Search Results - "Fu, Chenbo"

Patterns of interest change in stack overflow by Fu, Chenbo, Yue, Xinchen, Shen, Bin, Yu, Shanqing, Min, Yong

“…Stack Overflow is currently the largest programming related question and answer community, containing multiple programming areas. The change of user’s interest…”
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Passive Indoor Localization Based on CSI and Naive Bayes Classification by Wu, Zhefu, Xu, Qiang, Li, Jianan, Fu, Chenbo, Xuan, Qi, Xiang, Yun

“…Passive indoor localization is important. Unlike active localization techniques, it does not require for users to carry measuring devices, e.g., smart phones…”
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Heavy users fail to fall into filter bubbles: evidence from a Chinese online video platform by Fu, Chenbo, Che, Qiushun, Li, Zhanghao, Yuan, Fengyan, Min, Yong

“…Accelerated by technological advancements, while online platforms equipped with recommendation algorithms offer convenience to obtain information, it also…”
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The profit and risk in the interdisciplinary behavior by Fu, Chenbo, Luo, Haogeng, Liang, Xuejiao, Yu, Shanqing

“…Evaluating the influence of interdisciplinary research is important to the development of science. This work considers the large and small disciplines,…”
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Evolving Convolutional Neural Network and Its Application in Fine-Grained Visual Categorization by Xuan, Qi, Xiao, Haoquan, Fu, Chenbo, Liu, Yi

“…Fine-grained visual categorization is one of the challenges in computer vision due to the high intra-class but low inter-class variances. Convolutional neural…”
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Social Media Opinion Analysis Model Based on Fusion of Text and Structural Features by Long, Jie, Li, Zihan, Xuan, Qi, Fu, Chenbo, Peng, Songtao, Min, Yong

“…The opinion recognition for comments in Internet media is a new task in text analysis. It takes comment statements as the research object, by learning the…”
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Feature Drift in Fake News Detection: An Interpretable Analysis by Fu, Chenbo, Pan, Xingyu, Liang, Xuejiao, Yu, Shanqing, Xu, Xiaoke, Min, Yong

“…In recent years, fake news detection and its characteristics have attracted a number of researchers. However, most detection algorithms are driven by data…”
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An Improved Differential Evolution Framework Using Network Topology Information for Critical Nodes Detection by Yu, Shanqing, Wang, Yongqi, Li, Jiaxiang, Fang, Xu, Chen, Jinyin, Zheng, Ziwan, Fu, Chenbo

“…Critical nodes detection (CND) focuses on identifying the nodes that significantly impact the network's robustness and is applied in various fields such as…”
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Synchronization and quorum sensing in an ensemble of indirectly coupled chaotic oscillators by Li, Bing-Wei, Fu, Chenbo, Zhang, Hong, Wang, Xingang

“…The fact that the elements in some realistic systems are influenced by each other indirectly through a common environment has stimulated a new surge of studies…”
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Modern Food Foraging Patterns: Geography and Cuisine Choices of Restaurant Patrons on Yelp by Qi Xuan, Mingming Zhou, Zhi-Yuan Zhang, Chenbo Fu, Yun Xiang, Zhefu Wu, Filkov, Vladimir

“…Animals search for food based on certain optimal principles and over time form foraging patterns effective for survival in changing environments. Due to the…”
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Water Affects Morphogenesis of Growing Aquatic Plant Leaves by Xu, Fan, Fu, Chenbo, Yang, Yifan

“…Lotus leaves floating on water usually experience short-wavelength edge wrinkling that decays toward the center, while the leaves growing above water normally…”
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Computing wrinkling and restabilization of stretched sheets based on a consistent finite-strain plate theory by Fu, Chenbo, Dai, Hui-Hui, Xu, Fan

“…It was reported both in experiments and computations using some classical plate theories that wrinkles can appear in a uniaxially stretched rectangular…”
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A finite strain model predicts oblique wrinkles in stretched anisotropic films by Yang, Yifan, Fu, Chenbo, Xu, Fan

“…Transverse wrinkles commonly occur in a uniaxially tensile elastic membrane and can vanish upon excess stretching. The wrinkling direction is usually…”
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Photo-controlled patterned wrinkling of liquid crystalline polymer films on compliant substrates by Fu, Chenbo, Xu, Fan, Huo, Yongzhong

“…•A novel approach to generate surface wrinkles via photo-induced instability was proposed.•Geometric and size effects of photo illuminations on the buckling…”
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Morphomechanics of growing curled petals and leaves by Wang, Ting, Fu, Chenbo, Potier-Ferry, Michel, Xu, Fan

“…Petals and leaves are usually curled and exhibit intriguing morphology evolution upon growth, which contributes to their important biological functions. To…”
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Link Weight Prediction Using Supervised Learning Methods and Its Application to Yelp Layered Network by Fu, Chenbo, Zhao, Minghao, Fan, Lu, Chen, Xinyi, Chen, Jinyin, Wu, Zhefu, Xia, Yongxiang, Xuan, Qi

“…Real-world networks feature weights of interactions, where link weights often represent some physical attributes. In many situations, to recover the missing…”
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Subgraph Networks With Application to Structural Feature Space Expansion by Xuan, Qi, Wang, Jinhuan, Zhao, Minghao, Yuan, Junkun, Fu, Chenbo, Ruan, Zhongyuan, Chen, Guanrong

“…Real-world networks exhibit prominent hierarchical and modular structures, with various subgraphs as building blocks. Most existing studies simply consider…”
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Competition between Mullins and curvature effects in the wrinkling of stretched soft shells by Wang, Ting, Yang, Yifan, Fu, Chenbo, Xu, Fan

“…A highly stretched hyperelastic shell exhibits a coupling behavior of local wrinkling and global bending within the stability boundary, and curvature resists…”
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Nanosleeves: Morphology transitions of infilled carbon nanotubes by Ding, Mingda, Xu, Fan, Wang, Ting, Fu, Chenbo

“…Morphology instability of substrate-supported carbon atomic layers can be harnessed to modulate physical properties and functions, which has drawn interesting…”
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E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction by Chen, Jinyin, Zhang, Jian, Xu, Xuanheng, Fu, Chenbo, Zhang, Dan, Zhang, Qingpeng, Xuan, Qi

“…Predicting the potential relations between nodes in networks, known as link prediction, has long been a challenge in network science. However, most studies…”
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