Minwoo Lee - RankMe

47 papers A* 2B 4C 3Misc 2Journal 20Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques. CoRR Raju Challagundla, Mohsen Dorodchi, Pu Wang, Minwoo Lee
2024	—	`conf`	BAMM: Bidirectional Autoregressive Motion Model. ECCV (15) Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Pu Wang, Minwoo Lee, Srijan Das, Chen Chen
2024	J	`jnl`	BAMM: Bidirectional Autoregressive Motion Model. CoRR Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Pu Wang, Minwoo Lee, Srijan Das, Chen Chen
2024	A*	`conf`	MMM: Generative Masked Motion Model. CVPR Ekkasit Pinyoanuntapong, Pu Wang, Minwoo Lee, Chen Chen
2023	J	`jnl`	Error-related Potential Variability: Exploring the Effects on Classification and Transferability. CoRR Benjamin Poole, Minwoo Lee
2023	J	`jnl`	GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition. CoRR Ekkasit Pinyoanuntapong, Ayman Ali, Kalvik Jakkala, Pu Wang, Minwoo Lee, Qucheng Peng, Chen Chen, Zhi Sun
2023	Misc	`conf`	Gaitmixer: Skeleton-Based Gait Representation Learning Via Wide-Spectrum Multi-Axial Mixer. ICASSP Ekkasit Pinyoanuntapong, Ayman Ali, Pu Wang, Minwoo Lee, Chen Chen
2023	J	`jnl`	MMM: Generative Masked Motion Model. CoRR Ekkasit Pinyoanuntapong, Pu Wang, Minwoo Lee, Chen Chen
2023	J	`jnl`	MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations. IEEE Trans. Pattern Anal. Mach. Intell. Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen
2022	J	`jnl`	EdgeML: Towards network-accelerated federated learning over wireless edge. Comput. Networks Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang
2022	—	`conf`	Error-related Potential Variability: Exploring the Effects on Classification and Transferability. SSCI Benjamin Poole, Minwoo Lee
2022	—	`conf`	Few-Shot Keyword Spotting With Prototypical Networks. ICMLT Archit Parnami, Minwoo Lee
2022	J	`jnl`	GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer. CoRR Ekkasit Pinyoanuntapong, Ayman Ali, Pu Wang, Minwoo Lee, Chen Chen
2022	J	`jnl`	Learning from Few Examples: A Summary of Approaches to Few-Shot Learning. CoRR Archit Parnami, Minwoo Lee
2022	A*	`conf`	Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. CVPR Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen
2022	B	`conf`	Privacy Enhancement for Cloud-Based Few-Shot Learning. IJCNN Archit Parnami, Muhammad Usama, Liyue Fan, Minwoo Lee
2022	J	`jnl`	Privacy Enhancement for Cloud-Based Few-Shot Learning. CoRR Archit Parnami, Muhammad Usama, Liyue Fan, Minwoo Lee
2022	J	`jnl`	Toward Scalable and Robust AIoT via Decentralized Federated Learning. IEEE Internet Things Mag. Pinyarash Pinyoanuntapong, Wesley Houston Huff, Minwoo Lee, Chen Chen, Pu Wang
2022	—	`conf`	Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks. KGCW@ESWC Archit Parnami, Mayuri Deshpande, Anant Kumar Mishra, Minwoo Lee
2021	J	`jnl`	EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge. CoRR Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang
2021	—	`conf`	Learning Sparse Evidence- Driven Interpretation to Understand Deep Reinforcement Learning Agents. SSCI Giang Dao, Wesley Houston Huff, Minwoo Lee
2021	J	`jnl`	Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. CoRR Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen
2021	—	`conf`	Multi-task Transfer with Practice. SSCI Upasana Pattnaik, Minwoo Lee
2021	J	`jnl`	MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations. CoRR Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen
2021	Misc	`conf`	Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing. SEC Pinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang
2021	J	`jnl`	Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing. CoRR Pinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang
2021	J	`jnl`	Towards Intrinsic Interactive Reinforcement Learning: A Survey. CoRR Benjamin Poole, Minwoo Lee
2021	J	`jnl`	Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks. CoRR Archit Parnami, Mayuri Deshpande, Anant Kumar Mishra, Minwoo Lee
2020	J	`jnl`	Demysifying Deep Neural Networks Through Interpretation: A Survey. CoRR Giang Dao, Minwoo Lee
2020	—	`conf`	FedAir: Towards Multi-hop Federated Learning Over-the-Air. SPAWC Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Pu Wang, Minwoo Lee, Chen Chen
2020	J	`jnl`	Few-Shot Keyword Spotting With Prototypical Networks. CoRR Archit Parnami, Minwoo Lee
2020	—	`conf`	Towards In-Band Telemetry for Self Driving Wireless Networks. INFOCOM Workshops Prabhu Janakaraj, Pinyarash Pinyoanuntapong, Pu Wang, Minwoo Lee
2019	—	`conf`	Automatic Composite Action Discovery for Hierarchical Reinforcement Learning. SSCI Josiah Laivins, Minwoo Lee
2019	—	`conf`	Delay-Optimal Traffic Engineering through Multi-agent Reinforcement Learning. INFOCOM Workshops Pinyarash Pinyoanuntapong, Minwoo Lee, Pu Wang
2019	B	`conf`	Distributed Multi-Hop Traffic Engineering via Stochastic Policy Gradient Reinforcement Learning. GLOBECOM Pinyarash Pinyoanuntapong, Minwoo Lee, Pu Wang
2019	—	`conf`	Efficient Practice for Deep Reinforcement Learning. SSCI Venkata Sai Santosh Ravi Teja Kancharla, Minwoo Lee
2019	—	`conf`	Relevant Experiences in Replay Buffer. SSCI Giang Dao, Minwoo Lee
2019	—	`conf`	STAR: Simultaneous Tracking and Recognition through Millimeter Waves and Deep Learning. WMNC Prabhu Janakaraj, Kalvik Jakkala, Arupjyoti Bhuyan, Zhi Sun, Pu Wang, Minwoo Lee
2019	C	`conf`	Unstructured Medical Text Classification using Linguistic Analysis: A Supervised Deep Learning Approach. AICCSA Ahmad Al-Doulat, Islam Obaidat, Minwoo Lee
2018	C	`conf`	Deep Reinforcement Learning Monitor for Snapshot Recording. ICMLA Giang Dao, Indrajeet Mishra, Minwoo Lee
2018	—	`conf`	Visual Sparse Bayesian Reinforcement Learning: A Framework for Interpreting What an Agent Has Learned. SSCI Indrajeet Mishra, Giang Dao, Minwoo Lee
2017	B	`conf`	Can a reinforcement learning agent practice before it starts learning? IJCNN Minwoo Lee, Charles W. Anderson
2016	J	`jnl`	Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016). CoRR 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
2016	C	`conf`	Relevance Vector Sampling for Reinforcement Learning in Continuous Action Space. ICMLA Minwoo Lee, Charles W. Anderson
2015	B	`conf`	Faster reinforcement learning after pretraining deep networks to predict state dynamics. IJCNN Charles W. Anderson, Minwoo Lee, Daniel L. Elliott
2014	—	`conf`	Convergent reinforcement learning control with neural networks and continuous action search. ADPRL Minwoo Lee, Charles W. Anderson
2011	—	`conf`	Hurricane Prediction with Python. SciPy Minwoo Lee, Charles W. Anderson, Mark DeMaria