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arXiv 2025年

作者： Lian, Junhong Ao, Xiang Liu, Xinyu Liu, Yang He, Qing Institute of Computing Technology Chinese Academy of Sciences Beijing China China Institute of Intelligent Computing Technology CAS Suzhou China High Performance Computer Research Center ICT CAS University of Chinese Academy of Sciences CAS China

Personalized news headline generation aims to provide users with attention-grabbing headlines that are tailored to their preferences. Prevailing methods focus on user-oriented content preferences, but most of them overlook the fact that diverse stylistic preferences are integral to users’ panoramic interests, leading to suboptimal personalization. In view of this, we propose a novel Stylistic-Content Aware Personalized Headline Generation (SCAPE) framework. SCAPE extracts both content and stylistic features from headlines with the aid of large language model (LLM) collaboration. It further adaptively integrates users’ long- and short-term interests through a contrastive learning-based hierarchical fusion network. By incorporating the panoramic interests into the headline generator, SCAPE reflects users’ stylistic-content preferences during the generation process. Extensive experiments on the real-world dataset PENS demonstrate the superiority of SCAPE over baselines. Copyright © 2025, The Authors. All rights reserved.

关键词： Contrastive Learning

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Fundus Image Quality Assessment and Enhancement: a Systematic Review

arXiv

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arXiv 2025年

作者： Li, Heng Li, Haojin Ou, Mingyang Yu, Xiangyang Zhang, Xiaoqing Niu, Ke Fu, Huazhu Liu, Jiang Research Institute of Trustworthy Autonomous Systems SUSTech Shenzhen China Department of Computer Science and Engineering SUSTech Shenzhen China Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Computer School Beijing Information Science and Technology University Beijing China Singapore

As an affordable and convenient eye scan, fundus photography holds the potential for preventing vision impairment, especially in resource-limited regions. However, fundus image degradation is common under intricate imaging environments, impacting following diagnosis and treatment. Consequently, image quality assessment (IQA) and enhancement (IQE) are essential for ensuring the clinical value and reliability of fundus images. While existing reviews offer some overview of this field, a comprehensive analysis of the interplay between IQA and IQE, along with their clinical deployment challenges, is lacking. This paper addresses this gap by providing a thorough review of fundus IQA and IQE algorithms, research advancements, and practical applications. We outline the fundamentals of the fundus photography imaging system and the associated interferences, and then systematically summarize the paradigms in fundus IQA and IQE. Furthermore, we discuss the practical challenges and solutions in deploying IQA and IQE, as well as offer insights into potential future research directions. Copyright © 2025, The Authors. All rights reserved.

关键词： Photography

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COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database

arXiv

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arXiv 2025年

作者： Hu, Yan Gong, Mingdao Qiu, Zhongxi Liu, Jiabao Shen, Hongli Yuan, Mingzhen Zhang, Xiaoqing Li, Heng Lu, Hai Liu, Jiang Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Beijing Tongren Eye Center Beijing Tongren Hospital Capital Medical University Beijing Ophthalmology and Visual Sciences Key Laboratory Beijing China Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

Retinal image registration is vital for diagnostic therapeutic applications within the field of ophthalmology. Existing public datasets, focusing on adult retinal pathologies with high-quality images, have limited number of image pairs and neglect clinical challenges. To address this gap, we introduce COph100, a novel and challenging dataset known as the Comprehensive Ophthalmology Retinal Image Registration dataset for infants with a wide range of image quality issues constituting the public "RIDIRP" database1. COph100 consists of 100 eyes, each with 2 to 9 examination sessions, amounting to a total of 491 image pairs carefully selected from the publicly available dataset. We manually labeled the corresponding ground truth image points and provided automatic vessel segmentation masks for each image. We have assessed COph100 in terms of image quality and registration outcomes using state-of-the-art algorithms. This resource enables a robust comparison of retinal registration methodologies and aids in the analysis of disease progression in infants, thereby deepening our understanding of pediatric ophthalmic conditions. Copyright © 2025, The Authors. All rights reserved.

关键词： Image registration

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Design of two-dimensional recursive filters by using Quantum-behaved particle swarm optimization

Design of two-dimensional recursive filters by using Quantum...

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International Conference on intelligent Information Hiding and Multimedia Signal Processing

作者： Fang, Wei Sun, Jun Xu, Wenbo Center of Intelligent and High Performance Computing School of Information Technology Southern Yangtze University

ISBN: (纸本)9780769527451

A novel algorithm, named Quantum-behaved particle swarm optimization (QPSO) proposed by us previously is introduced in the design of two-dimensional (2-D) recursive digital filters. The design of the 2-D filters is reduced to a constrained minimization problem that is solved by QPSO, which is a global stochastic searching technique and be able to find out the global optima of the problem more efficiently than original particle swarm optimization (PSO). Experiment results show the superiority of the proposed method by comparing it with those of some previous designs.

关键词： Digital filters

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FIR digital filters design based on Quantum-behaved Particle Swarm Optimization

FIR digital filters design based on Quantum-behaved Particle...

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1st International Conference on Innovative computing, Information and Control (ICICIC 2006)

作者： Fang, Wei Sun, Jun Xu, Wenbo Liu, Jing Center of Intelligent and High Performance Computing School of Information Technology Southern Yangtze University

ISBN: (纸本)0769526160

FIR digital filters design involves multi-parameter optimization, on which the existing optimization algorithm doesn't work efficiently. This paper focuses on employing the proposed Quantum-behaved Particle Swarm Optimization (QPSO) to design FIR digital filters. QPSO is a global stochastic searching technique that can find out the global optima of the problem more rapidly than original PSO. After describing the origin and development of QPSO, we present how to use it in FIR digital filters design. It has been demonstrated by experiment results that QPSO outperforms the PSO and Genetic Algorithm (GA) for the problem.

关键词： Genetic algorithms

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LBA-EC: Load Balancing Algorithm Based on Weighted Bipartite Graph for Edge computing

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Chinese Journal of Electronics 2023年第2期32卷 313-324页

作者： SHAO Sisi LIU Shangdong LI Kui YOU Shuai QIU Huajie YAO Xiaoliang JI Yimu School of Computer Science Nanjing University of Posts and Telecommunications Institue of High Performance Computing and Bigdata Nanjing University of Posts and Telecommunications Nanjing Center of HPC China Jiangsu HPC and Intelligent Processing Engineer Research Center

Compared with cloud computing environment, edge computing has many choices of service providers due to different deployment environments. The flexibility of edge computing makes the environment more complex. The current edge computing architecture has the problems of scattered computing resources and limited resources of single computing node. When the edge node carries too many task requests, the makespan of the task will be delayed. We propose a load balancing algorithm based on weighted bipartite graph for edge computing(LBA-EC), which makes full use of network edge resources, reduces user delay, and improves user service experience. The algorithm is divided into two phases for task scheduling. In the first phase, the tasks are matched to different edge servers. In the second phase, the tasks are optimally allocated to different containers in the edge server to execute according to the two indicators of energy consumption and completion time. The simulations and experimental results show that our algorithm can effectively map all tasks to available resources with a shorter completion time.

关键词： Energy consumption Processor scheduling Load management Scheduling Bipartite graph Delays Servers

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A security framework for dynamic collaborative working environments

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Identity in the Information Society 2009年第2期2卷 171-187页

作者： Matthias Assel Stefan Wesner Alexander Kipp Intelligent Service Infrastructures High Performance Computing Center Stuttgart Stuttgart Germany Applications & Visualization High Performance Computing Center Stuttgart Stuttgart Germany

Moving away from simple data sharing within the science community towards cross-organizational collaboration scenarios significantly increased challenges related to security and privacy. They need to be addressed in order to make cross-organizational applications such as collaborative working environments a business proposition within communities such as eHealth, construction or manufacturing. Increasingly distributed scenarios where many different types of services need to be combined in order to implement semantically enriched business processes demand new approaches to security within such dynamic Virtual Organizations. The allocation of access rights need to be possible in an easy and controlled way in order to allow inexperienced users to maintain the information and ensure compliance e.g. with legal and privacy related regulations. In this paper the focus is how security concepts originating from the Grid domain have been applied for collaborative working environments. The chosen scenarios are a Virtual Laboratory for Infectious Diseases (ViroLab) and different collaborative environments from the engineering domain as defined within the CoSpaces project. The requirements from these scenarios are analyzed and a security model enabling such dynamic, secure and trustworthy collaborations is presented.

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Accelerate Data Loading in Distributed Training with Fast Reconfigurable Optical Network

Accelerate Data Loading in Distributed Training with Fast Re...

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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024

作者： Li, Wenzhe Zhang, Xinhang Jia, Wenxuan Chen, Zhuohan Yuan, Guojun Wang, Zhan Zhang, Peiheng High Performance Computing Center Institute of Computing Technology CAS Beijing China Department of Intelligent Science and Technology Hangzhou Institute of Advanced Study UCAS Hangzhou China Institute of Intelligent Computing Technology Chinese Academy of Sciences Suzhou China

We enhance our prior all-optical reconfigurable network to accelerate the data loading with minimized communication distance between compute and storage nodes. A novel corresponding data loading scheme is proposed to ... 详细信息

ISBN: (纸本)9798350379266

关键词： Data Loading Distributed Deep Learning Reconfigurable optical network

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QoS multicast routing based on particle swarm optimization

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7th International Conference on intelligent Data Engineering and Automated Learning, IDEAL 2006

作者： Jing, Liu Jun, Sun Wenbo, Xu Center of Intelligent and High Performance Computing School of Information Technology Southern Yangtze University No. 1800 Lihudadao Road Wuxi 0214122 Jiangsu China

ISBN: (纸本)3540454853

The purpose of this paper is to solve Quality-of-Service (QoS) multicast routing problem by Particle Swarm Optimization (PSO). The QoS multicast routing optimization problem was transformed into a quasicontinuous problem by constructing a new integer coding and the constrained conditions in the problem were solved by the method of penalty function. The experimental results indicated that the proposed algorithm could converge to the optimal on near-optimal solution with less computational cost. It also appeared that PSO outperformed Genetic Algorithm on QoS the tested multicast routing problem. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Quality of service

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Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson’s Disease Screening in OCT

arXiv

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arXiv 2025年

作者： Zhang, Xiaoqing Shi, Hanfeng Li, Xiangyu Ye, Haili Xu, Tao Li, Na Hu, Yan Lv, Fan Chen, Jiangfan Liu, Jiang Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University Wenzhou China Centre for Computational Science and Mathematical Modelling Coventry University Coventry United Kingdom School of Computer Science University of Nottingham Ningbo China Ningbo315100 China School of Ophthalmology and Optometry Wenzhou Medical University Wenzhou325035 China Department of Electronic and Information Engineering Changchun University Changchun130022 China

Parkinson’s disease (PD) is a prevalent neurodegenerative disorder globally. The eye’s retina is an extension of the brain and has great potential in PD screening. Recent studies have suggested that texture features extracted from retinal layers can be adopted as biomarkers for PD diagnosis under optical coherence tomography (OCT) images. Frequency domain learning techniques can enhance the feature representations of deep neural networks (DNNs) by decomposing frequency components involving rich texture features. Additionally, previous works have not exploited texture features for automated PD screening in OCT. Motivated by the above analysis, we propose a novel Adaptive Wavelet Filter (AWF) that serves as the Practical Texture Feature Amplifier to fully leverage the merits of texture features to boost the PD screening performance of DNNs with the aid of frequency domain learning. Specifically, AWF first enhances texture feature representation diversities via channel mixer, then emphasizes informative texture feature representations with the well-designed adaptive wavelet filtering token mixer. By combining the AWFs with the DNN stem, AWFNet is constructed for automated PD screening. Additionally, we introduce a novel Balanced Confidence (BC) Loss by mining the potential of sample-wise predicted probabilities of all classes and class frequency prior, to further boost the PD screening performance and trustworthiness of AWFNet. The extensive experiments manifest the superiority of our AWFNet and BC over state-of-the-art methods in terms of PD screening performance and trustworthiness. © 2025, CC BY-NC-SA.

关键词： Neurodegenerative diseases

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