Minwoo Lee

According to our database, Minwoo Lee authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

BAMM: Bidirectional Autoregressive Motion Model.

Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Pu Wang, Minwoo Lee, Srijan Das, Chen Chen

CoRR, 2024

2023

MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations.

Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2023

MMM: Generative Masked Motion Model.

Ekkasit Pinyoanuntapong, Pu Wang, Minwoo Lee, Chen Chen

CoRR, 2023

GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition.

Ekkasit Pinyoanuntapong, Ayman Ali, Kalvik Jakkala, Pu Wang, Minwoo Lee, Qucheng Peng, Chen Chen, Zhi Sun

CoRR, 2023

Gaitmixer: Skeleton-Based Gait Representation Learning Via Wide-Spectrum Multi-Axial Mixer.

Ekkasit Pinyoanuntapong, Ayman Ali, Pu Wang, Minwoo Lee, Chen Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Toward Scalable and Robust AIoT via Decentralized Federated Learning.

Pinyarash Pinyoanuntapong, Wesley Houston Huff, Minwoo Lee, Chen Chen, Pu Wang

IEEE Internet Things Mag., 2022

Learning from Few Examples: A Summary of Approaches to Few-Shot Learning.

Archit Parnami, Minwoo Lee

CoRR, 2022

EdgeML: Towards network-accelerated federated learning over wireless edge.

Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang

Comput. Networks, 2022

Error-related Potential Variability: Exploring the Effects on Classification and Transferability.

Benjamin Poole, Minwoo Lee

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Privacy Enhancement for Cloud-Based Few-Shot Learning.

Archit Parnami, Muhammad Usama, Liyue Fan, Minwoo Lee

Proceedings of the International Joint Conference on Neural Networks, 2022

Few-Shot Keyword Spotting With Prototypical Networks.

Archit Parnami, Minwoo Lee

Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022

Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks.

Archit Parnami, Mayuri Deshpande, Anant Kumar Mishra, Minwoo Lee

Proceedings of the 3rd International Workshop on Knowledge Graph Construction (KGCW 2022) co-located with 19th Extended Semantic Web Conference (ESWC 2022), 2022

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning.

Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Intrinsic Interactive Reinforcement Learning: A Survey.

Benjamin Poole, Minwoo Lee

CoRR, 2021

Multi-task Transfer with Practice.

Upasana Pattnaik, Minwoo Lee

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Learning Sparse Evidence- Driven Interpretation to Understand Deep Reinforcement Learning Agents.

Giang Dao, Wesley Houston Huff, Minwoo Lee

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing.

Pinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

2020

Demysifying Deep Neural Networks Through Interpretation: A Survey.

Giang Dao, Minwoo Lee

CoRR, 2020

FedAir: Towards Multi-hop Federated Learning Over-the-Air.

Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Pu Wang, Minwoo Lee, Chen Chen

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Towards In-Band Telemetry for Self Driving Wireless Networks.

Prabhu Janakaraj, Pinyarash Pinyoanuntapong, Pu Wang, Minwoo Lee

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Automatic Composite Action Discovery for Hierarchical Reinforcement Learning.

Josiah Laivins, Minwoo Lee

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Efficient Practice for Deep Reinforcement Learning.

Venkata Sai Santosh Ravi Teja Kancharla, Minwoo Lee

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Relevant Experiences in Replay Buffer.

Giang Dao, Minwoo Lee

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

STAR: Simultaneous Tracking and Recognition through Millimeter Waves and Deep Learning.

Prabhu Janakaraj, Kalvik Jakkala, Arupjyoti Bhuyan, Zhi Sun, Pu Wang, Minwoo Lee

Proceedings of the 12th IFIP Wireless and Mobile Networking Conference, 2019

Delay-Optimal Traffic Engineering through Multi-agent Reinforcement Learning.

Pinyarash Pinyoanuntapong, Minwoo Lee, Pu Wang

Proceedings of the IEEE INFOCOM 2019, 2019

Distributed Multi-Hop Traffic Engineering via Stochastic Policy Gradient Reinforcement Learning.

Pinyarash Pinyoanuntapong, Minwoo Lee, Pu Wang

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Unstructured Medical Text Classification using Linguistic Analysis: A Supervised Deep Learning Approach.

Ahmad Al-Doulat, Islam Obaidat, Minwoo Lee

Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

2018

Visual Sparse Bayesian Reinforcement Learning: A Framework for Interpreting What an Agent Has Learned.

Indrajeet Mishra, Giang Dao, Minwoo Lee

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Deep Reinforcement Learning Monitor for Snapshot Recording.

Giang Dao, Indrajeet Mishra, Minwoo Lee

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Can a reinforcement learning agent practice before it starts learning?

Minwoo Lee, Charles W. Anderson

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016).

Nancy M. Amato, Charles Anderson, Gregory S. Chirikjian, Hamidreza Chitsaz, Vishnu R. Desaraju, Chinwe Ekenna, Kris K. Hauser, Geoffrey A. Hollinger, Reza Iraji, Minwoo Lee, Qianli Ma, Seth McCammon, Nathan Michael, Shawna L. Thomas, Diane Uwacu, Yan Yan

CoRR, 2016

Relevance Vector Sampling for Reinforcement Learning in Continuous Action Space.

Minwoo Lee, Charles W. Anderson

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Faster reinforcement learning after pretraining deep networks to predict state dynamics.

Charles W. Anderson, Minwoo Lee, Daniel L. Elliott

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Convergent reinforcement learning control with neural networks and continuous action search.

Minwoo Lee, Charles W. Anderson

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014