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| 1 | Understanding the structure–performance relationship of active sites at atomic scale显示文摘Metal-based atomically dispersed catalysts have attracted more attention because of their excellent catalytic performance and nearly 100%atom utilization.Therefore,it is very important to comprehensively and systematically understand the relationship between catalytic active sites and catalytic performance at atomic scale.Here,we discuss and summarize in detail the key and fundamental factors affecting the active site,and relate them to the catalytic performance.First,we describe the effectiveness of active site design by coordination effects.Then,the role of chemical bonds in the active sites in changing the reaction performance is discussed.In addition,for intermetallic compounds,we explore how the spacing of active atoms affects the catalytic behavior.Moreover,the importance of synergistic effect in catalyst design is further discussed.Finally,the key parameters affecting the catalytic performance at atomic scale are summarized,and the main challenges and development prospects of atomic catalysts in the future are put forward. | Runze Li Dingsheng Wang | 2022 | Nano Research2022，15，8： | 13 |
| 2 | Gene and mutation independent therapy via CRISPR-Cas9 mediated cellular reprogramming in rod photoreceptors显示文摘 | Zhu, Jie Ming, Chang Fu, Xin Duan, Yaou Duc Anh Hoang Rutgard, Jeffrey Zhang, Runze Wang, Wenqiu Hou, Rui Zhang, Daniel Zhang, Edward Zhang, Charlotte Hao, Xiaoke Xiong, Wenjun Zhang, Kang | 2017 | Cell Research2017，27，6： | 11 |
| 3 | Milling surface roughness for 7050 aluminum alloy cavity influenced by nozzle position of nanofluid minimum quantity lubrication显示文摘In nanofluid minimum quantity lubrication(NMQL)milling of aviation aluminum alloy,it is the bottleneck problem to adjust the position parameters(target distance,incidence angle,and elevation angle)of the nozzle to improve the surface roughness of milling,which has large and uncontrollable errors.In this paper,the influence law of milling cutter speed,helical angle,and cavity shape on the flow field around the milling cutter was studied,and the optimal nozzle profile parameters were obtained.Using 7050 aluminum alloy as the workpiece material,the milling experiment of the NMQL cavity was conducted by utilizing cottonseed oil-based Al2 O3 nanofluid.Results show that the high velocity of the surrounding air flow field and the strong gas barrier could be attributed to high rotating velocities of the milling cutter.The incidence angle of the nozzle was consistent with the helical angle of the milling cutter,the target distance was appropriate at 25–30 mm,and the elevation angle was suitable at 60°–65°.The range and variance analyses of the signal-to-noise ratio of milling force and roughness were performed,and the chip morphology was observed and analyzed.The results show that the optimal combination of nozzle position parameters was the target distance of 30 mm,the incidence angle of 35°,and the elevation angle of 60°.Among these parameters,target distance had the largest impact on cutting performance with a contribution rate of more than 55%,followed by incidence angle and elevation contribution rate.Analysis by orthogonal experiment revealed that the nozzle position parameters were appropriate,and Ra(0.087 lm)was reduced by 30.4%from the maximum value(0.125 lm).Moreover,Rsm(0.05 mm)was minimum,which was 36%lower than that of the seventh group(Rsm=0.078 mm). | Zhenjing DUAN Changhe LI Yanbin ZHANG Lan DONG Xiufang BAI Min YANG Dongzhou JIA Runze LI Huajun CAO Xuefeng XU | 2021 | Chinese Journal of Aeronautics2021，34，6： | 10 |
| 4 | A selective overview of feature screening for ultrahigh-dimensional data显示文摘High-dimensional data have frequently been collected in many scientific areas including genomewide association study, biomedical imaging, tomography, tumor classifications, and finance. Analysis of highdimensional data poses many challenges for statisticians. Feature selection and variable selection are fundamental for high-dimensional data analysis. The sparsity principle, which assumes that only a small number of predictors contribute to the response, is frequently adopted and deemed useful in the analysis of high-dimensional data.Following this general principle, a large number of variable selection approaches via penalized least squares or likelihood have been developed in the recent literature to estimate a sparse model and select significant variables simultaneously. While the penalized variable selection methods have been successfully applied in many highdimensional analyses, modern applications in areas such as genomics and proteomics push the dimensionality of data to an even larger scale, where the dimension of data may grow exponentially with the sample size. This has been called ultrahigh-dimensional data in the literature. This work aims to present a selective overview of feature screening procedures for ultrahigh-dimensional data. We focus on insights into how to construct marginal utilities for feature screening on specific models and motivation for the need of model-free feature screening procedures. | LIU JingYuan ZHONG Wei LI RunZe | 2015 | Science China Mathematics2015，58，10： | 8 |
| 5 | Whether Probiotic Supplementation Benefits Rheumatoid Arthritis Patients: A Systematic Review and Meta-Analysis显示文摘Gut and oral microflora are important factors in the pathogenesis and development of rheumatoid arthritis(RA). Recent studies have shown that probiotic supplements have beneficial consequences on experimental arthritis in rats. However, results from randomized clinical trials on the effects of probiotics have not been consistent. The aim of this study was to systematically review the existing evidence for the effects of probiotic intervention in RA. We included randomized controlled trials(RCTs) of RA patients receiving stable treatment with disease-modifying anti-rheumatic drugs(DMARDs) that:(1) were combined with additional probiotic supplements or(2) were combined with either no additional supplements or only a placebo treatment. Statistical analysis was performed using Review Manager 5.3.3.Six randomized clinical trials were eligible for inclusion in the meta-analysis, with 249 participants in total. The results showed that the probiotic intervention treatment has not yet achieved significant improvement in the American College of Rheumatology 20% improvement criteria(ACR20) score and the disease activity score in 28 joints(DAS28). The laboratory index C-reactive protein(CRP)(mg·L–1) was significantly reduced in the intervention group. The expression of inflammatory cytokines tumor necrosis factor(TNF)-α and interleukine(IL)-1β was also significantly reduced, while IL-10 expression increased in the probiotic intervention groups. This article is the first systematic review and meta-analysis providing a comprehensive assessment of the benefits of treating RA with probiotics. We found that probiotic supplementation may show a limited improvement in RA therapy in existing reports because of a lack of sufficiently high-quality work on the part of clinicians. More multi-centered, large-sample RCTs are needed in order to evaluate the benefits of probiotics in RA treatment. | Hudan Pan Runze Li Ting Li Jun Wang Liang Liu | 2017 | Engineering2017，3，1： | 7 |
| 6 | Aircraft Engine Gas Path Fault Diagnosis Based on Hybrid PSO-TWSVM显示文摘Twin support vector machine(TWSVM)is a new development of support vector machine(SVM)algorithm.It has the smaller computation scale and the stronger ability to cope with unbalanced problems.In this paper,TWSVM is introduced into aircraft engine gas path fault diagnosis.The generalization capacity of Gauss kernel function usually used in TWSVM is relatively weak.So a mixed kernel function is used to improve performance to ensure that the TWSVM algorithm can better balance a strong generalization ability and a good learning ability.Experimental results prove that the cross validation training accuracy of TWSVM using the mixed kernel function averagely increases 2%.Grid search is usually applied in parameter optimization of TWSVM,but it heavily depends on experience.Therefore,the hybrid particle swarm algorithm is introduced.It can intelligently and rapidly find the global optimum.Experiments prove that its training accuracy is better than that of the classical particle swarm algorithm by 5%. | Du Yanbin Xiao Lingfei Chen Yusheng Ding Runze | 2018 | Transactions of Nanjing University of Aeronautics and Astronautics2018，35，2： | 6 |
| 7 | 电场参数对雾化特性及微量润滑磨削性能影响的实验研究显示文摘为了探究针-板电极电场参数对雾化特性微量润滑磨削性能的影响,通过调节电压幅值和电极间距进行微量润滑平面磨削实验,根据所得雾化锥角、雾滴粒径算术平均值、磨削力及表面粗糙度Ra值进行机理分析。实验结果表明静电雾化微量润滑在高压静电场的参与下,液滴荷电后会发生二次甚至多次雾化。随着电压幅值的升高,雾化锥角增大,雾滴的平均粒径减小并扩散均匀,同时润滑液的润滑性能也有所提高。在电压幅值一定,电极间距为160 mm时,获得最优的润滑性能;在电极间距一定,电压幅值为50 k V时,相比于无静电微量润滑,比切向磨削力Ft'、比法向磨削力Fn'及表面粗糙度R_a值,分别减小25.01%、15.08%、22.18%,获得最优的润滑性能。 | 张晓阳 李长河 张彦彬 杨敏 贾东洲 侯亚丽 张乃庆 Runze Li 纪合聚 | 2018 | 制造技术与机床2018，0，10： | 5 |
| 8 | A large time step Godunov scheme for free-surface shallow water equations显示文摘An algorithm for simulating free surface flows is presented using large time step based on the wave-propagation method proposed by LeVeque,and an exact Riemann solver is used.A multiple wave approximation approach was suggested for eliminating the discontinuities found in the rarefaction fans of dam-breaking flows.In addition,we use the random choice method to reduce non-physical oscillations.Applications demonstrate that the algorithm proposed in this paper can considerably increase the CFL number up to 25when modeling dam-break flows,while retaining satisfactory accuracy and efficiency.This suggests that our algorithm has the potential to be applied to modeling free surface flows. | Renyi Xu Deyu Zhong Baosheng Wu Xudong Fu Runze Miao | 2014 | Chinese Science Bulletin2014，59，21： | 5 |
| 9 | Robust estimation for partially linear models with large-dimensional covariates显示文摘We are concerned with robust estimation procedures to estimate the parameters in partially linear models with large-dimensional covariates. To enhance the interpretability, we suggest implementing a nonconcave regularization method in the robust estimation procedure to select important covariates from the linear component. We establish the consistency for both the linear and the nonlinear components when the covariate dimension diverges at the rate of o(n1/2), where n is the sample size. We show that the robust estimate of linear component performs asymptotically as well as its oracle counterpart which assumes the baseline function and the unimportant covariates were known a priori. With a consistent estimator of the linear component, we estimate the nonparametric component by a robust local linear regression. It is proved that the robust estimate of nonlinear component performs asymptotically as well as if the linear component were known in advance.Comprehensive simulation studies are carried out and an application is presented to examine the fnite-sample performance of the proposed procedures. | ZHU LiPing LI RunZe CUI HengJian | 2013 | Science China Mathematics2013，56，10： | 5 |
| 10 | Model-free conditional independence feature screening for ultrahigh dimensional data显示文摘Feature screening plays an important role in ultrahigh dimensional data analysis.This paper is concerned with conditional feature screening when one is interested in detecting the association between the response and ultrahigh dimensional predictors(e.g.,genetic makers)given a low-dimensional exposure variable(such as clinical variables or environmental variables).To this end,we first propose a new index to measure conditional independence,and further develop a conditional screening procedure based on the newly proposed index.We systematically study the theoretical property of the proposed procedure and establish the sure screening and ranking consistency properties under some very mild conditions.The newly proposed screening procedure enjoys some appealing properties.(a)It is model-free in that its implementation does not require a specification on the model structure;(b)it is robust to heavy-tailed distributions or outliers in both directions of response and predictors;and(c)it can deal with both feature screening and the conditional screening in a unified way.We study the finite sample performance of the proposed procedure by Monte Carlo simulations and further illustrate the proposed method through two real data examples. | WANG LuHeng LIU JingYuan LI Yong LI RunZe | 2017 | Science China Mathematics2017，60，3： | 5 |
| 11 | Analysis of grinding mechanics and improved grinding force model based on randomized grain geometric characteristics显示文摘Too high grinding force will lead to a large increase in specific grinding energy, resulting in high temperature in grinding zone, especially for the aerospace difficult cutting metal materials,seriously affecting the surface quality and accuracy. At present, the theoretical models of grinding force are mostly based on the assumption of uniform or simplified morphological characteristics of grains, which is inconsistent with the actual grains. Especially for non-engineering grinding wheel,most geometric characteristics of grains are ignored, resulting in the calculation accuracy that cannot guide practical production. Based on this, an improved grinding force model based on random grain geometric characteristics is proposed in this paper. Firstly, the surface topography model of CBN grinding wheel is established, and the effective grain determination mechanism in grinding zone is revealed. Based on the known grinding force model and mechanical behavior of interaction between grains and workpiece in different stages, the concept of grain effective action area is proposed. The variation mechanism of effective action area under the influence of grain geometric and spatial characteristics is deeply analyzed, and the calculation method under random combination of five influencing parameters is obtained. The numerical simulation is carried out to reveal the dynamic variation process of grinding force in grinding zone. In order to verify the theoretical model, the experiments of dry grinding Ti-6Al-4 V are designed. The experimental results show that under different machining parameters, the results of numerical calculation and experimental measurement are in good agreement, and the minimum error value is only 2.1 %, which indicates that the calculation accuracy of grinding force model meets the requirements and is feasible. This study will provide a theoretical basis for optimizing the wheel structure, effectively controlling the grinding force range, adjusting the grinding zone temperature and improving the workpiece machining quality in the industrial grinding process. | Mingzheng LIU Changhe LI Yanbin ZHANG Min YANG Teng GAO Xin CUI Xiaoming WANG Wenhao XU Zongming ZHOU Bo LIU Zafar SAID Runze LI Shubham SHARMA | 2023 | Chinese Journal of Aeronautics2023，36，7： | 5 |
| 12 | ShadowGAN: Shadow synthesis for virtual objects with conditional adversarial networks显示文摘We introduce ShadowGAN, a generative adversarial network(GAN) for synthesizing shadows for virtual objects inserted in images. Given a target image containing several existing objects with shadows,and an input source object with a specified insertion position, the network generates a realistic shadow for the source object. The shadow is synthesized by a generator; using the proposed local adversarial and global adversarial discriminators, the synthetic shadow's appearance is locally realistic in shape, and globally consistent with other objects' shadows in terms of shadow direction and area. To overcome the lack of training data,we produced training samples based on public 3D models and rendering technology. Experimental results from a user study show that the synthetic shadowed results look natural and authentic. | Shuyang Zhang Runze Liang Miao Wang | 2019 | Computational Visual Media2019，5，1： | 5 |
| 13 | Pressure distribution guided supercritical wing optimization显示文摘Pressure distribution is important information for engineers during an aerodynamic design process. Pressure Distribution Oriented(PDO) optimization design has been proposed to introduce pressure distribution manipulation into traditional performance dominated optimization.In previous PDO approaches, constraints or manual manipulation have been used to obtain a desirable pressure distribution. In the present paper, a new Pressure Distribution Guided(PDG) method is developed to enable better pressure distribution manipulation while maintaining optimization efficiency. Based on the RBF-Assisted Differential Evolution(RADE) algorithm, a surrogate model is built for target pressure distribution features. By introducing individuals suggested by suboptimization on the surrogate model into the population, the direction of optimal searching can be guided. Pressure distribution expectation and aerodynamic performance improvement can be achieved at the same time. The improvements of the PDG method are illustrated by comparing its design results and efficiency on airfoil optimization test cases with those obtained using other methods. Then the PDG method is applied on a dual-aisle airplane's inner-board wing design. A total drag reduction of 8 drag counts is achieved. | Runze LI Kaiwen DENG Yufei ZHANG Haixin CHEN | 2018 | Chinese Journal of Aeronautics2018，31，9： | 5 |
| 14 | Diatomite supported nano zero valent iron with 3D network for peroxymonosulfate activation in efficient degradation of bisphenol A显示文摘Diatomite supported nano zero valent iron(n ZVI)catalyst(NDA)with complex network structure was prepared via a mild reduction precipitation method in this work.The pore structure and pore distribution of NDA can be regulated and controlled through adjusting the loading amount of n ZVI.In general,the nano three-dimensional network formed by n ZVI and diatomite channels greatly increase the specific surface area and pore volume of NDA,and further formed more active sites,which made NDA have better performance in activating PMS to degrade BPA than pure n ZVI.The pseudo-first-order reaction rate constant of 50-NDA(50%-n ZVI/diatomite)is almost 3 times higher than that of pure n ZVI.Besides,the electron paramagnetic resonance(EPR)and radical quenching experiments showed that the activation process was dominated by the sulfate radical(SO_(4)^(-))and hydroxyl radical(·OH)produced by Fe;oxidation.The generated electrons promote the self-decomposition of PMS to produce singlet oxygen(^(1)O_(2)),and then the valence state of iron changes to produce free radicals.In addition,the possible degradation pathway of BPA was inferred from the intermediate products identified by liquid chromatograph-mass spectrometer(LC-MS).This study provides a novel strategy for the design and preparation of three-dimensional composite catalysts derived from natural mineral. | Ye Tan Shuilin Zheng Yonghao Di Chunquan Li Runze Bian Zhiming Sun | 2021 | Journal of Materials Science & Technology2021，，36： | 4 |
| 15 | Electrostatic atomization minimum quantity lubrication machining:from mechanism to application显示文摘Metal cutting fluids(MCFs)under flood conditions do not meet the urgent needs of reducing carbon emission.Biolubricant-based minimum quantity lubrication(MQL)is an effective alternative to flood lubrication.However,pneumatic atomization MQL has poor atomization properties,which is detrimental to occupational health.Therefore,electrostatic atomization MQL requires preliminary exploratory studies.However,systematic reviews are lacking in terms of capturing the current research status and development direction of this technology.This study aims to provide a comprehensive review and critical assessment of the existing understanding of electrostatic atomization MQL.This research can be used by scientists to gain insights into the action mechanism,theoretical basis,machining performance,and development direction of this technology.First,the critical equipment,eco-friendly atomization media(biolubricants),and empowering mechanisms of electrostatic atomization MQL are presented.Second,the advanced lubrication and heat transfer mechanisms of biolubricants are revealed by quantitatively comparing MQL with MCF-based wet machining.Third,the distinctive wetting and infiltration mechanisms of electrostatic atomization MQL,combined with its unique empowering mechanism and atomization method,are compared with those of pneumatic atomization MQL.Previous experiments have shown that electrostatic atomization MQL can reduce tool wear by 42.4%in metal cutting and improve the machined surface Ra by 47%compared with pneumatic atomization MQL.Finally,future development directions,including the improvement of the coordination parameters and equipment integration aspects,are proposed. | Wenhao Xu Changhe Li Yanbin Zhang Hafiz Muhammad Ali Shubham Sharma Runze Li Min Yang Teng Gao Mingzheng Liu Xiaoming Wang Zafar Said Xin Liu Zongming Zhou | 2022 | International Journal of Extreme Manufacturing2022，4，4： | 4 |
| 16 | Neutrophil elastase:From mechanisms to therapeutic potential显示文摘Neutrophil elastase(NE),a major protease in the primary granules of neutrophils,is involved in microbicidal activity.NE is an important factor promoting inflammation,has bactericidal effects,and shortens the inflammatory process.NE also regulates tumor growth by promoting metastasis and tumor microenvironment remodeling.However,NE plays a role in killing tumors under certain conditions and promotes other diseases such as pulmonary ventilation dysfunction.Additionally,it plays a complex role in various physiological processes and mediates several diseases.Sivelestat,a specific NE inhibitor,has strong potential for clinical application,particularly in the treatment of coronavirus disease 2019(COVID-19).This review discusses the pathophysiological processes associated with NE and the potential clinical applications of sivelestat. | Weilin Zeng Yingqiu Song Runze Wang Rong He Tianlu Wang | 2023 | Journal of Pharmaceutical Analysis2023，13，4： | 4 |
| 17 | Highly Dispersed Cobalt Nanoparticles Embedded in Nitrogen-Doped Graphitized Carbon for Fast and Durable Potassium Storage显示文摘Potassium-ion batteries(KIBs)have great potential for applications in large-scale energy storage devices.However,the larger radius of K+leads to sluggish kinetics and inferior cycling performance,severely restricting its practical applicability.Herein,we propose a rational strategy involving a Prussian blue analogue-derived graphitized carbon anode with fast and durable potassium storage capability,which is constructed by encapsulating cobalt nanoparticles in nitrogen-doped graphitized carbon(Co-NC).Both experimental and theoretical results show that N-doping effectively promotes the uniform dispersion of cobalt nanoparticles in the carbon matrix through Co-N bonds.Moreover,the cobalt nanoparticles and strong Co-N bonds synergistically form a threedimensional conductive network,increase the number of adsorption sites,and reduce the diffusion energy barrier,thereby facilitating the adsorption and the diffusion kinetics.These multiple effects lead to enhanced reversible capacities of 305 and 208.6 mAh g^−1 after 100 and 300 cycles at 0.05 and 0.1 A g^−1,respectively,demonstrating the applicability of the Co-NC anode for KIBs. | Xiaodong Shi Zhenming Xu Cheng Han Runze Shi Xianwen Wu Bingan Lu Jiang Zhou Shuquan Liang | 2021 | Nano-Micro Letters2021，13，2： | 4 |
| 18 | Impact of industrial virtual power plant on renewable energy integration显示文摘An industrial park is one of the typical en ergy con sumption schemes in power systems owing to the heavy in dustrial loads and their abilities to resp ond to electricity price cha nges.Therefore,en ergy in tegrati on in the industrial sector is significant.Accordingly,the concept of industrial virtual power plant(IVPP)has been proposed to deal with such problems.This study demonstrates an IVPP model to man age resources in an eco-i ndustrial park,including en ergy storage systems,dema nd resp onse(DR)resources,and distributed energies.In addition,fuzzy theory is used to cha nge the deterministic system constraints to fuzzy parameters,considering the uncertainty of renewable energy,and fuzzy chance constraints are then set based on the credibility theory.By maximizi ng the daily ben efits of the IVPP owners in day-ahead markets,DR and energy storage systems can be scheduled economically.Therefore,the energy between the grid and IVPP can flow in both directions:the surplus renewable electricity of IVPP can be sold in the market;when the electricity gen erated in side IVPP is not enough for its use,IVPP can also purchase power through the market.Case studies based on three win d-level scenarios dem on strate the efficie nt syn ergies betwee n IVPP resources.The validatio n results indicate that IVPP can optimize the supply and demand resources in in dustrial parks,thereby decarbonizing the power systems. | Runze Liu Yu Liu Zhaoxia Jing | 2020 | Global Energy Interconnection2020，3，6： | 3 |
| 19 | The Variation of Stone Cell Content in 236 Germplasms of Sand Pear(Pyrus pyrifolia)and Identification of Related Candidate Genes显示文摘Stone cells have been described to substantially influence pear fruit quality,as lignin and cellulose are the main components of stone cells.However,there are limited studies on the relationship between the variation and molecular basis of stone cells,lignin and cellulose content among different pear varieties.Here,to reveal the variation of stone cell content within different cultivated species,we collected 236 germplasms of sand pear(Pyrus pyrifolia)at 50 days after flower blooming(DAFB),the key stage of stone cell formation.In our results,we measured the content of stone cells,lignin and cellulose and found that these contents ranged from2.82%to 29.00%,8.84%to 55.30%and 11.52%to 30.55%,respectively.Further analysis showed that the variation coefficient of stone cell,lignin and cellulose content was 39.10%,28.03%and 16.71%,respectively.Additionally,a significant correlation between stone cell,lignin and cellulose content were detected,and the correlation coefficient between the contents of stone cell and lignin(0.912)was higher than between the contents of stone cell and cellulose(0.796).Moreover,the average lignin content(29.73%)was higher than the average cellulose content(18.03%)in stone cells in pear fruits,indicating that lignin is the main component of stone cell in pears.Finally,on the basic of the transcriptome data,we identified 10 transcription factors belonging to bHLH,ERF,MYB,and NAC transcript families,which might be involved in lignin formation in stone cells.qRT-PCR experiments verified coincident trends between expression of candidate genes and stone cell content.This research laid foundation for future studies on genetic variation of stone cells in pear fruits and provided important gene resources for stone cell regulation. | Jiaying Zhang Jiaming Li Cheng Xue Runze Wang Mingyue Zhang Kaijie Qi Jing Fan Hongju Hu Shaoling Zhang Jun Wu | 2021 | Horticultural Plant Journal2021，7，2： | 3 |
| 20 | Dual-wavelength in-line digital holography with untrained deep neural networks显示文摘Dual-wavelength in-line digital holography(DIDH)is one of the popular methods for quantitative phase imaging of objects with non-contact and high-accuracy features.Two technical challenges in the reconstruction of these objects include suppressing the amplified noise and the twin-image that respectively originate from the phase difference and the phase-conjugated wavefronts.In contrast to the conventional methods,the deep learning network has become a powerful tool for estimating phase information in DIDH with the assistance of noise suppressing or twin-image removing ability.However,most of the current deep learning-based methods rely on supervised learning and training instances,thereby resulting in weakness when it comes to applying this training to practical imaging settings.In this paper,a new DIDH network(DIDH-Net)is proposed,which encapsulates the prior image information and the physical imaging process in an untrained deep neural network.The DIDHNet can effectively suppress the amplified noise and the twin-image of the DIDH simultaneously by automatically adjusting the weights of the network.The obtained results demonstrate that the proposed method with robust phase reconstruction is well suited to improve the imaging performance of DIDH. | CHEN BAI TONG PENG JUNWEI MIN RUNZE LI YUAN ZHOU BAOLI YAO | 2021 | Photonics Research2021，9，12： | 3 |
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