| Learning from few examples: A summary of approaches to few-shot learning A Parnami, M Lee arXiv preprint arXiv:2203.04291, 2022 | 160 | 2022 |
| 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 | 125 | 2022 |
| 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 | 78 | 2021 |
| 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 | 75 | 2015 |
| 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 | 60 | 2017 |
| Few-shot keyword spotting with prototypical networks A Parnami, M Lee Proceedings of the 2022 7th International Conference on Machine Learning …, 2022 | 30 | 2022 |
| 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 | 30 | 2019 |
| DEVS/HLA-based modeling and simulation for intelligent transportation systems J Lee, MW Lee, SD Chi Simulation 79 (8), 423-439, 2003 | 30 | 2003 |
| 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 | 23 | 2023 |
| 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 | 23 | 2021 |
| Topological data analysis for discourse semantics? K Savle, W Zadrozny, M Lee Proceedings of the 13th international conference on computational semantics …, 2019 | 19 | 2019 |
| 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 | 18 | 2020 |
| 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 | 18 | 2019 |
| Deep reinforcement learning monitor for snapshot recording G Dao, I Mishra, M Lee 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 17 | 2018 |
| Edgeml: towards network-accelerated federated learning over wireless edge P Pinyoanuntapong, P Janakaraj, R Balakrishnan, M Lee, C Chen, ... Computer Networks 219, 109396, 2022 | 11 | 2022 |
| 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 | 11 | 2022 |
| 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 | 11 | 2014 |
| Relevant experiences in replay buffer G Dao, M Lee 2019 IEEE symposium series on computational intelligence (SSCI), 94-101, 2019 | 10 | 2019 |
| Gaitsada: Self-aligned domain adaptation for mmwave gait recognition E Pinyoanuntapong, A Ali, K Jakkala, P Wang, M Lee, Q Peng, C Chen, ... 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems …, 2023 | 9 | 2023 |
| 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 | 9 | 2020 |
Pu WangUniversity of North Carolina at Charlotte在 uncc.edu 的电子邮件经过验证
