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Minwoo Lee
Minwoo Lee
Assistant Professor of Computer Science, UNC Charlotte
Email confirmado em uncc.edu - Página inicial
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Citado por
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Ano
Learning from few examples: A summary of approaches to few-shot learning
A Parnami, M Lee
arXiv preprint arXiv:2203.04291, 2022
1182022
Local learning matters: Rethinking data heterogeneity in federated learning
M Mendieta, T Yang, P Wang, M Lee, Z Ding, C Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1012022
Faster reinforcement learning after pretraining deep networks to predict state dynamics
CW Anderson, M Lee, DL Elliott
2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015
712015
Data‐driven safety risk prediction of lithium‐ion battery
Y Jia, J Li, C Yuan, X Gao, W Yao, M Lee, J Xu
Advanced Energy Materials 11 (18), 2003868, 2021
692021
The gettier intuition from South America to Asia
E Machery, S Stich, D Rose, M Alai, A Angelucci, R Berniūnas, EE Buchtel, ...
Journal of Indian Council of Philosophical Research 34, 517-541, 2017
602017
DEVS/HLA-based modeling and simulation for intelligent transportation systems
J Lee, MW Lee, SD Chi
Simulation 79 (8), 423-439, 2003
302003
Few-shot keyword spotting with prototypical networks
A Parnami, M Lee
Proceedings of the 2022 7th International Conference on Machine Learning …, 2022
282022
Delay-optimal traffic engineering through multi-agent reinforcement learning
P Pinyoanuntapong, M Lee, P Wang
IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019
282019
Gaitmixer: skeleton-based gait representation learning via wide-spectrum multi-axial mixer
E Pinyoanuntapong, A Ali, P Wang, M Lee, C Chen
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
192023
Mutualnet: Adaptive convnet via mutual learning from different model configurations
T Yang, S Zhu, M Mendieta, P Wang, R Balakrishnan, M Lee, T Han, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 811-827, 2021
192021
Fedair: Towards multi-hop federated learning over-the-air
P Pinyoanuntapong, P Janakaraj, P Wang, M Lee, C Chen
2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020
172020
Topological data analysis for discourse semantics?
K Savle, W Zadrozny, M Lee
Proceedings of the 13th international conference on computational semantics …, 2019
172019
STAR: Simultaneous tracking and recognition through millimeter waves and deep learning
P Janakaraj, K Jakkala, A Bhuyan, Z Sun, P Wang, M Lee
2019 12th IFIP Wireless and Mobile Networking Conference (WMNC), 211-218, 2019
162019
Deep reinforcement learning monitor for snapshot recording
G Dao, I Mishra, M Lee
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
162018
Edgeml: towards network-accelerated federated learning over wireless edge
P Pinyoanuntapong, P Janakaraj, R Balakrishnan, M Lee, C Chen, ...
Computer Networks 219, 109396, 2022
102022
Toward scalable and robust AIoT via decentralized federated learning
P Pinyoanuntapong, WH Huff, M Lee, C Chen, P Wang
IEEE Internet of Things Magazine 5 (1), 30-35, 2022
102022
Relevant experiences in replay buffer
G Dao, M Lee
2019 IEEE symposium series on computational intelligence (SSCI), 94-101, 2019
102019
Convergent reinforcement learning control with neural networks and continuous action search
M Lee, CW Anderson
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014
102014
Towards in-band telemetry for self driving wireless networks
P Janakaraj, P Pinyoanuntapong, P Wang, M Lee
IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020
92020
Unstructured medical text classification using linguistic analysis: A supervised deep learning approach
A Al-Doulat, I Obaidat, M Lee
2019 IEEE/ACS 16th International Conference on Computer Systems and …, 2019
82019
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