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2,592 results on '"Liang, Xun"'

103. When True Becomes False

Author

Zhang, Xuan, primary, Liang, Xun, additional, Zheng, Xiangping, additional, Wu, Bo, additional, and Guo, Yuhui, additional

Published
2022
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104. Micro-blog user community discovery using generalized SimRank edge weighting method.

Author

Jinshan Qi, Liang Xun, Xiaoping Zhou, Zhiyu Li, Yu Liu, and Hengchao Cheng

Subjects
Medicine, Science
Abstract

Community discovery is one of the most popular issues in analyzing and understanding a network. Previous research suggests that the discovery can be enhanced by assigning weights to the edges of the network. This paper proposes a novel edge weighting method, which balances both local and global weighting based on the idea of shared neighbor ranging between users and the interpersonal significance of the social network community. We assume that users belonging to the same community have similar relationship network structures. By controlling the measure of "neighborhood", this method can adequately adapt to real-world networks. Therefore, the famous similarity calculation method-SimRank-can be regarded as a special case of our method. According to the practical significance of social networks, we propose a new evaluation method that uses the communication rate to measure its divided demerit to better express users' interaction relations than the ordinary modularity Q. Furthermore, the fast Newman algorithm is extended to weighted networks. In addition, we use four real networks in the largest Chinese micro-blog website Sina. The results of experiments demonstrate that the proposed method easily meets the balancing requirements and is more robust to different kinds of networks. The experimental results also indicate that the proposed algorithm outperforms several conventional weighting methods.

Published
2018
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105. Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis

Author

Cao, Run, Liang, Xun, Ni, Zhihao, 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, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Zhou, Shuigeng, editor, Zhang, Songmao, editor, and Karypis, George, editor

Published
2012
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106. Solving Support Vector Machines beyond Dual Programming

Author

Liang, Xun, 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, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Lu, Bao-Liang, editor, Zhang, Liqing, editor, and Kwok, James, editor

Published
2011
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112. A Simple Method of Forecasting Option Prices Based on Neural Networks

Author

Liang, Xun, Zhang, Haisheng, Li, Xiang, 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, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Chien, Been-Chian, editor, Hong, Tzung-Pei, editor, Chen, Shyi-Ming, editor, and Ali, Moonis, editor

Published
2009
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115. Pricing Options in Hong Kong Market Based on Neural Networks

Author

Liang, Xun, Zhang, Haisheng, Yang, Jian, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, King, Irwin, editor, Wang, Jun, editor, Chan, Lai-Wan, editor, and Wang, DeLiang, editor

Published
2006
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116. Neural Network Method to Predict Stock Price Movement Based on Stock Information Entropy

Author

Liang, Xun, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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117. Optimal Pricing for Web Search Engines

Author

Liang, Xun, He, Yang-Bo, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Deng, Xiaotie, editor, and Ye, Yinyu, editor

Published
2005
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118. Impacts of Internet Stock News on Stock Markets Based on Neural Networks

Author

Liang, Xun, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Liao, Xiao-Feng, editor, and Yi, Zhang, editor

Published
2005
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119. Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture

Author

Liang, Xun, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Liao, Xiaofeng, editor, and Yi, Zhang, editor

Published
2005
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120. An Approach to Mining Local Causal Relationships from Databases

Author

He, Yang Bo, Geng, Zhi, Liang, Xun, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Li, Xue, editor, Wang, Shuliang, editor, and Dong, Zhao Yang, editor

Published
2005
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121. Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals

Author

Liang, Xun, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Li, Xue, editor, Wang, Shuliang, editor, and Dong, Zhao Yang, editor

Published
2005
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122. Learning Causal Structures Based on Markov Equivalence Class

Author

He, Yang-Bo, Geng, Zhi, Liang, Xun, 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, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Jain, Sanjay, editor, Simon, Hans Ulrich, editor, and Tomita, Etsuji, editor

Published
2005
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136. Synoptic Characteristics Related to Warm-Sector Torrential Rainfall Events in South China During the Annually First Rainy Season

Author

Lin Wen-shi, Chen De-hui, Meng Wei-guang, Lin Liang-xun, WU Ya-li, and Gao Yu-dong

Subjects
Wet season, Atmospheric Science, Future studies, South china, Climatology, Significant difference, Period (geology), Environmental science, Predictability, Squall line, Composite analysis
Abstract

Warm-sector torrential rainfall (WSTR) events that occur in the annually first rainy season in south China are characterized by high rainfall intensity and low radar echo centroids. To understand the synoptic characteristics related to these features, 16 WSTR events that occurred in 2013-2017 were examined with another 16 squall line (SL) events occurred during the same period as references. Composite analysis derived from ERA-Interim reanalysis data indicated the importance of the deep layer of warm and moist air for WSTR events. The most significant difference between WSTR and SL events lies in their low-level convergence and lifting; for WSTR events, the low-level convergence and lifting is much shallower with comparable or stronger intensity. The trumpet-shaped topography to the north of the WSTR centers is favorable for the development of such shallow convergences in WSTR events. Results in this study will provide references for future studies to improve the predictability of WSTR.

Published
2020

139. Willingness to accept COVID-19 vaccine among the elderly and the chronic disease population in China

Author

Wang, Jiahao, primary, Yuan, Beibei, additional, Lu, Xinran, additional, Liu, Xiaoxue, additional, Li, Li, additional, Geng, Shufan, additional, Zhang, Haijun, additional, Lai, Xiaozhen, additional, Lyu, Yun, additional, Feng, Huangyufei, additional, Jing, Rize, additional, Guo, Jia, additional, Huang, Yingzhe, additional, Liang, Xun, additional, Yu, Wenzhou, additional, and Fang, Hai, additional

Published
2021
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144. Object tracking with collaborative extreme learning machines

Author

Liang Xun and Haipeng Kuang

Subjects
Computer Networks and Communications, Generalization, business.industry, Computer science, 020207 software engineering, 02 engineering and technology, Object (computer science), Tracking (particle physics), Machine learning, computer.software_genre, Expression (mathematics), Discriminative model, Hardware and Architecture, Video tracking, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, Artificial intelligence, business, Representation (mathematics), computer, Software, Extreme learning machine
Abstract

We propose a novel collaborative discriminative model based on extreme learning machine (ELM) for object tracking in this paper. In order to represent the object more precisely, we first propose a new collaborative discriminative representation model, which includes both a global discriminative sub-model and a local discriminative sub-model. Different from traditional local representation models, in particular, our local sub-model integrates several classifiers which have structural relations to improve the expression. The global discriminative model represents the appearance comprehensively while the local discriminative sub-model can effectively address occlusions and assist the update. Second, to have better combination of these sub-models, we propose a novel collaboration strategy based on the Kullback-Leibler (KL) distance. The novel strategy can determine the weights of the sub-models adaptively by measuring their KL distances reciprocally. Third, we introduce ELM into tracking and adopt it to build both the global and the local discriminative sub-models simultaneously. Since ELM has a good generalization performance and is robust to the imbalance of the training samples, it is suitable to be used for tracking. Experimental results demonstrate that our method can achieve comparable performance to many state-of-the-art tracking approaches.

Published
2019

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