Shaolun RUAN (阮劭伦) is currently a Ph.D. candidate of Computer Science at Singapore Management University, under the supervision of Assistant Professor Yong WANG. Before that, he received his bachelor degree from University of Electronic Science and Technology of China majoring in Information Security at School of Computer Science and Engineering in 2019. From 2020 to 2021, he worked as a Research Assistant at Kent State University, U.S. His major research interests include Data Visualization, Human-Computer Interaction and Quantum Computing.
Passed the Ph.D. Qualifying Exam and became a Ph.D. candidate!
- November 2022
Our paper VACSEN was accepted by IEEE VIS'22! See you in Oklahoma City!
- July 2022
Our tutorial was accepted by IEEE QCE'22! See you in Broomfield, Colorado.!
- May 2022
Our paper BatchLens was accepted by IEEE DATE'22 as the 1st author!
- November 2021
My paper Intercept Graph was accepted by IEEE VIS'21 as the 1st author!
- July 2021
Updated the IELTS overall bands to 7.0.
- November 2020
Graduated from University of Science and Tech. of China and get a Bachelor's degree.
- July 2019
Completed Engligh Language Academy at the University of Auckland, New Zealand.
- August 2017
Became a Visiting Student at the Univeristy of Melbourne, Australia.
- June 2017
Ph.D. Candidate School of Computing and Information Systems, SMU, Singapore.
from Jan. 2022
Research Assistant Department of Art and Science, Kent State University, U.S.
July 2019 - Sept. 2021
Bachelar's Degree Candidate University of Electronic Science and Technology of China, Chengdu, China.
Sept. 2015 - July 2019
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing
Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
IEEE Transactions on Visualization and Computer Graphics (TVCG 2022).
Intercept Graph: An Interactive Radial Visualization for Comparison of State Changes
Shaolun Ruan, Yong Wang, Qiang Guan
Proceedings of IEEE VIS (VIS 2021).
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems
Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu and Qiang Guan
Proceedings of Design, Automation and Test in Europe Conference (DATE 2022).