Xiaodong Li, IEEE Fellow

Xiaodong Li, IEEE Fellow

RMIT University

H-index: 61

Oceania-Australia

About Xiaodong Li, IEEE Fellow

Xiaodong Li, IEEE Fellow, With an exceptional h-index of 61 and a recent h-index of 44 (since 2020), a distinguished researcher at RMIT University, specializes in the field of Artificial Intelligence, Machine Learning, Evolutionary Computation, Large-Scale Optimization, Swarm Intelligence.

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

Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty

Enhancing constraint programming via supervised learning for job shop scheduling

A test suite for multi-objective multi-fidelity optimization

Rug-pull malicious token detection on blockchain using supervised learning with feature engineering

Adaptive solution prediction for combinatorial optimization

Learning to Generate Columns with Application to Vertex Coloring

Automatic meter error detection with a data-driven approach

Xiaodong Li, IEEE Fellow Information

University

Position

Professor School of Computing Technologies

Citations(all)

16573

Citations(since 2020)

8029

Cited By

11897

hIndex(all)

61

hIndex(since 2020)

44

i10Index(all)

163

i10Index(since 2020)

117

Email

University Profile Page

RMIT University

Google Scholar

View Google Scholar Profile

Xiaodong Li, IEEE Fellow Skills & Research Interests

Artificial Intelligence

Machine Learning

Evolutionary Computation

Large-Scale Optimization

Swarm Intelligence

Top articles of Xiaodong Li, IEEE Fellow

Title

Journal

Author(s)

Publication Date

Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes

arXiv preprint arXiv:2402.15731

Danial Yazdani

Juergen Branke

Mohammad Sadegh Khorshidi

Mohammad Nabi Omidvar

Xiaodong Li

...

2024/2/24

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty

International Journal of Production Research

Dhananjay Thiruvady

Su Nguyen

Yuan Sun

Fatemeh Shiri

Nayyar Zaidi

...

2024/2/2

Enhancing constraint programming via supervised learning for job shop scheduling

Knowledge-Based Systems

Yuan Sun

Su Nguyen

Dhananjay Thiruvady

Xiaodong Li

Andreas T Ernst

...

2024/3/26

A test suite for multi-objective multi-fidelity optimization

Angus Kenny

Tapabrata Ray

Hemant Kumar Singh

Xiaodong Li

2023/3/9

Rug-pull malicious token detection on blockchain using supervised learning with feature engineering

Minh Hoang Nguyen

Phuong Duy Huynh

Son Hoang Dau

Xiaodong Li

2023/1/30

Adaptive solution prediction for combinatorial optimization

European Journal of Operational Research

Yunzhuang Shen

Yuan Sun

Xiaodong Li

Andrew Eberhard

Andreas Ernst

2023/9/16

Learning to Generate Columns with Application to Vertex Coloring

Yuan Sun

Andreas T Ernst

Xiaodong Li

Jake Weiner

2023

Automatic meter error detection with a data-driven approach

Engineering Applications of Artificial Intelligence

Ruimin Chu

Li Chik

Jeffrey Chan

Kurt Gutzmann

Xiaodong Li

2023/8/1

Ranking constraint relaxations for mixed integer programs using a machine learning approach

EURO Journal on Computational Optimization

Jake Weiner

Andreas T Ernst

Xiaodong Li

Yuan Sun

2023/1/1

A genetic algorithm with trip-adjustment strategy for multi-depot electric bus scheduling problems

Engineering Optimization

Yahong Liu

Xingquan Zuo

Xiaodong Li

Shaokang Nie

2023/7/26

Large-Scale Optimization and Learning

Mohammad Nabi Omidvar

Yuan Sun

Xiaodong Li

2023/7/15

Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty

Swarm and Evolutionary Computation

Dhananjay Thiruvady

Su Nguyen

Fatemeh Shiri

Nayyar Zaidi

Xiaodong Li

2022/3/1

A review of population-based metaheuristics for large-scale black-box global optimization: Part II

M Omidvar

Xiaodong Li

Xin Yao

2022/10

A hybrid multiobjective GRASP for a multi-row facility layout problem with extra clearances

International Journal of Production Research

Xing Wan

Xingquan Zuo

Xiaodong Li

Xinchao Zhao

2022/2/1

A speciation-based bilevel niching method for multimodal truss design problems

Journal of Combinatorial Optimization

Md Jakirul Islam

Xiaodong Li

Kalyanmoy Deb

2022/8/1

Merged differential grouping for large-scale global optimization

IEEE Transactions on Evolutionary Computation

Xiaoliang Ma

Zhitao Huang

Xiaodong Li

Lei Wang

Yutao Qi

...

2022/1/20

Instance space analysis for the car sequencing problem

Annals of Operations Research

Yuan Sun

Samuel Esler

Dhananjay Thiruvady

Andreas T Ernst

Xiaodong Li

...

2022/7/9

Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring

Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)

Yuan Sun Yunzhuang Shen

Xiaodong Li

Andrew Eberhard

Andreas Ernst

2022

Boosting ant colony optimization via solution prediction and machine learning

Computers & Operations Research

Yuan Sun

Sheng Wang

Yunzhuang Shen

Xiaodong Li

Andreas T Ernst

...

2022/7/1

Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems

Hirad Assimi

Frank Neumann

Markus Wagner

Xiaodong Li

2022/4/4

See List of Professors in Xiaodong Li, IEEE Fellow University(RMIT University)

Co-Authors

H-index: 138
Kalyanmoy Deb

Kalyanmoy Deb

Michigan State University

H-index: 122
Xin Yao

Xin Yao

University of Birmingham

H-index: 119
R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub)

R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub)

Nanyang Technological University

H-index: 108
Xinghuo Yu

Xinghuo Yu

RMIT University

H-index: 47
Kai (Alex) Qin

Kai (Alex) Qin

Swinburne University of Technology

H-index: 44
Zexuan Zhu

Zexuan Zhu

Shenzhen University

academic-engine