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2020 – today
- 2024
[j7]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): 1056-1080 (2024)- [j6]Junhong Xu, Kai Yin, Jason M. Gregory, Kris Hauser, Lantao Liu:
Boundary-aware value function generation for safe stochastic motion planning. Int. J. Robotics Res. 43(12): 1936-1958 (2024) - [i14]Junhong Xu, Kai Yin, Jason M. Gregory, Kris Hauser, Lantao Liu:
Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning. CoRR abs/2403.14956 (2024) - [i13]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 abs/2406.08878 (2024) - [i12]Durgakant Pushp, Junhong Xu, Zheng Chen, Lantao Liu:
Context-Generative Default Policy for Bounded Rational Agent. CoRR abs/2409.11604 (2024) - 2023
- [c12]Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu:
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. ICRA 2023: 3008-3014 - [c11]Durgakant Pushp, Junhong Xu, Lantao Liu:
Coordination of Bounded Rational Drones Through Informed Prior Policy. IROS 2023: 6779-6786 - [i11]Ihab S. Mohamed, Junhong Xu, Gaurav S. Sukhatme, Lantao Liu:
Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. CoRR abs/2306.12369 (2023) - [i10]Durgakant Pushp, Junhong Xu, Lantao Liu:
Coordination of Bounded Rational Drones through Informed Prior Policy. CoRR abs/2307.15798 (2023) - 2022
- [c10]Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu:
Decision-Making Among Bounded Rational Agents. DARS 2022: 273-285 - [i9]Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu:
Decision-Making Among Bounded Rational Agents. CoRR abs/2210.08672 (2022) - [i8]Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu:
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. CoRR abs/2210.08679 (2022) - 2021
- [j5]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): 93-101 (2021) - [c9]Lixing Song, Junheng Wang, Junhong Xu:
A Data-Efficient Reinforcement Learning Method Based on Local Koopman Operators. ICMLA 2021: 515-520 - [i7]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 abs/2111.08748 (2021) - 2020
- [j4]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): 5589-5596 (2020) - [c8]Junhong Xu, Kai Yin, Lantao Liu:
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. IROS 2020: 2410-2416 - [c7]Junhong Xu, Kai Yin, Lantao Liu:
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. Robotics: Science and Systems 2020 - [i6]Junhong Xu, Kai Yin, Lantao Liu:
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. CoRR abs/2006.02008 (2020) - [i5]Junhong Xu, Kai Yin, Lantao Liu:
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. CoRR abs/2009.03733 (2020)
2010 – 2019
- 2019
- [j3]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: 705-714 (2019) - [c6]Junhong Xu, Kai Yin, Lantao Liu:
Reachable Space Characterization of Markov Decision Processes with Time Variability. Robotics: Science and Systems 2019 - [i4]Junhong Xu, Kai Yin, Lantao Liu:
State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning. CoRR abs/1903.00948 (2019) - [i3]Junhong Xu, Kai Yin, Lantao Liu:
Reachable Space Characterization of Markov Decision Processes with Time Variability. CoRR abs/1905.09342 (2019) - 2018
- [j2]Shaoen Wu, Junhong Xu, Shangyue Zhu, Hanqing Guo:
A Deep Residual convolutional neural network for facial keypoint detection with missing labels. Signal Process. 144: 384-391 (2018) - [c5]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: 1-6 - [c4]Junhong Xu, Qiwei Liu, Hanqing Guo, Aaron Kageza, Saeed AlQarni, Shaoen Wu:
Shared Multi-Task Imitation Learning for Indoor Self-Navigation. GLOBECOM 2018: 1-7 - [c3]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: 1-6 - [c2]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: 779-783 - [c1]Shangyue Zhu, Hanqing Guo, Junhong Xu, Shaoen Wu:
Distance Based User Localization and Tracking with Mechanical Ultrasonic Beamforming. ICNC 2018: 827-831 - [i2]Junhong Xu, Qiwei Liu, Hanqing Guo, Aaron Kageza, Saeed AlQarni, Shaoen Wu:
Shared Multi-Task Imitation Learning for Indoor Self-Navigation. CoRR abs/1808.04503 (2018) - 2017
- [j1]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): 636-644 (2017) - [i1]Junhong Xu, Shangyue Zhu, Hanqing Guo, Shaoen Wu:
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning. CoRR abs/1709.07911 (2017)
Coauthor Index
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