Feng Tao
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Dg-labeler and dgl-mots dataset: Boost the autonomous driving perception
Y Cui, Z Cao, Y Xie, X Jiang, F Tao, YV Chen, L Li, D Liu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Human-guided robot behavior learning: A gan-assisted preference-based reinforcement learning approach
H Zhan, F Tao, Y Cao
IEEE Robotics and Automation Letters 6 (2), 3545-3552, 2021
A multi-layer k-means approach for multi-sensor data pattern recognition in multi-target localization
S Silva, R Suresh, F Tao, J Votion, Y Cao
arXiv preprint arXiv:1705.10757, 2017
An iterative multilayer unsupervised learning approach for sensory data reliability evaluation
F Tao, J Votion, Y Cao
IEEE Transactions on Industrial Informatics 15 (4), 2199-2209, 2018
Machine learning approaches for multi-sensor data pattern recognition: K-means, deep neural networks, and multi-layer K-means
R Suresh, F Tao, J Votion, Y Cao
2018 AIAA Information Systems-AIAA Infotech@ Aerospace, 1639, 2018
Resilient learning of computational models with noisy labels
F Tao, Y Cao
IEEE Transactions on Emerging Topics in Computational Intelligence 5 (3 …, 2019
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
F Tao, Y Cao
arXiv preprint arXiv:2009.09577, 2020
F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving
EU Samani, F Tao, HR Dasari, S Ding, AG Banerjee
arXiv preprint arXiv:2303.03651, 2023
Graph based multi-layer K-Means++ (g-mlkm) for sensory pattern analysis in constrained spaces
F Tao, R Suresh, J Votion, Y Cao
Sensors 21 (6), 2069, 2021
Risk-aware multi-robot collaboration with arrival deadlines in uncertain environments
F Tao, J Votion, Y Cao
AIAA Scitech 2020 Forum, 0661, 2020
Generalized Maximum Entropy Reinforcement Learning Via Reward Shaping
F Tao, M Wu, Y Cao
IEEE Transactions on Artificial Intelligence, 2023
Value of Potential Field in Reward Specification for Robotic Control via Deep Reinforcement Learning
M Wu, F Tao, Y Cao
AIAA SCITECH 2023 Forum, 0505, 2023
Data-Driven Decision-Making Based on Noisy Data Samples---Studies in the Machine Learning Applications
F Tao
The University of Texas at San Antonio, 2021
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