We propose a flexible joint longitudinal-survival framework to examine the association between longitudinally collected biomarkers and a time-to-event endpoint. More specifically, we use our method for analyzing the s...We propose a flexible joint longitudinal-survival framework to examine the association between longitudinally collected biomarkers and a time-to-event endpoint. More specifically, we use our method for analyzing the survival outcome of end-stage renal disease patients with time-varying serum albumin measurements. Our proposed method is robust to common parametric assumptions in that it avoids explicit specification of the distribution of longitudinal responses and allows for a subject-specific baseline hazard in the survival component. Fully joint estimation is performed to account for uncertainty in the estimated longitudinal biomarkers that are included in the survival model.展开更多
Cryptocurrencies represented by Bitcoin have fully demonstrated their advantages and great potential in payment and monetary systems during the last decade.The mining pool,which is considered the source of Bitcoin,is ...Cryptocurrencies represented by Bitcoin have fully demonstrated their advantages and great potential in payment and monetary systems during the last decade.The mining pool,which is considered the source of Bitcoin,is the cornerstone of market stability.The surveillance of the mining pool can help regulators effectively assess the overall health of Bitcoin and issues.However,the anonymity of mining-pool miners and the difficulty of analyzing large numbers of transactions limit in-depth analysis.It is also a challenge to achieve intuitive and comprehensive monitoring of multi-source heterogeneous data.In this study,we present SuPoolVisor,an interactive visual analytics system that supports surveillance of the mining pool and de-anonymization by visual reasoning.SuPoolVisor is divided into pool level and address level.At the pool level,we use a sorted stream graph to illustrate the evolution of computing power of pools over time,and glyphs are designed in two other views to demonstrate the influence scope of the mining pool and the migration of pool members.At the address level,we use a force-directed graph and a massive sequence view to present the dynamic address network in the mining pool.Particularly,these two views,together with the Radviz view,support an iterative visual reasoning process for de-anonymization of pool members and provide interactions for cross-view analysis and identity marking.Effectiveness and usability of SuPoolVisor are demonstrated using three cases,in which we cooperate closely with experts in this field.展开更多
In many applications of computer graphics,art,and design,it is desirable for a user to provide intuitive non-image input,such as text,sketch,stroke,graph,or layout,and have a computer system automatically generate pho...In many applications of computer graphics,art,and design,it is desirable for a user to provide intuitive non-image input,such as text,sketch,stroke,graph,or layout,and have a computer system automatically generate photo-realistic images according to that input.While classically,works that allow such automatic image content generation have followed a framework of image retrieval and composition,recent advances in deep generative models such as generative adversarial networks(GANs),variational autoencoders(VAEs),and flow-based methods have enabled more powerful and versatile image generation approaches.This paper reviews recent works for image synthesis given intuitive user input,covering advances in input versatility,image generation methodology,benchmark datasets,and evaluation metrics.This motivates new perspectives on input representation and interactivity,cross fertilization between major image generation paradigms,and evaluation and comparison of generation methods.展开更多
This paper presents a spectral approach to compress dynamic animation consisting of a sequence of homeomorphic manifold meshes. Our new approach directly compresses the field of deformation gradient defined on the sur...This paper presents a spectral approach to compress dynamic animation consisting of a sequence of homeomorphic manifold meshes. Our new approach directly compresses the field of deformation gradient defined on the surface mesh, by decomposing it into rigid-body motion （rotation） and non-rigid-body deformation （stretching） through polar decomposition. It is known that the rotation group has the algebraic topology of 3D ring, which is different from other operations like stretching. Thus we compress these two groups separately, by using Manifold Harmonics Transform to drop out their high-frequency details. Our experimental result shows that the proposed method achieves a good balance between tile reconstruction quality and the compression ratio. We compare our results quantitatively with other existing approaches on animation compression, using standard measurement criteria.展开更多
We present AntVis,a web-based visual analytics tool for exploring ant movement data collected from the video recording of ants moving on tree branches.Our goal is to enable domain experts to visually explore massive a...We present AntVis,a web-based visual analytics tool for exploring ant movement data collected from the video recording of ants moving on tree branches.Our goal is to enable domain experts to visually explore massive ant movement data and gain valuable insights via effective visualization,filtering,and comparison.This is achieved through a deep learning framework for automatic detection,segmentation,and labeling of ants,ant movement clustering based on their trace similarity,and the design and development of five coordinated views(the movement,similarity,timeline,statistical,and attribute views)for user interaction and exploration.We demonstrate the effectiveness of AntVis with several case studies developed in close collaboration with domain experts.Finally,we report the expert evaluation conducted by an entomologist and point out future directions of this study.展开更多
X-ray images obtained from synchrotron beamlines are large-scale,high-resolution and high-dynamic-range grayscale data encoding multiple complex properties of the measured materials.They are typically associated with ...X-ray images obtained from synchrotron beamlines are large-scale,high-resolution and high-dynamic-range grayscale data encoding multiple complex properties of the measured materials.They are typically associated with a variety of metadata which increases their inherent complexity.There is a wealth of information embedded in these data but so far scientists lack modem exploration tools to unlock these hidden treasures.To bridge this gap,we propose MultiSciView,a multivariate scientific x-ray image visualization and exploration system for beamline-generated x-ray scattering data.Our system is composed of three complementary and coordinated interactive visualizations to enable a coordinated exploration across the images and their associated attribute and feature spaces.The first visualization features a multi-level scatterplot visualization dedicated for image exploration in attribute,image,and pixel scales.The second visualization is a histogram-based attribute cross filter by which users can extract desired subset patterns from data.The third one is an attribute projection visualization designed for capturing global attribute correlations.We demonstrate our framework by ways of a case study involving a real-world material scattering dataset.We show that our system can efficiently explore large-scale x-ray images,accurately identify preferred image patterns,anomalous images and erroneous experimental settings,and effectively advance the comprehension of material nanostructure properties.展开更多
文摘We propose a flexible joint longitudinal-survival framework to examine the association between longitudinally collected biomarkers and a time-to-event endpoint. More specifically, we use our method for analyzing the survival outcome of end-stage renal disease patients with time-varying serum albumin measurements. Our proposed method is robust to common parametric assumptions in that it avoids explicit specification of the distribution of longitudinal responses and allows for a subject-specific baseline hazard in the survival component. Fully joint estimation is performed to account for uncertainty in the estimated longitudinal biomarkers that are included in the survival model.
基金Project supported by the National Natural Science Foundation of China(Nos.61872389,61502540,61672538,61872388,and 61772556)the Natural Science Foundation of Hunan Province,China(Nos.2015JJ4077,2019JJ40406,and 2017JJ2330)+1 种基金the Changsha Science and Technology Plan Key Project,China(No.kq1801066)the Fundamental Research Funds for the Central Universities of Central South University,China(No.2018zzts065)。
文摘Cryptocurrencies represented by Bitcoin have fully demonstrated their advantages and great potential in payment and monetary systems during the last decade.The mining pool,which is considered the source of Bitcoin,is the cornerstone of market stability.The surveillance of the mining pool can help regulators effectively assess the overall health of Bitcoin and issues.However,the anonymity of mining-pool miners and the difficulty of analyzing large numbers of transactions limit in-depth analysis.It is also a challenge to achieve intuitive and comprehensive monitoring of multi-source heterogeneous data.In this study,we present SuPoolVisor,an interactive visual analytics system that supports surveillance of the mining pool and de-anonymization by visual reasoning.SuPoolVisor is divided into pool level and address level.At the pool level,we use a sorted stream graph to illustrate the evolution of computing power of pools over time,and glyphs are designed in two other views to demonstrate the influence scope of the mining pool and the migration of pool members.At the address level,we use a force-directed graph and a massive sequence view to present the dynamic address network in the mining pool.Particularly,these two views,together with the Radviz view,support an iterative visual reasoning process for de-anonymization of pool members and provide interactions for cross-view analysis and identity marking.Effectiveness and usability of SuPoolVisor are demonstrated using three cases,in which we cooperate closely with experts in this field.
基金supported by the National Natural Science Foundation of China(Project Nos.61521002 and 61772298)。
文摘In many applications of computer graphics,art,and design,it is desirable for a user to provide intuitive non-image input,such as text,sketch,stroke,graph,or layout,and have a computer system automatically generate photo-realistic images according to that input.While classically,works that allow such automatic image content generation have followed a framework of image retrieval and composition,recent advances in deep generative models such as generative adversarial networks(GANs),variational autoencoders(VAEs),and flow-based methods have enabled more powerful and versatile image generation approaches.This paper reviews recent works for image synthesis given intuitive user input,covering advances in input versatility,image generation methodology,benchmark datasets,and evaluation metrics.This motivates new perspectives on input representation and interactivity,cross fertilization between major image generation paradigms,and evaluation and comparison of generation methods.
基金Chao Wang, Xiaohu Guo, and Zichun Zhong are partially supported by the National Science Foundation under Grant Nos. IlS- 1149737 and CNS-1012975.
文摘This paper presents a spectral approach to compress dynamic animation consisting of a sequence of homeomorphic manifold meshes. Our new approach directly compresses the field of deformation gradient defined on the surface mesh, by decomposing it into rigid-body motion （rotation） and non-rigid-body deformation （stretching） through polar decomposition. It is known that the rotation group has the algebraic topology of 3D ring, which is different from other operations like stretching. Thus we compress these two groups separately, by using Manifold Harmonics Transform to drop out their high-frequency details. Our experimental result shows that the proposed method achieves a good balance between tile reconstruction quality and the compression ratio. We compare our results quantitatively with other existing approaches on animation compression, using standard measurement criteria.
基金the US National Science Foundation through grants IIS-1456763,IIS-1455886,CNS-1629914,CCF-1617735,and DUE-1833129the US National Institutes of Health through grant R01 GM116927.T.Hu,S.Zhu,and C.Liang conducted this work as iSURE(International Summer Undergraduate Research Experience)students at the University of Notre Dame during Summer 2017.
文摘We present AntVis,a web-based visual analytics tool for exploring ant movement data collected from the video recording of ants moving on tree branches.Our goal is to enable domain experts to visually explore massive ant movement data and gain valuable insights via effective visualization,filtering,and comparison.This is achieved through a deep learning framework for automatic detection,segmentation,and labeling of ants,ant movement clustering based on their trace similarity,and the design and development of five coordinated views(the movement,similarity,timeline,statistical,and attribute views)for user interaction and exploration.We demonstrate the effectiveness of AntVis with several case studies developed in close collaboration with domain experts.Finally,we report the expert evaluation conducted by an entomologist and point out future directions of this study.
基金This research was supported by two Lab Directed Research and Development projects 16-041 and 17-029 of Brookhaven National Laboratory.
文摘X-ray images obtained from synchrotron beamlines are large-scale,high-resolution and high-dynamic-range grayscale data encoding multiple complex properties of the measured materials.They are typically associated with a variety of metadata which increases their inherent complexity.There is a wealth of information embedded in these data but so far scientists lack modem exploration tools to unlock these hidden treasures.To bridge this gap,we propose MultiSciView,a multivariate scientific x-ray image visualization and exploration system for beamline-generated x-ray scattering data.Our system is composed of three complementary and coordinated interactive visualizations to enable a coordinated exploration across the images and their associated attribute and feature spaces.The first visualization features a multi-level scatterplot visualization dedicated for image exploration in attribute,image,and pixel scales.The second visualization is a histogram-based attribute cross filter by which users can extract desired subset patterns from data.The third one is an attribute projection visualization designed for capturing global attribute correlations.We demonstrate our framework by ways of a case study involving a real-world material scattering dataset.We show that our system can efficiently explore large-scale x-ray images,accurately identify preferred image patterns,anomalous images and erroneous experimental settings,and effectively advance the comprehension of material nanostructure properties.
