Youngeun Kim

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 78

Top Topics

Weakly Supervised

Domain Adaptation

Neural Architecture

Top Venues

Neural Networks

Publications

Youngeun Kim, Yuhang Li, Priyadarshini Panda
One-stage Prompt-based Continual Learning. CoRR (2024)
Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Do we really need a large number of visual prompts? Neural Networks 177 (2024)
Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda
LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks. CoRR (2024)
Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. CoRR (2024)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. DATE (2024)
Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
Workload-Balanced Pruning for Sparse Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. CoRR (2023)
Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning. CoRR (2023)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems. Neural Networks 168 (2023)
Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, Sungeun Hong
TL-ADA: Transferable Loss-based Active Domain Adaptation. Neural Networks 161 (2023)
Youngeun Kim, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
Do We Really Need a Large Number of Visual Prompts? CoRR (2023)
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
SEENN: Towards Temporal Spiking Early-Exit Neural Networks. CoRR (2023)
Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
SEENN: Towards Temporal Spiking Early Exit Neural Networks. NeurIPS (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. CoRR (2023)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI (2023)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems. CoRR (2023)
Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
Workload-Balanced Pruning for Sparse Spiking Neural Networks. CoRR (2023)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. Trans. Mach. Learn. Res. 2023 (2023)
Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda
StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. ACM Great Lakes Symposium on VLSI (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. DAC (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. CoRR (2023)
Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks. CoRR (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. CoRR (2023)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
Neuromorphic Data Augmentation for Training Spiking Neural Networks. ECCV (7) (2022)
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
Neuromorphic Data Augmentation for Training Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) (2022)
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
PrivateSNN: Privacy-Preserving Spiking Neural Networks. AAAI (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? ICASSP (2022)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization. CoRR (2022)
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda
NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (8) (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Sungeun Hong
Adaptive Graph Adversarial Networks for Partial Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 32 (1) (2022)
Kyeongtak Han, Youngeun Kim, Dongyoon Han, Sungeun Hong
Loss-based Sequential Learning for Active Domain Adaptation. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
Neural Architecture Search for Spiking Neural Networks. ECCV (24) (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
Neural Architecture Search for Spiking Neural Networks. CoRR (2022)
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. CoRR (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2 (2) (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? CoRR (2022)
Abhishek Moitra, Youngeun Kim, Priyadarshini Panda
Adversarial Detection without Model Information. CoRR (2022)
Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. CoRR (2022)
Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda
Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. CoRR (2022)
Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. ISLPED (2022)
Youngeun Kim, Joshua Chough, Priyadarshini Panda
Beyond classification: directly training spiking neural networks for semantic segmentation. Neuromorph. Comput. Eng. 2 (4) (2022)
Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda
Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar. DATE (2022)
Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Joshua Chough, Priyadarshini Panda
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation. CoRR (2021)
Youngeun Kim, Donghyeon Cho, Kyeongtak Han, Priyadarshini Panda, Sungeun Hong
Domain Adaptation Without Source Data. IEEE Trans. Artif. Intell. 2 (6) (2021)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR (2021)
Youngeun Kim, Priyadarshini Panda
Visual Explanations from Spiking Neural Networks using Interspike Intervals. CoRR (2021)
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
Federated Learning With Spiking Neural Networks. IEEE Trans. Signal Process. 69 (2021)
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
Federated Learning with Spiking Neural Networks. CoRR (2021)
Youngeun Kim, Priyadarshini Panda
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing. Neural Networks 144 (2021)
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks. CoRR (2021)
Youngeun Kim, Priyadarshini Panda
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch. CoRR (2020)
Youngeun Kim, Sungeun Hong, Donghyeon Cho, Hyoungseob Park, Priyadarshini Panda
Domain Adaptation without Source Data. CoRR (2020)
Youngeun Kim, Sungeun Hong, Seunghan Yang, Sungil Kang, Yunho Jeon, Jiwon Kim
Associative Partial Domain Adaptation. CoRR (2020)
Hyoungseob Park, Minki Jeong, Youngeun Kim, Changick Kim
Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels. ICIP (2020)
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda
NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars. CoRR (2020)
Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CVPR (2020)
Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim
Combinational Class Activation Maps for Weakly Supervised Object Localization. WACV (2020)
Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, Changick Kim
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. WACV (2020)
Youngeun Kim, Donghyeon Cho, Sungeun Hong
Towards Privacy-Preserving Domain Adaptation. IEEE Signal Process. Lett. 27 (2020)
Juri Jung, Jonghee Kim, Youngeun Kim, Changick Kim
Reinforcement Learning-Based Layer-Wise Quantization For Lightweight Deep Neural Networks. ICIP (2020)
Seunghan Yang, Youngeun Kim, Dongki Jung, Changick Kim
Partial Domain Adaptation Using Graph Convolutional Networks. CoRR (2020)
Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CoRR (2019)
Youngeun Kim, Hankyeol Lee, Seokeon Choi, Taekyung Kim, Changick Kim
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. CoRR (2019)
Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim
CNN-Based Semantic Segmentation Using Level Set Loss. WACV (2019)
Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim
Combinational Class Activation Maps for Weakly Supervised Object Localization. CoRR (2019)
Hankyeol Lee, Seokeon Choi, Youngeun Kim, Changick Kim
Bilinear Siamese Networks with Background Suppression for Visual Object Tracking. BMVC (2019)
Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim
CNN-based Semantic Segmentation using Level Set Loss. CoRR (2019)
Youngeun Kim, Taekyung Kim, Seunghyeon Kim, Changick Kim
Weakly Supervised Semantic Segmentation Using Color Adjacency Loss. VCIP (2018)
Tuan Anh Luong, Kihyeon Kim, Sung-Won Seo, Jae Hyeong Park, Youngeun Kim, Sang Yul Yang, Kyeong Ho Cho, Ja Choon Koo, Hyouk Ryeol Choi, Hyungpil Moon
Impedance Control of a High Performance Twisted-Coiled Polymer Actuator. IROS (2018)
Sang Yul Yang, Kyeong Ho Cho, Youngeun Kim, Kihyeon Kim, Jae Hyeong Park, Hosang Jung, Jeong U. Ko, Hyungpil Moon, Ja Choon Koo, Hugo Rodrigue, Ji Won Suk, Jaedo Nam, Hyouk Ryeol Choi
Soft Fabric Actuator for Robotic Applications. IROS (2018)
Tuan Anh Luong, Kihyeon Kim, Sung-Won Seo, Jae Hyeong Park, Youngeun Kim, Sang Yul Yang, Kyeong Ho Cho, Ja Choon Koo, Hyouk Ryeol Choi, Hyungpil Moon
Modeling and position control of a high performance twisted-coiled polymer actuator. UR (2018)
Seonhong Hwang, Youngeun Kim, Youngho Kim
Joint Kinetics and Lumbar Curvatures during Symmetric Lifting: Squat and Stoop. BMEI (2) (2008)
Seonhong Hwang, Sungjae Hwang, Youngeun Kim, Youngho Kim
Lower extremity joint moments during symmetric lifting: squat vs stoop. i-CREATe (2007)