Yaochu Jin

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University of Surrey

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Rui Wang
176 publications
Yu Chen
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Abhishek Gupta
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Bin Liu
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Jia Liu
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Yew Soon Ong
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Richard Bowden
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Feng Zheng
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∙ 08/30/2021

Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times

Most existing multiobjetive evolutionary algorithms (MOEAs) implicitly a...

Xilu Wang, et al. ∙

∙ 06/22/2021

A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization

Data-driven optimization has found many successful applications in the r...

Jinjin Xu, et al. ∙

∙ 06/12/2021

Federated Learning on Non-IID Data: A Survey

Federated learning is an emerging distributed machine learning framework...

Hangyu Zhu, et al. ∙

∙ 05/22/2021

Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics

In the past three decades, a large number of metaheuristics have been pr...

Ye Tian, et al. ∙

∙ 03/12/2021

Information Maximization Clustering via Multi-View Self-Labelling

Image clustering is a particularly challenging computer vision task, whi...

Foivos Ntelemis, et al. ∙

∙ 02/28/2021

Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search

Due to limited computational cost and energy consumption, most neural ne...

Guoyang Xie, et al. ∙

∙ 02/16/2021

A Federated Data-Driven Evolutionary Algorithm

Data-driven evolutionary optimization has witnessed great success in sol...

Jinjin Xu, et al. ∙

∙ 01/16/2021

Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks

Many existing deep learning models are vulnerable to adversarial example...

Jia Liu, et al. ∙

∙ 01/10/2021

Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification

Relation classification (RC) task is one of fundamental tasks of informa...

Yan Xiao, et al. ∙

∙ 12/14/2020

Incremental Data-driven Optimization of Complex Systems in Nonstationary Environments

Existing work on data-driven optimization focuses on problems in static ...

Cuie Yang, et al. ∙

∙ 11/25/2020

Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning

Homomorphic encryption is a very useful gradient protection technique us...

Hangyu Zhu, et al. ∙

∙ 11/08/2020

Image Clustering using an Augmented Generative Adversarial Network and Information Maximization

Image clustering has recently attracted significant attention due to the...

Foivos Ntelemis, et al. ∙

∙ 09/12/2020

From Federated Learning to Federated Neural Architecture Search: A Survey

Federated learning is a recently proposed distributed machine learning p...

Hangyu Zhu, et al. ∙

∙ 03/27/2020

Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm

Multi-label classification consists in classifying an instance into two ...

Thiago Zafalon Miranda, et al. ∙

∙ 03/07/2020

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search

The performance of a deep neural network is heavily dependent on its arc...

Haoyu Zhang, et al. ∙

∙ 03/07/2020

Ternary Compression for Communication-Efficient Federated Learning

Learning over massive data stored in different locations is essential in...

Jinjin Xu, et al. ∙

∙ 03/04/2020

Real-time Federated Evolutionary Neural Architecture Search

Federated learning is a distributed machine learning approach to privacy...

Hangyu Zhu, et al. ∙

∙ 12/23/2019

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Designing a controller for autonomous vehicles capable of providing adeq...

Sampo Kuutti, et al. ∙

∙ 11/14/2019

CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation

Accurately locating the start and end time of an action in untrimmed vid...

Yushuai Hu, et al. ∙

∙ 10/20/2019

Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method

Motivation: Identifying interaction clusters of large gene regulatory ne...

Yu Chen, et al. ∙

∙ 10/11/2019

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs)

Recently, more and more works have proposed to drive evolutionary algori...

Cheng He, et al. ∙

∙ 07/10/2019

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks

Recently, more and more works have proposed to drive evolutionary algori...

Cheng He, et al. ∙

∙ 03/18/2019

Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation

Federated learning obtains a central model on the server by aggregating ...

Yang Chen, et al. ∙

∙ 12/18/2018

Multi-objective Evolutionary Federated Learning

Federated learning is an emerging technique used to prevent the leakage ...

Hangyu Zhu, et al. ∙

∙ 08/28/2018

A Particle Filter based Multi-Objective Optimization Algorithm: PFOPS

This letter is concerned with a recently developed paradigm of populatio...

Bin Liu, et al. ∙

∙ 06/08/2017

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results

In this report, we suggest nine test problems for multi-task multi-objec...

Yuan Yuan, et al. ∙

∙ 02/20/2017

An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network

Polychronous neural groups are effective structures for the recognition ...

Joseph Chrol-Cannon, et al. ∙

∙ 01/04/2017

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization

Over the last three decades, a large number of evolutionary algorithms h...

Ye Tian, et al. ∙