Lixiang Zhang

According to our database, Lixiang Zhang authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles.

Lixiang Zhang, Yan Yan, Yaoguang Hu

J. Intell. Manuf., December, 2024

Dynamic flexible scheduling with transportation constraints by multi-agent reinforcement learning.

Lixiang Zhang, Yan Yan, Yaoguang Hu

Eng. Appl. Artif. Intell., 2024

Multi-agent policy learning-based path planning for autonomous mobile robots.

Lixiang Zhang, Ze Cai, Yan Yan, Chen Yang, Yaoguang Hu

Eng. Appl. Artif. Intell., 2024

Dynamic flexible job-shop scheduling by multi-agent reinforcement learning with reward-shaping.

Lixiang Zhang, Yan Yan, Chen Yang, Yaoguang Hu

Adv. Eng. Informatics, 2024

2023

Robust deep neural network surrogate models with uncertainty quantification via adversarial training.

Lixiang Zhang, Jia Li

Stat. Anal. Data Min., June, 2023

Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data.

Lixiang Zhang, Lin Lin, Jia Li

PLoS Comput. Biol., 2023

Smoothing analysis of two-color distributive relaxation for solving 2D Stokes flow by multigrid method.

Xingwen Zhu, Lixiang Zhang

CoRR, 2023

Integrated Scheduling of Flexible Job Shop and Energy-Efficient Automated Guided Vehicles.

Lixiang Zhang, Yan Yan, Yaoguang Hu

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022

Mindlin Plate.

Lixiang Zhang

Dataset, April, 2022

Distributed Real-Time Scheduling in Cloud Manufacturing by Deep Reinforcement Learning.

Lixiang Zhang, Chen Yang, Yan Yan, Yaoguang Hu

IEEE Trans. Ind. Informatics, 2022

Multi-agent reinforcement learning by the actor-critic model with an attention interface.

Lixiang Zhang, Jingchen Li, Yi'an Zhu, Haobin Shi, Kao-Shing Hwang

Neurocomputing, 2022

Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training.

Lixiang Zhang, Jia Li

CoRR, 2022

2021

Attentive Hybrid Recurrent Neural Networks for sequential recommendation.

Lixiang Zhang, Peisen Wang, Jingchen Li, Zhiwei Xiao, Haobin Shi

Neural Comput. Appl., 2021

Intelligent Scheduling Strategy of Electric Locomotive Robots for Underground Mining.

Xuanxuan Yan, Huawei Jin, Ziming Kou, Lixiang Zhang, Naiping Niu

IEEE Access, 2021

2020

CPS analysis: self-contained validation of biomedical data clustering.

Lixiang Zhang, Lin Lin, Jia Li

Bioinform., 2020

2019

Particle swarm optimization based multi-task parallel reinforcementlearning algorithm.

Junhua Duan, Yian Zhu, Dong Zhong, Lixiang Zhang, Lin Zhang

J. Intell. Fuzzy Syst., 2019

Deep Variable-Block Chain with Adaptive Variable Selection.

Lixiang Zhang, Lin Lin, Jia Li

CoRR, 2019

2018

An Improved Tentative Q Learning Algorithm for Robot Learning.

Lixiang Zhang, Yian Zhu, Junhua Duan

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2011

Application of memetic algorithm in control of linear inverted pendulum.

Jing Zhang, Lixiang Zhang, Jing Xie

Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

2010

Bifurcations of traveling wave solutions for the magma equation.

Yixiang Geng, Lixiang Zhang

Appl. Math. Comput., 2010

Exact explicit traveling wave solutions for two nonlinear Schrödinger type equations.

Yixiang Geng, Jibin Li, Lixiang Zhang

Appl. Math. Comput., 2010