Data visualization has emerged as a critical tool for effectively communicating complex information in a visual and accessible manner. With the increasing importance of data-driven decision-making, there has never been a greater need for individuals with strong data visualization skills. ZJU College of Computer Science and Technology, together with its international partners and ZJU partners, is going to present the Global Summer School of Data Visualization. This program offers a unique opportunity for individuals interested in enhancing their data visualization skills to connect with a global community of like-minded professionals.

Over the course of the program, participants will learn about the latest trends and techniques in data visualization from leading experts in the field. Through a series of basic lectures and interactive workshops, they will develop their skills in data analysis, storytelling, and design, with the opportunity to work on real-world projects that require data visualization solutions. The program also provides a series of advanced talks that cover a wide range of topics, including smart cities, education accessibility, and equality, etc. Participants will also have the chance to network and collaborate with individuals from all over the world, building lasting relationships within the data visualization community.

Course Time: July 15 - July 22, 2024

DOWNLOAD SYLLABUS      updated as of 28 April 2023 

Dr. Di Weng is a ZJU100 Young Professor at School of Software Technology, Zhejiang University. His main research interest lies in information visualization and visual analytics, focusing on interactive data transformation and spatiotemporal data analysis. He has published over 15 papers in top-tier international journals and conferences, including IEEE TVCG, IEEE ITS, and ACM CHI, and he also served as a program committee member for multiple conferences, including IEEE VIS 2023, a premier visualization conference. He received his Ph.D. degree in Computer Science from State Key Lab of CAD&CG,Zhejiang University. Prior to his current position, Dr. Weng was a researcher at Microsoft Research Asia from 2022 to 2023. For more information, please visit https://dwe.ng.

Xiao Xie is a specially-appointed researcher and doctoral supervisor of the School of Education, Zhejiang University. He is engaged in data visual analysis research, giving full play to the advantages of multidisciplinary interdisciplinary research, and has made great achievements in sports big data visualization, immersive data visualization, and visual analysis of sports techniques and tactics. He has published more than ten papers in international journals such as IEEE Trans and international conferences such as IEEE VIS and ACM CHI, and won the IEEE VIS 2022 Best Paper Honorable Mention Award.

Tan Tang is a researcher and doctoral supervisor of the Hundred Talents Program of the School of Art and Archaeology, Zhejiang University. He is engaged in the research on the information visualization design of 'The Great Series of Chinese Paintings in Past Dynasties'. He has published more than ten papers in international journals such as IEEE Trans and international conferences such as IEEE VIS and ACM CHI, and won the IEEE VIS 2021 Best Paper Honorable Mention Award.

Wei Chen is a professor and doctoral supervisor in State Key Lab of CAD&CG at Zhejiang University. His current research interests include visualization, visual analytics and bio-medical image computing. He has performed research in visualization and visual analysis and published more than 90 IEEE/ACM Transactions and IEEE VIS papers. He actively served in many leading conferences and journals, like IEEE PacificVIS steering committee, ChinaVIS steering committee, paper co-chairs of IEEE VIS, IEEE PacificVIS, IEEE LDAV and ACM SIGGRAPH Asia VisSym. He is an associate editor of IEEE TVCG, IEEE TBG, ACM TIST, IEEE T-SMC-S, IEEE TIV, IEEE CG&A, FCS, and JOV.

Yingcai Wu is a tenured professor and doctoral supervisor of the School of Computer Science and Technology, Zhejiang University. He was selected as a Changjiang Scholar by the Ministry of Education (2021) and serves as the deputy dean of the School of Computer Science and Technology. His research interests lie big data intelligence, visual analysis, artificial intelligence. He built an intelligent big data analysis and decision-making system for the table tennis national team, provided professional technical support, achieved remarkable results, and helped the national team win the Tokyo Olympics. He won the first prize of Zhejiang Provincial Natural Science Award in 2021. Served as the field paper chair of IEEE VIS 2022-2023 (CCF Class A conference).

Siming Chen is an Associate Professor at School of Data Science, Fudan University. He was a Research Scientist in Fraunhofer Institute for Intelligent Analysis and Information Systems (Fraunhofer IAIS), working with Dr. Gennady Andrienko and Dr. Nathaliyia Andrienko in Germany. He was also a Postdoctoral Researcher at University of Bonn, working with Prof. Stefan Wrobel. He received his Ph.D. on Computer Science at EECS, Peking University under Prof. Xiaoru Yuan. His research interests are in general visualization and visual analytics techniques as well as human-centered artificial intelligence. He has published many papers at the top conferences on computer visualization and human-computer interaction.

Wei Zeng is an assistant professor in Computational Media and Arts (CMA) Thrust, and jointly appointed in Data Science and Analytics (DSA) Thrust of Information Hub, the Hong Kong University of Science and Technology. His research focuses on data visualization, visual analytics, VR/AR, and deep learning. Before joining HKUST, He worked as an associate researcher at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, and a senior researcher and CIVAL coordinator at Future Cities Laboratory, ETH Zurich. He received both the bachelor and Ph.D. degree in computer sciences from the Nanyang Technological University.

Dongyu Liu is a PostDoc at MIT Schwarzman College of Computing. He was hosted by Dr. Kalyan Veeramachaneni in the Data To AI group within the Laboratory for Information and Decision Systems (LIDS). He received his Ph.D. in Computer Science and Engineering from the Hong Kong University of Science and Technology where he worked with Prof. Huamin Qu. His research focuses on innovating at the intersection of Machine Learning (ML), Visualization (VIS), and Human-Computer Interaction (HCI). He has published many papers at the top conferences on computer visualization and human-computer interaction.

Zhutian Chen is a Postdoctoral Research Fellow in the Visual Computing Group at Harvard University, collaborating with Prof. Hanspeter Pfister. He obtained his Ph.D. in Computer Science and Engineering from the Hong Kong University of Science and Technology, and worked with Prof. Qu Huamin at HKUST VisLab. His research aims to help users visualize and interact with data in an immersive environment through visual design, construction and evaluation of hybrid artificial intelligence systems. He has published numerous papers in the areas of computer visualization and human-computer interaction.

Yong Wang is an Assistant Professor at the School of Computing and Information Systems, Singapore Management University. His research interests include visual analysis, information visualization and machine learning. He has presented more than 30 high-level academic papers on the top conference and journal (TVCG, IEEE VIS, CHI, KDD). He won the Best Paper Award at ACM IUI in 2017, the Best Poster Award at IEEE VIS in 2019, and was selected into the "Innovation and Technology Fund Doctoral Talent Pool" of the Hong Kong Science and Technology Innovation Agency.

Jian Zhao is an Assistant Professor at the School of Computer Science, University of Waterloo, Canada. He worked as a Senior Research Scientist in the Enterprise AI group at FX Palo Alto Labs in California. His research involves information visualization, human-computer interaction and data science. He has published many high-level papers at the top conferences on computer visualization and human-computer interaction (IEEE VIS, ACM CHI)