Youngeun Kim - Concepedia

Author

Youngeun Kim

Yale University ORCID

Also Known As

Kim, Youngeun, Youngeun Kim

Publications

641

Citations

H-Index

Concepts

All Affiliations

Yale University Inha University Chungnam National University

About

Youngeun Kim is an author at Yale University specializing in computer science, engineering, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	446
2	Computer Science	6	6	446
3	Social Sciences	4	4	255
4	Computer Engineering	2	2	93
5	Management	1	1	171

Youngeun Kim

Publications

505

Citations

H-Index

Page 1

	Year	Citations
Domain Adaptation Without Source Data Youngeun Kim, Donghyeon Cho, Kyeongtak Han, IEEE Transactions on Artificial Intelligence EngineeringMachine LearningNatural Language ProcessingData ScienceData Mining	2021	171
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing Youngeun Kim, Priyadarshini Panda Neural Networks Machine VisionEngineeringComputational NeuroscienceSpiking Neural NetworksNeuroscience	2021	95
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? Youngeun Kim, Hyoungseob Park, Abhishek Moitra, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Convolutional Neural NetworkEngineeringMachine LearningNeural RecodingAutoencoders	2022	75
Beyond classification: directly training spiking neural networks for semantic segmentation Youngeun Kim, Joshua Chough, Priyadarshini Panda Neuromorphic Computing and Engineering Convolutional Neural NetworkEngineeringMachine LearningNeural RecodingAutoencoders	2022	67
Adaptive Graph Adversarial Networks for Partial Domain Adaptation Youngeun Kim, Sungeun Hong IEEE Transactions on Circuits and Systems for Video Technology	2021	31
Towards Privacy-Preserving Domain Adaptation Youngeun Kim, Donghyeon Cho, Sungeun Hong IEEE Signal Processing Letters Artificial IntelligencePrivacy ProtectionEngineeringMachine LearningInformation Security	2020	20
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, EngineeringSnn InferenceComputer ArchitectureNon-ideal Memristive CrossbarsNeurochip	2022	18
Workload-Balanced Pruning for Sparse Spiking Neural Networks Ruokai Yin, Youngeun Kim, Yuhang Li, IEEE Transactions on Emerging Topics in Computational Intelligence	2024	18
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim,	2023	10

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