Her primary scientific interests are in Artificial intelligence, Graphene, Electrochemistry, Computer vision and Lithium. Her Artificial intelligence study often links to related topics such as Pattern recognition. Lin Ma combines subjects such as Composite number, Composite material, Oxide and High-resolution transmission electron microscopy with her study of Graphene.
Her research in Electrochemistry intersects with topics in Hydrothermal synthesis and Molybdenum disulfide. Her Computer vision research is multidisciplinary, relying on both Classifier and Convolution. Her Nanotechnology research integrates issues from Absorption and Chemical engineering.
Her main research concerns Artificial intelligence, Computer vision, Image, Pattern recognition and Chemical engineering. Her Computer vision study integrates concerns from other disciplines, such as Frame, Distortion and Video quality. Her Image research incorporates elements of Artificial neural network, Field and Representation.
As a member of one scientific family, she mostly works in the field of Chemical engineering, focusing on Scanning electron microscope and, on occasion, Transmission electron microscopy and X-ray photoelectron spectroscopy. Her work focuses on many connections between Hydrothermal circulation and other disciplines, such as Electrochemistry, that overlap with her field of interest in Molybdenum disulfide, Lithium, Annealing and Anode. Graphene is closely connected to Raman spectroscopy in her research, which is encompassed under the umbrella topic of High-resolution transmission electron microscopy.
Lin Ma mostly deals with Artificial intelligence, Computer vision, Image, Sentence and Pattern recognition. Her Artificial intelligence research focuses on Natural language processing and how it relates to Task. Her work in the fields of Computer vision, such as Feature extraction, Rotation and Face, overlaps with other areas such as Encoder.
She interconnects Embedding, Text retrieval and Sample in the investigation of issues within Image. Lin Ma combines subjects such as Matching, Speech recognition, Benchmark and Closed captioning with her study of Sentence. The Similarity research she does as part of her general Pattern recognition study is frequently linked to other disciplines of science, such as Key, Layer and Domain, therefore creating a link between diverse domains of science.
Her scientific interests lie mostly in Artificial intelligence, Computer vision, Sentence, Pattern recognition and Matching. Her Machine learning research extends to Artificial intelligence, which is thematically connected. Her Computer vision study combines topics from a wide range of disciplines, such as Classifier and One-shot learning.
Her studies deal with areas such as Speech recognition, Benchmark and Closed captioning as well as Sentence. As a part of the same scientific study, Lin Ma usually deals with the Pattern recognition, concentrating on Consistency and frequently concerns with Inpainting, Variation, Salience and Softmax function. Her studies in Matching integrate themes in fields like Semantics and Representation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
CTAB-assisted synthesis of single-layer MoS2–graphene composites as anode materials of Li-ion batteries
Zhen Wang;Tao Chen;Weixiang Chen;Kun Chang.
Journal of Materials Chemistry (2013)
The Origin of Fluorescence from Graphene Oxide
Jingzhi Shang;Lin Ma;Jiewei Li;Jiewei Li;Wei Ai;Wei Ai.
Scientific Reports (2012)
Graphene-like MoS2/amorphous carbon composites with high capacity and excellent stability as anode materials for lithium ion batteries
Kun Chang;Weixiang Chen;Lin Ma;Hui Li.
Journal of Materials Chemistry (2011)
Global Λ hyperon polarization in nuclear collisions
L. Adamczyk;A. Lebedev;I. Kisel;T. Todoroki.
Nature (2017)
Magnetic field-induced martensitic transformation and large magnetoresistance in NiCoMnSb alloys
S. Y. Yu;L. Ma;G. D. Liu;Z. H. Liu.
Applied Physics Letters (2007)
Graphene‐Like MoS2/Graphene Composites: Cationic Surfactant‐Assisted Hydrothermal Synthesis and Electrochemical Reversible Storage of Lithium
Guochuang Huang;Tao Chen;Weixiang Chen;Zhen Wang.
Small (2013)
Learning to answer questions from image using convolutional neural network
Lin Ma;Zhengdong Lu;Hang Li.
national conference on artificial intelligence (2016)
TiO2/(CdS, CdSe, CdSeS) Nanorod Heterostructures and Photoelectrochemical Properties
Jingshan Luo;Lin Ma;Tingchao He;Chin Fan Ng.
Journal of Physical Chemistry C (2012)
Gated Fusion Network for Single Image Dehazing
Wenqi Ren;Lin Ma;Jiawei Zhang;Jinshan Pan.
computer vision and pattern recognition (2018)
Multimodal Convolutional Neural Networks for Matching Image and Sentence
Lin Ma;Zhengdong Lu;Lifeng Shang;Hang Li.
international conference on computer vision (2015)
Profile was last updated on December 6th, 2021.
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