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AVA:An automated and AI-driven intelligent visual analytics framework

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Visual Informatics 2024年第2期8卷 106-114页

作者： Jiazhe Wang Xi Li Chenlu Li Di Peng Arran Zeyu Wang Yuhui Gu Xingui Lai Haifeng Zhang Xinyue Xu Xiaoqing Dong Zhifeng Lin Jiehui Zhou Xingyu Liu Wei Chen Intelligent Big Data Visualization lab at Tongji University ShanghaiChina Ant Group China Alibaba Group China State Key lab of cad&CG Zhejiang UniversityHangzhouChina

With the incredible growth of the scale and complexity of datasets,creating proper visualizations for users becomes more and more challenging in large *** several visualization recommendation systems have been proposed,so far,the lack of practical engineering inputs is still a major concern regarding the usage of visualization recommendations in the *** this paper,we proposed AVA,an open-sourced web-based framework for Automated Visual *** contains both empiric-driven and insight-driven visualization recommendation methods to meet the demands of creating aesthetic visualizations and understanding expressible insights *** code is available at https://***/antvis/AVA.

关键词： Automated visual analytics Visualization recommendation Insight mining

A visual analysis approach for data imputation via multi-party tabular data correlation strategies

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Frontiers of Information Technology & Electronic Engineering 2024年第3期25卷 398-414页

作者： Haiyang ZHU Dongming HAN Jiacheng PAN Yating WEI Yingchaojie FENG Luoxuan WENG Ketian MAO Yuankai XING Jianshu LV Qiucheng WAN Wei CHEN The State Key lab of cad&CG Zhejiang UniversityHangzhou 310058China Wuchan Zhongda Digital Technology Co. Ltd.Hangzhou 310020China Zhejiang Metals and Materials Co. Ltd.Hangzhou 310005China

Data imputation is an essential pre-processing task for data governance,aimed at filling in incomplete ***,conventional data imputation methods can only partly alleviate data incompleteness using isolated tabular data,and they fail to achieve the best balance between accuracy and *** this paper,we present a novel visual analysis approach for data *** develop a multi-party tabular data association strategy that uses intelligent algorithms to identify similar columns and establish column correlations across multiple ***,we perform the initial imputation of incomplete data using correlated data entries from other ***,we develop a visual analysis system to refine data imputation *** interactive system combines the multi-party data imputation approach with expert knowledge,allowing for a better understanding of the relational structure of the *** significantly enhances the accuracy and eficiency of data imputation,thereby enhancing the quality of data governance and the intrinsic value of data *** validation and user surveys demonstrate that this method supports users in verifying and judging the associated columns and similar rows using theirdomain knowledge.

关键词： Data governance Data incompleteness Data imputation Data visualization Interactive visual analysis

Non-bonding modulations between single atomic cerium and monodispersed selenium sites towards efficient oxygen reduction

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Nano Research 2024年第6期17卷 4753-4763页

作者： Leilei Yin Shuai Zhang Mingzi Sun Siyuan Wang Bolong Huang Yaping Du Tianjin Key lab for Rare Earth Materials and Applications Center for Rare Earth and Inorganic Functional MaterialsHaihe Laboratory of Sustainable Chemical TransformationsSmart Sensing Interdisciplinary Science CenterSchool of Materials Science and EngineeringNational Institute for Advanced MaterialsNankai UniversityTianjin 300350China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHung HomKowloon 999077Hong KongChina Research Centre for Carbon-strategic Catalysis The Hong Kong Polytechnic UniversityHung HomKowloon 999077Hong KongChina

Currently,dual atomic catalysts(DACs)with neighboring active sites for oxygen reduction reaction(ORR)still meet lots of challenges in the synthesis,especially the construction of atomic pairs of elements from different blocks of the periodic ***,a“rare earth(Ce)-metalloid(Se)”non-bonding heteronuclear diatomic electrocatalyst has been constructed for ORR by rational coordination and carbon support defect ***,the optimized Ce-Se diatomic catalysts(Ce-Se DAs/NC)displayed a half-wave potential of 0.886 V *** hydrogen electrode(RHE)and excellent stability,which surpass those of separate Ce or Se single atoms and most single/dual atomic catalysts ever *** addition,a primary zinc-air battery constructed using Ce-Se DAs/NC delivers a higher peak power density(209.2 mW·cm^(−2))and specific capacity(786.4 mAh·gZn^(−1))than state-of-the-art noble metal catalysts Pt/*** calculations reveal that the Ce-Se DAs/NC has improved the electroactivity of the Ce-N_(4)region due to the electron transfer towards the nearby Se specific activity(SA)***,the more electron-rich Se sites promote the adsorptions of key intermediates,which results in the optimal performances of ORR on Ce-Se DAs/*** work provides new perspectives on electronic structure modulations via non-bonded long-range coordination micro-environment engineering in DACs for efficient electrocatalysis.

关键词： catalyst rare earth oxygen reduction reaction(ORR) metalloid non-bonding modulation

Empowering smart city situational awareness via big mobile data

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Frontiers of Information Technology & Electronic Engineering 2024年第2期25卷 286-307页

作者： Zhiguang SHAN Lei SHI Bo LI Yanqiang ZHANG Xiatian ZHANG Wei CHEN State Information Center Beijing100045China School of Computer Science and Engineering Beihang UniversityBeijing100191China Zhongguancun laboratory Beijing100094China Beijing Tendcloud Tianxia Technology Co. Ltd.Beijing100027China The State Key lab of cad&CG Zhejiang UniversityHangzhou310027China

Smart city situational awareness has recently emerged as a hot topic in research societies,industries,and governments because of its potential to integrate cutting-edge information technology and solve urgent challenges that modern cities *** example,in the latest five-year plan,the Chinese government has highlighted the demand to empower smart city management with new technologies such as big data and Internet of Things,for which situational awareness is normally the crucial first *** traditional static surveillance data on cities have been available for decades,this review reports a type of relatively new yet highly important urban data source,i.e.,the big mobile data collected by devices with various levels of mobility representing the movement and distribution of public and private agents in the *** especially focus on smart city situational awareness enabled by synthesizing the localization of hundreds of thousands of mobile software Apps using the Global Positioning System(GPS).This technique enjoys advantages such as a large penetration rate(∼50%urban population covered),uniform spatiotemporal coverage,and high localization *** first discuss the pragmatic requirements for smart city situational awareness and the challenges *** we introduce two suites of empowering technologies that help fulfill the requirements of(1)cybersecurity insurance for smart cities and(2)spatiotemporal modeling and visualization for situational awareness,both via big mobile *** main contributions of this review lie in the description of a comprehensive technological framework for smart city situational awareness and the demonstration of its feasibility via real-world applications.

关键词： Smart city Mobile data Situational awareness

Rigidity Constraints for Large Mesh Deformation

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Journal of Computer Science & Technology 2009年第1期24卷 47-55页

作者：赵勇刘新国彭群生鲍虎军 State Key lab of cad & CG Zhejiang University

It is a challenging problem of surface-based deformation to avoid apparent volumetric distortions around largely deformed areas. In this paper, we propose a new rigidity constraint for gradient domain mesh deformation to address this problem. Intuitively the proposed constraint can be regarded as several small cubes defined by the mesh vertices through mean value coordinates. The user interactively specifies the cubes in the regions which are prone to volumetric distortions, and the rigidity constraints could make the mesh behave like a solid object during deformation. The experimental results demonstrate that our constraint is intuitive, easy to use and very effective.

关键词： mesh deformation rigidity constraint mean value coordinates explicit rotation estimation Laplacian energy minimization

A deep learning approach to the classification of 3D cad models

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Journal of Zhejiang University-Science C(Computers and Electronics) 2014年第2期15卷 91-106页

作者： Fei-wei QIN Lu-ye LI Shu-ming GAO Xiao-ling YANG Xiang CHEN State Key lab of cad & CG Zhejiang University

Model classification is essential to the management and reuse of 3D cad *** model classification is laborious and error *** the same time,the automatic classification methods are scarce due to the intrinsic complexity of 3D cad *** this paper,we propose an automatic 3D cad model classification approach based on deep neural *** to prior knowledge of the cad domain,features are selected and extracted from 3D cad models first,and then preprocessed as high dimensional input vectors for category *** analogy with the thinking process of engineers,a deep neural network classifier for 3D cad models is constructed with the aid of deep learning *** obtain an optimal solution,multiple strategies are appropriately chosen and applied in the training phase,which makes our classifier achieve better *** demonstrate the efficiency and effectiveness of our approach through experiments on 3D cad model datasets.

关键词： cad model classification Design reuse Machine learning Neural network

Shadow geometry maps for alias-free shadows

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Science China(Information Sciences) 2013年第6期56卷 191-202页

作者： WANG Rui WU YingQing PAN MingHao CHEN Wei HUA Wei State Key lab of cad & CG Zhejiang University

Shadow maps sample scene visibility in the light source space and offer an efficient solution to generate hard ***,they suffer from aliasing artifacts because of discretization errors,inadequate resolution and projection *** this paper,we propose the shadow geometry map method,where a shadow depth map is augmented by storing geometry information about *** leads to a new shadowrendering algorithm that combines a supersampling filter,a geometry-aware reconstruction kernel and an irregular sampling *** method produces high quality alias-free and subpixel supersampling shadow rendering and retains the simplicity and the efficiency of shadow *** show that the algorithm pipeline is efficiently parallelized using current programmable graphics hardware and that our method is capable of generating high quality hard shadows.

关键词： irregular shadow maps shadow geometry maps pixel and subpixel alias-free shadows

Real-time accurate Free-Form Deformation in terms of triangular Bézier surfaces

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Applied Mathematics(A Journal of Chinese Universities) 2014年第4期29卷 455-467页

作者： CUI Yuan-min FENG Jie-qing State Key lab of cad&CG Zhejiang University

We implemented accurate FFD in terms of triangular Bezier surfaces as matrix multiplications in CUDA and rendered them via OpenGL. Experimental results show that the proposed algorithm is more efficient than the previ... 详细信息

关键词： accurate Free-Form Deformation GPU acceleration CUDA triangular B@zier surface.

Neural compositing for real-time augmented reality rendering in low-frequency lighting environments

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Science China(Information Sciences) 2021年第2期64卷 139-153页

作者： Shengjie MA Qian SHEN Qiming HOU Zhong REN Kun ZHOU State Key lab of cad&CG Zhejiang University ZJU-FaceUnity Joint lab of Intelligent Graphics

We present neural compositing, a deep-learning based method for augmented reality rendering,which uses convolutional neural networks to composite rendered layers of a virtual object with a real photograph to emulate shadow and reflection effects. The method starts from estimating the lighting and roughness information from the photograph using neural networks, renders the virtual object with a virtual floor into color, shadow and reflection layers by applying the estimated lighting, and finally refines the reflection and shadow layers using neural networks and blends them with the color layer and input image to yield the output image. We assume low-frequency lighting environments and adopt PRT(precomputed radiance transfer) for layer rendering, which makes the whole pipeline differentiable and enables fast end-to-end network training with synthetic scenes. Working on a single photograph, our method can produce realistic reflections in a real scene with spatially-varying material and cast shadows on background objects with unknown geometry and material at real-time frame rates.

关键词： augmented reality neural networks differentiable renderer reflection shadow