Xiaojia Xiang

发表

Geometric Collocation Method on SO(3) with Application to Optimal Attitude Control of a 3D Rotating Rigid Body

Lincheng Shen, Lizhen Wu, Xiaojia Xiang, 2015 .

Reinforcement Learning with an Extended Classifier System in Zero-sum Markov Games

Hao Chen, Chang Wang, Xiaojia Xiang, 2019, 2019 IEEE International Conference on Agents (ICA).

Multi-UAV Coverage through Two-Step Auction in Dynamic Environments

Xiaojia Xiang, Yihao Sun, Chao Yan, 2022, Drones.

Towards Real-Time Path Planning through Deep Reinforcement Learning for a UAV in Dynamic Environments

Chao Yan, Xiaojia Xiang, Chang Wang, 2019, Journal of Intelligent & Robotic Systems.

Visual-based Online Control of Gimbal on the UAV for Target Tracking

Han Zhou, Xiaojia Xiang, Xingyu Liu, 2020, 2020 Chinese Automation Congress (CAC).

Data-driven augmented reality display and operations for UAV ground stations

Tianjiang Hu, Xiaojia Xiang, Xiaoyue Ji, 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).

Fixed-Wing UAVs flocking in continuous spaces: A deep reinforcement learning approach

Chang Wang, Chao Yan, Xiaojia Xiang, 2020, Robotics Auton. Syst..

Semi-Global Cooperative Output Regulation Problem for Heterogeneous Swarm Systems With Input Saturation Under Switching Network

Hongwei Song, Xiaojia Xiang, Lei Sun, 2019, IEEE Access.

Multimodal Fusion of Voice and Gesture Data for UAV Control

Xiaojia Xiang, Qin Tan, Han Zhou, 2022, Drones.

UAV Path Planning in Multi-Task Environments with Risks through Natural Language Understanding

Lizhen Wu, Xiaojia Xiang, Jie Li, 2023, Drones.

A Path Planning Algorithm for UAV Based on Improved Q-Learning

Xiaojia Xiang, Chao Yan, Xiaojia Xiang, 2018, 2018 2nd International Conference on Robotics and Automation Sciences (ICRAS).

Deep Reinforcement Learning of Collision-Free Flocking Policies for Multiple Fixed-Wing UAVs Using Local Situation Maps

Yuna Jiang, Chao Yan, Xiaojia Xiang, 2021, IEEE Transactions on Industrial Informatics.

Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning

Chao Yan, Xiaojia Xiang, Chang Wang, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring pdf

Fanglan Zheng, Jiang Tian, Xiaojia Xiang, 2020, ArXiv.

A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs

Chao Yan, Xiaojia Xiang, Han Zhou, 2019, ACML.

Research on obstacles avoidance technology For UAV based on improved PTAM algorithm

Lei Zhu, Dong Yin, Xiaojia Xiang, 2015, 2015 IEEE International Conference on Progress in Informatics and Computing (PIC).

Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling

Menghan Wang, Xiaojia Xiang, Kun Li, 2023, ArXiv.

Attention-Based Population-Invariant Deep Reinforcement Learning for Collision-Free Flocking with A Scalable Fixed-Wing UAV Swarm

Lincheng Shen, K. H. Low, Xiaojia Xiang, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Mission-Oriented Miniature Fixed-Wing UAV Swarms: A Multilayered and Distributed Architecture

Lincheng Shen, Yirui Cong, Xiangke Wang, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Tactical conflict resolution in urban airspace for unmanned aerial vehicles operations using attention-based deep reinforcement learning

K. H. Low, Xiaojia Xiang, Wei Dai, 2023, Green Energy and Intelligent Transportation.

Vision-Based Online Localization and Trajectory Smoothing for Fixed-Wing UAV Tracking a Moving Target

Tianjiang Hu, Yong Zhou, Dengqing Tang, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Towards end-to-end formation control for robotic fish via deep reinforcement learning with non-expert imitation

Xiaojia Xiang, Yi Zhu, Yihao Sun, 2023, Ocean Engineering.

A Scalable Deep Reinforcement Learning Algorithm for Partially Observable Pursuit-Evasion Game

Xiaojia Xiang, Yihao Sun, Bo-xi Lin, 2022, 2022 International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM).

Behavior automatic analysis for wolf pack hunting: making fast behavior analysis of massive data possible

Xiaojia Xiang, Tianjiang Hu, Han Zhou, 2023, Behavioral Ecology and Sociobiology.

MCGRAM: Linking Multi-Scale CNN With a Graph-Based Recurrent Attention Model for Subject-Independent ERP Detection

Xiaojia Xiang, Zixing Li, Chao Yan, 2022, IEEE Transactions on Circuits and Systems II: Express Briefs.