conf`	TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision. ISLPED Jinhee Kim, Seoyeon Yoon, Taeho Lee, Joo Chan Lee, Kang Eun Jeon, Jong Hwan Ko
2025	J	`jnl`	TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision. CoRR Jinhee Kim, Seoyeon Yoon, Taeho Lee, Joo Chan Lee, Kang Eun Jeon, Jong Hwan Ko
2024	J	`jnl`	A DNN partitioning framework with controlled lossy mechanisms for edge-cloud collaborative intelligence. Future Gener. Comput. Syst. Hyochan Kim, Ji Sub Choi, Jungrae Kim, Jong Hwan Ko
2024	—	`conf`	A Hybrid Precision Network with Efficient Processing Elements for 3D Hand Pose Estimation. ISOCC Jaehyeon So, Jong Hwan Ko
2024	—	`conf`	Adaptive Image Downscaling for Rate-Accuracy-Latency Optimization of Task-Target Image Compression. AICAS Hangyul Choi, Seongmoon Jeong, Sangwoon Kwak, Soon-Heung Jung, Jong Hwan Ko
2024	—	`conf`	An Efficient Ventricular Arrhythmias Detection on Microcontrollers with Optimized 1D CNN. AICAS Chanwook Hwang, Jaehyeon So, Johnny Rhe, Jiyoon Kim, Juhong Park, Kang Eun Jeon, Jong Hwan Ko
2024	—	`conf`	C-AFA: A Conditionally Approximate Full Adder for Efficient DNN Inference in CIM Arrays. ISOCC Juhong Park, Jong Hwan Ko
2024	A*	`conf`	Compact 3D Gaussian Representation for Radiance Field. CVPR Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park
2024	J	`jnl`	Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields. CoRR Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park
2024	—	`conf`	Continuous Memory Representation for Anomaly Detection. ECCV (51) Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko
2024	J	`jnl`	Continuous Memory Representation for Anomaly Detection. CoRR Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko
2024	—	`conf`	ConvMapSim: Modeling and Simulating Convolutional Weight Mapping for PIM Arrays. AICAS Kang Eun Jeon, Wooram Seo, Johnny Rhe, Jong Hwan Ko
2024	A*	`conf`	Coordinate-Aware Modulation for Neural Fields. ICLR Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park
2024	B	`conf`	DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection. IJCNN Changrok So, Simon S. Woo, Jong Hwan Ko
2024	J	`jnl`	EPS: Efficient Patch Sampling for Video Overfitting in Deep Super-Resolution Model Training. CoRR Yiying Wei, Hadi Amirpour, Jong Hwan Ko, Christian Timmerer
2024	C	`conf`	Energy-Efficient Video Streaming: A Study on Bit Depth and Color Subsampling. VCIP Hadi Amirpour, Lingfeng Qu, Jong Hwan Ko, Cosmin Stejerean, Christian Timmerer
2024	A*	`conf`	F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. ACM Multimedia Xiangyu Sun, Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Usman Ali, Eunbyung Park
2024	J	`jnl`	F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. CoRR Xiangyu Sun, Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Usman Ali, Eunbyung Park
2024	—	`conf`	HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation. ECCV (88) Wencan Cheng, Eunji Kim, Jong Hwan Ko
2024	J	`jnl`	HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation. CoRR Wencan Cheng, Eunji Kim, Jong Hwan Ko
2024	A*	`conf`	HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CVPR Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko
2024	J	`jnl`	HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CoRR Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko
2024	C	`conf`	KARS: Kernel-Grouping Aided Row-Skipping for SDK-based Weight Compression in PIM Arrays. ISCAS Juhong Park, Johnny Rhe, Jong Hwan Ko
2024	J	`jnl`	KERNTROL: Kernel Shape Control Toward Ultimate Memory Utilization for In-Memory Convolutional Weight Mapping. IEEE Trans. Circuits Syst. I Regul. Pap. Johnny Rhe, Kang Eun Jeon, Joo Chan Lee, Seongmoon Jeong, Jong Hwan Ko
2024	J	`jnl`	Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields. CoRR Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park
2024	—	`conf`	Row-Efficient Pruning for In-Memory Convolutional Weight Mapping. ISOCC Johnny Rhe, Jong Hwan Ko
2024	A*	`conf`	TraiNDSim: A Simulation Framework for Comprehensive Performance Evaluation of Neuromorphic Devices for On-Chip Training. DAC Donghyeok Heo, Hyeonsu Bang, Jong Hwan Ko
2023	J	`jnl`	Adaptive Channel Scheduling for Acceleration and Fine Control of RNN-Based Image Compression. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Sang Hoon Kim, Jong Hwan Ko
2023	—	`conf`	An Energy Efficient Sorting Architecture with Cell-Gating for Top-K Sorting on FPGA. MWSCAS Jaehyeon So, Yongsoo Kim, Chanwook Hwang, Jong Hwan Ko
2023	J	`jnl`	An overhead-free region-based JPEG framework for task-driven image compression. Pattern Recognit. Lett. Seonghye Jeong, Seongmoon Jeong, Simon S. Woo, Jong Hwan Ko
2023	J	`jnl`	Compact 3D Gaussian Representation for Radiance Field. CoRR Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park
2023	J	`jnl`	Coordinate-Aware Modulation for Neural Fields. CoRR Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park
2023	C	`conf`	DCR: Decomposition-Aware Column Re-Mapping for Stuck-At-Fault Tolerance in ReRAM Arrays. ICCD Hyeonsu Bang, Kang Eun Jeon, Johnny Rhe, Jong Hwan Ko
2023	J	`jnl`	Data-Driven Design of Electrically Conductive Nanocomposite Materials: A Case Study of Acrylonitrile-Butadiene-Styrene/Carbon Nanotube Binary Composites. Adv. Intell. Syst. Changrok So, Young-Shin Kim, Jong Hyuk Park, Gwan-Yeong Kim, Daniel Cha, Jong Hwan Ko, Boseok Kang
2023	J	`jnl`	Data-Driven Design of Electrically Conductive Nanocomposite Materials: A Case Study of Acrylonitrile-Butadiene-Styrene/Carbon Nanotube Binary Composites. Adv. Intell. Syst. Changrok So, Young-Shin Kim, Jong Hyuk Park, Gwan-Yeong Kim, Daniel Cha, Jong Hwan Ko, Boseok Kang
2023	—	`conf`	Dynamic Inference Acceleration of 3D Point Cloud Deep Neural Networks Using Point Density and Entropy. CVPR Workshops Gyudo Park, Soohyeok Kang, Wencan Cheng, Jong Hwan Ko
2023	A*	`conf`	FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. ACM Multimedia Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park
2023	A*	`conf`	HandR ICCV Wencan Cheng, Jong Hwan Ko
2023	A	`conf`	Kernel Shape Control for Row-Efficient Convolution on Processing-In-Memory Arrays. ICCAD Johnny Rhe, Kang Eun Jeon, Joo Chan Lee, Seongmoon Jeong, Jong Hwan Ko
2023	A*	`conf`	Masked Wavelet Representation for Compact Neural Radiance Fields. CVPR Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park
2023	A*	`conf`	Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields. NeurIPS Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park
2023	A*	`conf`	Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation. ICCV Wencan Cheng, Jong Hwan Ko
2023	A	`conf`	PAIRS: Pruning-AIded Row-Skipping for SDK-Based Convolutional Weight Mapping in Processing-In-Memory Architectures. ISLPED Johnny Rhe, Kang Eun Jeon, Jong Hwan Ko
2023	—	`conf`	Rate-Controllable and Target-Dependent JPEG-Based Image Compression Using Feature Modulation. ICME Workshops Seongmoon Jeong, Kang Eun Jeon, Jong Hwan Ko
2023	Misc	`conf`	Regression to Classification: Waveform Encoding for Neural Field-Based Audio Signal Representation. ICASSP Taesoo Kim, Daniel Rho, Gahui Lee, Jaehan Park, Jong Hwan Ko
2023	J	`jnl`	Scalable Color Quantization for Task-centric Image Compression. ACM Trans. Multim. Comput. Commun. Appl. Jae Hyun Park, Sanghoon Kim, Joo Chan Lee, Jong Hwan Ko
2023	A	`conf`	Weight-Aware Activation Mapping for Energy-Efficient Convolution on PIM Arrays. ISLPED Kang Eun Jeon, Johnny Rhe, Hyeonsu Bang, Jong Hwan Ko
2022	J	`jnl`	A Reconfigurable Neural Architecture for Edge-Cloud Collaborative Real-Time Object Detection. IEEE Internet Things J. Joo Chan Lee, Yongwoo Kim, Sungtae Moon, Jong Hwan Ko
2022	Misc	`conf`	ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection. ICASSP Taesoo Kim, Jiho Chang, Jong Hwan Ko
2022	J	`jnl`	Adaptive weight-bit inversion for state error reduction for robust and efficient deep neural network inference using MLC NAND Flash. J. Syst. Archit. Jaehun Jang, Jong Hwan Ko
2022	—	`conf`	An Efficient Systolic Array with Variable Data Precision and Dimension Support. ISOCC Jaehyeon So, Jong Hwan Ko
2022	—	`conf`	Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation. ECCV (28) Wencan Cheng, Jong Hwan Ko
2022	J	`jnl`	Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation. CoRR Wencan Cheng, Jong Hwan Ko
2022	J	`jnl`	FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. CoRR Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park
2022	J	`jnl`	Masked Wavelet Representation for Compact Neural Radiance Fields. CoRR Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park
2022	J	`jnl`	Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU. IEEE Comput. Archit. Lett. Hoyong Jin, Donghun Jeong, Taewon Park, Jong Hwan Ko, Jungrae Kim
2022	A	`conf`	NAS-VAD: Neural Architecture Search for Voice Activity Detection. INTERSPEECH Daniel Rho, Jinhyeok Park, Jong Hwan Ko
2022	J	`jnl`	NAS-VAD: Neural Architecture Search for Voice Activity Detection. CoRR Daniel Rho, Jinhyeok Park, Jong Hwan Ko
2022	—	`conf`	Neural Residual Flow Fields for Efficient Video Representations. ACCV (2) Daniel Rho, Junwoo Cho, Jong Hwan Ko, Eunbyung Park
2022	J	`jnl`	Neural Residual Flow Fields for Efficient Video Representations. CoRR Daniel Rho, Junwoo Cho, Jong Hwan Ko, Eunbyung Park
2022	J	`jnl`	ORVAE: One-Class Residual Variational Autoencoder for Voice Activity Detection in Noisy Environment. Neural Process. Lett. Hasam Khalid, Shahroz Tariq, Taesoo Kim, Jong Hwan Ko, Simon S. Woo
2022	—	`conf`	Streamable Neural Fields. ECCV (20) Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park
2022	J	`jnl`	Streamable Neural Fields. CoRR Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park
2022	A	`conf`	VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures. DATE Johnny Rhe, Sungmin Moon, Jong Hwan Ko
2022	J	`jnl`	VWC-SDK: Convolutional Weight Mapping Using Shifted and Duplicated Kernel With Variable Windows and Channels. IEEE J. Emerg. Sel. Topics Circuits Syst. Johnny Rhe, Sungmin Moon, Jong Hwan Ko
2021	—	`conf`	A Charge-Domain Computation-In-Memory Macro with Versatile All-Around-Wire-Capacitor for Variable-Precision Computation and Array-Embedded DA/AD Conversions. ESSCIRC Gicheol Shin, Donguk Seo, Jaerok Kim, Johnny Rhe, EunYoung Lee, Seonho Kim, Soyoun Jeong, Jong Hwan Ko, Yoonmyung Lee
2021	—	`conf`	A Charge-Domain Computation-In-Memory Macro with Versatile All-Around-Wire-Capacitor for Variable-Precision Computation and Array-Embedded DA/AD Conversions. ESSDERC Gicheol Shin, Donguk Seo, Jaerok Kim, Johnny Rhe, EunYoung Lee, Seonho Kim, Soyoun Jeong, Jong Hwan Ko, Yoonmyung Lee
2021	J	`jnl`	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. EunYoung Lee, Taeyoung Han, Donguk Seo, Gicheol Shin, Jaerok Kim, Seonho Kim, Soyoun Jeong, Johnny Rhe, Jaehyun Park, Jong Hwan Ko, Yoonmyung Lee
2021	B	`conf`	A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference. AVSS Joo Chan Lee, Yongwoo Kim, Sungtae Moon, Jong Hwan Ko
2021	—	`conf`	A Sub-Milliwatt and Sub-Millisecond 3-D Gaze Estimator for Ultra Low-Power AR Applications. UbiComp/ISWC Adjunct Sungmin Moon, Chao Zhang, Sooill Park, Hui Zhang, Woo-Shik Kim, Jong Hwan Ko
2021	—	`conf`	A Weight-Sharing Autoencoder with Dynamic Quantization for Efficient Feature Compression. ICTC Ji Sub Choi, Jungrae Kim, Jong Hwan Ko
2021	—	`conf`	Acceleration of DNN-Based Video Object Detection Using Temporal Dependency of the Object Size. ICTC Jeong Yeop Yoo, Jong Hwan Ko
2021	—	`conf`	Application of Adversarial Domain Adaptation to Voice Activity Detection. IntelliSys (3) Taesoo Kim, Jong Hwan Ko
2021	J	`jnl`	Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things. Sensors Jeongsoo Park, Jungrae Kim, Jong Hwan Ko
2021	J	`jnl`	Binary-Classifiers-Enabled Filters for Semi-Supervised Learning. IEEE Access Teerath Kumar, Jinbae Park, Muhammad Salman Ali, A. F. M. Shahab Uddin, Jong Hwan Ko, Sung-Ho Bae
2021	A*	`conf`	HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. ICCV Wencan Cheng, Jae Hyun Park, Jong Hwan Ko
2021	J	`jnl`	HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. CoRR Wencan Cheng, Jae Hyun Park, Jong Hwan Ko
2021	—	`conf`	Robust Inspection of Micro-LED Chip Defects Using Unsupervised Anomaly Detection. ICTC Sooill Park, Jong Hwan Ko
2021	J	`jnl`	Segmentation of Points in the Future: Joint Segmentation and Prediction of a Point Cloud. IEEE Access Wencan Cheng, Jong Hwan Ko
2021	J	`jnl`	Target-Dependent Scalable Image Compression Using a Reconfigurable Recurrent Neural Network. IEEE Access Sang Hoon Kim, Jae Hyun Park, Jong Hwan Ko
2021	J	`jnl`	VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures. CoRR Johnny Rhe, Sungmin Moon, Jong Hwan Ko
2021	A	`conf`	WISER: Deep Neural Network Weight-bit Inversion for State Error Reduction in MLC NAND Flash. DATE Jaehun Jang, Jong Hwan Ko
2020	J	`jnl`	Dual Precision Deep Neural Network. CoRR Jae Hyun Park, Ji Sub Choi, Jong Hwan Ko
2020	—	`conf`	Dual-Precision Deep Neural Network. AIPR Jae Hyun Park, Ji Sub Choi, Jong Hwan Ko
2020	—	`conf`	VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu
2019	A	`conf`	A Camera with Brain - Embedding Machine Learning in 3D Sensors. DATE Burhan Ahmad Mudassar, Priyabrata Saha, Yun Long, Mohammad Faisal Amir, Evan Gebhardt, Taesik Na, Jong Hwan Ko, Marilyn Wolf, Saibal Mukhopadhyay
2019	J	`jnl`	CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control. IEEE J. Emerg. Sel. Topics Circuits Syst. Burhan Ahmad Mudassar, Priyabrata Saha, Yun Long, Mohammad Faisal Amir, Evan Gebhardt, Taesik Na, Jong Hwan Ko, Marilyn Wolf, Saibal Mukhopadhyay
2019	J	`jnl`	Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jong Hwan Ko, Duckhwan Kim, Taesik Na, Saibal Mukhopadhyay
2019	J	`jnl`	Energy Efficient and Side-Channel Secure Cryptographic Hardware for IoT-Edge Nodes. IEEE Internet Things J. Arvind Singh, Nikhil Chawla, Jong Hwan Ko, Monodeep Kar, Saibal Mukhopadhyay
2019	B	`conf`	Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. IJCNN Taesik Na, Minah Lee, Burhan Ahmad Mudassar, Priyabrata Saha, Jong Hwan Ko, Saibal Mukhopadhyay
2019	J	`jnl`	Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. CoRR Taesik Na, Minah Lee, Burhan Ahmad Mudassar, Priyabrata Saha, Jong Hwan Ko, Saibal Mukhopadhyay
2018	J	`jnl`	An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance. IEEE J. Emerg. Sel. Topics Circuits Syst. Jong Hwan Ko, Taesik Na, Saibal Mukhopadhyay
2018	Misc	`conf`	An Unsupervised Anomalous Event Detection Framework with Class Aware Source Separation. ICASSP Burhan Ahmad Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay
2018	—	`conf`	Cascade Adversarial Machine Learning Regularized with a Unified Embedding. ICLR (Poster) Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay
2018	B	`conf`	Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms. AVSS Jong Hwan Ko, Taesik Na, Mohammad Faisal Amir, Saibal Mukhopadhyay
2018	J	`jnl`	Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms. CoRR Jong Hwan Ko, Taesik Na, Mohammad Faisal Amir, Saibal Mukhopadhyay
2018	A*	`conf`	Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance. DAC Burhan Ahmad Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay
2018	Misc	`conf`	Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection. ICASSP Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
2018	—	`—`	Resource-aware and robust image processing for intelligent sensor systems. Jong Hwan Ko
2018	A	`conf`	The CAMEL approach to stacked sensor smart cameras. DATE Saibal Mukhopadhyay, Marilyn Wolf, Mohammed Faisal Amir, Evan Gebhardt, Jong Hwan Ko, Jaeha Kung, Burhan Ahmad Musassar
2017	J	`jnl`	A Single-Chip Image Sensor Node With Energy Harvesting From a CMOS Pixel Array. IEEE Trans. Circuits Syst. I Regul. Pap. Jong Hwan Ko, Mohammad Faisal Amir, Khondker Zakir Ahmed, Taesik Na, Saibal Mukhopadhyay
2017	A	`conf`	Adaptive weight compression for memory-efficient neural networks. DATE Jong Hwan Ko, Duckhwan Kim, Taesik Na, Jaeha Kung, Saibal Mukhopadhyay
2017	J	`jnl`	Cascade Adversarial Machine Learning Regularized with a Unified Embedding. CoRR Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay
2017	J	`jnl`	Clock Data Compensation Aware Digital Circuits Design for Voltage Margin Reduction. IEEE Trans. Circuits Syst. I Regul. Pap. Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay
2017	A	`conf`	Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation. DATE Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay
2017	A*	`conf`	Design of an Energy-Efficient Accelerator for Training of Convolutional Neural Networks using Frequency-Domain Computation. DAC Jong Hwan Ko, Burhan Ahmad Mudassar, Taesik Na, Saibal Mukhopadhyay
2017	—	`conf`	Energy-efficient neural image processing for Internet-of-Things edge devices. MWSCAS Jong Hwan Ko, Yun Long, Mohammad Faisal Amir, Duckhwan Kim, Jaeha Kung, Taesik Na, Amit Ranjan Trivedi, Saibal Mukhopadhyay
2017	B	`conf`	On-chip training of recurrent neural networks with limited numerical precision. IJCNN Taesik Na, Jong Hwan Ko, Jaeha Kung, Saibal Mukhopadhyay
2017	J	`jnl`	Precision Scaling of Neural Networks for Efficient Audio Processing. CoRR Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
2016	A	`conf`	An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms. ISLPED Jong Hwan Ko, Saibal Mukhopadhyay
2016	B	`conf`	An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance. AVSS Jong Hwan Ko, Taesik Na, Saibal Mukhopadhyay
2016	—	`conf`	Reconfigurable 96×128 active pixel sensor with 2.1µW/mm ESSCIRC Khondker Zakir Ahmed, Mohammad Faisal Amir, Jong Hwan Ko, Saibal Mukhopadhyay
2015	J	`jnl`	An Energy-Efficient Wireless Video Sensor Node for Moving Object Surveillance. IEEE Trans. Multi Scale Comput. Syst. Jong Hwan Ko, Burhan Ahmad Mudassar, Saibal Mukhopadhyay
2015	A	`conf`	Exploring power attack protection of resource constrained encryption engines using integrated low-drop-out regulators. ISLPED Arvind Singh, Monodeep Kar, Jong Hwan Ko, Saibal Mukhopadhyay