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Xueliang Zhang
Researcher at Inner Mongolia University
Publications - 142
Citations - 3062
Xueliang Zhang is an academic researcher from Inner Mongolia University. The author has contributed to research in topics: Computer science & Speech enhancement. The author has an hindex of 20, co-authored 97 publications receiving 1739 citations. Previous affiliations of Xueliang Zhang include Chinese Academy of Sciences & Nanjing University.
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Deep learning in remote sensing applications: A meta-analysis and review
TL;DR: This review covers nearly every application and technology in the field of remote sensing, ranging from preprocessing to mapping, and a conclusion regarding the current state-of-the art methods, a critical conclusion on open challenges, and directions for future research are presented.
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Deep Learning Based Binaural Speech Separation in Reverberant Environments
Xueliang Zhang,DeLiang Wang +1 more
TL;DR: Systematic evaluations and comparisons show that the proposed system achieves very good separation performance and substantially outperforms related algorithms under challenging multisource and reverberant environments.
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Segmentation quality evaluation using region-based precision and recall measures for remote sensing images
TL;DR: This study proposes region-based precision and recall measures and uses them to compare two image partitions for the purpose of evaluating segmentation quality, and suggests using a combination of the region- based precision–recall curve and the F-measure for supervised segmentation evaluation.
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Robust Speaker Localization Guided by Deep Learning-Based Time-Frequency Masking
TL;DR: Deep learning-based time-frequency (T-F) masking has dramatically advanced monaural (single-channel) speech separation and enhancement, but its potential for direction of arrival (DOA) estimation in noisy and reverberant environments is investigated.
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A robust Multi-Band Water Index (MBWI) for automated extraction of surface water from Landsat 8 OLI imagery
TL;DR: Wang et al. as discussed by the authors proposed a new Multi-Band Water Index (MBWI) for Landsat 8 Operational Land Imager (OLI) images by maximizing the spectral difference between water and non-water surfaces using pure pixels.