I am a fourth-year Ph.D. candidate in Electrical Engineering Department at Yale University. I am a member of Intelligent Computing Lab, advised by Prof. Priyadarshini Panda . My research aims to build more bio-inspired machine intelligence where the system can achieve both energy efficiency and robust performance. I develop learning algorithms that facilitate binary communication (like the human brain) in AI systems while having hardware-friendly features. Also, I look into various practical machine learning tasks, such as continual learning, distributed learning and domain adaptation, enabling learning systems to tackle real-world scenarios.
🔥 I am looking for a full-time research scientist/engineer position. Please send me an email (youngeun.kim@yale.edu) if you are interested in my research. I have around 6 years of experience in machine learning, computer vision, and broad background in circuits and systems.
News
2023
- May:
🔥NEWI am excited to announce that I will be joining Amazon (AWS AI) as a summer intern! - May:
🔥NEWA paper regarding Representation Similiary between ANNs and SNNs is accepted to Transactions on Machine Learning Research. - March: A paper regarding Neural Architecture Search (NAS) for Crossbar is accepted to DAC2023.
- Feb: A paper regarding Fisher Information Analysis on SNNs is accepted to AAAI2023.
2022
- Nov: A paper regarding Human Action Recognition (HAR) using SNNs is accepted to NeurIPS2022 Workshop.
- Oct: SNN Segmentation work is accepted to ” Neuromorphic Computing and Engineering, IOP Publishing (2022).
- Oct: A paper regarding SNN training accelerator is accepted to IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2022).
- July: We got the best paper awards in ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED) 2022!!!!!
- July: Three papers are accepted to ECCV 2022!!! 1 oral, 2 posters
- June: One paper regarding the robustness of SNN on memristive crossbar is accepted to ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2022
- Feb: One paper regarding privacy-preserving SNN is accepted to AAAI 2022.
- Jan: One paper regarding analysis on SNN coding schemes is accepted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022.
2021
- Nov: One paper regarding batchnorm tehchnique for SNN is accepted to Frontier in Neuroscience.
- Oct: One paper regarding SNN in Federated Learning is accepted to IEEE Transactions on Signal Processing (TSP).
- Oct: One paper regarding SNN with DVS sensor dataset is accepted to Neural Networks.
- Sep: One paper regarding SNN interpretation tool is accepted to Nature Scientific Report.
- Sep: One paper regarding memristive crossbar is accepted to IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
- Sep: One paper regarding source-free domain adaptation is accepted to IEEE IEEE Transactions on Artificial Intelligence (TAI).
- June: I have joined Samsung Advanced Institute of Technology (SAIT) as a research intern to work on Neuromorphic Computing. We devise the algorithm that can mitigate the intrinsic noise in the memristive crossbar - Accepted to 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
- Feb: One paper regarding domain adaptation is accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).