IEEE Pacific Visualization 2017: papers on the web

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Session 1: Graphs and Networks I

HoNVis: Visualizing and Exploring Higher-Order Networks
Jun Tao(Michigan Technological University), Jian Xu, Chaoli Wang (Michigan Technological University), and Nitesh Chawla

Privacy Preserving Visualization for Social Network Data with Ontology Information
Jia-Kai Chou, Chris Bryan, and Kwan-Liu Ma (University of California, Davis)

A Visual Analytics Approach for Understanding Egocentric Intimacy Network Evolution and Impact Propagation in MMORPGs
Quan Li, Qiaomu Shen, Yao Ming, Peng Xu, Yun Wang, Xiaojuan Ma, and Huamin Qu(Hong Kong University of Science and Technology)

Session 2: Immersion, VR, and Interaction

Evaluating Multi-User Selection for Exploring Graph Topology on Wall-Displays
Arnaud Prouzeau, Anastasia Bezerianos(LRI-Université Paris-Sud 11), and Olivier Chapuis

Virtual Retractor: An Interactive Data Exploration System Using Physically Based Deformation
Cheng Li, Xin Tong (Microsoft Research Asia), and Han-Wei Shen (The Ohio State University)

Interaction+: Interaction Enhancement for Web-based Visualizations
Min Lu (Peking University), Jie Liang, Yu Zhang, Guozheng Li, Siming Chen, Zongru Li, and Xiaoru Yuan (Peking University)

Session 3: Geospatial Visualization and Applications

In Situ Magnetic Flux Vortex Visualization in Time-Dependent Ginzburg-Landau Superconductor Simulations
Hanqi Guo(Argonne National Laboratory), Tom Peterka, and Andreas Glatz

Designing Interactive Distance Cartograms to Support Urban Travelers
Sungsoo (Ray) Hong, Rafal Kocielnik, Min-Joon Yoo, Sarah Battersby, Juho Kim, and Cecilia Aragon

MobiSeg: Interactive Region Segmentation Using Heterogeneous Mobility Data
Wenchao Wu(Hong Kong University of Science and Technology), Yixian Zheng(Hong Kong University of Science and Technology), Nan Cao (Hong Kong University of Science and Technology), Haipeng Zeng, Bing Ni, Huamin Qu(Hong Kong University of Science and Technology), and Lionel M. Ni

Exploring the Evolution of Pressure Perturbations to Understand Atmospheric Phenomena
Wathsala Widanagamaachchi, Alexander Jacques, Bei Wang, Erik Crosman, Peer-Timo Bremer (Lawrence Livermore National Laboratory), Valerio Pascucci (University of Utah), and John Horel

Session 4: Multidimensional Data, Multifields, and Uncertainty

Homogeneity Guided Probabilistic Data Summaries for Analysis and Visualization of Large-Scale Data Sets
Soumya Dutta(The Ohio State University), Jonathan Woodring, Han-Wei Shen (Ohio State University), Jen-Ping Chen, and James Ahrens

Efficient Distribution based Feature Search in Multi-field Datasets
Tzu-Hsuan Wei (The Ohio State University), Chun-Ming Chen (The Ohio State University), Jon Woodring, Huijie Zhang, and Han-Wei Shen (The Ohio State University)

SwiftTuna: Responsive and Incremental Visual Exploration of Large-scale Multidimensional Data
Jaemin Jo, Wonjae Kim, Seunghoon Yoo, Bohyoung Kim, and Jinwook Seo(Seoul National University)

Multivariate Volumetric Data Analysis and Visualization through Bottom-Up Subspace Exploration
Kewei Lu(The Ohio State University) and Han-Wei Shen (The Ohio State University)

Range Likelihood Tree: A Compact and Effective Representation for Visual Exploration of Uncertain Data Sets
Wenbin He (The Ohio State University), Xiaotong Liu, Han-Wei Shen (Ohio State University), Scott Collis, and Jonathan Helmus

Session 5: Volume Visualization

Spatio-temporal Feature Exploration in Combined Particle/Volume Reference Frames
Franz Sauer(University of California, Davis) and Kwan-Liu Ma(UC Davis)

Statistical Visualization and Analysis of Large Data Using a Value-based Spatial Distribution
Ko-Chih Wang, Kewei Lu(The Ohio State University), Tzu-Hsuan Wei (The Ohio State University), Naeem Shareef, and Han-Wei Shen (The Ohio State University)

Transfer Function Design Toolbox for Full-Color Volume Datasets
Martin Falk (Linköping University), Ingrid Hotz (Linköping University), Patric Ljung, Darren Treanor, Anders Ynnerman, and Claes Lundström

Session 6: Graphs and Networks II

FFTEB: Edge Bundling of Huge Graphs by the Fast Fourier Transform
Antoine LHUILLIER, Christophe Hurter (DGAC-DTI R& D, ENAC/Univ. Toulouse), and Alexandru Telea (University of Groningen)

Visualizing the Uncertainty Induced by Graph Layout Algorithms
Kai Yan and Weiwei Cui(Microsoft Research Asia)

Proxy Graph: Visual Quality Metrics of Big Graph Sampling
Quan Nguyen (University of Sydney), Seok-Hee Hong (University of Sydney), Peter Eades (University of Sydney), and Amyra Meidiana(University of Sydney)

Session 7: Text, Annotation, and Coding

Aeonium: Visual Analytics to Support Collaborative Qualitative Coding
Margaret Drouhard, Nan-Chen Chen, Jina Suh, Rafal Kocielnik, Vanessa Peña-Araya, Keting Cen, Xiangyi Zheng, and Cecilia R. Aragon

ChartAccent: Annotation for Data-Driven Storytelling
Donghao Ren(University of California, Santa Barbara), Matthew Brehmer(University of British Columbia), Bongshin Lee (Microsoft Research), Tobias Höllerer, and Eun Kyoung Choe

Exploring Controversy via Sentiment Divergences of Aspects in Reviews
Jin Xu, Yubo Tao (Zhejiang University), Hai Lin (Zhejiang University), Rongjie Zhu, and Yuyu Yan

Word-Sized Graphics for Scientific Texts
Fabian Beck (University of Stuttgart) and Daniel Weiskopf(VISUS, University of Stuttgart)

Session 8: Medical, Biological, and Archaeological Visualization

Placenta Maps: In Utero Placental Health Assessment of the Human Fetus
Haichao Miao, Gabriel Mistelbauer(Vienna University of Technology), Alexey Karimov (TU Eindhoven), Amir Alansary, Mellisa Damodaram, Joseph V. Hajnal, Mary Rutherford, Bernhard Preim(Department of Simulation and Graphics, University of Magdeburg, Germany), Bernhard Kainz, and M. Eduard Groeller (Vienna University of Technology)

A Visual Analytics System for Brain Functional Connectivity Comparison across Individuals, Groups, and Time Points
Takanori Fujiwara, Jia-Kai Chou, Andrew McCullough, Charan Ranganath, and Kwan-Liu Ma( University of California-Davis)

Session 9: Perception, Quality, and Scalability

Towards Perceptual Optimization of the Visual Design of Scatterplots
Luana Micallef, Gregorio Palmas (MPI Informatik, Saarbrücken), Antti Oulasvirta (MPI Informatik, Saarbrücken), and Tino Weinkauf(Max-Planck-Institut)

Compression and Shifting to Reduce Occlusion in Multiple Short Time Series
Maxime Dumas, Michael McGuffin, and Patrick Chassé

Radial Contour Labeling with Straight Leaders
Benjamin Niedermann, Martin Nöllenburg (Karlsruher Institut für Technologie (KIT)), and Ignaz Rutter

Last updated: sat Aug 12 15:50:40 2017