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您的检索式：作者名="SUN Runlong"
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| 1 | SHRIMP zircon dating and LA-ICPMS Hf analysis of early Precambrian rocks from drill holes into the basement beneath the Central Hebei Basin,North China Craton显示文摘The Central Hebei Basin(CHB) is one of the largest sedimentary basins in the North China Craton,extending in a northeast-southwest direction with an area of >350 km2.We carried out SHRIMP zircon dating,Hf-in-zircon isotopic analysis and a whole-rock geochemical study on igneous and metasedimentary rocks recovered from drill holes that penetrated into the basement of the CHB.Two samples of gneissic granodiorite(XG1-1) and gneissic quartz diorite(J48-1) have magmatic ages of 2500 and2496 Ma.respectively.Their zircons also record metamorphic ages of 2.41-2.51 and 2.5 Ga,respectively.Compared with the gneissic granodiorite,the gneissic quartz diorite has higher ∑REE contents and lower Eu/Eu* and(La/Yb)n values.Two metasedimentary samples(MG1,H5) mainly contain 2.5 Ga detrital zircons as well as late Paleoproterozoic metamorphic grains.The zircons of different origins haveεHf(2.5 Ga) values and Hf crustal model ages ranging from 0 to 5 and 2.7 to 2.9 Ga.respectively.Therefore,2.5 Ga magmatic and Paleoproterozoic metasedimentary rocks and late Neoarchean to early Paleoproterozoic and late Paleoproterozoic tectono-thermal events have been identified in the basement beneath the CHB.Based on regional comparisons,we conclude that the early Precambrian basement beneath the CHB is part of the North China Craton. | Yusheng Wan Xianzheng Zhao Zejiu Wang Dunyi Liu Alfred Krner Chunyan Dong Hangqian Xie Yuansheng Geng Yuhai Zhang Runlong Fan Huiyi Sun | 2014 | Geoscience Frontiers2014，5，4： | 3 |
| 2 | Age, Growth and Maturation of Largehead Hairtail (Trichiurus japonicus) in the East China Sea显示文摘Largehead hairtail(Trichiurus japonicus)is a commercially important fish species in China Seas,characterized by wide distribution,seasonal migration,spawning all year round.Under long-term high fishing pressure,the biological traits of largehead hair-tail have changed,such as miniaturization,smaller size-at-age and earlier age-at-maturation.To explore its current biological charac-ters,we analyzed age,growth and maturation of largehead hairtail in the East China Sea by analyzing the otolith microstructure and gonads.The results showed that largehead hairtail is mainly composed of 1 year and 2 years old individuals.The estimated von Ber-talanffy growth function(VBGF)showed significant differences between sexes,and asymptotic pre-anal length of male is longer than that of female.Two spawning seasons were observed in spring and autumn by monthly gonadosomatic index(GSI).Compared to historic survey data,the average pre-anal length at age decreased and size-at-maturation became smaller in the East China Sea.This study updates life history parameters of largehead hairtail,and provides a reference for the present status of largehead hairtail,which can contribute to largehead haritail stock assessment and sustainable utilization in the China Seas. | CHENG Shuo SUN Peng LIU Yang CHEN Qi SHI Zhengtong SUN Runlong | 2022 | Journal of Ocean University of China2022，21，5： | 2 |
| 3 | Deep3DSketch-im:rapid high-fidelity AI 3D model generation by single freehand sketches显示文摘The rise of artificial intelligence generated content(AIGC)has been remarkable in the language and image fields,but artificial intelligence(AI)generated three-dimensional(3D)models are still under-explored due to their complex nature and lack of training data.The conventional approach of creating 3D content through computer-aided design(CAD)is labor-intensive and requires expertise,making it challenging for novice users.To address this issue,we propose a sketch-based 3D modeling approach,Deep3DSketch-im,which uses a single freehand sketch for modeling.This is a challenging task due to the sparsity and ambiguity.Deep3DSketch-im uses a novel data representation called the signed distance field(SDF)to improve the sketch-to-3D model process by incorporating an implicit continuous field instead of voxel or points,and a specially designed neural network that can capture point and local features.Extensive experiments are conducted to demonstrate the effectiveness of the approach,achieving state-of-the-art(SOTA)performance on both synthetic and real datasets.Additionally,users show more satisfaction with results generated by Deep3DSketch-im,as reported in a user study.We believe that Deep3DSketch-im has the potential to revolutionize the process of 3D modeling by providing an intuitive and easy-to-use solution for novice users. | Tianrun CHEN Runlong CAO Zejian LI Ying ZANG Lingyun SUN | 2024 | Frontiers of Information Technology & Electronic Engineering2024，25，1： | 0 |
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