Yongqian Xiao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Motion Planning

Multiagent Reinforcement Learning

Autonomous Vehicles

Top Venues

IEEE Trans. Intell. Veh.

CAAI Trans. Intell. Technol.

Publications

Yang Lu, Weijia Yao, Yongqian Xiao, Xin Xu
Vector Field-Guided Learning Predictive Control for Motion Planning of Mobile Robots with Unknown Dynamics. CoRR (2024)
Yongqian Xiao, Zixin Tang, Xin Xu, Xinglong Zhang, Yifei Shi
A deep Koopman operator-based modelling approach for long-term prediction of dynamics with pixel-level measurements. CAAI Trans. Intell. Technol. 9 (1) (2024)
Hao Gao, Xing Zhou, Xin Xu, Yixing Lan, Yongqian Xiao
AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Yongqian Xiao, Xinglong Zhang, Xin Xu, Xueqing Liu, Jiahang Liu
Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles. IEEE Trans. Intell. Veh. 8 (1) (2023)
Yongqian Xiao, Xinglong Zhang, Xin Xu, Yang Lu, Junxiang Li
DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles. ICRA (2023)
Yongqian Xiao, Xin Xu, Qianli Lin
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels. CoRR (2021)
Yongqian Xiao
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles. CoRR (2021)
Yongqian Xiao, Xinglong Zhang, Xin Xu, Xueqing Liu, Jiahang Liu
A deep learning framework based on Koopman operator for data-driven modeling of vehicle dynamics. CoRR (2020)