| 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 | 36 | 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 | 25 | 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 | 12 | 2017 |
| Resilient learning of computational models with noisy labels F Tao, Y Cao IEEE Transactions on Emerging Topics in Computational Intelligence 5 (3 …, 2019 | 7 | 2019 |
| 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 | 7 | 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 | 6 | 2018 |
| 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 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 4 | 2023 |
| Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization F Tao, Y Cao arXiv preprint arXiv:2009.09577, 2020 | 3 | 2020 |
| 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 | 2 | 2021 |
| Risk-aware multi-robot collaboration with arrival deadlines in uncertain environments F Tao, J Votion, Y Cao AIAA Scitech 2020 Forum, 0661, 2020 | 2 | 2020 |
| Generalized Maximum Entropy Reinforcement Learning via Reward Shaping F Tao, M Wu, Y Cao IEEE Transactions on Artificial Intelligence, 2023 | 1 | 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 | 1 | 2023 |
| LORD: Large Models based Opposite Reward Design for Autonomous Driving X Ye, F Tao, A Mallik, B Yaman, L Ren arXiv preprint arXiv:2403.18965, 2024 | | 2024 |
| 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 | | 2021 |
| Learn to Outperform Demonstrators via Reward and Policy Co-learning M Wu, F Tao, Y Cao Workshop on Reinforcement Learning Beyond Rewards@ Reinforcement Learning …, 0 | | |
Yongcan CaoUniversity of Texas, San Antonio在 utsa.edu 的电子邮件经过验证
