research
∙
08/15/2021
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
This paper investigates the problem of reconstructing hyperspectral (HS)...
share
research
∙
08/12/2021
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
This paper investigates the problem of recovering hyperspectral (HS) ima...
research
∙
07/08/2021
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
Crowd counting is critical for numerous video surveillance scenarios. On...
research
∙
03/02/2021
Self-supervised Symmetric Nonnegative Matrix Factorization
Symmetric nonnegative matrix factorization (SNMF) has demonstrated to be...
research
∙
01/19/2021
Multiobjective Multitasking Optimization Based on Decomposition with Dual Neighborhoods
This paper proposes a multiobjective multitasking optimization evolution...
research
∙
12/16/2020
Clustering Ensemble Meets Low-rank Tensor Approximation
This paper explores the problem of clustering ensemble, which aims to co...
research
∙
12/06/2020
Maximum Entropy Subspace Clustering Network
Deep subspace clustering network (DSC-Net) and its numerous variants hav...
research
∙
06/06/2020
Graph Neural Network Encoding for Community Detection in Attribute Networks
In this paper, we first propose a graph neural network encoding method f...
research
∙
04/30/2020
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation
This paper explores the problem of multi-view spectral clustering (MVSC)...
research
∙
04/15/2020
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
This paper intends to understand and to improve the working principle of...
research
∙
12/30/2019
Pareto Multi-Task Learning
Multi-task learning is a powerful method for solving multiple correlated...
research
∙
11/12/2019
Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition
Multi-objectivization is a term used to describe strategies developed fo...
research
∙
11/12/2019
Novel Multi-Objectivization Approaches for the Sum-of-the-Parts Combinatorial Optimization Problems
Multi-objectivization is a term used to describe strategies developed fo...
research
∙
05/14/2019
Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem
This paper proposes a novel landscape smoothing method for the symmetric...
research
∙
11/04/2018
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm
The surrogate-assisted optimization algorithm is a promising approach fo...
research
∙
11/04/2018
Nonlinear Collaborative Scheme for Deep Neural Networks
Conventional research attributes the improvements of generalization abil...
research
∙
06/08/2018
Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search
In this paper, an evolutionary many-objective optimization algorithm bas...
research
∙
10/11/2017
A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation
In this paper, we propose an efficient approximated rank one update for ...
research
∙
09/22/2017
EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure
Local search is a basic building block in memetic algorithms. Guided Loc...
research
∙
09/15/2017
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems
This paper proposes a push and pull search (PPS) framework for solving c...
research
∙
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...
research
∙
04/07/2017
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition
The decomposition-based method has been recognized as a major approach f...
research
∙
12/21/2016
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit
Multi-objective evolutionary algorithms (MOEAs) have achieved great prog...
research
∙
08/30/2016
Matching-Based Selection with Incomplete Lists for Decomposition Multi-Objective Optimization
The balance between convergence and diversity is a key issue of evolutio...
research
∙
06/16/2016
