Junhong Xu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Markov Decision Process

Reinforcement Learning

Autonomous Navigation

Observational Data

Top Venues

Publications

Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains. Int. J. Robotics Res. 43 (7) (2024)
Junhong Xu, Kai Yin, Jason M. Gregory, Kris Hauser, Lantao Liu
Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning. CoRR (2024)
Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, Vladislav Isenbaev, Ashwin Balakrishna, Ishan Gupta, Wei Liu, Aleksandr Petiushko
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving. CoRR (2024)
Ihab S. Mohamed, Junhong Xu, Gaurav S. Sukhatme, Lantao Liu
Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. CoRR (2023)
Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. ICRA (2023)
Durgakant Pushp, Junhong Xu, Lantao Liu
Coordination of Bounded Rational Drones through Informed Prior Policy. CoRR (2023)
Durgakant Pushp, Junhong Xu, Lantao Liu
Coordination of Bounded Rational Drones Through Informed Prior Policy. IROS (2023)
Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu
Decision-Making Among Bounded Rational Agents. DARS (2022)
Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. CoRR (2022)
Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu
Decision-Making Among Bounded Rational Agents. CoRR (2022)
Lixing Song, Junheng Wang, Junhong Xu
A Data-Efficient Reinforcement Learning Method Based on Local Koopman Operators. ICMLA (2021)
Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu
Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control. CoRR (2021)
Junhong Xu, Shangyue Zhu, Hanqing Guo, Shaoen Wu
Automated Labeling for Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning on Big Data. IEEE Trans. Big Data 7 (1) (2021)
Junhong Xu, Kai Yin, Lantao Liu
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. CoRR (2020)
Junhong Xu, Kai Yin, Lantao Liu
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. IROS (2020)
Junhong Xu, Kai Yin, Lantao Liu
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. Robotics: Science and Systems (2020)
Junhong Xu, Kai Yin, Lantao Liu
State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning. IEEE Robotics Autom. Lett. 5 (4) (2020)
Junhong Xu, Kai Yin, Lantao Liu
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. CoRR (2020)
Shaoen Wu, Hanqing Guo, Junhong Xu, Shangyue Zhu, Honggang Wang
In-band full duplex wireless communications and networking for IoT devices: Progress, challenges and opportunities. Future Gener. Comput. Syst. 92 (2019)
Junhong Xu, Kai Yin, Lantao Liu
Reachable Space Characterization of Markov Decision Processes with Time Variability. Robotics: Science and Systems (2019)
Junhong Xu, Kai Yin, Lantao Liu
State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning. CoRR (2019)
Junhong Xu, Kai Yin, Lantao Liu
Reachable Space Characterization of Markov Decision Processes with Time Variability. CoRR (2019)
Shangyue Zhu, Junhong Xu, Hanqing Guo, Qiwei Liu, Shaoen Wu, Honggang Wang
Indoor Human Activity Recognition Based on Ambient Radar with Signal Processing and Machine Learning. ICC (2018)
Junhong Xu, Qiwei Liu, Hanqing Guo, Aaron Kageza, Saeed AlQarni, Shaoen Wu
Shared Multi-Task Imitation Learning for Indoor Self-Navigation. GLOBECOM (2018)
Shaoen Wu, Junhong Xu, Shangyue Zhu, Hanqing Guo
A Deep Residual convolutional neural network for facial keypoint detection with missing labels. Signal Process. 144 (2018)
Shangyue Zhu, Hanqing Guo, Junhong Xu, Shaoen Wu
Distance Based User Localization and Tracking with Mechanical Ultrasonic Beamforming. ICNC (2018)
Junhong Xu, Qiwei Liu, Hanqing Guo, Aaron Kageza, Saeed AlQarni, Shaoen Wu
Shared Multi-Task Imitation Learning for Indoor Self-Navigation. CoRR (2018)
Hanqing Guo, Junhong Xu, Shangyue Zhu, Shaoen Wu
Realtime Software Defined Self-Interference Cancellation Based on Machine Learning for In-Band Full Duplex Wireless Communications. ICNC (2018)
Qiwei Liu, Hanqing Guo, Junhong Xu, Honggang Wang, Aaron Kageza, Saeed AlQarni, Shaoen Wu
Non-Contact Non-Invasive Heart and Respiration Rates Monitoring with MIMO Radar Sensing. GLOBECOM (2018)
Shaoen Wu, Jacob B. Rendall, Matthew J. Smith, Shangyue Zhu, Junhong Xu, Honggang Wang, Qing Yang, Pinle Qin
Survey on Prediction Algorithms in Smart Homes. IEEE Internet Things J. 4 (3) (2017)
Junhong Xu, Shangyue Zhu, Hanqing Guo, Shaoen Wu
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning. CoRR (2017)