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08/24/2023
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments
Many real-world optimization problems possess dynamic characteristics. E...
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07/10/2023
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search
Cognitive diagnosis plays a vital role in modern intelligent education p...
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07/10/2023
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment
The problem of how to assess cross-modality medical image synthesis has ...
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06/14/2023
Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions
Optimizing building configurations for an efficient use of energy is inc...
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06/03/2023
Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection
Popular Transformer networks have been successfully applied to remote se...
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04/06/2023
What makes a good data augmentation for few-shot unsupervised image anomaly detection?
Data augmentation is a promising technique for unsupervised anomaly dete...
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03/07/2023
Evolutionary Reinforcement Learning: A Survey
Reinforcement learning (RL) is a machine learning approach that trains a...
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02/28/2023
Augmented Transformers with Adaptive n-grams Embedding for Multilingual Scene Text Recognition
While vision transformers have been highly successful in improving the p...
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01/31/2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Image anomaly detection (IAD) is an emerging and vital computer vision t...
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01/29/2023
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation
During the past decades, evolutionary computation (EC) has demonstrated ...
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01/28/2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
In the area of fewshot anomaly detection (FSAD), efficient visual featur...
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01/27/2023
Deep Industrial Image Anomaly Detection: A Survey
The recent rapid development of deep learning has laid a milestone in in...
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01/26/2023
A Graph Neural Network with Negative Message Passing for Graph Coloring
Graph neural networks have received increased attention over the past ye...
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11/21/2022
Intelligent Computing: The Latest Advances, Challenges and Future
Computing is a critical driving force in the development of human civili...
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10/27/2022
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location
The facility location problems (FLPs) are a typical class of NP-hard com...
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10/15/2022
A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm
Data-driven evolutionary algorithms usually aim to exploit the informati...
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09/20/2022
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning
In cooperative multi-agent reinforcement learning, centralized training ...
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08/25/2022
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives
Multi-objective optimization problems whose objectives have different ev...
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08/23/2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Over recent years, there has been a rapid development of deep learning (...
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08/08/2022
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
The ongoing advancements in network architecture design have led to rema...
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07/22/2022
Towards Fairness-Aware Multi-Objective Optimization
Recent years have seen the rapid development of fairness-aware machine l...
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07/12/2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures
Deep neural networks have been found vulnerable to adversarial attacks, ...
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06/07/2022
Recent Advances in Bayesian Optimization
Bayesian optimization has emerged at the forefront of expensive black-bo...
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06/03/2022
A Survey on Surrogate-assisted Efficient Neural Architecture Search
Neural architecture search (NAS) has become increasingly popular in the ...
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02/14/2022
A Survey of Visual Sensory Anomaly Detection
Visual sensory anomaly detection (AD) is an essential problem in compute...
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02/14/2022
A Survey of Cross-Modality Brain Image Synthesis
The existence of completely aligned and paired multi-modal neuroimaging ...
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02/14/2022
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
Self-supervised learning (SSL) has become a popular method for generatin...
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01/29/2022
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss
The existence of completely aligned and paired multi-modal neuroimaging ...
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01/22/2022
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis
Utilizing the paired multi-modal neuroimaging data has been proved to be...
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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...
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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...
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06/12/2021
Federated Learning on Non-IID Data: A Survey
Federated learning is an emerging distributed machine learning framework...
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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...
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03/12/2021
Information Maximization Clustering via Multi-View Self-Labelling
Image clustering is a particularly challenging computer vision task, whi...
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02/28/2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
Due to limited computational cost and energy consumption, most neural ne...
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02/16/2021
A Federated Data-Driven Evolutionary Algorithm
Data-driven evolutionary optimization has witnessed great success in sol...
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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...
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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...
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12/14/2020
Incremental Data-driven Optimization of Complex Systems in Nonstationary Environments
Existing work on data-driven optimization focuses on problems in static ...
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11/25/2020
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning
Homomorphic encryption is a very useful gradient protection technique us...
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11/08/2020
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Image clustering has recently attracted significant attention due to the...
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09/12/2020
From Federated Learning to Federated Neural Architecture Search: A Survey
Federated learning is a recently proposed distributed machine learning p...
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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 ...
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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...
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03/07/2020
Ternary Compression for Communication-Efficient Federated Learning
Learning over massive data stored in different locations is essential in...
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03/04/2020
Real-time Federated Evolutionary Neural Architecture Search
Federated learning is a distributed machine learning approach to privacy...
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12/23/2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Designing a controller for autonomous vehicles capable of providing adeq...
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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...
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10/20/2019
Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method
Motivation: Identifying interaction clusters of large gene regulatory ne...
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10/11/2019
