Search Results for author: Xin Luo

Found 20 papers, 1 papers with code

Data-driven evolutionary algorithm for oil reservoir well-placement and control optimization

no code implementations7 Jun 2022 Guodong Chen, Xin Luo, Jimmy Jiu Jiao, Xiaoming Xue

In this work, a novel and efficient data-driven evolutionary algorithm, called generalized data-driven differential evolutionary algorithm (GDDE), is proposed to reduce the number of simulation runs on well-placement and control optimization problems.

PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor Analysis

no code implementations5 May 2022 Ye Yuan, Xin Luo

A high-dimensional and incomplete (HDI) matrix frequently appears in various big-data-related applications, which demonstrates the inherently non-negative interactions among numerous nodes.

Representation Learning

A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data

no code implementations16 Apr 2022 Di wu, Peng Zhang, Yi He, Xin Luo

High-dimensional and sparse (HiDS) matrices are omnipresent in a variety of big data-related applications.

Representation Learning

Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices

no code implementations16 Apr 2022 Di wu, Yi He, Xin Luo

A High-dimensional and sparse (HiDS) matrix is frequently encountered in a big data-related application like an e-commerce system or a social network services system.

Representation Learning

Three-Stream Joint Network for Zero-Shot Sketch-Based Image Retrieval

no code implementations12 Apr 2022 Yu-Wei Zhan, Xin Luo, Yongxin Wang, Zhen-Duo Chen, Xin-Shun Xu

To narrow the domain differences between sketches and images, we extract edge maps for natural images and treat them as a bridge between images and sketches, which have similar content to images and similar style to sketches.

Sketch-Based Image Retrieval

An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model

no code implementations11 Apr 2022 Yurong Zhong, Xin Luo

An alternating-direction-method-based nonnegative latent factor model can perform efficient representation learning to a high-dimensional and incomplete (HDI) matrix.

Representation Learning

A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data

no code implementations2 Apr 2022 Jia Chen, Di wu, Xin Luo

High-dimensional and sparse (HiDS) matrices are frequently adopted to describe the complex relationships in various big data-related systems and applications.

Adaptive Divergence-based Non-negative Latent Factor Analysis

no code implementations30 Mar 2022 Ye Yuan, Guangxiao Yuan, Renfang Wang, Xin Luo

High-Dimensional and Incomplete (HDI) data are frequently found in various industrial applications with complex interactions among numerous nodes, which are commonly non-negative for representing the inherent non-negativity of node interactions.

ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator

no code implementations24 Mar 2022 Zi-Chao Zhang, Zhen-Duo Chen, Yongxin Wang, Xin Luo, Xin-Shun Xu

Recently, several Vision Transformer (ViT) based methods have been proposed for Fine-Grained Visual Classification (FGVC). These methods significantly surpass existing CNN-based ones, demonstrating the effectiveness of ViT in FGVC tasks. However, there are some limitations when applying ViT directly to FGVC. First, ViT needs to split images into patches and calculate the attention of every pair, which may result in heavy redundant calculation and unsatisfying performance when handling fine-grained images with complex background and small objects. Second, a standard ViT only utilizes the class token in the final layer for classification, which is not enough to extract comprehensive fine-grained information.

Fine-Grained Image Classification

High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection

no code implementations8 Mar 2022 ZhiGang Liu, Xin Luo

Community describes the functional mechanism of a network, making community detection serve as a fundamental graph tool for various real applications like discovery of social circle.

Community Detection

Second-order Symmetric Non-negative Latent Factor Analysis

no code implementations4 Mar 2022 Weiling Li, Xin Luo

Precise representation of large-scale undirected network is the basis for understanding relations within a massive entity set.

Asymmetric Modality Translation For Face Presentation Attack Detection

no code implementations18 Oct 2021 Zhi Li, Haoliang Li, Xin Luo, Yongjian Hu, Kwok-Yan Lam, Alex C. Kot

In this paper, we propose a novel framework based on asymmetric modality translation for face presentation attack detection in bi-modality scenarios.

Face Presentation Attack Detection Face Recognition +1

Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data

1 code implementation9 Sep 2021 Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, Xin-Shun Xu

With the vigorous development of multimedia equipment and applications, efficient retrieval of large-scale multi-modal data has become a trendy research topic.

Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation

no code implementations23 Jun 2021 Xin Luo, Wei Chen, Yusong Tan, Chen Li, Yulin He, Xiaogang Jia

It is desirable to transfer the knowledge stored in a well-trained source model onto non-annotated target domain in the absence of source data.

Domain Adaptation pseudo label +1

Generalized Nesterov's Acceleration-incorporated Non-negative and Adaptive Latent Factor Analysis

no code implementations IEEE Transactions on Services Computing 2021 Xin Luo, Yue Zhou, ZhiGang Liu, Lun Hu, Mengchu Zhou

A non-negative latent factor (NLF) model with a single latent factor-dependent, non-negative and multiplicative update (SLF-NMU) algorithm is frequently adopted to extract useful knowledge from non-negative data represented by high-dimensional and sparse (HiDS) matrices arising from various service applications.

Far-Field Super-Resolution Imaging By Nonlinear Excited Evanescent Waves

no code implementations14 Jan 2021 ZhiHao Zhou, Wei Liu, Jiajing He, Lei Chen, Xin Luo, Dongyi Shen, Jianjun Cao, Yaping Dan, Xianfeng Chen, Wenjie Wan

Abbe's resolution limit, one of the best-known physical limitations, poses a great challenge for any wave systems in imaging, wave transport, and dynamics.

Super-Resolution Optics

Weakly-Supervised Online Hashing

no code implementations16 Sep 2020 Yu-Wei Zhan, Xin Luo, Yu Sun, Yongxin Wang, Zhen-Duo Chen, Xin-Shun Xu

However, existing hashing methods for social image retrieval are based on batch mode which violates the nature of social images, i. e., social images are usually generated periodically or collected in a stream fashion.

Image Retrieval

Dual Graph Representation Learning

no code implementations25 Feb 2020 Huiling Zhu, Xin Luo, Hankz Hankui Zhuo

Graph representation learning embeds nodes in large graphs as low-dimensional vectors and is of great benefit to many downstream applications.

Graph Representation Learning

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