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| 1 | Effect of Co substitution on the glass forming ability and magnetocaloric effect of Fe88Zr8B4 amorphous alloys显示文摘As greater attention is paid to energy consumption and global warming,magnetic refrigeration(MR)technologies based on the magneto-caloric effect(MCE)have been developed.Systems based on MR are expected to be more compact。 | LiangHua Gan LiYan Ma BenZhen Tang Ding Ding Lei Xia | 2017 | Science China(Physics,Mechanics & Astronomy)2017，60，7： | 2 |
| 2 | A review of studies on public-private partnership projects in the construction in- dustry 显示文摘 | Tang LiYanning Qiping Shen Eddie WL Cheng | 2010 | International Journal of Project Management2010，，28： | 1 |
| 3 | New fourthorder partial differential equations for filtering in electronic speckle pattern interfereometry fringes 显示文摘 | CHENG LIYAN CHEN TANG SI YAN | 2011 | Optics Communications2011，284，24： | 1 |
| 4 | Robust image Hashing using ring-based entropies 显示文摘 | Tang Zhenjun Zhang Xianquan Huang Liyan | 2013 | Signal Processing2013，93，7： | 1 |
| 5 | Robust image hashing based on multiple histograms 显示文摘 | TANG Zhenjun HUANG Liyan DAI Yumin | 2012 | International Journal of Digital Content Technolo-gy and Its Applications2012，23，6： | 1 |
| 6 | Ranked Critical Factors in PPP Briefings显示文摘 | LiYaning Tang Qiping Shen Skitmore M | 2013 | Journal of Management in Engineering2013，29，2： | 1 |
| 7 | Transient simulation of power transformers using 3D finite element model coupled to electric circuit equations显示文摘 | Tang Renyuan Wang Shenghui LiYan etal | 2000 | IEEE Transactions on Magnetics2000，36，4： | 1 |
| 8 | Wood identification with PCR targeting noncoding chloroplast DNA 显示文摘 | TANG Xiaoshu ZHAO Guangjie PING Liyan | 2011 | Plant Mol Biol2011，77，6： | 1 |
| 9 | A review of studies on Public–Private Partnership projects in the construction industry显示文摘 | LiYaning Tang Qiping Shen Eddie W.L. Cheng | 2009 | International Journal of Project Management2009，，7： | 1 |
| 10 | Monte Carlo simu-lation of vapor-liquid equilibrium and critical asymmetry ofsquare-well dimer fluid显示文摘 | Li Liyan Tang Kaiwei Wu Liang | 2012 | Journal of Chemical Physics2012，136，21： | 1 |
| 11 | Factors affecting effectivenessand efficiency of analyzing stakeholders needs at thebriefing stage of public private partnershipprojects 显示文摘 | LiYaning Tang Qiping Shen | 2013 | International Journal of Project Management2013，31，4： | 1 |
| 12 | Robust image hashing based on multiple histograms 显示文摘 | TANG Zhenjun HUANG Liyan DAI Yumin | 2012 | International Journal of Digital Content Technolo-gy and Its Applications2012，23，6： | 1 |
| 13 | Augmented FCN:rethinking context modeling for semantic segmentation显示文摘The effectiveness of modeling contextual information has been empirically shown in numerous computer vision tasks.In this paper,we propose a simple yet efficient augmented fully convolutional network(AugFCN)by aggregating content-and position-based object contexts for semantic segmentation.Specifically,motivated because each deep feature map is a global,class-wise representation of the input,we first propose an augmented nonlocal interaction(AugNI)to aggregate the global content-based contexts through all feature map interactions.Compared to classical position-wise approaches,AugNI is more efficient.Moreover,to eliminate permutation equivariance and maintain translation equivariance,a learnable,relative position embedding branch is then supportably installed in AugNI to capture the global positionbased contexts.AugFCN is built on a fully convolutional network as the backbone by deploying AugNI before the segmentation head network.Experimental results on two challenging benchmarks verify that AugFCN can achieve a competitive 45.38%mIoU(standard mean intersection over union)and 81.9%mIoU on the ADE20K val set and Cityscapes test set,respectively,with little computational overhead.Additionally,the results of the joint implementation of AugNI and existing context modeling schemes show that AugFCN leads to continuous segmentation improvements in state-of-the-art context modeling.We finally achieve a top performance of 45.43%mIoU on the ADE20K val set and 83.0%mIoU on the Cityscapes test set. | Dong ZHANG Liyan ZHANG Jinhui TANG | 2023 | Science China(Information Sciences)2023，66，4： | 0 |
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