Xin Yao

Xin Yao

University of Birmingham

H-index: 122

Europe-United Kingdom

About Xin Yao

Xin Yao, With an exceptional h-index of 122 and a recent h-index of 75 (since 2020), a distinguished researcher at University of Birmingham, specializes in the field of Evolutionary Computation, Evolutionary Algorithms, Computational Intelligence, Neural Networks, SBSE.

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

(µ+ λ) Evolution Strategy with Socio-cognitive Mutation

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

Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights

Multi-objective Feature Attribution Explanation For Explainable Machine Learning

Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training

MOEA/D With Spatial-Temporal Topological Tensor Prediction for Evolutionary Dynamic Multiobjective Optimization

Evolutionary Reinforcement Learning via Cooperative Coevolution

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning

Xin Yao Information

University

Position

Southern University of Science and Technology (SUSTech) and

Citations(all)

74456

Citations(since 2020)

29511

Cited By

56630

hIndex(all)

122

hIndex(since 2020)

75

i10Index(all)

625

i10Index(since 2020)

405

Email

University Profile Page

University of Birmingham

Google Scholar

View Google Scholar Profile

Xin Yao Skills & Research Interests

Evolutionary Computation

Evolutionary Algorithms

Computational Intelligence

Neural Networks

SBSE

Top articles of Xin Yao

Title

Journal

Author(s)

Publication Date

(µ+ λ) Evolution Strategy with Socio-cognitive Mutation

Journal of Automation, Mobile Robotics and Intelligent Systems

Aleksandra Urbańczyk

Krzysztof Kucaba

Mateusz Wojtulewicz

Marek Kisiel-Dorohinicki

Leszek Rutkowski

...

2024/4/4

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

Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights

IEEE Transactions on Knowledge and Data Engineering

Shuxian Li

Liyan Song

Xiaoyu Wu

Zheng Hu

Yiu-ming Cheung

...

2024/4/4

Multi-objective Feature Attribution Explanation For Explainable Machine Learning

ACM Transactions on Evolutionary Learning

Ziming Wang

Changwu Huang

Yun Li

Xin Yao

2024/2/23

Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training

Proceedings of the AAAI Conference on Artificial Intelligence

Chao Pan

Qing Li

Xin Yao

2024/3/24

MOEA/D With Spatial-Temporal Topological Tensor Prediction for Evolutionary Dynamic Multiobjective Optimization

IEEE Transactions on Evolutionary Computation

Xianpeng Wang

Yumeng Zhao

Lixin Tang

Xin Yao

2024/2/20

Evolutionary Reinforcement Learning via Cooperative Coevolution

arXiv preprint arXiv:2404.14763

Chengpeng Hu

Jialin Liu

Xin Yao

2024/4/23

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Dashan Gao

Sheng Wan

Lixin Fan

Xin Yao

Qiang Yang

2024/3/24

A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem

Swarm and Evolutionary Computation

Daniel Herring

Michael Kirley

Xin Yao

2024/2/1

FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes]

IEEE Computational Intelligence Magazine

Bo Yuan

Shenhao Gui

Qingquan Zhang

Ziqi Wang

Junyi Wen

...

2024/4/5

Learning to Expand/Contract Pareto Sets in Dynamic Multi-Objective Optimization With a Changing Number of Objectives

IEEE Transactions on Evolutionary Computation

Gan Ruan

Leandro L Minku

Stefan Menzel

Bernhard Sendhoff

Xin Yao

2024/3/14

On Estimating the Feasible Solution Space of Multi-Objective Testing Resource Allocation

ACM Transactions on Software Engineering and Methodology

Guofu Zhang

Lei Li

Zhaopin Su

Feng Yue

Yang Chen

...

2024

Engine Calibration With Surrogate-Assisted Bilevel Evolutionary Algorithm

IEEE Transactions on Cybernetics

Xunzhao Yu

Yan Wang

Ling Zhu

Dimitar Filev

Xin Yao

2023/5/1

Interactive evolutionary multi-objective optimization via learning-to-rank

Seyed Mahdi Shavarani

2022

An iterative machine learning approach to informative performance reporting in dynamic multi-objective optimization

Daniel Herring

Michael Kirley

Xin Yao

2023/7/15

Negatively Correlated Search for Constrained Optimization

Yuan Li

Xiaofen Lu

Xin Yao

2023/7/1

Constrained Reinforcement Learning for Dynamic Material Handling

Chengpeng Hu

Ziming Wang

Jialin Liu

Junyi Wen

Bifei Mao

...

2023/6/18

Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]

IEEE Computational Intelligence Magazine

Ming Yang

Jie Gao

Aimin Zhou

Changhe Li

Xin Yao

2023/7/19

Socio-cognitive caste-based optimization

Journal of Computational Science

Aleksandra Urbańczyk

Piotr Kipiński

Mateusz Nabywaniec

Leszek Rutkowski

Siang Yew Chong

...

2023/9/1

Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels

arXiv preprint arXiv:2311.10502

Jun He

Siang Yew Chong

Xin Yao

2023/11/17

See List of Professors in Xin Yao University(University of Birmingham)