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您的检索式：作者名="Hengtao Li"
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| 1 | Susceptibility-weighted imaging in grading brain astrocytomas显示文摘 | Chuanting Li Bin Ai Yan Li Hengtao Qi Lebin Wu | 2009 | European Journal of Radiology2009，，： | 1 |
| 2 | Collective Synthesis of Schilancidilactones A, B and Schilancitrilactones A, B, C, 20‐epi‐Schilancitrilactone A显示文摘Summary of main observation and conclusion Schisandraceae triterpenoids are novel natural products that contain highly fused ring systems bearing multiple chiral centers surrounding. Some of them exhibit promising bioactivities, such as antitumor, anti‐HIV, etc. In this article, we describe our efforts to the collective total synthesis of schilancidilactones A, B, schilancitrilactones A, B, C, and 20‐epi‐schilancitrilactone A from common precursors. An intramolecular radical cyclization, late‐stage halogenation and AIBN‐mediated or Ni‐catalyzed intermolecular radical cross coupling reaction were employed as the key steps. | Hengtao Wang Liang Wang Yihang Li Xiunan Zhang Pingping Tang | 2019 | Chinese Journal of Chemistry2019，37，3： | 1 |
| 3 | Enhanced context encoding for single image raindrop removal显示文摘Despite the great success achieved by convolutional neural networks in addressing the raindrop removal problem,the still relatively blurry results call for better problem formulations and network architectures.In this paper,we revisited the rainy-to-clean translation networks and identified the issue of imbalanced distribution between raindrops and varied background scenes.None of the existing raindrop removal networks consider this underlying issue,thus resulting in the learned representation biased towards modeling raindrop regions while paying less attention to the important contextual regions.With the aim of learning a more powerful raindrop removal model,we propose learning a soft mask map explicitly for mitigating the imbalanced distribution problem.Specifically,a two stage network is designed with the first stage generating the soft masks,which helps learn a context-enhanced representation in the second stage.To better model the heterogeneously distributed raindrops,a multi-scale dense residual block is designed to construct the hierarchical rainy-to-clean image translation network.Comprehensive experimental results demonstrate the significant superiority of the proposed models over state-of-the-art methods. | WANG GuoQing YANG Yang XU Xing LI JingJing SHEN HengTao | 2021 | Science China(Technological Sciences)2021，64，12： | 0 |
| 4 | Theoretical dissection of superconductivity in two-dimensional honeycomb borophene oxide B_(2)O crystal with a high stability显示文摘Atomically thin borophene has recently been synthesized experimentally,significantly enriching the boron chemistry and broadening the family of two-dimensional(2D)materials.Recently,oxides of 2D materials have been widely investigated for nextgeneration electronic devices.Based on the first-principles calculations,we predict the existence of the superconductivity in honeycomb borophene oxide(B_(2)O),which possesses a high stability and could be potentially prepared by intrinsically incorporating oxygen into the recently synthesized borophene. | Luo Yan Peng-Fei Liu Hengtao Li Yong Tang Junjie He Xingyong Huang Bao-Tian Wang Liujiang Zhou | 2020 | npj Computational Materials2020，，1： | 0 |
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