Exact explicit traveling wave solutions for two nonlinear Schrödinger type equations. - Yixiang Geng; Jibin Li 001; Lixiang Zhang (Appl. Math. Comput., 2010)

Bifurcations of traveling wave solutions for the magma equation. - Yixiang Geng; Lixiang Zhang (Appl. Math. Comput., 2010)

Application of memetic algorithm in control of linear inverted pendulum. - Jing Zhang; Lixiang Zhang; Jing Xie (CCIS, 2011)

An Improved Tentative Q Learning Algorithm for Robot Learning. - Lixiang Zhang; Yian Zhu; Junhua Duan (BICS, 2018)

Deep Variable-Block Chain with Adaptive Variable Selection. - Lixiang Zhang; Lin Lin; Jia Li (CoRR, 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)

CPS analysis: self-contained validation of biomedical data clustering. - Lixiang Zhang; Lin Lin 003; Jia Li 001 (Bioinform., 2020)

Intelligent Scheduling Strategy of Electric Locomotive Robots for Underground Mining. - Xuanxuan Yan; Huawei Jin; Ziming Kou; Lixiang Zhang; Naiping Niu (IEEE Access, 2021)

Attentive Hybrid Recurrent Neural Networks for sequential recommendation. - Lixiang Zhang; Peisen Wang; Jingchen Li; Zhiwei Xiao; Haobin Shi (Neural Comput. Appl., 2021)

Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training. - Lixiang Zhang; Jia Li (CoRR, 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)

Distributed Real-Time Scheduling in Cloud Manufacturing by Deep Reinforcement Learning. - Lixiang Zhang; Chen Yang 011; Yan Yan 008; Yaoguang Hu (IEEE Trans. Ind. Informatics, 2022)

Mindlin Plate. - Lixiang Zhang (IEEE DataPort, 2022)

Integrated Scheduling of Flexible Job Shop and Energy-Efficient Automated Guided Vehicles. - Lixiang Zhang; Yan Yan; Yaoguang Hu (ICARM, 2023)

Smoothing analysis of two-color distributive relaxation for solving 2D Stokes flow by multigrid method. - Xingwen Zhu; Lixiang Zhang (CoRR, 2023)

Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data. - Lixiang Zhang; Lin Lin 003; Jia Li 001 (PLoS Comput. Biol., 2023)

Robust deep neural network surrogate models with uncertainty quantification via adversarial training. - Lixiang Zhang; Jia Li (Stat. Anal. Data Min., 2023)

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)

Multi-agent policy learning-based path planning for autonomous mobile robots. - Lixiang Zhang; Ze Cai; Yan Yan 008; Chen Yang 011; Yaoguang Hu (Eng. Appl. Artif. Intell., 2024)

Dynamic flexible scheduling with transportation constraints by multi-agent reinforcement learning. - Lixiang Zhang; Yan Yan; Yaoguang Hu (Eng. Appl. Artif. Intell., 2024)

Hierarchical Spectral-Spatial Transformer for Hyperspectral and Multispectral Image Fusion. - Tianxing Zhu; Qin Liu; Lixiang Zhang (Remote. Sens., 2024)

Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles. - Lixiang Zhang; Yan Yan; Yaoguang Hu (J. Intell. Manuf., 2024)

A transfer reinforcement learning and digital-twin based task allocation method for human-robot collaboration assembly. - Jingfei Wang; Yan Yan; Yaoguang Hu; Xiaonan Yang; Lixiang Zhang (Eng. Appl. Artif. Intell., 2025)