Search Results - "Teng, Luyao"

SVM-DT-based adaptive and collaborative intrusion detection by Teng, Shaohua, Wu, Naiqi, Zhu, Haibin, Teng, Luyao, Zhang, Wei

“…As a primary defense technique, intrusion detection becomes more and more significant since the security of the networks is one of the most critical issues in…”
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Extensible and self-recoverable proteinaceous materials derived from scallop byssal thread by Zhang, Xiaokang, Cui, Mengkui, Wang, Shuoshuo, Han, Fei, Xu, Pingping, Teng, Luyao, Zhao, Hang, Wang, Ping, Yue, Guichu, Zhao, Yong, Liu, Guangfeng, Li, Ke, Zhang, Jicong, Liang, Xiaoping, Zhang, Yingying, Liu, Zhiyuan, Zhong, Chao, Liu, Weizhi

“…Biologically derived and biologically inspired fibers with outstanding mechanical properties have found attractive technical applications across diverse…”
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Adaptive Graph Embedding with Consistency and Specificity for Domain Adaptation by Teng, Shaohua, Zheng, Zefeng, Wu, Naiqi, Teng, Luyao, Zhang, Wei

“…Domain adaptation (DA) aims to find a subspace, where the discrepancies between the source and target domains are reduced. Based on this subspace, the…”
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Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation by Zheng, Zefeng, Teng, Luyao, Zhang, Wei, Wu, Naiqi, Teng, Shaohua

“…Most existing domain adaptation (DA) methods aim to explore favorable performance under complicated environments by sampling. However, there are three unsolved…”
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Ensemble of many-objective evolutionary algorithms for many-objective problems by Zhou, Yalan, Wang, Jiahai, Chen, Jian, Gao, Shangce, Teng, Luyao

“…The performance of most existing multiobjective evolutionary algorithms deteriorates severely in the face of many-objective problems. Many-objective…”
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Consensus and diversity-fusion partial-view-shared multi-view learning by Teng, Luyao, Zheng, Zefeng

“…Due to the multi-perspective of data, multi-view learning (MVL) is usually employed. Although existing MVL approaches gain fruitful achievements, they may…”
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Active Transfer Learning by Peng, Zhihao, Zhang, Wei, Han, Na, Fang, Xiaozhao, Kang, Peipei, Teng, Luyao

“…A major assumption in data mining and machine learning is that the training set and test set come from the same domain. They share the same feature space and…”
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Solving the Many to Many assignment problem by improving the Kuhn–Munkres algorithm with backtracking by Zhu, Haibin, Liu, Dongning, Zhang, Siqin, Zhu, Yu, Teng, Luyao, Teng, Shaohua

“…The Many to Many (M–M) assignment problem is an important open problem where one task is assigned to many, but different, agents and one agent may undertake…”
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Potential directions for future development of mainstream partial nitrification-anammox processes: Ammonia-oxidizing archaea as novel functional microorganisms providing nitrite by Guo, Kehuan, Li, Dong, Hao, Tongyao, Teng, Luyao, Li, Shuai, Zeng, Huiping, Zhang, Jie

“…[Display omitted] •Limitations and major issues of AOB-based PN-A processes are reviewed.•The potential and significance of AOA-based PN-A processes are…”
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Joint Specifics and Dual-Semantic Hashing Learning for Cross-Modal Retrieval by Teng, Shaohua, Lin, Shengjie, Teng, Luyao, Wu, Naiqi, Zheng, Zefeng, Fei, Lunke, Zhang, Wei

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Joint marginal and central sample learning for domain adaptation by Teng, Shaohua, Liu, Wenjie, Teng, Luyao, Zheng, Zefeng, Zhang, Wei

“…Domain adaptation aims to alleviate the impact of distribution differences when migrating knowledge from the source domain to the target domain. However, two…”
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Scalable Discrete and Asymmetric Unequal Length Hashing Learning for Cross-Modal Retrieval by Teng, Shaohua, Li, Jiangbo, Teng, Luyao, Fei, Lunke, Wu, Naiqi, Zhang, Wei

“…Due to the high computational efficiency and low storage cost, cross-modal hashing retrieval attracts great deal of attention. However, as heterogeneous data…”
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Selected confidence sample labeling for domain adaptation by Zheng, Zefeng, Teng, Shaohua, Wu, Naiqi, Teng, Luyao, Zhang, Wei, Fei, Lunke

“…Unsupervised Domain adaptation (UDA) aims to transfer knowledge from the labeled source domain to the unlabeled target domain. Recently, to achieve reliable…”
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The design of an RGD in situ sustained delivery system utilizing scallop byssal protein through genetic engineering by Xia, Yinhuan, Zhou, Rong, Wang, Shuang, Teng, Luyao, Zhang, Xiaokang, Guo, Zhen, Xu, Yuanzhi, Liu, Weizhi

“…Although bioactive peptides enhancing bone healing have demonstrated effectiveness in treating bone defects, in vivo instability poses a challenge to their…”
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Joint sparse representation and locality preserving projection for feature extraction by Zhang, Wei, Kang, Peipei, Fang, Xiaozhao, Teng, Luyao, Han, Na

“…Traditional graph-based feature extraction methods use two separated procedures, i.e., graph learning and projection learning to perform feature extraction…”
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Kernel-Based Sparse Representation Learning With Global and Local Low-Rank Label Constraint by Teng, Luyao, Tang, Feiyi, Zheng, Zefeng, Kang, Peipei, Teng, Shaohua

“…Due to the large-scale and multiscale natures of social media data, sparse representation (SR) learning methods are widely followed. However, there are three…”
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Unsupervised feature selection with adaptive residual preserving by Teng, Luyao, Feng, Zhenye, Fang, Xiaozhao, Teng, Shaohua, Wang, Hua, Kang, Peipei, Zhang, Yanchun

“…Many feature selection approaches are proposed in recent years. Most approaches utilize graph-based methods in studying the structure and relationship among…”
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Discrete cross-modal hashing with relaxation and label semantic guidance by Teng, Shaohua, Huang, Wenbiao, Wu, Naiqi, Du, Guanglong, Chen, Tongbao, Zhang, Wei, Teng, Luyao

“…Supervised cross-modal hashing has attracted many researchers. In these studies, they seek a common semantic space or directly regress the zero-one label…”
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Robust Asymmetric Cross-Modal Hashing Retrieval With Dual Semantic Enhancement by Teng, Shaohua, Xu, Tuhong, Zheng, Zefeng, Wu, NaiQi, Zhang, Wei, Teng, Luyao

“…As social media faces with large amounts of data and multimodal properties, cross-modal hashing (CMH) retrieval gains extensive applications with its high…”
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Dynamic Confidence Sampling and Label Semantic Guidance Learning for Domain Adaptive Retrieval by Zhang, Wei, Zhou, KangBin, Teng, LuYao, Tang, FeiYi, Wu, NaiQi, Teng, ShaoHua, Li, Jian

“…To accurately retrieve similar objects from different domains, domain adaptive retrieval method is applied to cope with the domain shift problem in information…”
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