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Congress on Evolutionary Computation

作者： Gang Chen Wenjian Luo Tao Zhu Anhui Province key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)9781479914869

Evolutionary clustering is a hot research topic that clusters the time-stamped data and it is essential to some important applications such as data streams clustering and social network analysis. An evolutionary clustering should accurately reflect the current data at any time step while simultaneously not deviate too drastically from the recent past. In this paper, the differential evolution (DE) is applied to deal with the evolutionary clustering problem. Comparing with the typical k-means, evolutionary clustering based on DE (deEC) could perform a global search in the solution space. Experimental results over synthetic and real-world data sets demonstrate that the deEC provides robust and adaptive solutions.

关键词： Clustering algorithms History Vectors Evolutionary computation Equations Sociology Statistics

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An improved genetic algorithm for dynamic shortest path problems

An improved genetic algorithm for dynamic shortest path prob...

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Congress on Evolutionary Computation

作者： Xuezhi Zhu Wenjian Luo Tao Zhu Anhui Province key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui China

The Shortest Path (SP) problems are conventional combinatorial optimization problems. There are many deterministic algorithms for solving the shortest path problems in static topologies. However, in dynamic topologies, these deterministic algorithms are not efficient due to the necessity of restart. In this paper, an improved Genetic Algorithm (GA) with four local search operators for Dynamic Shortest Path (DSP) problems is proposed. The local search operators are inspired by Dijkstra's Algorithm and carried out when the topology changes to generate local shortest path trees, which are used to promote the performance of the individuals in the population. The experimental results show that the proposed algorithm could obtain the solutions which adapt to new environments rapidly and produce high-quality solutions after environmental changes.

关键词： Sociology Statistics Heuristic algorithms Topology Algorithm design and analysis Digital signal processing Biological cells

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AN APPROACH BASED ON TSA-TREE FOR ACCURATE TIME SERIES CLASSIFICATION

AN APPROACH BASED ON TSA-TREE FOR ACCURATE TIME SERIES CLASS...

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2012 IEEE 2nd International Conference on Cloud computing and Intelligence Systems

作者： Xiaoxu He Chenxi Shao School of Computer Science and Technology University of Science and Technology of China Anhui Province Key Laboratory of Software in Computing and Communication

In order to improve the performance of time series classification, we introduce a new approach of time series classification. The first step of the approach is to design a feature exaction model based on Trend and Surprise Abstraction tree （TSA-tree）. The second step of the approach is to combine the exacted global feature and 1 nearest neighbor to classify time series. The proposed approach is compared with a number of known classifiers by experiments in artificial and real-world data sets. The experimental results show it can reduce the error rates of time series classification, so it is highly competitive with previous approaches.

关键词： Feature exaction dimension reduction classification TSA-tree

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Accumulative Time Based Ranking Method to Reputation Evaluation in Information Networks

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Journal of Computer Science & Technology 2022年第4期37卷 960-974页

作者： Hao Liao Qi-Xin Liu Ze-Cheng Huang Ke-Zhong Lu Chi Ho Yeung Yi-Cheng Zhang National Engineering Laboratory on Big Data System Computing Technology College of Computer Science and SoftwareEngineeringShenzhen UniversityShenzhen 518060China Guangdong Province Key Laboratory of Popular High Performance Computers Shenzhen UniversityShenzhen 518060China Guangdong Province Engineering Center of China-Made High Performance Data Computing System College of ComputerScience and Software EngineeringShenzhen UniversityShenzhen 518060China Institute of Big Data Intelligent Management and Decision Shenzhen UniversityShenzhen 518060China Department of Science and Environmental Studies The Education University of Hong KongHong Kong 999077China Department of Physics University of FribourgFribourg 1700Switzerland

Due to over-abundant information on the Web, information filtering becomes a key task for online users to obtain relevant suggestions and how to extract the most related item is always a key topic for researchers in various fields. In this paper, we adopt tools used to analyze complex networks to evaluate user reputation and item quality. In our proposed Accumulative Time Based Ranking (ATR) algorithm, we take into account the growth record of the network to identify the evolution of the reputation of users and the quality of items, by incorporating two behavior weighting factors which can capture the hidden facts on reputation and quality dynamics for each user and item respectively. Our proposed ATR algorithm mainly combines the iterative approach to rank user reputation and item quality with temporal dependence compared with other reputation evaluation methods. We show that our algorithm outperforms other benchmark ranking algorithms in terms of precision and robustness on empirical datasets from various online retailers and the citation datasets among research publications. Therefore, our proposed method has the capability to effectively evaluate user reputation and item quality.

关键词： temporal network behavior dynamics reputation evaluation ranking algorithm

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Large area crystalline Weyl semimetal with nano Au film based micro-fold line array for THz detector

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Science China(Technological Sciences) 2023年第11期66卷 3267-3275页

作者： SONG Qi ZHOU Yu JIA ErSe WANG JiaTong ZHANG Min ZHANG BingYuan Shandong Key Laboratory of Optical Communication Science and Technology School of Physics Science and Information TechnologyLiaocheng UniversityLiaocheng 252059China North China Institute of Computing Technology Beijing 100083China Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China School of Precision Instrument and Opto-electronics Engineering Tianjin UniversityTianjin 300072China

The advancement of 6G technology relies on the development of high-performance terahertz detectors that can operate at room *** detectors are crucial for Internet of Things(Io T)applications,which require sensitive environmental sensing and efficient reception of 6G *** significant research focus is on detection technology with high responsiveness and low equivalent noise power for 6G signals,which experience high losses in the *** meet the demand for ultra-sensitive detectors in 6G technology,we have employed several ***,we prepared a large area of Weyl-semimetal layer through magnetron ***,we obtained a high-quality Weyl-semimetal active layer by carefully controlling the annealing ***,a thin nano-Au layer was introduced as a micro-cavity reflection layer to enhance the device's detection ***,we incorporated an electromagnetic induction well to improve carrier confinement and enhance the detection *** proposed high-performance terahertz detector,with its potential for industrial production,offers a valuable technical solution for the advancement of 6G technology.

关键词： micro-cavity Weyl semimetal crystalline thin film THz device

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Leveraging geometric correlation for input-adaptive facial landmark regression

Leveraging geometric correlation for input-adaptive facial l...

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2017 IEEE International Conference on Multimedia and Expo, ICME 2017

作者： Feng, Yuyao Liu, Risheng Fan, Xin Huyan, Kang Luo, Zhongxuan DUT-RU International School of Information and Software Engineering Dalian University of Technology China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province China Department of Computing Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9781509060672

Facial analysis plays very important role in many vision applications, such as authentication and entertainments. The very early works in the 1990s mostly focus on estimating geometric deformations of facial landmarks to address this task. While in the past several years, more and more efforts have been made to directly learn an appearance regression for facial analysis. Though training regressions on controlled facial images can successfully capture the appearance variations, the performance of these appearance-based models are tightly related to the quantity and quality of the training data. In this paper, we develop a novel framework, named geometric correlated landmark regression (GCLR), to inherit the advantages but overcome limitations of these two categories of methods. Specifically, we first establish a landmark-to-landmark regression to estimate the geometry of facial images. By further incorporating a sparse coding term into the regression framework, we can successfully leverage the geometric correlations between the test image and the shape dictionary, thus significantly enhance the geometry regression performance. Experimental results on various challenging facial data sets verify the effectiveness and efficiency of GCLR. © 2017 IEEE.

关键词： Geometry

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Manifold Projection for Adversarial Defense on Face Recognition 1

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16th European Conference on Computer Vision, ECCV 2020

作者： Zhou, Jianli Liang, Chao Chen, Jun National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Wuhan China Key Laboratory of Multimedia and Network Communication Engineering BeijingHubei Province China

ISBN: (数字)9783030585778

ISBN: (纸本)9783030585761

Although deep convolutional neural network based face recognition system has achieved remarkable success, it is susceptible to adversarial images: carefully constructed imperceptible perturbations can easily mislead deep neural networks. A recent study has shown that in addition to regular off-manifold adversarial images, there are also adversarial images on the manifold. In this paper, we propose Adversarial Variational AutoEncoder (A-VAE), a novel framework to tackle both types of attacks. We hypothesize that both off-manifold and on-manifold attacks move the image away from the high probability region of image manifold. We utilize variational autoencoder (VAE) to estimate the lower bound of the log-likelihood of image and explore to project the input images back into the high probability regions of image manifold again. At inference time, our model synthesizes multiple similar realizations of a given image by random sampling, then the nearest neighbor of the given image is selected as the final input of the face recognition model. As a preprocessing operation, our method is attack-agnostic and can adapt to a wide range of resolutions. The experimental results on LFW demonstrate that our method achieves state-of-the-art defense success rate against conventional off-manifold attacks such as FGSM, PGD, and C&W under both grey-box and white-box settings, and even on-manifold attack. © 2020, Springer Nature Switzerland AG.

关键词： Face recognition

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A Hybrid of the prefix algorithm and the q-hidden algorithm for generating single negative databases

A Hybrid of the prefix algorithm and the q-hidden algorithm ...

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IEEE Symposium on Computational Intelligence in Cyber Security

作者： Liu, Ran Luo, Wenjian Wang, Xufa School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Anhui Key Laboratory of Software Engineering in Computing and Communication Hefei 230027 Anhui China

ISBN: (纸本)9781424499069

The negative database (NDB) is a complement of the corresponding database. The NDB could protect the privacy of the data, but it should be complete and hard-to-reverse. However, existent techniques cannot generate the complete and hard-to-reverse negative database. In this paper, a hybrid method is proposed to generate single negative databases. The proposed hybrid method includes two phases. Firstly, a complete negative database with a small size is generated by the transformation of the prefix algorithm. Secondly, a hard-to-reverse negative database, which is generated with the q-hidden method, is added into the small complete negative database. Therefore, the hybrid negative database is both complete and hard-to-reverse. Experiment results show that the NDB generated by the hybrid method is better than the NDB generated by the typical q-hidden method. Especially, the NDB generated by the q-hidden method can be reversed on average when the string length is 300. However, the NDB generated by the hybrid method cannot be reversed on average when the string length is 150. © 2011 IEEE.

关键词： Database systems

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A Global-Energy-Balancing Real-Time Routing in Wireless Sensor Networks

A Global-Energy-Balancing Real-Time Routing in Wireless Sens...

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IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Peilong Li Yu Gu Baohua Zhao Department of Computer Science Anhui Province Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China

Many applications in wireless sensor networks like video surveillance have the requirement of timely data delivery. Real-time routing is needed in these applications. Because of the limitation of node energy, energy efficiency is also an important concern in routing protocol design in order to increase the network lifetime. In this paper, we propose a global-energy-balancing routing scheme (GEBR) for real-time traffic based on directed diffusion (DD), which balances node energy utilization to increase the network lifetime. GEBR can find an optimal path in sensor networks for data transfer considering global energy balance and limited delivery delay. Simulation results show that GEBR significantly outperforms DD in uniform energy utilization. GEBR achieves better global energy balance and longer network lifetime. The time for real-time service of the sensor networks using GEBR is prolonged by about 4.37% and the network lifetime is prolonged by 44.6%.

关键词： Wireless sensor networks Routing protocols Delay Computer networks Energy efficiency Computer science Laboratories Wireless application protocol Global Positioning System Video surveillance

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A Secure Routing Protocol with Malicious Nodes Detecting and Diagnosing Mechanism for Wireless Sensor Networks

A Secure Routing Protocol with Malicious Nodes Detecting and...

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IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Yuan-xi Jiang Bao-hua Zhao Department of Computer Science Anhui Province Key Laboratory of software in Computing and Communication University of Science and Technology Hefei Anhui China

Routing protocol security is the key element in the research of secure wireless sensor networks. Due to its special characteristic, designing security routing protocol is a challenge in these networks. A secure routing protocol with malicious nodes detecting and diagnosing mechanism is used to reduce the malicious nodes' threat to the WSNs.

关键词： Routing protocols Wireless sensor networks Data security Monitoring communication system security Computer networks Sensor phenomena and characterization Cryptography Relays Resumes

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