Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning. - Junhong Xu; Shangyue Zhu; Hanqing Guo; Shaoen Wu (CoRR, 2017)

Survey on Prediction Algorithms in Smart Homes. - Shaoen Wu; Jacob B. Rendall; Matthew J. Smith; Shangyue Zhu; Junhong Xu; Honggang Wang 001; Qing Yang 003; Pinle Qin (IEEE Internet Things J., 2017)

Non-Contact Non-Invasive Heart and Respiration Rates Monitoring with MIMO Radar Sensing. - Qiwei Liu; Hanqing Guo; Junhong Xu; Honggang Wang 001; Aaron Kageza; Saeed AlQarni; Shaoen Wu (GLOBECOM, 2018)

Shared Multi-Task Imitation Learning for Indoor Self-Navigation. - Junhong Xu; Qiwei Liu; Hanqing Guo; Aaron Kageza; Saeed AlQarni; Shaoen Wu (GLOBECOM, 2018)

Indoor Human Activity Recognition Based on Ambient Radar with Signal Processing and Machine Learning. - Shangyue Zhu; Junhong Xu; Hanqing Guo; Qiwei Liu; Shaoen Wu; Honggang Wang 001 (ICC, 2018)

Realtime Software Defined Self-Interference Cancellation Based on Machine Learning for In-Band Full Duplex Wireless Communications. - Hanqing Guo; Junhong Xu; Shangyue Zhu; Shaoen Wu (ICNC, 2018)

Distance Based User Localization and Tracking with Mechanical Ultrasonic Beamforming. - Shangyue Zhu; Hanqing Guo; Junhong Xu; Shaoen Wu (ICNC, 2018)

A Deep Residual convolutional neural network for facial keypoint detection with missing labels. - Shaoen Wu; Junhong Xu; Shangyue Zhu; Hanqing Guo (Signal Process., 2018)

Reachable Space Characterization of Markov Decision Processes with Time Variability. - Junhong Xu; Kai Yin; Lantao Liu (Robotics: Science and Systems, 2019)

State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning. - Junhong Xu; Kai Yin; Lantao Liu (CoRR, 2019)

In-band full duplex wireless communications and networking for IoT devices: Progress, challenges and opportunities. - Shaoen Wu; Hanqing Guo; Junhong Xu; Shangyue Zhu; Honggang Wang 001 (Future Gener. Comput. Syst., 2019)

Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. - Junhong Xu; Kai Yin; Lantao Liu (IROS, 2020)

Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. - Junhong Xu; Kai Yin; Lantao Liu (Robotics: Science and Systems, 2020)

State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning. - Junhong Xu; Kai Yin; Lantao Liu (IEEE Robotics Autom. Lett., 2020)

A Data-Efficient Reinforcement Learning Method Based on Local Koopman Operators. - Lixing Song; Junheng Wang; Junhong Xu (ICMLA, 2021)

Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control. - Junhong Xu; Kai Yin; Zheng Chen 016; Jason M. Gregory; Ethan A. Stump; Lantao Liu (CoRR, 2021)

Automated Labeling for Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning on Big Data. - Junhong Xu; Shangyue Zhu; Hanqing Guo; Shaoen Wu (IEEE Trans. Big Data, 2021)

Decision-Making Among Bounded Rational Agents. - Junhong Xu; Durgakant Pushp; Kai Yin; Lantao Liu (DARS, 2022)

Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. - Junhong Xu; Kai Yin; Jason M. Gregory; Lantao Liu (ICRA, 2023)

Coordination of Bounded Rational Drones Through Informed Prior Policy. - Durgakant Pushp; Junhong Xu; Lantao Liu (IROS, 2023)

Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. - Ihab S. Mohamed; Junhong Xu; Gaurav S. Sukhatme; Lantao Liu (CoRR, 2023)

Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation. - Youwei Yu; Junhong Xu; Lantao Liu (CoRL, 2024)

Context-Generative Default Policy for Bounded Rational Agent. - Durgakant Pushp; Junhong Xu; Zheng Chen 016; Lantao Liu (IROS, 2024)

CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving. - Jonathan Booher; Khashayar Rohanimanesh; Junhong Xu; Vladislav Isenbaev; Ashwin Balakrishna; Ishan Gupta; Wei Liu; Aleksandr Petiushko (CoRR, 2024)

Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains. - Junhong Xu; Kai Yin; Zheng Chen 016; Jason M. Gregory; Ethan A. Stump; Lantao Liu (Int. J. Robotics Res., 2024)

Boundary-aware value function generation for safe stochastic motion planning. - Junhong Xu; Kai Yin; Jason M. Gregory; Kris Hauser; Lantao Liu (Int. J. Robotics Res., 2024)

Toward Efficient MPPI Trajectory Generation With Unscented Guidance: U-MPPI Control Strategy. - Ihab S. Mohamed; Junhong Xu; Gaurav S. Sukhatme; Lantao Liu (IEEE Trans. Robotics, 2025)

ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real. - Youwei Yu; Junhong Xu; Lantao Liu (CoRR, 2025)

Learning Causal Structure Distributions for Robust Planning. - Alejandro Murillo-González; Junhong Xu; Lantao Liu (IEEE Robotics Autom. Lett., 2025)