| 2026 | ASPDAC | Data Flow-Aware Weight Remapping for Efficient Fault Tolerance in ReRAM-Based Accelerators. | Hyeonsu Bang, Kang Eun Jeon, Jong Hwan Ko |
| 2026 | ASPDAC | Learnable Center-Based Quantization for Efficient Analog PIM with Reduced ADC Precision. | Sangheum Yeon, Jong Hwan Ko |
| 2026 | CoNLL | Harnessing Linguistic Dissimilarity for Language Generalization on Unseen Low-Resource Varieties. | Jinju Kim, Haeji Jung, Youjeong Roh, Jong Hwan Ko, David R. Mortensen |
| 2026 | ISCA | RangeGuard: Efficient, Bounded Approximate Error Correction for Reliable DNNs. | Hanum Ko, Sangheum Yeon, Jong Hwan Ko, Jungrae Kim |
| 2026 | ISLPED | Dataflow-Preserving, Overhead-Free Weight Remapping for Fault-Tolerant ReRAM-Based In-Memory Computing. | Hyeonsu Bang, Jong Hwan Ko |
| 2026 | ISLPED | HyperSPACE: Sparse-Adder-Compatible Encoding for Efficient Hyperdimensional Computing on Digital CIM Arrays. | Yeong Hwan Oh, Do Yeong Kang, Juhong Park, Chanwook Hwang, Kang Eun Jeon, Jong Hwan Ko |
| 2026 | ISLPED | A Neural-Feedback-Driven Event Camera for Robust and Efficient Vision Processing. | Jaehyeon So, Houk Lee, Chanwook Hwang, Woosung Chung, Jaehyuk Choi, Jong Hwan Ko |
| 2026 | WACV | Single-step Diffusion for Image Compression at Ultra-Low Bitrates. | Chanung Park, Joo Chan Lee, Jong Hwan Ko |
| 2025 | AVSS | Multi-Frame ISP: Enhancing Vision-Based Tasks with RAW and Infrared Videos. | Ji Seok Kim, Jong Chul Ahn, Sang Min Kim, Jong Hwan Ko |
| 2025 | CVPR | Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability. | Unki Park, Seongmoon Jeong, Youngchan Jang, Gyeong-Moon Park, Jong Hwan Ko |
| 2025 | DATE | Low-Rank Compression for IMC Arrays. | Kang Eun Jeon, Johnny Rhe, Jong Hwan Ko |
| 2025 | DATE | 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 |
| 2025 | DATE | 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 |
| 2025 | ICCAD | 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 |
| 2025 | ICCV | MSQ: Memory-Efficient Bit Sparsification Quantization. | Seokho Han, Seoyeon Yoon, Jinhee Kim, Dongwei Wang, Kang Eun Jeon, Huanrui Yang, Jong Hwan Ko |
| 2025 | ICML | 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 |
| 2025 | ISCAS | 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 |
| 2025 | ISLPED | 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 |
| 2025 | VCIP | Continual Test-Time Fine-Tuning of Frame-Based Style Transfer Network for Video Stream Data. | Unki Park, Jong Hwan Ko |
| 2024 | CVPR | HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. | Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko |
| 2024 | CVPR | Compact 3D Gaussian Representation for Radiance Field. | Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park |
| 2024 | DAC | TraiNDSim: A Simulation Framework for Comprehensive Performance Evaluation of Neuromorphic Devices for On-Chip Training. | Donghyeok Heo, Hyeonsu Bang, Jong Hwan Ko |
| 2024 | ECCV | HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation. | Wencan Cheng, Eunji Kim, Jong Hwan Ko |
| 2024 | ECCV | Continuous Memory Representation for Anomaly Detection. | Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko |
| 2024 | ICLR | Coordinate-Aware Modulation for Neural Fields. | Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park |
| 2024 | IJCNN | DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection. | Changrok So, Simon S. Woo, Jong Hwan Ko |
| 2024 | ISCAS | KARS: Kernel-Grouping Aided Row-Skipping for SDK-based Weight Compression in PIM Arrays. | Juhong Park, Johnny Rhe, Jong Hwan Ko |
| 2024 | VCIP | Energy-Efficient Video Streaming: A Study on Bit Depth and Color Subsampling. | Hadi Amirpour, Lingfeng Qu, Jong Hwan Ko, Cosmin Stejerean, Christian Timmerer |
| 2023 | CVPR | Dynamic Inference Acceleration of 3D Point Cloud Deep Neural Networks Using Point Density and Entropy. | Gyudo Park, Soohyeok Kang, Wencan Cheng, Jong Hwan Ko |
| 2023 | CVPR | Masked Wavelet Representation for Compact Neural Radiance Fields. | Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park |
| 2023 | ICASSP | Regression to Classification: Waveform Encoding for Neural Field-Based Audio Signal Representation. | TaeSoo Kim, Daniel Rho, Gahui Lee, JaeHan Park, Jong Hwan Ko |
| 2023 | ICCAD | 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 |
| 2023 | ICCD | DCR: Decomposition-Aware Column Re-Mapping for Stuck-At-Fault Tolerance in ReRAM Arrays. | Hyeonsu Bang, Kang Eun Jeon, Johnny Rhe, Jong Hwan Ko |
| 2023 | ICCV | Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation. | Wencan Cheng, Jong Hwan Ko |
| 2023 | ICCV | HandR | Wencan Cheng, Jong Hwan Ko |
| 2023 | ISLPED | Weight-Aware Activation Mapping for Energy-Efficient Convolution on PIM Arrays. | Kang Eun Jeon, Johnny Rhe, Hyeonsu Bang, Jong Hwan Ko |
| 2023 | ISLPED | PAIRS: Pruning-AIded Row-Skipping for SDK-Based Convolutional Weight Mapping in Processing-In-Memory Architectures. | Johnny Rhe, Kang Eun Jeon, Jong Hwan Ko |
| 2022 | ACCV | Neural Residual Flow Fields for Efficient Video Representations. | Daniel Rho, Junwoo Cho, Jong Hwan Ko, Eunbyung Park |
| 2022 | DATE | VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures. | Johnny Rhe, Sungmin Moon, Jong Hwan Ko |
| 2022 | ECCV | Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation. | Wencan Cheng, Jong Hwan Ko |
| 2022 | ECCV | Streamable Neural Fields. | Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park |
| 2022 | ICASSP | ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection. | Taesoo Kim, Jiho Chang, Jong Hwan Ko |
| 2022 | Interspeech | NAS-VAD: Neural Architecture Search for Voice Activity Detection. | Daniel Rho, Jinhyeok Park, Jong Hwan Ko |
| 2021 | AVSS | A Splittable DNN-Based Object Detector for Edge-Cloud Collaborative Real-Time Video Inference. | Joo Chan Lee, Yongwoo Kim, Sungtae Moon, Jong Hwan Ko |
| 2021 | DATE | WISER: Deep Neural Network Weight-bit Inversion for State Error Reduction in MLC NAND Flash. | Jaehun Jang, Jong Hwan Ko |
| 2021 | ICCV | HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. | Wencan Cheng, Jae Hyun Park, Jong Hwan Ko |
| 2020 | ECCV | VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. | 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 | DATE | 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 |
| 2019 | IJCNN | 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 |
| 2018 | AVSS | 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 |
| 2018 | DAC | Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance. | Burhan Ahmad Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2018 | DATE | 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 |
| 2018 | ICASSP | Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection. | Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar |
| 2018 | ICASSP | An Unsupervised Anomalous Event Detection Framework with Class Aware Source Separation. | Burhan Ahmad Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2018 | ICLR | Cascade Adversarial Machine Learning Regularized with a Unified Embedding. | Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2017 | DAC | 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 |
| 2017 | DATE | Adaptive weight compression for memory-efficient neural networks. | Jong Hwan Ko, Duckhwan Kim, Taesik Na, Jaeha Kung, Saibal Mukhopadhyay |
| 2017 | DATE | Clock data compensation aware clock tree synthesis in digital circuits with adaptive clock generation. | Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay |
| 2017 | IJCNN | On-chip training of recurrent neural networks with limited numerical precision. | Taesik Na, Jong Hwan Ko, Jaeha Kung, Saibal Mukhopadhyay |
| 2016 | AVSS | 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 |
| 2016 | ISLPED | An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms. | Jong Hwan Ko, Saibal Mukhopadhyay |
| 2015 | ISLPED | Exploring power attack protection of resource constrained encryption engines using integrated low-drop-out regulators. | Arvind Singh, Monodeep Kar, Jong Hwan Ko, Saibal Mukhopadhyay |