Liang Gao

ORCID

Publication Activity (10 Years)

Years Active: 2006-2025
Publications (10 Years): 352

Top Venues

Publications

Yuxin Li, Xinyu Li, Liang Gao, Zhibing Lu
Multi-agent deep reinforcement learning for dynamic reconfigurable shop scheduling considering batch processing and worker cooperation. Robotics Comput. Integr. Manuf. 91 (2025)
Zhaofu Li, Liang Gao, Xinyu Li, Yiping Gao
ACAT-transformer: Adaptive classifier with attention-wise transformation for few-sample surface defect recognition. Adv. Eng. Informatics 61 (2024)
Yue Teng, Xinyu Li, Liang Gao, Jin Xie, Yang Li
An improved co-evolutionary memetic algorithm based on novel schedule type and unconditional feasibility for hybrid flow-shop scheduling problem. Comput. Ind. Eng. 193 (2024)
Chao Lu, Jiajun Zhou, Liang Gao, Xinyu Li, Junliang Wang
Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop. Appl. Soft Comput. 156 (2024)
Youjie Yao, Qingzheng Wang, Cuiyu Wang, Xinyu Li, Liang Gao, Kai Xia
Knowledge-based multi-objective evolutionary algorithm for energy-efficient flexible job shop scheduling with mobile robot transportation. Adv. Eng. Informatics 62 (2024)
Biao Han, Quan-Ke Pan, Liang Gao
A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem. Int. J. Prod. Res. 62 (12) (2024)
Junfei Du, Xinyu Li, Liang Gao, Yiping Gao
Desirable Properties Based Neural Network Explanations Evaluation Method for Fault Diagnosis. ICIC (LNAI 4) (2024)
Qian Wan, Yunkang Cao, Liang Gao, Xinyu Li, Yiping Gao
Deep Feature Contrasting for Industrial Image Anomaly Segmentation. IEEE Trans. Instrum. Meas. 73 (2024)
Kaipu Wang, Yibing Li, Jun Guo, Liang Gao, Xinyu Li
Dynamic Balancing of U-Shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach. IEEE Trans. Ind. Informatics 20 (4) (2024)
Jiaxin Fan, Chunjiang Zhang, Shichen Tian, Weiming Shen, Liang Gao
Flexible job-shop scheduling problem with variable lot-sizing: An early release policy-based matheuristic. Comput. Ind. Eng. 193 (2024)
Jin-Shuai Dong, Quan-Ke Pan, Zhong-Hua Miao, Hong-yan Sang, Liang Gao
An effective multi-objective evolutionary algorithm for multiple spraying robots task assignment problem. Swarm Evol. Comput. 87 (2024)
Weixiong Jiang, Jun Wu, Haiping Zhu, Liang Gao
Multimodel Fusion Health Assessment for Multistate Industrial Robot via Fuzzy Deep Residual Shrinkage Network and Versatile Cluster. IEEE Trans. Fuzzy Syst. 32 (8) (2024)
Hongjin Wu, Ruoshan Lei, Yibing Peng, Liang Gao
AAGNet: A graph neural network towards multi-task machining feature recognition. Robotics Comput. Integr. Manuf. 86 (2024)
Yiping Gao, Xinyu Li, Liang Gao
A Multi-level spatial feature fusion-based transformer for intelligent defect recognition with small samples toward smart manufacturing system. Int. J. Comput. Integr. Manuf. 37 (1-2) (2024)
Haoran Li, Xinyu Li, Liang Gao
An iterated greedy algorithm with acceleration of job allocation probability for distributed heterogeneous permutation flowshop scheduling problem. Swarm Evol. Comput. 88 (2024)
Chen Sun, Liang Gao, Xinyu Li, Pai Zheng, Yiping Gao
An Incremental Knowledge Learning Framework for Continuous Defect Detection. IEEE Trans. Instrum. Meas. 73 (2024)
Youjie Yao, Xinyu Li, Liang Gao
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs. Swarm Evol. Comput. 87 (2024)
You-Jie Yao, Lin Gui, Xinyu Li, Liang Gao
Tabu search based on novel neighborhood structures for solving job shop scheduling problem integrating finite transportation resources. Robotics Comput. Integr. Manuf. 89 (2024)
Yunkang Cao, Xiaohao Xu, Chen Sun, Liang Gao, Weiming Shen
BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization. IEEE Trans. Syst. Man Cybern. Syst. 54 (4) (2024)
Wei Li, Xiaowei Zhou, Haihong Huang, Akhil Garg, Liang Gao
Risk-Based Design Optimization via Scenario Generation and Genetic Programming Under Hybrid Uncertainties. J. Comput. Inf. Sci. Eng. 24 (10) (2024)
Shichen Tian, Chunjiang Zhang, Jiaxin Fan, Xinyu Li, Liang Gao
A genetic algorithm with critical path-based variable neighborhood search for distributed assembly job shop scheduling problem. Swarm Evol. Comput. 85 (2024)
Jiajun Zhou, Yun Tian, Liang Gao, Chao Lu, Xifan Yao
Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches. Adv. Eng. Informatics 60 (2024)
Jiahang Li, Liang Gao, Xinyu Li
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications. Swarm Evol. Comput. 84 (2024)
Li Wang, Yiping Gao, Xinyu Li, Liang Gao
Self-Supervised-Enabled Open-Set Cross-Domain Fault Diagnosis Method for Rotating Machinery. IEEE Trans. Ind. Informatics 20 (8) (2024)
Fei Ming, Wenyin Gong, Ling Wang, Liang Gao
Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer. IEEE Trans. Evol. Comput. 28 (1) (2024)
Jiahang Li, Xinyu Li, Liang Gao
An operator-inspired framework for metaheuristics and its applications on job-shop scheduling problems. Appl. Soft Comput. 157 (2024)
Ze-Cheng Wang, Quan-Ke Pan, Liang Gao, Zhong-Hua Miao, Hongyan Sang
A variable-representation discrete artificial bee colony algorithm for a constrained hybrid flow shop. Expert Syst. Appl. 254 (2024)
Ying Zhou, Liang Gao, Hao Li
A ready-to-manufacture optimization design of 3D chiral auxetics for additive manufacturing. Eng. Comput. 40 (3) (2024)
Zan Yang, Sheng Chu, Jiansheng Liu, Haobo Qiu, Mi Xiao, Liang Gao
Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization. Swarm Evol. Comput. 84 (2024)
Sihan Wang, Xinyu Li, Liang Gao, Jiahang Li
A multi-disjunctive-graph model-based memetic algorithm for the distributed job shop scheduling problem. Adv. Eng. Informatics 60 (2024)
Lin Gui, Xinyu Li, Qingfu Zhang, Liang Gao
A uniform sampling method for permutation space. Ann. Oper. Res. 338 (2) (2024)
Haojie Chen, Xinyu Li, Liang Gao
A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem. Int. J. Prod. Res. 62 (16) (2024)
Jiang-Ping Huang, Liang Gao, Xinyu Li
An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem. Expert Syst. Appl. 238 (Part A) (2024)
Dapeng Wang, Haobo Qiu, Liang Gao, Chen Jiang
A Subdomain uncertainty-guided Kriging method with optimized feasibility metric for time-dependent reliability analysis. Reliab. Eng. Syst. Saf. 243 (2024)
Fan Li, Liang Gao, Weiming Shen
Surrogate-Assisted Multi-Objective Evolutionary Optimization With Pareto Front Model-Based Local Search Method. IEEE Trans. Cybern. 54 (1) (2024)
Yuanhao Liu, Zan Yang, Danyang Xu, Haobo Qiu, Liang Gao
A Kriging-assisted Double Population Differential Evolution for Mixed-Integer Expensive Constrained Optimization Problems with Mixed Constraints. Swarm Evol. Comput. 84 (2024)
Hanghao Cui, Xinyu Li, Liang Gao, Chunjiang Zhang
Multi-population genetic algorithm with greedy job insertion inter-factory neighbourhoods for multi-objective distributed hybrid flow-shop scheduling with unrelated-parallel machines considering tardiness. Int. J. Prod. Res. 62 (12) (2024)
Hang Li, Hao Li, Liang Gao, Yongfeng Zheng, Jiajing Li, Peigen Li
Topology optimization of multi-phase shell-infill composite structure for additive manufacturing. Eng. Comput. 40 (2) (2024)
Xuesong Yan, Xing Guo, Jin Chen, Chengyu Hu, Wenyin Gong, Liang Gao
Learning-Driven Dynamic Multimodal Optimization Algorithm for Real-Time Traceability of Water Pollution. IEEE Trans. Artif. Intell. 5 (6) (2024)
Xiao Zhang, Jie Gao, Liang Gao, Mi Xiao
B-ITO: A MATLAB toolbox for isogeometric topology optimization with Bézier extraction of NURBS. Adv. Eng. Softw. 191 (2024)
Jin Xie, Liang Gao, Xinyu Li, Lin Gui
A hybrid genetic tabu search algorithm for distributed job-shop scheduling problems. Swarm Evol. Comput. 90 (2024)
Fei Ming, Wenyin Gong, Huixiang Zhen, Ling Wang, Liang Gao
Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems. Eng. Appl. Artif. Intell. 135 (2024)
Qihao Liu, Xinyu Li, Liang Gao, Jiaxin Fan
A Multi-MILP Model Collaborative Optimization Method for Integrated Process Planning and Scheduling Problem. IEEE Trans. Engineering Management 71 (2024)
Hongkang Tao, Jiansheng Liu, Zan Yang, Guhong Wang, Jie Shang, Haobo Qiu, Liang Gao
Revolutionizing flame detection: Novelization in flame detection through transferring distillation for knowledge to pruned model. Expert Syst. Appl. 249 (2024)
Dapeng Wang, Haobo Qiu, Liang Gao
A Subdomain Uncertainty-Guided Kriging Method with Subset Simulation for Reliability Estimation. CSCWD (2023)
Fan Li, Liang Gao, Weiming Shen, Akhil Garg
Surrogate-assisted multi-objective evolutionary optimization with a multi-offspring method and two infill criteria. Swarm Evol. Comput. 79 (2023)
Guokai Liu, Weiming Shen, Liang Gao, Andrew Kusiak
Active Broad-Transfer Learning Algorithm for Class-Imbalanced Fault Diagnosis. IEEE Trans. Instrum. Meas. 72 (2023)
Shuai Chen, Quan-Ke Pan, Liang Gao, Zhong-Hua Miao, Chen Peng
Energy-efficient distributed heterogeneous blocking flowshop scheduling problem using a knowledge-based iterated Pareto greedy algorithm. Neural Comput. Appl. 35 (9) (2023)
Jiaxin Fan, Yingli Li, Jin Xie, Chunjiang Zhang, Weiming Shen, Liang Gao
A Hybrid Evolutionary Algorithm Using Two Solution Representations for Hybrid Flow-Shop Scheduling Problem. IEEE Trans. Cybern. 53 (3) (2023)
Ying-Ying Huang, Quan-Ke Pan, Liang Gao
An effective memetic algorithm for the distributed flowshop scheduling problem with an assemble machine. Int. J. Prod. Res. 61 (6) (2023)
Jianhui Mou, Peiyong Duan, Liang Gao, Quanke Pan, Kaizhou Gao, Amit Kumar Singh
Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System. IEEE Trans. Intell. Transp. Syst. 24 (4) (2023)
Haizhu Bao, Quanke Pan, Rubén Ruiz, Liang Gao
A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling. Swarm Evol. Comput. 83 (2023)
Xuan He, Quan-Ke Pan, Liang Gao, Janis S. Neufeld
An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem. Eur. J. Oper. Res. 310 (2) (2023)
Haojie Chen, Xinyu Li, Liang Gao
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem. Swarm Evol. Comput. 83 (2023)
Jiajun Zhou, Liang Gao, Chao Lu
Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning. Adv. Eng. Informatics 56 (2023)
Yuwen Zhai, Jing Hao, Liang Gao, Xinyu Li, Yiping Gao, Shumin Han
Simple Parameter-free Self-attention Approximation. Tiny Papers @ ICLR (2023)
Xuan He, Quan-Ke Pan, Liang Gao, Ling Wang, Ponnuthurai Nagaratnam Suganthan
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems. IEEE Trans. Evol. Comput. 27 (3) (2023)
Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Liang Gao, Weiming Shen
Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection. CoRR (2023)
Zan Yang, Haobo Qiu, Liang Gao, Liming Chen, Jiansheng Liu
Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization. Inf. Sci. 639 (2023)
Zhi-Yuan Wang, Quan-Ke Pan, Liang Gao, Xue-Lei Jing, Qing Sun
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times. Swarm Evol. Comput. 79 (2023)
Zan Yang, Haobo Qiu, Liang Gao, Danyang Xu, Yuanhao Liu
A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems. Inf. Sci. 619 (2023)
Yuwen Zhai, Jing Hao, Liang Gao, Xinyu Li, Yiping Gao, Shumin Han
Simple parameter-free self-attention approximation. CoRR (2023)
Xiwen Cai, Gan Ruan, Bo Yuan, Liang Gao
Complementary surrogate-assisted differential evolution algorithm for expensive multi-objective problems under a limited computational budget. Inf. Sci. 632 (2023)
Long Wen, Shaoquan Su, Bin Wang, Jian Ge, Liang Gao, Ke Lin
A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation. Eng. Appl. Artif. Intell. 126 (2023)
Fei Ming, Wenyin Gong, Liang Gao
Adaptive Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Feature]. IEEE Comput. Intell. Mag. 18 (2) (2023)
Bin Wang, Long Wen, Xinyu Li, Liang Gao
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions. IEEE Trans. Instrum. Meas. 72 (2023)
Lin Gui, Ling Fu, Xinyu Li, Wei Zhou, Liang Gao, Zhimou Xiang, Wei Zhu
Optimisation framework and method for solving the serial dual-shop collaborative scheduling problem. Int. J. Prod. Res. 61 (13) (2023)
Lei Zuo, Hongyong Xiao, Long Wen, Liang Gao
A Pixel-Level Segmentation Convolutional Neural Network Based on Global and Local Feature Fusion for Surface Defect Detection. IEEE Trans. Instrum. Meas. 72 (2023)
Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Zongwei Du, Liang Gao, Weiming Shen
Segment Any Anomaly without Training via Hybrid Prompt Regularization. CoRR (2023)
Qihao Liu, Cuiyu Wang, Xinyu Li, Liang Gao
A multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system. Eng. Appl. Artif. Intell. 126 (2023)
Xiwen Cai, Tao Zou, Liang Gao
Surrogate-assisted operator-repeated evolutionary algorithm for computationally expensive multi-objective problems. Appl. Soft Comput. 147 (2023)
Qian Wan, Liang Gao, Xinyu Li, Long Wen
Unsupervised Image Anomaly Detection and Segmentation Based on Pretrained Feature Mapping. IEEE Trans. Ind. Informatics 19 (3) (2023)
Qihao Liu, Xinyu Li, Liang Gao, Jiaxin Fan
Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems. J. Oper. Res. Soc. 74 (9) (2023)
Yang Li, Xinyu Li, Liang Gao
An Effective Solution Space Clipping-Based Algorithm for Large-Scale Permutation Flow Shop Scheduling Problem. IEEE Trans. Syst. Man Cybern. Syst. 53 (1) (2023)
Xingchen Ye, Liang Gao, Xinyu Li, Long Wen
A new hyper-parameter optimization method for machine learning in fault classification. Appl. Intell. 53 (11) (2023)
Zongwei Du, Liang Gao, Xinyu Li
A New Contrastive GAN With Data Augmentation for Surface Defect Recognition Under Limited Data. IEEE Trans. Instrum. Meas. 72 (2023)
Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang, Liang Gao, Aolei Yang, Miao Rong
Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem. Knowl. Based Syst. 278 (2023)
Yiping Gao, Liang Gao, Xinyu Li
A hierarchical training-convolutional neural network with feature alignment for steel surface defect recognition. Robotics Comput. Integr. Manuf. 81 (2023)
Yang Li, Xinyu Li, Liang Gao, Cuiyu Wang, Yue Teng
Distributed Permutation Flow Shop Scheduling Method Based on Efficient Job Allocation Strategy. IEEM (2023)
Jiajun Zhou, Shijie Rao, Liang Gao
An ensemble knowledge transfer framework for evolutionary multi-task optimization. Swarm Evol. Comput. 83 (2023)
Shichen Tian, Zhiyun Deng, Jiaxin Fan, Chunjiang Zhang, Weiming Shen, Liang Gao
A Variable Neighborhood Search Algorithm for Heat Pipe-Constrained Component Layout Optimization. CSCWD (2023)
Youjie Yao, Cuiyu Wang, Yiping Gao, Xinyu Li, Liang Gao
An Adaptive Discrete Whale Swarm Algorithm for the Distributed Job-Shop Scheduling Problem with Limited AGVs. CASE (2023)
Jiajun Zhou, Liang Gao, Chao Lu, Xifan Yao
Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform. Robotics Comput. Integr. Manuf. 80 (2023)
Jiang-Ping Huang, Liang Gao, Xinyu Li, Chun-Jiang Zhang
A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals. Comput. Ind. Eng. 185 (2023)
Yuanhao Liu, Zan Yang, Danyang Xu, Haobo Qiu, Liang Gao
A surrogate-assisted differential evolution for expensive constrained optimization problems involving mixed-integer variables. Inf. Sci. 622 (2023)
Hanghao Cui, Xinyu Li, Liang Gao
An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem. Expert Syst. Appl. 222 (2023)
You Wang, Wentao Hu, Long Wen, Liang Gao
A New Foreground-Perception Cycle-Consistent Adversarial Network for Surface Defect Detection With Limited High-Noise Samples. IEEE Trans. Ind. Informatics 19 (12) (2023)
Long Wen, Yang Zhang, Liang Gao, Xinyu Li, Min Li
A New Multiscale Multiattention Convolutional Neural Network for Fine-Grained Surface Defect Detection. IEEE Trans. Instrum. Meas. 72 (2023)
Jin Xie, Xinyu Li, Liang Gao, Lin Gui
A new neighbourhood structure for job shop scheduling problems. Int. J. Prod. Res. 61 (7) (2023)
Fei Ming, Wenyin Gong, Ling Wang, Liang Gao
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 7 (2) (2023)
Fei Ming, Wenyin Gong, Dongcheng Li, Ling Wang, Liang Gao
A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 27 (5) (2023)
Jiaxin Fan, Chunjiang Zhang, Weiming Shen, Liang Gao
A matheuristic for flexible job shop scheduling problem with lot-streaming and machine reconfigurations. Int. J. Prod. Res. 61 (19) (2023)
Kaipu Wang, Jun Guo, Baigang Du, Yibing Li, Hongtao Tang, Xinyu Li, Liang Gao
A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode. Comput. Ind. Eng. 186 (2023)
Fei Ming, Wenyin Gong, Ling Wang, Liang Gao
A Constrained Many-Objective Optimization Evolutionary Algorithm With Enhanced Mating and Environmental Selections. IEEE Trans. Cybern. 53 (8) (2023)
Jiajun Zhou, Shijie Rao, Liang Gao, Chunjiang Zhang, Hongtao Tang, Yun Li, Felix T. S. Chan
Solving many-task optimization problems via online intertask learning. Expert Syst. Appl. 225 (2023)
Fei Ming, Wenyin Gong, Ling Wang, Liang Gao
A Constraint-Handling Technique for Decomposition-Based Constrained Many-Objective Evolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Syst. 53 (12) (2023)
Qian Wan, Liang Gao, Xinyu Li
Logit Inducing With Abnormality Capturing for Semi-Supervised Image Anomaly Detection. IEEE Trans. Instrum. Meas. 71 (2022)
Long Wen, Liang Gao, Xinyu Li, Hui Li
A new genetic algorithm based evolutionary neural architecture search for image classification. Swarm Evol. Comput. 75 (2022)
Meng Zhao, Liang Gao, Xinyu Li
A random forest-based job shop rescheduling decision model with machine failures. J. Ambient Intell. Humaniz. Comput. 13 (7) (2022)
Guangchen Wang, Xinyu Li, Liang Gao, Peigen Li
An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop. Ann. Oper. Res. 310 (1) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liang Gao