| Survey on prediction algorithms in smart homes S Wu, JB Rendall, MJ Smith, S Zhu, J Xu, H Wang, Q Yang, P Qin IEEE Internet of Things Journal 4 (3), 636-644, 2017 | 144 | 2017 |
| Indoor human activity recognition based on ambient radar with signal processing and machine learning S Zhu, J Xu, H Guo, Q Liu, S Wu, H Wang 2018 IEEE international conference on communications (ICC), 1-6, 2018 | 68 | 2018 |
| In-band full duplex wireless communications and networking for IoT devices: Progress, challenges and opportunities S Wu, H Guo, J Xu, S Zhu, H Wang Future Generation Computer Systems 92, 705-714, 2019 | 32 | 2019 |
| Automated labeling for robotic autonomous navigation through multi-sensory semi-supervised learning on big data J Xu, S Zhu, H Guo, S Wu IEEE Transactions on Big Data 7 (1), 93-101, 2019 | 25* | 2019 |
| A deep residual convolutional neural network for facial keypoint detection with missing labels S Wu, J Xu, S Zhu, H Guo Signal Processing 144, 384-391, 2018 | 25 | 2018 |
| Shared multi-task imitation learning for indoor self-navigation J Xu, Q Liu, H Guo, A Kageza, S AlQarni, S Wu 2018 IEEE global communications conference (GLOBECOM), 1-7, 2018 | 14 | 2018 |
| Reachable Space Characterization of Markov Decision Processes with Time Variability J Xu, Y Kai, L Liu Robotics: Science and Systems, 2019 | 13 | 2019 |
| A data-efficient reinforcement learning method based on local Koopman operators L Song, J Wang, J Xu 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 8 | 2021 |
| State-continuity approximation of markov decision processes via finite element methods for autonomous system planning J Xu, K Yin, L Liu IEEE Robotics and Automation Letters 5 (4), 5589-5596, 2020 | 8* | 2020 |
| Indoor multi-sensory self-supervised autonomous mobile robotic navigation J Xu, H Guo, S Wu 2018 IEEE international conference on industrial internet (ICII), 119-128, 2018 | 8 | 2018 |
| Towards efficient MPPI trajectory generation with unscented guidance: U-MPPI control strategy IS Mohamed, J Xu, GS Sukhatme, L Liu arXiv preprint arXiv:2306.12369, 2023 | 6 | 2023 |
| Causal inference for de-biasing motion estimation from robotic observational data J Xu, K Yin, JM Gregory, L Liu 2023 IEEE International Conference on Robotics and Automation (ICRA), 3008-3014, 2023 | 4 | 2023 |
| Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes J Xu, K Yin, L Liu Robotics: Science and Systems, 2020 | 3 | 2020 |
| Distance based user localization and tracking with mechanical ultrasonic beamforming S Zhu, H Guo, J Xu, S Wu 2018 International Conference on Computing, Networking and Communications …, 2018 | 3 | 2018 |
| Kernel-based Diffusion Approximated Markov Decision Processes for Autonomous Navigation and Control on Unstructured Terrains J Xu, K Yin, Z Chen, JM Gregory, EA Stump, L Liu The International Journal of Robotics Research, 2024 | 2* | 2024 |
| Decision-Making Among Bounded Rational Agents J Xu, D Pushp, K Yin, L Liu International Symposium on Distributed Autonomous Robotic Systems 2022 (DARS …, 2022 | 2 | 2022 |
| Coordination of Bounded Rational Drones Through Informed Prior Policy D Pushp, J Xu, L Liu 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 1 | 2023 |
| Online planning in uncertain and dynamic environment in the presence of multiple mobile vehicles J Xu, K Yin, L Liu 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 1 | 2020 |
| Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation Y Yu, J Xu, L Liu Conference on Robot Learning 2024, 2024 | | 2024 |
| Context-Generative Default Policy for Bounded Rational Agent D Pushp, J Xu, Z Chen, L Liu arXiv preprint arXiv:2409.11604, 2024 | | 2024 |
