Research Collaboration

Collaborator National University of Singare (NUS)

Project Big Data Management System epic Development

Co-developed by Beng Chin Ooi, Kian-Lee Tan, Anthony K.H. TUNG (NUS) and Chen Chun, Chen Gang, Shou Lidan, Wu Sai (ZJU)

This project is co-developed by faculty from NUS School of Computing and ZJU CCST, and sponsored by the Ministry of Education. Epic (Elastic, Power-aware, data-Intensive Cloud platform) is an efficient multi-tenancy cloud system for supporting high throughout low latency transactions and high performance reliable query processing, with online analytics capability. Its performance has exceeded that of traditional big data system Hadoop by 2-10 times and Google’s Pregel2 by 2 times. The related research paper has won Best Paper Award in top conference in database VLDB2014, and the project has received funding from China's National Development Plan for key fundamental research (973 Plan).


Collaborator Caltech and Michigan State University

Project Geometric Optimization and Simulation of Complex Physical Objects

Co-developed by Bao Hujun, Huang Jin (ZJU), Mathieu Desbrun (Caltech), and Yiying Tong(Michigan State University) and other faculty members

This research aims at investigating the geometric optimized representation of complex objects, and simulation methods for physical process that are highly efficient and controllable. It is carried out with the joint effort of faculty from ZJU, Caltech, and Michigan State University, and received NSFC (National Natural Science Foundation of China) funding for major international cooperation project.


Collaborator Columbia University

Project Hydrographics and 3D Printing Technology

Co-developed by Prof. Zhou Kun, State Key Lab of CAD&CG and Columbia University

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With the collaboration from the State Key Lab of CAD&CG and Columbia University, the research team innovatively proposed hydrographics technology, which is the first solution to the global challenge of accurate coloring of 3D objects. Through dimension reduction and physical modeling, this technology can greatly increase the coloring accuracy while maintaining high efficiency. It serves as a key technology for 3D printing in the Industrial 4.0 era. Relevant paper is published in ACM SIGGRAPH, a top conference in computer graphics. This technology has also received great media coverage in the US, and draws much attention for its industry application potential. 


Collaborator CMU, UIUCUBCNational Library of GermanyUniversity of Cambridge, Oxford University, National Research Center of France, and KTH Royal Institute of Technology

Project China-US Million Book Digital Library Project (CADAL)

Hosted by Prof. Pan Yunhe (ZJU) and Prof. Raj Reddy (CMU)

Funded by both China and US government, the objective of this project is to digitalize 1 million books to preserve and disseminate knowledge. 30+ universities and institutions participated in this project, such as CMU, UIUC,UBCNational Library of GermanyUniversity of Cambridge, Oxford University, National Research Center of France, and KTH Royal Institute of Technology.


Other Research Collaborations

include but not limit to:

Collaborator Bournemouth University

Project Role Modeling and Animation Integration Technology based on Physics

Collaborator Aalborg University, Denmark

Project Spatial Trajectories Management and Application

Collaborator Huston University

Project Facial Animation Algorithm based on cloud computing

Collaborator University of Stuttgart, Germany

Project Online Visual Analytics for Text Flow

Collaborator NUS and A-Star I2R Research Institute

Project Multisource heterogeneous trajectory big data Integrated Analysis


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