Ying Ma

ORCID: 0009-0000-3100-6622
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About
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Research Areas
  • Text and Document Classification Technologies
  • Geochemistry and Geologic Mapping
  • Numerical methods for differential equations
  • Advanced Image and Video Retrieval Techniques
  • Geological and Geochemical Analysis
  • Geochemistry and Geochronology of Asian Mineral Deposits
  • Advancements in Battery Materials
  • Natural Language Processing Techniques
  • Advanced Vision and Imaging
  • Human Motion and Animation
  • Domain Adaptation and Few-Shot Learning
  • Algebraic structures and combinatorial models
  • Cooperative Communication and Network Coding
  • Advanced Battery Materials and Technologies
  • Advanced Wireless Communication Techniques
  • MXene and MAX Phase Materials
  • Advanced Numerical Methods in Computational Mathematics
  • Vehicular Ad Hoc Networks (VANETs)
  • Advanced Combinatorial Mathematics
  • Speech Recognition and Synthesis
  • Emotion and Mood Recognition
  • Image Enhancement Techniques
  • Climate change and permafrost
  • Marine Sponges and Natural Products
  • Ideological and Political Education

Xi'an Technological University
2022-2025

Beijing University of Posts and Telecommunications
2023-2025

Xiamen University
2024

Jilin University of Finance and Economics
2024

Changchun University
2024

Xi'an Shiyou University
2023

Xiamen University of Technology
2022-2023

Yunnan University
2023

Tianjin Normal University
2023

Changchun Institute of Technology
2022

Abstract Herein we report a structure‐unit‐based asymmetric total synthesis of sinulochmodin C, norcembranoid diterpenoid bearing transannular strained ether bridge β‐keto tetrahydrofuran moiety. Our synthetic route features an intramolecular double Michael addition to construct stereospecifically the [7,6,5,5] tetracyclic skeleton, vinylogous hydroxylation/oxidation procedure or stereospecific epoxide opening/oxidation sequence establish γ‐keto enone intermediate, Lewis acid/Brønsted acid...

10.1002/anie.202315481 article EN Angewandte Chemie International Edition 2023-11-27

Lithium-sulfur batteries have garnered significant interest as potential energy storage systems for the future, owing to their remarkable theoretical specific capacity (1675 mA h g

10.1039/d3dt02156d article EN Dalton Transactions 2023-11-23

In-betweening is a technique for generating transitions given start and target character states. The majority of existing works require multiple (often <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\geq$</tex-math></inline-formula> 10) frames as input, which are not always available. In addition, they produce results that lack diversity, may fulfill artists' requirements. Addressing these gaps, our work...

10.1109/tvcg.2024.3363457 article EN IEEE Transactions on Visualization and Computer Graphics 2024-01-01

In-betweening is a technique for generating transitions given initial and target character states. The majority of existing works require multiple (often $>$10) frames as input, which are not always accessible. Our work deals with focused yet challenging problem: to generate the transition when exactly two (only first last). To cope this scenario, we implement our bi-directional scheme generates forward backward from start end adversarial autoregressive networks, stitches them in middle...

10.48550/arxiv.2303.14457 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Abstract. The inhomogeneous sky background presents a great challenge for accurate cloud recognition from the total images. A channel operation was introduced in this study to produce new composite which difference of atmospheric scattering has been removed and homogeneous can be obtained. Following this, detection algorithm proposed, combined merits differencing threshold methods named "differencing combination (DTCA)". Firstly, applied transform 3-D RGB images channel, then circumsolar...

10.5194/amt-2016-222 preprint EN cc-by 2016-08-31

Writing is one of the five major English language skills according to new curriculum standards, and writing also reflects core competence students in English. ability a basic skill that should master process learning. However, teaching most difficult neglected parts teaching. The current model generally teacher-centered, focusing on results neglecting process. This method often time-consuming, has little effect. Cooperative learning student-centered, values students, encourages help each...

10.32629/jher.v3i2.746 article EN Journal of Higher Education Research 2022-04-19

With the rapid development of machine learning, cloud computing and big data technology, translation accuracy fluency computer-aided English system can be greatly improved again. Based on above reasons, this paper discusses research an assisted by learning aggregation algorithm. By placing storage resources in cloud, process massive language more efficiently realize real-time update optimization. At same time, algorithm also help to better cope with diversity complexity data, so as improve...

10.1109/icdcece60827.2024.10549679 article EN 2024-04-26

Mapping or quantitative inversion through remote sensing technology is an active way for mineral monitoring in large uncultivated forest areas. Different spectral features of minerals, induced by ionic composition, can be identified which are related to type abundance. Based on the distinctive absorption around 2.33µm carbonate ion, we use it as analytic target propose improved continuum removal (ICR) algorithm couple with normalized abundance evaluate relationship between band depth (CRBD)...

10.20944/preprints202305.0381.v1 preprint EN 2023-05-06

Chinese HPHT diamonds have improved dramatically in recent years. However, this brings a challenge identifying type IIa colorless diamonds. In study, eleven and three natural, colorless, gem-quality were analyzed using magnified observation, Raman, PL chemical element analysis. The results show that only samples possessed kite-like inclusions lichenoid inclusions, as verified by their complex Raman spectra (100–750 cm−1). Through mapping, natural distinguished growth environments, which...

10.3390/cryst12091266 article EN cc-by Crystals 2022-09-06

The author firstly builds the energy green scheduling model of cloud computing data center, then trains in deep neural network based on artificial intelligence technology, and finally designs a distributed management method from perspective cost minimization carbon emission minimization. According to design scheme, some key technologies are used compare implement relevant modules laboratory environment, security center can be controlled through an intuitive interface, thus ensuring center....

10.1109/icecaa55415.2022.9936354 article EN 2022 International Conference on Edge Computing and Applications (ICECAA) 2022-10-13

The safe operation of transmission lines is a necessary guarantee for the power grid. A RBF neural network based improved fuzzy C-mean algorithm proposed fault routing demand in small current grounding system. 10 kV system was constructed by using ATP/EMTP electromagnetic transient software. Cable lines, overhead and mixed cable are designed simulation. simulation simulates single-phase ungrounded neutral point grounded via arc extinguishing coil results analysis data MATLAB software show...

10.1109/itaic54216.2022.9836555 article EN 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) 2022-06-17

We present different regularizations and numerical methods for the nonlinear Schr\"odinger equation with singular nonlinearity (sNLSE) including regularized Lie-Trotter time-splitting (LTTS) Lawson-type exponential integrator (LTEI) methods. Due to blowup of nonlinearity, i.e., $f(\rho)=\rho^{\alpha}$ a fixed exponent $\alpha<0$ goes infinity when $\rho \to 0^+$ ($\rho = |\psi|^2$ represents density $\psi$ being complex-valued wave function or order parameter), there are significant...

10.48550/arxiv.2210.16361 preprint EN other-oa arXiv (Cornell University) 2022-01-01

The sensitivity information of objective and constraint functions is required in gradient-based optimization algorithms. Usually the more accurate gradients are estimated, faster convergence speed will be. Commonly used gradient estimation methods, e.g., finite differences, either have low estimate accuracy or require much computing budget. This paper presents a metamodel-based (MGE) method. In our numerical investigations, proposed MGE method achieves estimates than forward difference (FDM)...

10.1115/gt2015-42959 article EN 2015-06-15

10.1049/cp.2011.1139 article EN 3rd International Conference on Contemporary Problems in Architecture and Construction 2011-01-01
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