Search Results - "Liang, Chunquan"

Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks by Jiang, Peng, Chen, Yuehan, Liu, Bin, He, Dongjian, Liang, Chunquan

“…Alternaria leaf spot, Brown spot, Mosaic, Grey spot, and Rust are five common types of apple leaf diseases that severely affect apple yield. However, the…”
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Online Computing Quantile Summaries Over Uncertain Data Streams by Liang, Chunquan, Li, Mei, Liu, Bin

“…Quantile summarization is a useful tool in data streams management and mining that can efficiently capture the distribution of the data. A quantile of a…”
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Bootstrap Latent Prototypes for graph positive-unlabeled learning by Liang, Chunquan, Tian, Yi, Zhao, Dongmin, Li, Mei, Pan, Shirui, Zhang, Hongming, Wei, Jicheng

“…Graph positive-unlabeled (GPU) learning aims to learn binary classifiers from only positive and unlabeled (PU) nodes. The state-of-the-art methods rely on…”
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Continuously maintaining approximate quantile summaries over large uncertain datasets by Liang, Chunquan, Zhang, Yang, Nie, Yanming, Hu, Shaojun

“…•We define quantile over uncertain datasets in terms of probabilistic cardinality. We develop a novel algorithm, namely uGK, to compute approximate quantile…”
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Learning very fast decision tree from uncertain data streams with positive and unlabeled samples by Liang, Chunquan, Zhang, Yang, Shi, Peng, Hu, Zhengguo

“…► We propose uncertain information gain for positive and unlabeled samples (puuIG). ► We give methods to summarize imprecise values into some distributions. ►…”
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Learning accurate very fast decision trees from uncertain data streams by Liang, Chunquan, Zhang, Yang, Shi, Peng, Hu, Zhengguo

“…Most existing works on data stream classification assume the streaming data is precise and definite. Such assumption, however, does not always hold in…”
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Product click-through rate prediction model integrating self-attention mechanism by Zhu, Tong, Li, Shuqin, Liang, Chunquan, Liu, Bin, Li, Xiaopeng

“…In the commodity click-through rate prediction task, existing deep learning models implicitly construct combinatorial features and cannot know the optimal…”
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