A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization. - Samuel Silva 003; Rengan Suresh; Feng Tao 003; Johnathan Votion; Yongcan Cao (CoRR, 2017)

An Iterative Multilayer Unsupervised Learning Approach for Sensory Data Reliability Evaluation. - Feng Tao 003; Johnathan Votion; Yongcan Cao (IEEE Trans. Ind. Informatics, 2019)

Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization. - Feng Tao 003; Yongcan Cao (CoRR, 2020)

Human-Guided Robot Behavior Learning: A GAN-Assisted Preference-Based Reinforcement Learning Approach. - Huixin Zhan; Feng Tao 003; Yongcan Cao (IEEE Robotics Autom. Lett., 2021)

Graph Based Multi-Layer K-Means++ (G-MLKM) for Sensory Pattern Analysis in Constrained Spaces. - Feng Tao 003; Rengan Suresh; Johnathan Votion; Yongcan Cao (Sensors, 2021)

Resilient Learning of Computational Models With Noisy Labels. - Feng Tao 003; Yongcan Cao (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Generalized Maximum Entropy Reinforcement Learning via Reward Shaping. - Feng Tao 003; Mingkang Wu; Yongcan Cao (IEEE Trans. Artif. Intell., 2024)

Enhanced LiDAR-Based Localization via Multiresolution Iterative Closest Point Algorithms and Feature Extraction. - Yecheng Lyu; Xinkai Zhang; Feng Tao 003 (IEEE Trans. Artif. Intell., 2025)