Split (1)

train · 6.25k rows

Conference stringclasses 6 values	Year int64 1.99k 2.03k	Title stringlengths 8 187	DOI stringlengths 16 32	Abstract stringlengths 128 7.15k ⌀	Accessible bool 2 classes	Early bool 2 classes	AuthorNames-Deduped listlengths 1 29	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
Vis	2,009	Interactive Visualization of Molecular Surface Dynamics	10.1109/TVCG.2009.157	Molecular dynamics simulations of proteins play a growing role in various fields such as pharmaceutical, biochemical and medical research. Accordingly, the need for high quality visualization of these protein systems raises. Highly interactive visualization techniques are especially needed for the analysis of time-depe...	false	false	[ "Michael Krone", "Katrin Bidmon", "Thomas Ertl" ]	[ "HM" ]	[]	[]
Vis	2,009	Interactive Volume Rendering of Functional Representations in Quantum Chemistry	10.1109/TVCG.2009.158	Simulation and computation in chemistry studies have been improved as computational power has increased over decades. Many types of chemistry simulation results are available, from atomic level bonding to volumetric representations of electron density. However, tools for the visualization of the results from quantum ch...	false	false	[ "Yun Jang", "Ugo Varetto" ]	[]	[]	[]
Vis	2,009	Intrinsic Geometric Scale Space by Shape Diffusion	10.1109/TVCG.2009.159	This paper formalizes a novel, intrinsic geometric scale space (IGSS) of 3D surface shapes. The intrinsic geometry of a surface is diffused by means of the Ricci flow for the generation of a geometric scale space. We rigorously prove that this multiscale shape representation satisfies the axiomatic causality property. ...	false	false	[ "Guangyu Zou", "Jing Hua 0001", "Zhaoqiang Lai", "Xianfeng Gu", "Ming Dong 0001" ]	[]	[]	[]
Vis	2,009	Isosurface Extraction and View-Dependent filtering from Time-Varying fields Using Persistent Time-Octree (PTOT)	10.1109/TVCG.2009.160	We develop a new algorithm for isosurface extraction and view-dependent filtering from large time-varying fields, by using a novel persistent time-octree (PTOT) indexing structure. Previously, the persistent octree (POT) was proposed to perform isosurface extraction and view-dependent filtering, which combines the adva...	false	false	[ "Cong Wang", "Yi-Jen Chiang" ]	[]	[]	[]
Vis	2,009	Kd-Jump: a Path-Preserving Stackless Traversal for Faster Isosurface Raytracing on GPUs	10.1109/TVCG.2009.161	Stackless traversal techniques are often used to circumvent memory bottlenecks by avoiding a stack and replacing return traversal with extra computation. This paper addresses whether the stackless traversal approaches are useful on newer hardware and technology (such as CUDA). To this end, we present a novel stackless ...	false	false	[ "David Meirion Hughes", "Ik Soo Lim" ]	[]	[]	[]
Vis	2,009	Loop surgery for volumetric meshes: Reeb graphs reduced to contour trees	10.1109/TVCG.2009.163	This paper introduces an efficient algorithm for computing the Reeb graph of a scalar function f defined on a volumetric mesh M in Ropf<sup>3</sup>. We introduce a procedure called "loop surgery" that transforms M into a mesh M' by a sequence of cuts and guarantees the Reeb graph of f(M') to be loop free. T...	false	false	[ "Julien Tierny", "Attila Gyulassy", "Eddie Simon", "Valerio Pascucci" ]	[]	[]	[]
Vis	2,009	Mapping High-fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures	10.1109/TVCG.2009.164	Medical volumetric imaging requires high fidelity, high performance rendering algorithms. We motivate and analyze new volumetric rendering algorithms that are suited to modern parallel processing architectures. First, we describe the three major categories of volume rendering algorithms and confirm through an imaging s...	false	false	[ "Mikhail Smelyanskiy", "David R. Holmes 0001", "Jatin Chhugani", "Alan Larson", "Doug Carmean", "Dennis P. Hanson", "Pradeep Dubey", "Kurt Augustine", "Daehyun Kim 0001", "Alan Kyker", "Victor W. Lee", "Anthony D. Nguyen", "Larry Seiler", "Richard A. Robb" ]	[]	[]	[]
Vis	2,009	Markerless View-Independent Registration of Multiple Distorted Projectors on Extruded Surfaces Using an Uncalibrated Camera	10.1109/TVCG.2009.166	In this paper, we present the first algorithm to geometrically register multiple projectors in a view-independent manner (i.e. wallpapered) on a common type of curved surface, vertically extruded surface, using an uncalibrated camera without attaching any obtrusive markers to the display screen. Further, it can also to...	false	false	[ "Behzad Sajadi", "Aditi Majumder" ]	[ "HM" ]	[]	[]
Vis	2,009	Multi-Scale Surface Descriptors	10.1109/TVCG.2009.168	Local shape descriptors compactly characterize regions of a surface, and have been applied to tasks in visualization, shape matching, and analysis. Classically, curvature has be used as a shape descriptor; however, this differential property characterizes only an infinitesimal neighborhood. In this paper, we provide sh...	false	false	[ "Gregory Cipriano", "George N. Phillips Jr.", "Michael Gleicher" ]	[]	[]	[]
Vis	2,009	Multimodal Vessel Visualization of Mouse Aorta PET/CT Scans	10.1109/TVCG.2009.169	In this paper, we present a visualization system for the visual analysis of PET/CT scans of aortic arches of mice. The system has been designed in close collaboration between researchers from the areas of visualization and molecular imaging with the objective to get deeper insights into the structural and molecular pro...	false	false	[ "Timo Ropinski", "Sven Hermann", "Rainer Reich", "Michael Schäfers 0001", "Klaus H. Hinrichs" ]	[]	[]	[]
Vis	2,009	Parameter Sensitivity Visualization for DTI fiber Tracking	10.1109/TVCG.2009.170	Fiber tracking of diffusion tensor imaging (DTI) data offers a unique insight into the three-dimensional organisation of white matter structures in the living brain. However, fiber tracking algorithms require a number of user-defined input parameters that strongly affect the output results. Usually the fiber tracking p...	false	false	[ "Ralph Brecheisen", "Anna Vilanova", "Bram Platel", "Bart M. ter Haar Romeny" ]	[]	[]	[]
Vis	2,009	Perception-Based Transparency Optimization for Direct Volume Rendering	10.1109/TVCG.2009.172	The semi-transparent nature of direct volume rendered images is useful to depict layered structures in a volume. However, obtaining a semi-transparent result with the layers clearly revealed is difficult and may involve tedious adjustment on opacity and other rendering parameters. Furthermore, the visual quality of lay...	false	false	[ "Ming-Yuen Chan", "Yingcai Wu", "Wai-Ho Mak", "Wei Chen 0001", "Huamin Qu" ]	[ "HM" ]	[]	[]
Vis	2,009	Predictor-Corrector Schemes for Visualization ofSmoothed Particle Hydrodynamics Data	10.1109/TVCG.2009.173	In this paper we present a method for vortex core line extraction which operates directly on the smoothed particle hydrodynamics (SPH) representation and, by this, generates smoother and more (spatially and temporally) coherent results in an efficient way. The underlying predictor-corrector scheme is general enough to ...	false	false	[ "Benjamin Schindler", "Raphael Fuchs", "John Biddiscombe", "Ronald Peikert" ]	[]	[]	[]
Vis	2,009	Quantitative Texton Sequences for Legible Bivariate Maps	10.1109/TVCG.2009.175	Representing bivariate scalar maps is a common but difficult visualization problem. One solution has been to use two dimensional color schemes, but the results are often hard to interpret and inaccurately read. An alternative is to use a color sequence for one variable and a texture sequence for another. This has been ...	false	false	[ "Colin Ware" ]	[]	[]	[]
Vis	2,009	Sampling and Visualizing Creases with Scale-Space Particles	10.1109/TVCG.2009.177	Particle systems have gained importance as a methodology for sampling implicit surfaces and segmented objects to improve mesh generation and shape analysis. We propose that particle systems have a significantly more general role in sampling structure from unsegmented data. We describe a particle system that computes sa...	false	false	[ "Gordon L. Kindlmann", "Raúl San José Estépar", "Stephen M. Smith 0001", "Carl-Fredrik Westin" ]	[]	[]	[]
Vis	2,009	Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets	10.1109/TVCG.2009.178	Recent advances in scanning technology provide high resolution EM (electron microscopy) datasets that allow neuro-scientists to reconstruct complex neural connections in a nervous system. However, due to the enormous size and complexity of the resulting data, segmentation and visualization of neural processes in EM dat...	false	false	[ "Won-Ki Jeong", "Johanna Beyer", "Markus Hadwiger", "Amelio Vázquez Reina", "Hanspeter Pfister", "Ross T. Whitaker" ]	[]	[]	[]
Vis	2,009	Stress Tensor field Visualization for Implant Planning in Orthopedics	10.1109/TVCG.2009.184	We demonstrate the application of advanced 3D visualization techniques to determine the optimal implant design and position in hip joint replacement planning. Our methods take as input the physiological stress distribution inside a patient's bone under load and the stress distribution inside this bone under the same lo...	false	false	[ "Christian Dick", "Joachim Georgii", "Rainer Burgkart", "Rüdiger Westermann" ]	[]	[]	[]
Vis	2,009	Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation	10.1109/TVCG.2009.185	The use of multi-dimensional transfer functions for direct volume rendering has been shown to be an effective means of extracting materials and their boundaries for both scalar and multivariate data. The most common multi-dimensional transfer function consists of a two-dimensional (2D) histogram with axes representing ...	false	false	[ "Ross Maciejewski", "Insoo Woo", "Wei Chen 0001", "David S. Ebert" ]	[]	[]	[]
Vis	2,009	Supercubes: A High-Level Primitive for Diamond Hierarchies	10.1109/TVCG.2009.186	Volumetric datasets are often modeled using a multiresolution approach based on a nested decomposition of the domain into a polyhedral mesh. Nested tetrahedral meshes generated through the longest edge bisection rule are commonly used to decompose regular volumetric datasets since they produce highly adaptive crack-fre...	false	false	[ "Kenneth Weiss 0001", "Leila De Floriani" ]	[]	[]	[]
Vis	2,009	The Occlusion Spectrum for Volume Classification and Visualization	10.1109/TVCG.2009.189	Despite the ever-growing improvements on graphics processing units and computational power, classifying 3D volume data remains a challenge.In this paper, we present a new method for classifying volume data based on the ambient occlusion of voxels. This information stems from the observation that most volumes of a certa...	false	false	[ "Carlos D. Correa", "Kwan-Liu Ma" ]	[]	[]	[]
Vis	2,009	Time and Streak Surfaces for Flow Visualization in Large Time-Varying Data Sets	10.1109/TVCG.2009.190	Time and streak surfaces are ideal tools to illustrate time-varying vector fields since they directly appeal to the intuition about coherently moving particles. However, efficient generation of high-quality time and streak surfaces for complex, large and time-varying vector field data has been elusive due to the comput...	false	false	[ "Harinarayan Krishnan", "Christoph Garth", "Kenneth I. Joy" ]	[]	[]	[]
Vis	2,009	Verifiable Visualization for Isosurface Extraction	10.1109/TVCG.2009.194	Visual representations of isosurfaces are ubiquitous in the scientific and engineering literature. In this paper, we present techniques to assess the behavior of isosurface extraction codes. Where applicable, these techniques allow us to distinguish whether anomalies in isosurface features can be attributed to the unde...	false	false	[ "Tiago Etiene", "Carlos Scheidegger", "Luis Gustavo Nonato", "Robert M. Kirby", "Cláudio T. Silva" ]	[]	[]	[]
Vis	2,009	VisMashup: Streamlining the Creation of Custom Visualization Applications	10.1109/TVCG.2009.195	Visualization is essential for understanding the increasing volumes of digital data. However, the process required to create insightful visualizations is involved and time consuming. Although several visualization tools are available, including tools with sophisticated visual interfaces, they are out of reach for users...	false	false	[ "Emanuele Santos", "Lauro Didier Lins", "James P. Ahrens", "Juliana Freire", "Cláudio T. Silva" ]	[]	[]	[]
Vis	2,009	Visual Exploration of Climate Variability Changes Using Wavelet Analysis	10.1109/TVCG.2009.197	Due to its nonlinear nature, the climate system shows quite high natural variability on different time scales, including multiyear oscillations such as the El Nino southern oscillation phenomenon. Beside a shift of the mean states and of extreme values of climate variables, climate change may also change the frequency ...	false	false	[ "Heike Leitte", "Michael Böttinger", "Uwe Mikolajewicz", "Gerik Scheuermann" ]	[]	[]	[]
Vis	2,009	Visual Exploration of Nasal Airflow	10.1109/TVCG.2009.198	Rhinologists are often faced with the challenge of assessing nasal breathing from a functional point of view to derive effective therapeutic interventions. While the complex nasal anatomy can be revealed by visual inspection and medical imaging, only vague information is available regarding the nasal airflow itself: Rh...	false	false	[ "Stefan Zachow", "Philipp Muigg", "Thomas Hildebrandt", "Helmut Doleisch", "Hans-Christian Hege" ]	[]	[]	[]
Vis	2,009	Visual Human+Machine Learning	10.1109/TVCG.2009.199	In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combines the vast search and processing power of the computer with the superior reasoning and pattern recognition capabilities of the human user. A...	false	false	[ "Raphael Fuchs", "Jürgen Waser", "M. Eduard Gröller" ]	[]	[]	[]
Vis	2,009	Visualization and Exploration of Temporal Trend Relationships in Multivariate Time-Varying Data	10.1109/TVCG.2009.200	We present a new algorithm to explore and visualize multivariate time-varying data sets. We identify important trend relationships among the variables based on how the values of the variables change over time and how those changes are related to each other in different spatial regions and time intervals. The trend rela...	false	false	[ "Teng-Yok Lee", "Han-Wei Shen" ]	[]	[]	[]
Vis	2,009	Volume Illustration of Muscle from Diffusion Tensor Images	10.1109/TVCG.2009.203	Medical illustration has demonstrated its effectiveness to depict salient anatomical features while hiding the irrelevant details. Current solutions are ineffective for visualizing fibrous structures such as muscle, because typical datasets (CT or MRI) do not contain directional details. In this paper, we introduce a n...	false	false	[ "Wei Chen 0001", "Zhicheng Yan", "Song Zhang 0004", "John Allen Crow", "David S. Ebert", "Ronald M. McLaughlin", "Katie B. Mullins", "Robert Cooper", "Zi'ang Ding", "Jun Liao" ]	[]	[]	[]
Vis	2,009	Volume Ray Casting with Peak finding and Differential Sampling	10.1109/TVCG.2009.204	Direct volume rendering and isosurfacing are ubiquitous rendering techniques in scientific visualization, commonly employed in imaging 3D data from simulation and scan sources. Conventionally, these methods have been treated as separate modalities, necessitating different sampling strategies and rendering algorithms. I...	false	false	[ "Aaron Knoll", "Younis Hijazi", "Rolf Westerteiger", "Mathias Schott", "Charles D. Hansen", "Hans Hagen" ]	[]	[]	[]
VAST	2,009	A framework for uncertainty-aware visual analytics	10.1109/VAST.2009.5332611	Visual analytics has become an important tool for gaining insight on large and complex collections of data. Numerous statistical tools and data transformations, such as projections, binning and clustering, have been coupled with visualization to help analysts understand data better and faster. However, data is inherent...	false	false	[ "Carlos D. Correa", "Yu-Hsuan Chan", "Kwan-Liu Ma" ]	[]	[]	[]
VAST	2,009	A multi-level middle-out cross-zooming approach for large graph analytics	10.1109/VAST.2009.5333880	This paper presents a working graph analytics model that embraces the strengths of the traditional top-down and bottom-up approaches with a resilient crossover concept to exploit the vast middle-ground information overlooked by the two extreme analytical approaches. Our graph analytics model is co-developed by users an...	false	false	[ "Pak Chung Wong", "Patrick Mackey", "Kristin A. Cook", "Randall M. Rohrer", "Harlan Foote", "Mark A. Whiting" ]	[]	[]	[]
VAST	2,009	A scalable architecture for visual data exploration	10.1109/VAST.2009.5333451	Intelligence analysts in the areas of defense and homeland security are now faced with the difficult problem of discerning the relevant details amidst massive data stores. We propose a component-based visualization architecture that is built specifically to encourage the flexible exploration of geospatial event databas...	false	false	[ "Jonathan W. Decker", "Alex Godwin", "Mark A. Livingston", "Denise Royle" ]	[]	[]	[]
VAST	2,009	A visual analytics system for radio frequency fingerprinting-based localization	10.1109/VAST.2009.5332596	Radio frequency (RF) fingerprinting-based techniques for localization are a promising approach for ubiquitous positioning systems, particularly indoors. By finding unique fingerprints of RF signals received at different locations within a predefined area beforehand, whenever a similar fingerprint is subsequently seen a...	false	false	[ "Yi Han 0005", "Erich P. Stuntebeck", "John T. Stasko", "Gregory D. Abowd" ]	[]	[]	[]
VAST	2,009	Analysis of community-contributed space- and time-referenced data (example of flickr and panoramio photos)	10.1109/VAST.2009.5333472	Space- and time-referenced data published on the Web by general people can be viewed in a dual way: as independent spatio-temporal events and as trajectories of people in the geographical space. These two views suppose different approaches to the analysis, which can yield different kinds of valuable knowledge about pla...	false	false	[ "Gennady L. Andrienko", "Natalia V. Andrienko", "Peter Bak", "Slava Kisilevich", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,009	Articulate: a conversational interface for visual analytics	10.1109/VAST.2009.5333099	While many visualization tools exist that offer sophisticated functions for charting complex data, they still expect users to possess a high degree of expertise in wielding the tools to create an effective visualization. This poster presents Articulate, an attempt at a semi-automated visual analytic model that is guide...	false	false	[ "Yiwen Sun", "Jason Leigh", "Andrew E. Johnson 0001", "Dennis Chau" ]	[]	[]	[]
VAST	2,009	BEADS: High dimensional data cluster visualization	10.1109/VAST.2009.5333417	In this poster paper, we present BEADS, a high dimensional data cluster visualization by having a 2-D representation of shape and spread of the cluster. The Cluster Division component, the Bead Shape Identification and Cluster Shape Composition form the core of the system. BEADS visualization consists of a 2-D plot, st...	false	false	[ "Soujanya Vadapalli", "Kamalakar Karlapalem" ]	[]	[]	[]
VAST	2,009	Capturing and supporting the analysis process	10.1109/VAST.2009.5333020	Visual analytics tools provide powerful visual representations in order to support the sense-making process. In this process, analysts typically iterate through sequences of steps many times, varying parameters each time. Few visual analytics tools support this process well, nor do they provide support for visualizing ...	false	false	[ "Nazanin Kadivar", "Victor Y. Chen", "Dustin T. Dunsmuir", "Eric Lee", "Cheryl Z. Qian", "John Dill", "Chris Shaw 0002", "Robert F. Woodbury" ]	[]	[]	[]
VAST	2,009	Combining automated analysis and visualization techniques for effective exploration of high-dimensional data	10.1109/VAST.2009.5332628	Visual exploration of multivariate data typically requires projection onto lower-dimensional representations. The number of possible representations grows rapidly with the number of dimensions, and manual exploration quickly becomes ineffective or even unfeasible. This paper proposes automatic analysis methods to extra...	false	false	[ "Andrada Tatu", "Georgia Albuquerque", "Martin Eisemann", "Jörn Schneidewind", "Holger Theisel", "Marcus A. Magnor", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,009	Combining iterative analytical reasoning and software development using the visualization language Processing	10.1109/VAST.2009.5334463	Processing is a very powerful visualization language which combines software concepts with principles of visual form and interaction. Artists, designers and architects use it but it is also a very effective programming language in the area of visual analytics. In the following contribution Processing is utilized in ord...	false	false	[ "Claudia Müller-Birn", "Lukas Birn" ]	[]	[]	[]
VAST	2,009	Comparing two interface tools in performing visual analytics tasks	10.1109/VAST.2009.5333469	In visual analytics, menu systems are commonly adopted as supporting tools because of the complex nature of data. However, it is still unknown how much the interaction implicit to the interface impacts the performance of visual analysis. To show the effectiveness of two interface tools, one a floating text-based menu (...	false	false	[ "Dong Hyun Jeong", "Tera Marie Green", "William Ribarsky", "Remco Chang" ]	[]	[]	[]
VAST	2,009	Connecting the dots in visual analysis	10.1109/VAST.2009.5333023	During visual analysis, users must often connect insights discovered at various points of time. This process is often called ldquoconnecting the dots.rdquo When analysts interactively explore complex datasets over multiple sessions, they may uncover a large number of findings. As a result, it is often difficult for the...	false	false	[ "Yedendra Babu Shrinivasan", "David Gotz", "Jie Lu" ]	[]	[]	[]
VAST	2,009	Describing story evolution from dynamic information streams	10.1109/VAST.2009.5333437	Sources of streaming information, such as news syndicates, publish information continuously. Information portals and news aggregators list the latest information from around the world enabling information consumers to easily identify events in the past 24 hours. The volume and velocity of these streams causes informati...	false	false	[ "Stuart J. Rose", "Scott Butner", "Wendy Cowley", "Michelle L. Gregory", "Julia Walker" ]	[]	[]	[]
VAST	2,009	Detecting and analyzing relationships among anomalies	10.1109/VAST.2009.5334426	The HRL anomaly analysis tool was developed as part of the IEEE VAST Challenge 2009. One of the tasks involved processing badge and network traffic in order to detect and identify a fictitious embassy employee suspected of leaking information. The tool is designed to assist an analyst in detecting, analyzing, and visua...	false	false	[ "David Allen", "Tsai-Ching Lu", "David J. Huber" ]	[]	[]	[]
VAST	2,009	EAKOS: VAST 2009	10.1109/VAST.2009.5333967	In this article, I describe the tools and techniques used to generate competing hypotheses for the VAST 2009 Flitter mini challenge. I will describe how I approached solving the social networks and the importance of the geospatial relationships to determine that ldquoSocial Structure Form Ardquo was the best matching s...	false	false	[ "Lorne Leonard" ]	[]	[]	[]
VAST	2,009	Evaluating visual analytics systems for investigative analysis: Deriving design principles from a case study	10.1109/VAST.2009.5333878	Despite the growing number of systems providing visual analytic support for investigative analysis, few empirical studies of the potential benefits of such systems have been conducted, particularly controlled, comparative evaluations. Determining how such systems foster insight and sensemaking is important for their co...	false	false	[ "Youn ah Kang", "Carsten Görg", "John T. Stasko" ]	[]	[]	[]
VAST	2,009	Finding comparable temporal categorical records: A similarity measure with an interactive visualization	10.1109/VAST.2009.5332595	An increasing number of temporal categorical databases are being collected: Electronic Health Records in healthcare organizations, traffic incident logs in transportation systems, or student records in universities. Finding similar records within these large databases requires effective similarity measures that capture...	false	false	[ "Krist Wongsuphasawat", "Ben Shneiderman" ]	[]	[]	[]
VAST	2,009	finVis: Applied visual analytics for personal financial planning	10.1109/VAST.2009.5333920	FinVis is a visual analytics tool that allows the non-expert casual user to interpret the return, risk and correlation aspects of financial data and make personal finance decisions. This interactive exploratory tool helps the casual decision-maker quickly choose between various financial portfolio options and view poss...	false	false	[ "Stephen Rudolph", "Anya Samak", "David S. Ebert" ]	[]	[]	[]
VAST	2,009	Geovisual analytics for self-organizing network data	10.1109/VAST.2009.5332610	Cellular radio networks are continually growing in both node count and complexity. It therefore becomes more difficult to manage the networks and necessary to use time and cost effective automatic algorithms to organize the networks neighbor cell relations. There have been a number of attempts to develop such automatic...	false	false	[ "Ho Van Quan", "Tobias Åström", "Mikael Jern" ]	[]	[]	[]
VAST	2,009	Guided analysis of hurricane trends using statistical processes integrated with interactive parallel coordinates	10.1109/VAST.2009.5332586	This paper demonstrates the promise of augmenting interactive multivariate representations with information from statistical processes in the domain of weather data analysis. Statistical regression, correlation analysis, and descriptive statistical calculations are integrated via graphical indicators into an enhanced p...	false	false	[ "Chad A. Steed", "J. Edward Swan II", "T. J. Jankun-Kelly", "Patrick J. Fitzpatrick" ]	[]	[]	[]
VAST	2,009	Innovative filtering techniques and customized analytics tools	10.1109/VAST.2009.5334300	The VAST 2009 Challenge consisted of three heterogeneous synthetic data sets organized into separate mini-challenges with minimal correspondence information. The challenge task was the identification of a suspected data theft from cyber and real-world traces. The grand challenge required integrating the findings from t...	false	false	[ "Harald Bosch", "Julian Heinrich", "Christoph Müller 0001", "Benjamin Höferlin", "Guido Reina", "Markus Höferlin", "Michael Wörner 0001", "Steffen Koch 0001" ]	[]	[]	[]
VAST	2,009	Integrative visual analytics for suspicious behavior detection	10.1109/VAST.2009.5334430	In the VAST Challenge 2009 suspicious behavior had to be detected applying visual analytics to heterogeneous data, such as network traffic, social network enriched with geo-spatial attributes, and finally video surveillance data. This paper describes some of the awarded parts from our solution entry.	false	false	[ "Peter Bak", "Christian Rohrdantz", "Svenja Leifert", "Christoph Granacher", "Stefan Koch", "Simon Butscher", "Patrick Jungk", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,009	Interactive poster: A proposal for sharing user requirements for visual analytic tools	10.1109/VAST.2009.5333474	Although many in the community have advocated user-centered evaluations for visual analytic environments, a significant barrier exists. The users targeted by the visual analytics community (law enforcement personnel, professional information analysts, financial analysts, health care analysts, etc.) are often inaccessib...	false	false	[ "Jean Scholtz" ]	[]	[]	[]
VAST	2,009	Interactive poster: Interactive multiobjective optimization - a new application area for visual analytics	10.1109/VAST.2009.5333081	The poster introduces interactive multiobjective optimization (IMO) as a field offering new application possibilities and challenges for visual analytics (VA), and aims at inspiring collaboration between the two fields. Our aim is to collect new ideas in order to be able to utilize VA techniques more effectively in our...	false	false	[ "Suvi Tarkkanen", "Kaisa Miettinen", "Jussi Hakanen" ]	[]	[]	[]
VAST	2,009	Interactive visual analysis of location reporting patterns	10.1109/VAST.2009.5333453	Interactive visualization methods are often used to aid in the analysis of large datasets. We present a novel interactive visualization technique designed specifically for the analysis of location reporting patterns within large time-series datasets. We use a set of triangles with color coding to indicate the time betw...	false	false	[ "Derek Overby", "John Keyser", "Jim Wall" ]	[]	[]	[]
VAST	2,009	Interactive visual clustering of large collections of trajectories	10.1109/VAST.2009.5332584	One of the most common operations in exploration and analysis of various kinds of data is clustering, i.e. discovery and interpretation of groups of objects having similar properties and/or behaviors. In clustering, objects are often treated as points in multi-dimensional space of properties. However, structurally comp...	false	false	[ "Gennady L. Andrienko", "Natalia V. Andrienko", "Salvatore Rinzivillo", "Mirco Nanni", "Dino Pedreschi", "Fosca Giannotti" ]	[]	[]	[]
VAST	2,009	Iterative integration of visual insights during patent search and analysis	10.1109/VAST.2009.5333564	Patents are an important economic factor in todays globalized markets. Therefore, the analysis of patent information has become an inevitable task for a variety of interest groups. The retrieval of relevant patent information is an integral part of almost every patent analysis scenario. Unfortunately, the complexity of...	false	false	[ "Steffen Koch 0001", "Harald Bosch", "Mark Giereth", "Thomas Ertl" ]	[ "BP" ]	[]	[]
VAST	2,009	LSAView: A tool for visual exploration of latent semantic modeling	10.1109/VAST.2009.5333428	Latent Semantic Analysis (LSA) is a commonly-used method for automated processing, modeling, and analysis of unstructured text data. One of the biggest challenges in using LSA is determining the appropriate model parameters to use for different data domains and types of analyses. Although automated methods have been de...	false	false	[ "Patricia Crossno", "Daniel M. Dunlavy", "Timothy M. Shead" ]	[]	[]	[]
VAST	2,009	MassVis: Visual analysis of protein complexes using mass spectrometry	10.1109/VAST.2009.5333895	Protein complexes are formed when two or more proteins non-covalently interact to form a larger three dimensional structure with specific biological function. Understanding the composition of such complexes is vital to understanding cell biology at the molecular level. MassVis is a visual analysis tool designed to assi...	false	false	[ "Robert Kincaid", "Kurt Dejgaard" ]	[]	[]	[]
VAST	2,009	Merging visual analysis with automated reasoning: Using Prajna to solve the traffic challenge	10.1109/VAST.2009.5332481	The Internet traffic challenge required the development of a custom application to analyze internet traffic patterns coupled with building access records. To solve this challenge, the author applied the Prajna Project, an open-source Java toolkit designed to provide various capabilities for visualization, knowledge rep...	false	false	[ "Edward Swing" ]	[]	[]	[]
VAST	2,009	Model space visualization for multivariate linear trend discovery	10.1109/VAST.2009.5333431	Discovering and extracting linear trends and correlations in datasets is very important for analysts to understand multivariate phenomena. However, current widely used multivariate visualization techniques, such as parallel coordinates and scatterplot matrices, fail to reveal and illustrate such linear relationships in...	false	false	[ "Zhenyu Guo", "Matthew O. Ward", "Elke A. Rundensteiner" ]	[]	[]	[]
VAST	2,009	Multiple step social structure analysis with Cytoscape	10.1109/VAST.2009.5333961	Cytoscape is a popular open source tool for biologists to visualize interaction networks. We find that it offers most of the desired functionality for visual analytics on graph data to guide us in the identification of the underlying social structure. We demonstrate its utility in the identification of the social struc...	false	false	[ "Hao Zhou", "Anna A. Shaverdian", "H. V. Jagadish", "George Michailidis" ]	[]	[]	[]
VAST	2,009	Palantir: A visualization platform for real-world analysis	10.1109/VAST.2009.5334462	Palantir is an analytic platform currently used worldwide by both governmental and financial analysts. This paper provides a brief overview of the platform, examines our 2009 IEEE VAST Challenge submission, and highlights several key analytic and visualization features we used in our analysis.	false	false	[ "Brandon Wright", "Jason Payne", "Matthew Steckman", "Scott Stevson" ]	[]	[]	[]
VAST	2,009	Parallel Tag Clouds to explore and analyze faceted text corpora	10.1109/VAST.2009.5333443	Do court cases differ from place to place? What kind of picture do we get by looking at a country's collection of law cases? We introduce parallel tag clouds: a new way to visualize differences amongst facets of very large metadata-rich text corpora. We have pointed parallel tag clouds at a collection of over 600,000 U...	false	false	[ "Christopher Collins 0001", "Fernanda B. Viégas", "Martin Wattenberg" ]	[ "TT" ]	[]	[]
VAST	2,009	Poster: Icexplorer: Studying Great Lakes Ice cover	10.1109/VAST.2009.5333082	IceXplorer is a tool for analyzing variations in ice cover on Lake Erie. It enhances the data and pre-packaged analysis currently available in the great lakes ice atlas and serves as an example of a small, focused application where simple but carefully-chosen visualizations, interaction techniques, and automated data a...	false	false	[ "Stina S. Bridgeman" ]	[]	[]	[]
VAST	2,009	Poster: Visual prediction of time series	10.1109/VAST.2009.5333420	Many well-known time series prediction methods have been used daily by analysts making decisions. To reach a good prediction, we introduce several new visual analysis techniques of smoothing, multi-scaling, and weighted average with the involvement of human expert knowledge. We combine them into a well-fitted method to...	false	false	[ "Ming C. Hao", "Halldór Janetzko", "Ratnesh K. Sharma", "Umeshwar Dayal", "Daniel A. Keim", "Malú Castellanos" ]	[]	[]	[]
VAST	2,009	ProcessLine: Visualizing time-series data in process industry	10.1109/VAST.2009.5333421	In modern process industry, it is often difficult to analyze a manufacture process due to its numerous time-series data. Analysts wish to not only interpret the evolution of data over time in a working procedure, but also examine the changes in the whole production process through time. To meet such analytic requiremen...	false	false	[ "XiongFei Luo", "Hongan Wang", "Feng Tian 0001", "Wei Liu 0023", "Dongxing Teng", "Guozhong Dai" ]	[]	[]	[]
VAST	2,009	Professional analysts using a large, high-resolution display	10.1109/VAST.2009.5332485	Professional cyber analysts were observed as they attempted to solve the VAST 2009 Traffic Mini Challenge using basic visualization tools and a large, high-resolution display. We discuss some of the lessons we learned about how analysts actually work and potential roles for visualization and large, high-resolution disp...	false	false	[ "Alex Endert", "Christopher Andrews", "Glenn A. Fink", "Chris North 0001" ]	[]	[]	[]
VAST	2,009	Proximity-based visualization of movement trace data	10.1109/VAST.2009.5332593	The increasing availability of motion sensors and video cameras in living spaces has made possible the analysis of motion patterns and collective behavior in a number of situations. The visualization of this movement data, however, remains a challenge. Although maintaining the actual layout of the data space is often d...	false	false	[ "Tarik Crnovrsanin", "Chris Muelder", "Carlos D. Correa", "Kwan-Liu Ma" ]	[]	[]	[]
VAST	2,009	Reordered tilebars for visual text exploration	10.1109/VAST.2009.5333436	The classic TileBars paradigm has been used to show distribution information of query terms in full-text documents. However, when the number of query terms becomes large, it is not an easy task for users to comprehend their distribution within certain parts of a document. In this paper, we present a novel approach to i...	false	false	[ "VinhTuan Thai", "Siegfried Handschuh" ]	[]	[]	[]
VAST	2,009	Solving the traffic and flitter challenges with tulip	10.1109/VAST.2009.5334456	We present our visualization systems and findings for the badge and network traffic as well as the social network and geospatial challenges of the 2009 VAST contest. The summary starts by presenting an overview of our time series encoding of badge information and network traffic. Our findings suggest that employee 30 m...	false	false	[ "Paolo Simonetto", "Pierre-Yves Koenig", "Faraz Zaidi", "Daniel Archambault", "Frédéric Gilbert 0001", "Trung-Tien Phan-Quang", "Morgan Mathiaut", "Antoine Lambert", "Jonathan Dubois", "Ronan Sicre", "Mathieu Brulin", "Rémy Vieux", "Guy Melançon" ]	[]	[]	[]
VAST	2,009	SpRay: A visual analytics approach for gene expression data	10.1109/VAST.2009.5333911	We present a new application, SpRay, designed for the visual exploration of gene expression data. It is based on an extension and adaption of parallel coordinates to support the visual exploration of large and high-dimensional datasets. In particular, we investigate the visual analysis of gene expression data as genera...	false	false	[ "Janko Dietzsch", "Julian Heinrich", "Kay Nieselt", "Dirk Bartz" ]	[]	[]	[]
VAST	2,009	Timeline analysis of undercover activities VAST 2009 traffic mini challenge award: Good analytical technique	10.1109/VAST.2009.5334460	Our visualization tool for the VAST 2009 traffic mini challenge, Timeliner, visualizes badge and network traffic data together in a single timeline. The two views of per-employee and per-day with various filtering interactions enable users to analyze easily employees activities at a particular moment of interest as wel...	false	false	[ "Jaegul Choo", "Emily Fujimoto", "Hanseung Lee", "Pedro R. Walteros" ]	[]	[]	[]
VAST	2,009	Two-stage framework for visualization of clustered high dimensional data	10.1109/VAST.2009.5332629	In this paper, we discuss dimension reduction methods for 2D visualization of high dimensional clustered data. We propose a two-stage framework for visualizing such data based on dimension reduction methods. In the first stage, we obtain the reduced dimensional data by applying a supervised dimension reduction method s...	false	false	[ "Jaegul Choo", "Shawn Bohn", "Haesun Park" ]	[]	[]	[]
VAST	2,009	Using projection and 2D plots to visually reveal genetic mechanisms of complex human disorders	10.1109/VAST.2009.5333917	Gene mapping is a statistical method used to localize human disease genes to particular regions of the human genome. When performing such analysis, a genetic likelihood space is generated and sampled, which results in a multidimensional scalar field. Researchers are interested in exploring this likelihood space through...	false	false	[ "Boonthanome Nouanesengsy", "Sang-Cheol Seok", "Han-Wei Shen", "Veronica J. Vieland" ]	[]	[]	[]
VAST	2,009	VAST 2009 challenge: An insider threat	10.1109/VAST.2009.5334454	The 4<sup>th</sup> VAST Challenge centered on a cyber analytics scenario and offered three mini-challenges with datasets of badge and network traffic data, a social network including geospatial information, and security video. Teams could also enter the Grand challenge which combined all three datasets. In ...	false	false	[ "Georges G. Grinstein", "Jean Scholtz", "Mark A. Whiting", "Catherine Plaisant" ]	[]	[]	[]
VAST	2,009	VAST 2009 Traffic Mini Challenge: Intuitive analytic information presentation	10.1109/VAST.2009.5334301	As a solution to the VAST 2009 Traffic Mini Visualization Challenge, we built the Badge and Network Traffic (BNT) tool to create animations of the events taking place in the embassy. Using the embassy layout, the prox-card and web-access entries and their time-stamps, we animated color-based flagging of events. The BNT...	false	false	[ "Shraddha Agrawal", "Kollukuduru Sravanthi", "Soujanya Vadapalli", "Kamalakar Karlapalem" ]	[]	[]	[]
VAST	2,009	VAST contest dataset use in education	10.1109/VAST.2009.5333245	The IEEE Visual Analytics Science and Technology (VAST) Symposium has held a contest each year since its inception in 2006. These events are designed to provide visual analytics researchers and developers with analytic challenges similar to those encountered by professional information analysts. The VAST contest has ha...	false	false	[ "Mark A. Whiting", "Chris North 0001", "Alex Endert", "Jean Scholtz", "Jereme Haack", "Carrie Varley", "James J. Thomas" ]	[]	[]	[]
VAST	2,009	VIDI surveillance - embassy monitoring and oversight system	10.1109/VAST.2009.5333950	We hypothesized that potential spies would try to use other employees' terminals in order to not draw attention to themselves. We define one type of suspicious activity as IP use on a terminal when the owner is inside the classified area. We created a timeline visualization of IP usage, overlaid with classified area en...	false	false	[ "Chad Jones", "Michael Ogawa", "James Shearer", "Anna Tikhonova", "Kwan-Liu Ma" ]	[]	[]	[]
VAST	2,009	VIScover: Visualizing, exploring, and analysing structured data	10.1109/VAST.2009.5333946	Today's challenging task in intelligent data processing is not to store large volumes of interlinked data but to visualize, explore, and understand its explicit or implicit relationships. Our solution to this is the VIScover system. VIScover combines semantic technologies with interactive exploration and visualization ...	false	false	[ "Thorsten Liebig", "Olaf Noppens", "Friedrich W. von Henke" ]	[]	[]	[]
VAST	2,009	Visual analysis of graphs with multiple connected components	10.1109/VAST.2009.5333893	In this paper, we present a system for the interactive visualization and exploration of graphs with many weakly connected components. The visualization of large graphs has recently received much research attention. However, specific systems for visual analysis of graph data sets consisting of many components are rare. ...	false	false	[ "Tatiana von Landesberger", "Melanie Görner", "Tobias Schreck" ]	[]	[]	[]
VAST	2,009	Visual knowledge exploration and discovery from different points of view	10.1109/VAST.2009.5333438	Complex scenario analysis requires the exploration of multiple hypotheses and supporting evidence for each argument posed. Knowledge-intensive organisations typically analyse large amounts of inter-related, heterogeneous data to retrieve the knowledge this contains and use it to support effective decision-making. We de...	false	false	[ "Aba-Sah Dadzie", "Daniela Petrelli" ]	[]	[]	[]
VAST	2,009	Visual opinion analysis of customer feedback data	10.1109/VAST.2009.5333919	Today, online stores collect a lot of customer feedback in the form of surveys, reviews, and comments. This feedback is categorized and in some cases responded to, but in general it is underutilized - even though customer satisfaction is essential to the success of their business. In this paper, we introduce several ne...	false	false	[ "Daniela Oelke", "Ming C. Hao", "Christian Rohrdantz", "Daniel A. Keim", "Umeshwar Dayal", "Lars-Erik Haug", "Halldór Janetzko" ]	[]	[]	[]
VAST	2,009	Visualization of uncertainty and analysis of geographical data	10.1109/VAST.2009.5333965	A team of five worked on this challenge to identify a possible criminal structure within the Flitter social network. Initially we worked on the problem individually, deliberately not sharing any data, results or conclusions. This maximised the chances of spotting any blunders, unjustified assumptions or inferences and ...	false	false	[ "Jo Wood", "Aidan Slingsby", "Naz Khalili-Shavarini", "Jason Dykes", "David M. Mountain" ]	[]	[]	[]
VAST	2,009	Visualized subgraph search	10.1109/VAST.2009.5333968	We present a visually supported search and browsing system for network-type data, especially a novel module for subgraph search with a GUI to define subgraphs for queries. We describe how this prototype was applied for the Vast Challenge 2009, Flitter Mini Challenge.	false	false	[ "Dóra Erdös", "Zsolt Fekete", "András Lukács" ]	[]	[]	[]
VAST	2,009	What's being said near "Martha"? Exploring name entities in literary text collections	10.1109/VAST.2009.5333248	A common task in literary analysis is to study characters in a novel or collection. Automatic entity extraction, text analysis and effective user interfaces facilitate character analysis. Using our interface, called POSvis, the scholar uses word clouds and self-organizing graphs to review vocabulary, to filter by part ...	false	false	[ "Romain Vuillemot", "Tanya E. Clement", "Catherine Plaisant", "Amit Kumar" ]	[]	[]	[]
VAST	2,009	Working memory load as a novel tool for evaluating visual analytics	10.1109/VAST.2009.5333468	The current visual analytics literature highlights design and evaluation processes that are highly variable and situation dependent, which raises at least two broad challenges. First, lack of a standardized evaluation criterion leads to costly re-designs for each task and specific user community. Second, this inadequac...	false	false	[ "Courtney C. Dornburg", "Laura E. Matzen", "Travis L. Bauer", "Laura A. McNamara" ]	[]	[]	[]
InfoVis	2,009	"Search, Show Context, Expand on Demand": Supporting Large Graph Exploration with Degree-of-Interest	10.1109/TVCG.2009.108	A common goal in graph visualization research is the design of novel techniques for displaying an overview of an entire graph. However, there are many situations where such an overview is not relevant or practical for users, as analyzing the global structure may not be related to the main task of the users that have se...	false	false	[ "Frank van Ham", "Adam Perer" ]	[]	[]	[]
InfoVis	2,009	A Comparison of User-Generated and Automatic Graph Layouts	10.1109/TVCG.2009.109	The research presented in this paper compares user-generated and automatic graph layouts. Following the methods suggested by van Ham et al. (2008), a group of users generated graph layouts using both multi-touch interaction on a tabletop display and mouse interaction on a desktop computer. Users were asked to optimize ...	false	false	[ "Tim Dwyer", "Bongshin Lee", "Danyel Fisher", "Kori Inkpen Quinn", "Petra Isenberg", "George G. Robertson", "Chris North 0001" ]	[]	[]	[]
InfoVis	2,009	A Multi-Threading Architecture to Support Interactive Visual Exploration	10.1109/TVCG.2009.110	During continuous user interaction, it is hard to provide rich visual feedback at interactive rates for datasets containing millions of entries. The contribution of this paper is a generic architecture that ensures responsiveness of the application even when dealing with large data and that is applicable to most types ...	false	false	[ "Harald Piringer", "Christian Tominski", "Philipp Muigg", "Wolfgang Berger" ]	[]	[]	[]
InfoVis	2,009	A Nested Model for Visualization Design and Validation	10.1109/TVCG.2009.111	We present a nested model for the visualization design and validation with four layers: characterize the task and data in the vocabulary of the problem domain, abstract into operations and data types, design visual encoding and interaction techniques, and create algorithms to execute techniques efficiently. The output ...	false	false	[ "Tamara Munzner" ]	[ "TT" ]	[]	[]
InfoVis	2,009	ABySS-Explorer: Visualizing Genome Sequence Assemblies	10.1109/TVCG.2009.116	One bottleneck in large-scale genome sequencing projects is reconstructing the full genome sequence from the short subsequences produced by current technologies. The final stages of the genome assembly process inevitably require manual inspection of data inconsistencies and could be greatly aided by visualization. This...	false	false	[ "Cydney B. Nielsen", "Shaun D. Jackman", "Inanç Birol", "Steven J. M. Jones" ]	[ "BP" ]	[]	[]
InfoVis	2,009	ActiviTree: Interactive Visual Exploration of Sequences in Event-Based Data Using Graph Similarity	10.1109/TVCG.2009.117	The identification of significant sequences in large and complex event-based temporal data is a challenging problem with applications in many areas of today's information intensive society. Pure visual representations can be used for the analysis, but are constrained to small data sets. Algorithmic search mechanisms us...	false	false	[ "Katerina Vrotsou", "Jimmy Johansson 0001", "Matthew Cooper 0001" ]	[]	[]	[]
InfoVis	2,009	Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations	10.1109/TVCG.2009.122	While many data sets contain multiple relationships, depicting more than one data relationship within a single visualization is challenging. We introduce Bubble Sets as a visualization technique for data that has both a primary data relation with a semantically significant spatial organization and a significant set mem...	false	false	[ "Christopher Collins 0001", "Gerald Penn", "Sheelagh Carpendale" ]	[]	[]	[]
InfoVis	2,009	code_swarm: A Design Study in Organic Software Visualization	10.1109/TVCG.2009.123	In May of 2008, we published online a series of software visualization videos using a method called code_swarm. Shortly thereafter, we made the code open source and its popularity took off. This paper is a study of our code swarm application, comprising its design, results and public response. We share our design metho...	false	false	[ "Michael Ogawa", "Kwan-Liu Ma" ]	[]	[]	[]
InfoVis	2,009	Comparing Dot and Landscape Spatializations for Visual Memory Differences	10.1109/TVCG.2009.127	Spatialization displays use a geographic metaphor to arrange non-spatial data. For example, spatializations are commonly applied to document collections so that document themes appear as geographic features such as hills. Many common spatialization interfaces use a 3-D landscape metaphor to present data. However, it is...	false	false	[ "Melanie Tory", "Colin Swindells", "Rebecca Dreezer" ]	[]	[]	[]
InfoVis	2,009	Configuring Hierarchical Layouts to Address Research Questions	10.1109/TVCG.2009.128	We explore the effects of selecting alternative layouts in hierarchical displays that show multiple aspects of large multivariate datasets, including spatial and temporal characteristics. Hierarchical displays of this type condition a dataset by multiple discrete variable values, creating nested graphical summaries of ...	false	false	[ "Aidan Slingsby", "Jason Dykes", "Jo Wood" ]	[ "HM" ]	[]	[]
InfoVis	2,009	Conjunctive Visual Forms	10.1109/TVCG.2009.129	Visual exploration of multidimensional data is a process of isolating and extracting relationships within and between dimensions. Coordinated multiple view approaches are particularly effective for visual exploration because they support precise expression of heterogeneous multidimensional queries using simple interact...	false	false	[ "Chris E. Weaver" ]	[]	[]	[]
InfoVis	2,009	Constructing Overview + Detail Dendrogram-Matrix Views	10.1109/TVCG.2009.130	A dendrogram that visualizes a clustering hierarchy is often integrated with a re-orderable matrix for pattern identification. The method is widely used in many research fields including biology, geography, statistics, and data mining. However, most dendrograms do not scale up well, particularly with respect to problem...	false	false	[ "Jin Chen", "Alan M. MacEachren", "Donna Peuquet" ]	[]	[]	[]
InfoVis	2,009	Document Cards: A Top Trumps Visualization for Documents	10.1109/TVCG.2009.139	Finding suitable, less space consuming views for a document's main content is crucial to provide convenient access to large document collections on display devices of different size. We present a novel compact visualization which represents the document's key semantic as a mixture of images and important key terms, sim...	false	false	[ "Hendrik Strobelt", "Daniela Oelke", "Christian Rohrdantz", "Andreas Stoffel", "Daniel A. Keim", "Oliver Deussen" ]	[]	[]	[]
InfoVis	2,009	Exemplar-based Visualization of Large Document Corpus	10.1109/TVCG.2009.140	With the rapid growth of the World Wide Web and electronic information services, text corpus is becoming available online at an incredible rate. By displaying text data in a logical layout (e.g., color graphs), text visualization presents a direct way to observe the documents as well as understand the relationship betw...	false	false	[ "Yanhua Chen", "Lijun Wang", "Ming Dong 0001", "Jing Hua 0001" ]	[]	[]	[]

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