第三届中国可视化与可视分析大会(ChinaVis 2016)

2016年07月21日 - 07月23日
长沙
¥800 起

会议介绍

【会议日程】

论文报告

Session 1: Information Visualization Algorithms and Techniques

Focus + Context Grouping for Animated Transitions. (J)
  • Yixian Zheng - Hong Kong University of Science and Technology
  • Wenchao Wu - Hong Kong University of Science and Technology
  • Nan Cao - New York University, Shanghai
  • Lionel M. Ni - University of Macau
  • Huamin Qu - Hong Kong University of Science and Technology
Visual Subspace Clustering Based on Dimension Relevance. (J)
  • Jiazhi Xia - Central South University
  • Guang Jiang - Central South University
  • Yuhong Zhang - Central South University
  • Wei Chen - State Key Lab of CAD&CG, Zhejiang University
  • Rui Li - Central South University
Fast Content-Aware Resizing of Multi-layer Information Visualization via Adaptive Triangulation. (J)
  • Chenhui Li - The Hong Kong Polytechnic University
  • George Baciu - The Hong Kong Polytechnic University
  • Yunzhe Wang - The Hong Kong Polytechnic University
LeapG: A Mid-Air Interaction Support for Analytics in Information Visualization as Plug-In Interface. (C)
  • Tiemeng Li - Beijing University of Posts & Telecommuncations
  • Chufan Lai - Peking University
  • Lijing Lin - Peking University
  • Xiaoru Yuan - Peking University
平行坐标中的边捆绑技术研究 (C)
  • 秦红星 - 重庆邮电大学计算机科学与技术学院
  • 卫学仕 - 重庆邮电大学计算机科学与技术学院
  • 万国伟 - 山东大学

Section 2: Scientific Visualization Applications

Efficient Visualization of High Resolution Nuclear Virtual Reactor. (J)
  • Yi Cao - Institute of Applied Physics and Computational Mathematics
  • Zhiwei Ai - Institute of Applied Physics and Computational Mathematics
  • Huawei Wang - Institute of Applied Physics and Computational Mathematics
  • Li Xiao - Institute of Applied Physics and Computational Mathematics
  • Zhe Zhang - CAEP Software Center for High Performance Numerical Simulation
Visual Interactive Exploration and Clustering of HARDI fibers.(J)
  • Chaoqing Xu - Zhejiang University of Technology
  • Guodao Sun - Zhejiang University of Technology
  • Yipeng Liu - Zhejiang University of Technology
  • Huajiong Chi - Zhejiang University of Technology
  • Zhipeng Li - Zhejiang University of Technology
  • Ronghua Liang - Zhejiang University of Technology
Tropical Cyclone Disaster Prediction and Visual Analysis. (J)
  • Cui Xie - Ocean University of China,QingDao,ShanDong,China
  • Guangxiao Ma - Ocean University of China,QingDao,ShanDong,China
  • Xiao Luo - Ocean University of China,QingDao,ShanDong,China
  • Junyu Dong - Ocean University of China,QingDao,ShanDong,China
Visual Analytics for Marine Operations. (C )
  • Hao Wang - Norwegian Unversity of Science and Technology in Aalesund
  • Xu Zhuge - Norwegian Unversity of Science and Technology in Aalesund
  • Girts Strazdins - Norwegian Unversity of Science and Technology in Aalesund

Session 3: Uncertainty and Ensemble Visualization

Uncertainty-aware Visual Analytics for Exploring Human Behaviors from Heterogeneous Spatial Temporal Data. (J)
  • Siming Chen - Peking University
  • Zuchao Wang - Qihoo 360 Technology Co. Ltd.
  • Jie Liang - The University of Technology, Sydney
  • Xiaoru Yuan - Peking University
UNMAT: Visual Comparison and Exploration of Uncertainty in Large Graph Sampling. (J)
  • Tan Tang - State Key Lab of CAD&CG, Zhejiang University
  • Yunfeng Li - School of Mathematical Sciences, Zhejiang University
  • Sufei Wang - State Key Lab of CAD&CG, Zhejiang University
  • Yingcai Wu - State Key Lab of CAD&CG, Zhejiang University
集合模拟数据可视化与可视分析研究 (J)
  • Qingya Shu - Peking University, China
  • Richen Liu - Peking University, China
  • Fan Hong - Peking University, China
  • Jiang Zhang - Peking University, China
  • Xiaoru Yuan - Peking University, China
Urban Agglomerations-based Visual Analysis of Air Quality Data. (C)
  • Guodao Sun - Zhejiang University of Technology
  • Yajuan Hu - Zhejiang University of Technology
  • XiaoRui Jiang - Zhejiang University of Technology
  • Ronghua Liang - Zhejiang University of Technology
Uncertainty Visualization for Variable Interactions Analysis.(C)
  • Huijie Zhang - School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117,China
  • Dezhan Qu - School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117,China
  • Quanle Liu - School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117,China
  • Qi Shang - School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117,China
  • Yafang Hou - School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117,China

Session 4: Feature Extraction and Flows

Compression-based Integral Curve Data Reuse Framework for Flow Visualization. (J)
  • Fan Hong - Peking Unviersity, Beijing, China
  • Chongke Bi - AICS, RIKEN, Kobe, Hyogo, Japan
  • Hanqi Guo - Argonne National Laboratory, Argonne, Illinois, USA
  • Kenji Ono - AICS, RIKEN, Kobe, Hyogo, Japan
  • Xiaoru Yuan - Peking Unviersity, Beijing, China
Detection and Classification of Critical Points in Piecewise Linear Vector Fields. (J)
  • Wentao Wang - National University of Defense Technology
  • Wenke Wang - National University of Defense Technology
  • Sikun Li - National University of Defense Technology
Geometrical Characteristic Based Stream Surface of 3D Flow Field. (J)
  • Song Wang - Institute of Electronic Engineering, China Academy of Engineering Physics.
  • Yadong Wu - School of Computer Science and Technology, Southwest University of Science and Technology.
  • Bin Wu - School of Information Engineering, Southwest University of Science and Technology.
An Accurate Vortex Feature Extraction Method for Lagrangian Vortex Visualization on High Order Flow field Data. (J)
  • Fang Wang - College of Computer Science, National University of Defense Technology
  • Dan Zhao - Computational Aerodynamics Institute, China Aerodynamics Research and Development Center.
  • Liang Deng - Computational Aerodynamics Institute, China Aerodynamics Research and Development Center.
  • Sikun Li - College of Computer Science, National University of Defense Technology
A Corner-Point-Grid-Based Voxelization Method for Complex Geological Structure Model with Folds. (J)
  • Qiyu Chen - School of Computer Science, China University of Geosciences (Wuhan)
  • Gang Liu - School of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan)
  • Xinchuan Li - School of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan)
  • Zhiting Zhang - School of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan)
  • Yanan Jiang - School of Computer Science, China University of Geosciences (Wuhan)
  • Wendi Yu - School of Computer Science, China University of Geosciences (Wuhan)

Session 5: Behaviors, Movement and Mobility Data

The visual analysis of flow pattern for public bicycle system. (J)
  • Xiaoying Shi - Hangzhou Dianzi University
  • Zhenhai Yu - Hangzhou Dianzi University
  • Xianwen Zhang - Hangzhou Dianzi University
  • Jing Chen - Hangzhou Dianzi University
  • Haitao Xu - Hangzhou Dianzi University
  • Fei Lin - Hangzhou Dianzi University
From Social Community to Spatial Information: A New Method for Mobile Data Exploring. (J)
  • Hongyu Jiang - Southwest University of Science and Technology
  • Yadong Wu - Southwest University of Science and Technology
  • Mengxin Sun - Southwest University of Science and Technology
  • Xinping Wu - Southwest University of Science and Technology
  • Song Wang - Southwest University of Science and Technology
  • Yangsong Zhang - Southwest University of Science and Technology
A Personal Visual Analytics on Smartphone Usage Data. (J)
  • Xiaoping Fan - School of Information Science and Engineering, Central South University
  • Yanni Peng - School of Information Science and Engineering, Central South University
  • Ying Zhao - School of Information Science and Engineering, Central South University
  • Yong Li - Baidu.Inc
  • Dan Meng - School of Information Science and Engineering, Central South University
  • Zengsheng Zhong School of Information Science and Engineering, Central South University
  • Zengsheng Zhong -Information Office of ChongQing Technology and Business University
  • Fangfang Zhou - School of Information Science and Engineering, Central South University
  • Mingming Lu - School of Information Science and Engineering, Central South University
Visualizing Semantic Transportation Graph of Urban Trajectory. (C)
  • Hongxin Zhang - Zhejiang University
  • Fengfan Sheng - Zhejiang University of Technology|Hangzhou|Zhejiang|China
  • Ying Tang - Zhejiang University of Technology|Hangzhou|Zhejiang|China
  • Chaojie Shi - Zhejiang University
  • Chuankang Li - Zhejiang University
Behavior Analysis through Collaborative Visual Exploration on Trajectory Data. (C)
  • Tangzhi Ye - Peking University
  • Youfeng Hao - Peking University
  • Zhenhuang Wang - Peking University
  • Chufan Lai - Peking University
  • Siming Chen - Peking University
  • Zongru Li - Peking University
  • Jie Liang - University of Technology, Sydney
  • Xiaoru Yuan - Peking University

Session 6: Visual Analytics Applications I

一种以用户为中心的多空间协同网络安全可视分析方法 (J)
  • 钟增胜 - 中南大学
  • 钟增胜 - 重庆工商大学
  • 赵颖 - 中南大学
  • 施荣华 - 中南大学
  • 彭燕妮 - 中南大学
  • 门华 - 重庆工商大学
  • 盛英帅 - 中南大学
  • 罗聘 - 中南大学
  • 林丹 - 重庆工商大学
  • 周芳芳 - 中南大学
一种无线电频谱与无线电信号数据协同可视分析方法 (J)
  • 周芳芳 - 中南大学
  • 曾媛 - 中南大学
  • 赵颖 - 中南大学
  • 张蓉 - 中南大学
  • 章杰 - 中南大学
  • 王劲松 - 西南电子电信技术研究所上海分所
  • 王丹 - 西南电子电信技术研究所上海分所
A Visual Analytics Approach for Flood Risk Analysis and Decision-making in Cultural Heritage. (J)
  • Huibin Li - School Of Computer Science And Technology, Tianjin University
  • Jiawan Zhang - School of Computer Software and Information Technology Research Center for Cultural Heritage Conservation and Promotion, Tianjin University
  • Jizhou Sun - School Of Computer Science And Technology, Tianjin University
  • Jindong Wang - School of Computer Software, Tianjin University
多视图联动的多模态电影数据可视化 (C)
  • 汤颖 - 浙江工业大学
  • 俞佳 - 浙江工业大学
  • 盛风帆 - 浙江工业大学
  • 熊丽荣 - 浙江工业大学
  • 范菁 - 浙江工业大学
Visual Quality Assessment of Urban Infrastructure via Temporal-Spatial Evolution of Malfunction Incidents. (C )
  • Jiawan Zhang - School of Computer Software, Tianjin University, Tianjin, China
  • Binghan Xu - School of Computer Software, Tianjin University, Tianjin, China
  • Tao Mi - School of Computer Software, Tianjin University, Tianjin, China
  • Jin Xu - School of Computer Software, Tianjin University, Tianjin, China
  • Zeyu Pan - School of Computer Software, Tianjin University, Tianjin, China

Session 7: Graphs and Networks

HybridVis: An Adaptive Hybrid-scale Visualization of Multivariate Graphs. (J)
  • Yuhua Liu - School of Computer Science and Software Engineering, East China Normal University
  • Changbo Wang - School of Computer Science and Software Engineering, East China Normal University
  • Peng Ye - College of Computer Science and Technology, Soochow University
  • Kang Zhang - School of Software Engineering, Tianjin University
A survey of Dynamic Graph Visualization. (J)
  • Licong Deng - Shanghai Jiaotong University
  • Xiaoju Dong - Shanghai Jiaotong University
TMNVis: Visual Analysis of Evolution in Temporal Multivariate Network at Multiple Granularities. (J)
  • Binbin Lu - Sichuan University
  • Min Zhu - Sichuan University
  • Qinglai He - Sichuan University
  • Mingzhao Li - RMIT University
  • Ruoyu Jia - Sichuan University
Graph visualization based on multi-scale perception optimization. (C)
  • Peng Ye - College of Computer Science and Technology, Soochow University
  • Yuhua Liu - School of Computer Science and Software Engineering, East China Normal University
  • Sicheng Dai - School of Computer Science and Software Engineering, East China Normal University
  • Changbo Wang - School of Computer Science and Software Engineering, East China Normal University
  • Qiaoming Zhu - College of Computer Science and Technology, Soochow University
  • Kang Zhang - School of Software Engineering, Tianjin University
基于视觉感知的图布局方法评估 (C)
  • Jiafan Li -East China Normal University, School of Computer Science and Software Engineering
  • Yuhua Li -East China Normal University, School of Computer Science and Software Engineering
  • Changbo Wang -East China Normal University, School of Computer Science and Software Engine

Session 8: Visual Analytics of Text, Time-Series, and Multidimensional Data

Improved Visual Correlation Analysis for Multidimensional Data. (J)
  • Teng Liu - Tianjin University
  • Yi Zhang - Tianjin University
  • Kefei Li - Tianjin University
  • Jiawan Zhang - Tianjin University
Visualization of Social Media Flows with Interactively Identified Key Players. (J)
  • Xiaoru Yuan - School of EECS, Peking University, Beijing, Beijing, China
  • Zhenhuang Wang - School of EECS, Peking University, Beijing, Beijing, China
  • Zipeng Liu - School of EECS, Peking University, Beijing, Beijing, China
  • Lijing Lin - School of EECS, Peking University, Beijing, Beijing, China
  • Cong Guo - School of EECS, Peking University, Beijing, Beijing, China
  • Siming Chen - School of EECS, Peking University, Beijing, Beijing, China
  • Donghao Ren - University of California, Santa Barbara
面向微博的主题模型可视分析 (J)
  • Zhenhuang Wang - School of EECS, Peking University, Beijing
  • Xiaoru Yuan - School of EECS, Peking University, Beijing
Classical Chinese Poem Visualization. (C )
  • Kefei Li - Tianjin University
  • Yi Zhang - Tianjin University
  • Teng Liu - Tianjin University
  • Jiawan Zhang - Tianjin University
A Synthetic Visualization System for High Dimensional Time Series Data. (C)
  • Hao Ma - National University of Defense Technology
  • Xiaolei Du - National University of Defense Technology
  • Yingmei Wei - National University of Defense Technology

Session 9: Visual Analytics Applications II

Pattern Discovery: A Progressive Visual Analytic System Design to Support Categorical Data Analysis. (J)
  • Yan Liu - College of Engineering, The Pennsylvania State University
  • Hanqing Zhao - College of Information Sciences and Technology, The Pennsylvania State University
  • Xiaolong Zhang - College of Information Sciences and Technology, The Pennsylvania State University; Taiyuan University of Technology, China
基于在线交易日志的用户购买行为可视化分析 (J)
  • 曾昂 - 四川大学
  • 朱敏 - 四川大学
  • 刘汉清 - 四川大学
  • 李明召 - 墨尔本皇家理工大学
  • 贾若雨 - 四川大学
Small Galaxy Network: Visualization of Multivariate Marketing Data Based on Force-directed and Clustering. (J)
  • Chao Deng - College of Information and Electrical Engineering, China Agricultural University, Beijing, China.
  • Ruizhi Sun - College of Information and Electrical Engineering, China Agricultural University, Beijing, China.
  • Jinwei Song - National Space Science Center of CAS, Beijing, China.
  • Ruizhi Sun - Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, Beijing, China
基于叙事结构的地理空间情报可视分析方法 (C)
  • Xiaohui CHEN -Institute of Surveying and Mapping in Zhengzhou, Zhengzhou 450052, China
  • Gang WAN -Institute of Surveying and Mapping in Zhengzhou, Zhengzhou 450052, China
  • Wei ZHANG -Institute of Surveying and Mapping in Zhengzhou, Zhengzhou 450052, China
  • Liheng TAN -Institute of Surveying and Mapping in Zhengzhou, Zhengzhou 450052, China
  • Feng LI - Institute of Surveying and Mapping in Zhengzhou, Zhengzhou 450052, China
  • Yuting LIAO -Institute of Surveying and Mapping in Zhengzhou, Zhengzhou 450052, China
多判定标准下的农残检测数据对比可视分析 (C)
  • 陈红倩 - 北京工商大学
  • 方艺 - 北京工商大学
  • 杨倩玉 - 北京工商大学
  • 李慧 - 北京联合大学
  • 陈谊 - 北京工商大学

专题报告

专 题:交通大数据可视分析 (主持人:吴亚东 西南科技大学)

无遮挡的嵌入式时空数据可视化技术,孙国道,浙江工业大学
大规模出租车轨迹数据驱动的广告牌位置选取,翁荻,浙江大学
跨域城市数据融合的交通事故可视化应用分析,范晓亮,厦门大学
城市移动数据知微探秘,陆旻,北京大学

专 题:面向超算环境的大规模数据可视化 (主持人:单桂华 中科院计算机网络信息中心)

基于超算的交互式大数据可视化,毕重科,日本理研所
面向大规模科学与工程计算的高效可视分析引擎研制,肖丽,北京应用物理与计算数学研究所
大规模流场数据并行可视化系统YH-CPVS,王文珂,国防科技大学
大规模时序数据的特征可视化,单桂华,中科院计算机网络信息中心

专 题:数字人文可视化 (主持人:王长波 华东师范大学)

面向世界遗产地预防性保护的风险可视分析,张加万,天津大学
学之环—学子成绩背后流动的校园卡消费时空变化,蒲剑苏,电子科技大学
中国清代家谱数据的可视分析,王长波,华东师范大学,
中医经典医著与医案数据可视化知识发现,刘文远,燕山大学

专 题:可视化基础理论与方法 (主持人:陈为 浙江大学)

可视化研究中的评估方法,张小龙,美国宾州州立大学
基于认知机理的可视化知识发现数学理论及其应用,洪文学,燕山大学
仿真数据可视化的色标设计与感知增强,周亮,德国斯图加特大学
时序数据的可视化方法自动选择,汪云海,山东大学

专 题:社交媒体大数据的可视分析 (主持人:巫英才 浙江大学)

微博语义传播地图,陈思明,北京大学
社交媒体中的用户行为可视化及分析,曹楠,上海纽约大学
社交网络中人际关系演变可视分析,郭方舟,浙江大学
社交网络中事件影响力可视分析,王希廷,清华大学

专 题:网络安全可视化 (主持人:张加万 天津大学)

以用户为中心推动网络安全可视化的实践和应用,赵颖,中南大学
大规模用户异常行为分析可视化,万晓川,瀚思安信
用可视分析打击伪基站,徐凤超,奇虎360

专 题:城市大数据可视分析 (主持人:刘瑜 北京大学)

可视分析在城市治安大数据中的应用 (VALCRI: Visual Analytics for Sense Making in Criminal Intelligence),徐凯,英国密德萨斯大学
空间交互模型及分析方法,刘瑜,北京大学
面向旅游主题的社交网络数据可视分析及其在旅游管理中的应用,吴亚东,西南科技大学
城市食品安全数据可视分析,陈谊,北京工商大学

专 题:可视化交互技术 (主持人:俞凌云 杭州电子科技大学)

大规模粒子数据的交互选择,俞凌云,杭州电子科技大学
基于感知的脑部网络可视比较,时磊,中科院软件所
可视分析中的人机交互基础,任磊,北京航空航天大学

专 题:可视化标准 (主持人:胡春明 北京航空航天大学)

TBD

讨论会

Panel 1: 架起可视化与机器学习和数据挖掘的桥梁

随着计算机网络广泛应用以及大数据时代的到来,数据和信息的产生和扩散越来越海量化、多样化和即时化。因此如何帮助人们从多种多样的信息传播渠道中迅速挖掘真金成为十分关键也颇具挑战性的问题之一。近几年来,研究人员紧密结合机器学习、数据挖掘与信息可视化等领域的技术帮助用户更好地理解和分析信息,从而为解决这一技术难题提供了一个可行方案。在这个专题讨论中,我们旨在讨论这一跨学科研究所面临的主要技术挑战、关键技术、最新技术和研究现状、典型应用案例及未来发展趋势。
Panel 专家:
朱军,清华大学 副教授
陈为,浙江大学 教授
刘世霞,清华大学 副教授
时磊,中科院软件所 副研究员

Panel 2: 形成可视化研究应用与产业协同发展的新生态

随着大数据时代的到来,可视化与可视分析以其将人的智能与计算机的超强处理能力有机融合的优势,开始成为数据分析和科学决策的重要方法和有效手段,越来越多的领域复杂问题迫切需要用可视化的方法来解决。迄今为止,科研人员在可视化与可视分析理论方法的研究方面已取得丰富成果、一些典型的可视化应用和可视化工具也开始出现,然而如何将这些成果快速、高效地推广应用、发展可视化产业、形成可视化研究应用与产业协同发展的新生态是一个颇具挑战性的问题。本专题讨论将重点讨论可视化与可视分析的领域应用需求分析、典型可视化与可视分析工具、系统应用生态、产业化机制和体制创新。
Panel 专家:
袁晓如,北京大学研究员
张加万,天津大学教授
冯一村,海云数据CEO

【会议嘉宾】

第三届中国可视化与可视分析大会(ChinaVis 2016)

04

组织委员会主席

  • 王文珂 (国防科技大学)
  • 蒋杰 (国防科技大学)
  • 徐凯 (国防科技大学)
 
05

海报张贴主席

  • 赵晔 (美国肯特州立大学)
  • 曹楠 (上海纽约大学)
  • 俞凌云 (杭州电子科技大学)
 
06

Panel主席

  • 陈谊 (北京工商大学)
  • 王长波 (华东师范大学)
 
07

课程主席

  • 陈莉 (清华大学)
  • 崔为炜 (微软亚洲研究院)
 
08

可视分析竞赛委员会主席

  • 赵颖 (中南大学)
  • 张卓 (奇虎公司)
  • 宋汉辰 (国防科技大学)
 
09

展览委员会主席

  • 吴亚东 (西南科技大学)
  • 蒋杰 (国防科技大学)
  • 覃京燕 (北京科技大学)
  • 汪云海 (山东大学)
 
10

会务主席

  • 王文珂 (国防科技大学)
  • 徐凯 (国防科技大学)
 
11

出版主席

  • 徐凯 (国防科技大学)
  • 陶煜波 (浙江大学)
 
12

宣传主席

  • 徐凯 (国防科技大学)
  • 周虹 (深圳大学)
  • 黄志敏 (财新)
 
13

网站主管

  • 洪帆 (北京大学)
  • 徐凯 (国防科技大学)

 

【会议门票】

注册类型

优惠注册金额

正常注册金额

现场注册金额

2016年7月5日23:59前

2016年7月5日23:59后

2016年7月21号至23号(现场)

普通注册

1200元

1500元

1800元

学生注册

800元

1000元

1200元

 

【会议通知】

中国可视化与可视分析大会 (ChinaVis) 由我国可视化业界工作者联合发起,宗旨是促进中国及周边地区的可视化与可视分析研究与应用的交流,探讨在大数据时代可视化与可视分析发展的方向与机遇,推动相关研究与应用的发展与进步,推进学科的发展,促进人才培养和交流。会议将搭建与国内外著名专家、企业家、应用部门面对面交流,深入研讨可视化前沿技术及其应用的交流和沟通平台,促进中国可视化与可视分析领域产、学、研、用协同发展新生态的形成。第一届和第二届中国可视化与可视分析大会分别于北京(2014年)和天津(2015年)举办,会议汇集了国内外数百名可视化研究人员与领域专家,取得了圆满成功。

第三届中国可视化与可视分析大会(ChinaVis 2016) 将于 2016 年 7 月 21 日- 23 日在长沙举行。本次大会由国防科技大学高性能计算国家重点实验室 (HPCL) 承办,有多家赞助单位协办。本次大会内容包括特邀报告、论文报告、海报、展览、及专题研讨。会议同期还将举办中英可视化高峰论坛等活动。大会将邀请国内外可视化领域知名专家就相关研究与应用的最新进展作大会报告,介绍发展动态,开拓研究思路。欢迎从事可视化与可视分析,以及相关领域研究的专家、学者、学生以及工业界的专家、专业技术人员踊跃投稿与参会。

会议议题:

  • 可视化与可视分析理论
  • 科学可视化新方法
  • 信息可视化新方法
  • 可视分析新方法
  • 可视知识表达与发现
  • 可视化评估方法与理论
  • 各类数据的可视化表达
  • 可视数据管理
  • 可视查询与挖掘
  • 交互可视化技术和设备
  • 大数据可视化与可视分析技术和系统
  • 科学与工程模拟建模及可视化
  • 可视化显示技术
  • 可视化与可视分析系统
  • 可视化应用(包括自然科学,工程,社会科学)

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