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Shuai Li
Researcher at Beihang University
Publications - 858
Citations - 18829
Shuai Li is an academic researcher from Beihang University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 53, co-authored 746 publications receiving 12765 citations. Previous affiliations of Shuai Li include Carnegie Mellon University & Imperial College London.
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Journal ArticleDOI
Genomic analyses provide insights into the history of tomato breeding
Tao Lin,Guangtao Zhu,Junhong Zhang,Xiangyang Xu,Qinghui Yu,Zheng Zheng,Zhonghua Zhang,Lun Yaoyao,Shuai Li,Xiaoxuan Wang,Zejun Huang,Junming Li,Chunzhi Zhang,Taotao Wang,Yuyang Zhang,Aoxue Wang,Yan-Cong Zhang,Kui Lin,Chuanyou Li,Guosheng Xiong,Yongbiao Xue,Andrea Mazzucato,Mathilde Causse,Zhangjun Fei,James J. Giovannoni,Roger T. Chetelat,Dani Zamir,Thomas Städler,Jingfu Li,Zhibiao Ye,Yongchen Du,Sanwen Huang +31 more
TL;DR: A comprehensive analysis of tomato evolution based on the genome sequences of 360 accessions provides evidence that domestication and improvement focused on two independent sets of quantitative trait loci (QTLs), resulting in modern tomato fruit ∼100 times larger than its ancestor.
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Effect of heat treatment on AlSi10Mg alloy fabricated by selective laser melting: Microstructure evolution, mechanical properties and fracture mechanism
TL;DR: In this paper, the influence of solution and artificial aging heat treatments on the microstructures and mechanical properties of SLM-produced AlSi10Mg alloy parts was investigated.
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Lensless computational imaging through deep learning
TL;DR: In this paper, the authors demonstrate that deep neural networks (DNNs) can be trained to solve end-to-end inverse problems in computational imaging, where a DNN was trained to recover phase objects given their propagated intensity diffraction patterns.
Proceedings ArticleDOI
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
TL;DR: Independently Recurrent Neural Network (IndRNN) as discussed by the authors is a new type of RNN, where neurons in the same layer are independent of each other and they are connected across layers.
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Microstructure Characteristics of Inconel 625 Superalloy Manufactured by Selective Laser Melting
TL;DR: In this paper, the Inconel 625 alloy, a widely used material in the aerospace industry, was chosen as the build material for selective laser melting (SLM), an additive manufacturing process capable of manufacturing metallic parts with complex shapes directly from computer-aided design (CAD) models.