J
Jie Yang
Researcher at Shanghai Jiao Tong University
Publications - 680
Citations - 12772
Jie Yang is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Image segmentation & Feature extraction. The author has an hindex of 46, co-authored 629 publications receiving 10558 citations. Previous affiliations of Jie Yang include East China University of Science and Technology & Chinese Ministry of Education.
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Feature selection based on rough sets and particle swarm optimization
TL;DR: A new feature selection strategy based on rough sets and particle swarm optimization (PSO), which does not need complex operators such as crossover and mutation, and requires only primitive and simple mathematical operators, and is computationally inexpensive in terms of both memory and runtime.
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Prediction of linear B-cell epitopes using amino acid pair antigenicity scale
TL;DR: It is demonstrated that, using SVM (support vector machine) classifier, the AAP antigenicity scale approach has much better performance than the existing scales based on the single amino acid propensity, which is the essence why the new approach is superior to the existing ones.
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Patch Alignment for Dimensionality Reduction
TL;DR: A new dimensionality reduction algorithm is developed, termed discrim inative locality alignment (DLA), by imposing discriminative information in the part optimization stage, and thorough empirical studies demonstrate the effectiveness of DLA compared with representative dimensionality Reduction algorithms.
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Multi-modal Curriculum Learning for Semi-supervised Image Classification.
TL;DR: A well-organized propagation process leveraging multiple teachers and one learner enables the multi-modal curriculum learning (MMCL) strategy to outperform five state-of-the-art methods on eight popular image data sets.
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Adaptive detection for infrared small target under sea-sky complex background
TL;DR: Experimental results show that an adaptive Butterworth highpass filter presented to detect a small target under a sea-sky complex background is a robust small target detection method.