Publications
Lottery Ticket Hypothesis for Spiking Neural Networks [PDF]
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Oral presentation, Accepted to European Conference on Computer Vision (ECCV) 2022
Neural Architecture Search for Spiking Neural Networks [PDF]
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
Accepted to European Conference on Computer Vision (ECCV) 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks [PDF]
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
Accepted to European Conference on Computer Vision (ECCV) 2022
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars [PDF]
Abhiroop Bhattacharjee*, Youngeun Kim*, Abhishek Moitra, Priyadarshini Panda (* equal contribution)
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2022
PrivateSNN: Privacy-Preserving Spiking Neural Networks [PDF]
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
AAAI 2022
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? [PDF]
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch [PDF]
Youngeun Kim, Priyadarshini Panda
Frontier in Neuroscience, 2021
Federated Learning With Spiking Neural Networks [PDF]
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
IEEE Transactions on Signal Processing (TSP), 2021
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing [PDF]
Youngeun Kim, Priyadarshini Panda
Elsevier - Neural Networks, 2021
Visual explanations from spiking neural networks using inter-spike intervals [PDF]
Youngeun Kim, Priyadarshini Panda
Nature Scientific Report, 2021
NEAT: Non-linearity Aware Training for Accurate, Energy-Efficient and Robust Implementation of Neural Networks on 1T-1R Crossbars [PDF]
Abhiroop Bhattacharjee*, Lakshya Bhatnagar*, Youngeun Kim*, Priyadarshini Panda (* equal contribution)
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021
Gradient-based bit encoding optimization for noise-robust binary memristive crossbar [PDF]
Youngeun Kim, Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022
Domain Adaptation without Source Data [PDF]
Youngeun Kim, Sungeun Hong
IEEE Transactions on Artificial Intelligence (TAI), 2021
Adaptive Graph Adversarial Networks for Partial Domain Adaptation [PDF]
Youngeun Kim, Sungeun Hong
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
Hi-CMD: Hierarchical cross-modality disentanglement for visible-infrared person re-identification [PDF]
Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim
IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR), 2020