Liang GAO

About Liang GAO

Liang GAO, With an exceptional h-index of 85 and a recent h-index of 78 (since 2020), a distinguished researcher at Huazhong University of Science and Technology, specializes in the field of intelligent algorithm, scheduling, design optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

AAGNet: A graph neural network towards multi-task machining feature recognition

An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem

Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization

Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times

A comprehensive numerical study based on topology optimization for cooling plates thermal design of battery packs

Health‐Aware Battery‐Fast‐Charging Strategy Using Thermal‐Aging Cell Model and Whale Optimization Algorithm

A ready-to-manufacture optimization design of 3D chiral auxetics for additive manufacturing

Time-dependent system reliability analysis using adaptive single-loop Kriging with probability of rejecting classification

Liang GAO Information

University

Position

Professor of Industrial Engineering

Citations(all)

28932

Citations(since 2020)

23577

Cited By

12717

hIndex(all)

85

hIndex(since 2020)

78

i10Index(all)

451

i10Index(since 2020)

430

Email

University Profile Page

Google Scholar

Liang GAO Skills & Research Interests

intelligent algorithm

scheduling

design optimization

Top articles of Liang GAO

AAGNet: A graph neural network towards multi-task machining feature recognition

Robotics and Computer-Integrated Manufacturing

2024/4/1

An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem

Expert Systems with Applications

2024/3/15

Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization

Swarm and Evolutionary Computation

2024/2/1

Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times

Omega

2024/2/1

A comprehensive numerical study based on topology optimization for cooling plates thermal design of battery packs

Applied Thermal Engineering

2024/1/15

Health‐Aware Battery‐Fast‐Charging Strategy Using Thermal‐Aging Cell Model and Whale Optimization Algorithm

Energy Technology

2024/1

A ready-to-manufacture optimization design of 3D chiral auxetics for additive manufacturing

Engineering with Computers

2023/8/9

Time-dependent system reliability analysis using adaptive single-loop Kriging with probability of rejecting classification

Structural and Multidisciplinary Optimization

2023/8

A novel priority dispatch rule generation method based on graph neural network and reinforcement learning for distributed job-shop scheduling

Journal of Manufacturing Systems

2023/8/1

An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries

Energy

2023/8/1

A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode

Computers & Industrial Engineering

2023/12/1

Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization

Information Sciences

2023/8/1

A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem

Swarm and Evolutionary Computation

2023/12/1

An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem

Expert Systems with Applications

2023/7/15

A Two-Stage Focal Transformer for Human–Robot Collaboration-Based Surface Defect Inspection

Journal of Manufacturing Science and Engineering

2023/12/1

Self-bridging metamaterials surpassing the theoretical limit of Poisson’s ratios

Nature Communications

2023/7/7

Cloud-Battery management system based health-aware battery fast charging architecture using error-correction strategy for electric vehicles

2023/12/1

Deep‐Learning‐Enabled Intelligent Design of Thermal Metamaterials

Advanced Materials

2023/8

Rational designs of mechanical metamaterials: Formulations, architectures, tessellations and prospects

2023/12/1

Topology optimization design of graded infills for 3D curved volume by a conformal sweeping method

Computer Methods in Applied Mechanics and Engineering

2023/7/1

See List of Professors in Liang GAO University(Huazhong University of Science and Technology)

Co-Authors

academic-engine