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Your search keyword '"Yin, Guisheng"' showing total 356 results
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356 results on '"Yin, Guisheng"'

1. SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks

Author

He, Enbo, Hao, Yitong, Zhang, Yue, Yin, Guisheng, and Yao, Lina

Subjects
Computer Science - Social and Information Networks, Computer Science - Computers and Society, Computer Science - Machine Learning
Abstract

Anomaly detection on attributed networks aims to find the nodes whose behaviors are significantly different from other majority nodes. Generally, network data contains information about relationships between entities, and the anomaly is usually embodied in these relationships. Therefore, how to comprehensively model complex interaction patterns in networks is still a major focus. It can be observed that anomalies in networks violate the homophily assumption. However, most existing studies only considered this phenomenon obliquely rather than explicitly. Besides, the node representation of normal entities can be perturbed easily by the noise relationships introduced by anomalous nodes. To address the above issues, we present a novel contrastive learning framework for anomaly detection on attributed networks, \textbf{SCALA}, aiming to improve the embedding quality of the network and provide a new measurement of qualifying the anomaly score for each node by introducing sparsification into the conventional method. Extensive experiments are conducted on five benchmark real-world datasets and the results show that SCALA consistently outperforms all baseline methods significantly., Comment: 9 pages, 14 figures

Published
2024

8. Lineage Evolution Reinforcement Learning

Author

Zhang, Zeyu and Yin, Guisheng

Subjects
Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Multiagent Systems
Abstract

We propose a general agent population learning system, and on this basis, we propose lineage evolution reinforcement learning algorithm. Lineage evolution reinforcement learning is a kind of derivative algorithm which accords with the general agent population learning system. We take the agents in DQN and its related variants as the basic agents in the population, and add the selection, mutation and crossover modules in the genetic algorithm to the reinforcement learning algorithm. In the process of agent evolution, we refer to the characteristics of natural genetic behavior, add lineage factor to ensure the retention of potential performance of agent, and comprehensively consider the current performance and lineage value when evaluating the performance of agent. Without changing the parameters of the original reinforcement learning algorithm, lineage evolution reinforcement learning can optimize different reinforcement learning algorithms. Our experiments show that the idea of evolution with lineage improves the performance of original reinforcement learning algorithm in some games in Atari 2600.

Published
2020

19. Selected Sample Retraining Semi-supervised Learning Method for Aerial Scene Classification

Author

Tian, Ye, Li, Ju, Zhang, Liguo, Sun, Jianguo, Yin, Guisheng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Fang, Lu, editor, Chen, Yiran, editor, Zhai, Guangtao, editor, Wang, Jane, editor, Wang, Ruiping, editor, and Dong, Weisheng, editor

Published
2021
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20. Intelligent Security Image Classification on Small Sample Learning

Author

Chen, Zixian, Jia, Xinrui, Zhang, Liguo, Yin, Guisheng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sun, Xingming, editor, Zhang, Xiaorui, editor, and Xia, Zhihua, editor

Published
2021
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25. Social Networks Node Mining Algorithm of Based on Greedy Subgraph

Author

Wang, Hongbin, Yin, Guisheng, Zhou, Lianke, Zhang, Yupeng, Cao, Zhen, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Sun, Xingming, editor, Pan, Zhaoqing, editor, and Bertino, Elisa, editor

Published
2018
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26. Influence Maximization Algorithm in Social Networks Based on Three Degrees of Influence Rule

Author

Wang, Hongbin, Yin, Guisheng, Zhou, Lianke, Chen, Xiaolong, Zhang, Dongjia, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Sun, Xingming, editor, Pan, Zhaoqing, editor, and Bertino, Elisa, editor

Published
2018
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28. Use of neighborhood unhomogeneity to detect the edge of hyperspectral spatial stray light region

Author

Zhao, Chunhui, Qi, Bin, Youn, Eunseog, Yin, Guisheng, and Nansen, Christian

Subjects
Spatial stray light, Edge detection, Fuzzy entropy, Neighborhood unhomogeneity, Hyperspectral imaging, Optical Physics, Optics
Abstract

Since hyperspectral images contain fine spectral information of the target objects, there is continuous demand for the detailed analysis about such images. A somewhat neglected but critically important challenge regarding hyperspectral image is the presence of "spatial stray light" - a phenomenon caused by scattering of photons from target objects. In this study, neighborhood unhomogeneity method is used to detect the edge of spatial stray light region in hyperspectral images. Analyses were conducted on reflectance datasets of standard card, potato leaf, and corn kernels from three inbred lines. By using neighborhood unhomogeneity method, the edge of spatial stray light region could be detected obviously and experimental results show the effectiveness of the proposed method. © 2014 Elsevier GmbH.

Published
2014

33. Correction to: Selected Sample Retraining Semi-supervised Learning Method for Aerial Scene Classification

Author

Tian, Ye, Li, Jun, Zhang, Liguo, Sun, Jianguo, Yin, Guisheng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Fang, Lu, editor, Chen, Yiran, editor, Zhai, Guangtao, editor, Wang, Jane, editor, Wang, Ruiping, editor, and Dong, Weisheng, editor

Published
2021
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34. An Incremental Graph Pattern Matching Based Dynamic Cold-Start Recommendation Method

Author

Zhang, Yanan, Yin, Guisheng, Zhao, Qiushi, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Che, Wanxiang, editor, Han, Qilong, editor, Wang, Hongzhi, editor, Jing, Weipeng, editor, Peng, Shaoliang, editor, Lin, Junyu, editor, Sun, Guanglu, editor, Song, Xianhua, editor, Song, Hongtao, editor, and Lu, Zeguang, editor

Published
2016
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35. Metric and Distributed On-Line Algorithm for Minimizing Routing Interference in Wireless Sensor Networks

Author

Zhang, Kejia, Han, Qilong, Cai, Zhipeng, Yin, Guisheng, Lin, Junyu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Lu, Zaixin, editor, Kim, Donghyun, editor, Wu, Weili, editor, Li, Wei, editor, and Du, Ding-Zhu, editor

Published
2015
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36. A Trust Measurement in Social Networks Based on Game Theory

Author

Wang, Yingjie, Cai, Zhipeng, Yin, Guisheng, Gao, Yang, Pan, Qingxian, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Thai, My T., editor, Nguyen, Nam P., editor, and Shen, Huawei, editor

Published
2015
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41. OFDP: A Distributed Algorithm for Finding Disjoint Paths with Minimum Total Energy Cost in Wireless Sensor Networks

Author

Zhang, Kejia, Gao, Hong, Yin, Guisheng, Han, Qilong, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Cai, Zhipeng, editor, Wang, Chaokun, editor, Cheng, Siyao, editor, Wang, Hongzhi, editor, and Gao, Hong, editor

Published
2014
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50. Multidimensional Dynamic Trust Measurement Model with Incentive Mechanism for Internetware

Author

Yin, Guisheng, Wang, Yingjie, Zhang, Jianguo, Dong, Hongbin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yin, Hujun, editor, Tang, Ke, editor, Gao, Yang, editor, Klawonn, Frank, editor, Lee, Minho, editor, Weise, Thomas, editor, Li, Bin, editor, and Yao, Xin, editor

Published
2013
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