Search Results - "Siwei Qiang"

Analyzing and modeling spatio-temporal dependence of cellular traffic at city scale by Xiaming Chen, Yaohui Jin, Siwei Qiang, Weisheng Hu, Kaida Jiang

“…Traffic characteristics over space and time constitute an important aspect of cellular networks in consideration of resource provision, traffic engineering and…”
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A survey of deep causal models and their industrial applications by Li, Zongyu, Guo, Xiaobo, Qiang, Siwei

“…The notion of causality assumes a paramount position within the realm of human cognition. Over the past few decades, there has been significant advancement in…”
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Early Warning of City-Scale Unusual Social Event on Public Transportation Smartcard Data by Haiyang Wang, Xiaming Chen, Siwei Qiang, Honglun Zhang, Yongkun Wang, Jianyong Shi, Yaohui Jin

“…A sudden social crowd event is serious to public safety as it usually triggers huge number of people who are overwhelming to existing public facilities…”
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Discovering and modeling meta-structures in human behavior from city-scale cellular data by Chen, Xiaming, Wang, Haiyang, Qiang, Siwei, Wang, Yongkun, Jin, Yaohui

“…For a long time, researchers explore spatio-temporal properties in mobility to understand human behavior. They have discovered many statistical laws about…”
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Passive profiling of mobile engaging behaviours via user-end application performance assessment by Chen, Xiaming, Qiang, Siwei, Wei, Jianwen, Jiang, Kaida, Jin, Yaohui

“…Benefiting from the booming mobile industry, our daily connections have become instant and ubiquitous. In the meanwhile, user experience in mobile services…”
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Low power consumption routing and spectrum allocation in optical OFDM networks by Siwei Qiang, Xuan Luo, Yaohui Jin

“…We investigated the power consumption of the Bandwidth-Variable Optical Orthogonal Frequency Division Multiplexing (BV-OOFDM) transport networks. OFDM has been…”
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A Survey of Deep Causal Models and Their Industrial Applications by Li, Zongyu, Guo, Xiaobo, Qiang, Siwei

“…The notion of causality assumes a paramount position within the realm of human cognition. Over the past few decades, there has been significant advancement in…”
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Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation by Chen, Ying, Qiang, Siwei, Ha, Mingming, Liu, Xiaolei, Li, Shaoshuai, Yuan, Lingfeng, Guo, Xiaobo, Zhu, Zhenfeng

“…In recent years, semi-supervised graph learning with data augmentation (DA) is currently the most commonly used and best-performing method to enhance model…”
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A Local-Global LDA Model for Discovering Geographical Topics from Social Media by Qiang, Siwei, Wang, Yongkun, Jin, Yaohui

“…Micro-blogging services can track users' geo-locations when users check-in their places or use geo-tagging which implicitly reveals locations. This "geo…”
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