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SineStream : Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects

C. Bu, Q. Zhang, Q. Wang, J. Zhang, M. Sedlmair, O. Deussen, and Y. Wang. IEEE transactions on visualization and computer graphics, 27 (2): 1634-1643 (2021)
DOI: 10.1109/TVCG.2020.3030404

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Yue Wang University of Stuttgart

DuMux 3.4.0H. Wu, B. Becker, S. Burbulla, E. Coltman, S. Emmert, B. Flemisch, D. Gläser, C. Grüninger, K. Heck, J. Hommel and 18 other author(s). Software, (2021)

DuMux 3.4.0H. Wu, B. Becker, S. Burbulla, E. Coltman, S. Emmert, B. Flemisch, D. Gläser, C. Grüninger, K. Heck, J. Hommel and 18 other author(s). Software, (2021)DuMux 3.5.0Y. Wang, S. Ackermann, I. Buntic, H. Claß, E. Coltman, S. Emmert, B. Flemisch, D. Gläser, C. Grüninger, K. Heck and 16 other author(s). Software, (2022)DuMux 3.3.0K. Weishaupt, H. Claß, E. Coltman, S. Emmert, B. Flemisch, D. Gläser, C. Grüninger, K. Heck, T. Jupe, M. Kelm and 11 other author(s). Software, (2020)

Dr. rer. nat. Lei Wang University of Stuttgart

Zhe Wang University of Stuttgart

Dr. Dongren Wang University of Stuttgart

Xiao Wang University of Stuttgart

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A Template Protection Scheme For Statistic Feature-based 2D Face Recognition.Q. Wang, W. Huang, X. Niu, and X. Jiang. IIH-MSP, page 374-377. IEEE Computer Society, (2008)Narvis: Authoring Narrative Slideshows forIntroducing Data Visualization Designs.Q. Wang, Z. Li, S. Fu, W. Cui, and H. Qu. CoRR, (2019)Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline.Z. Chen, Y. Wang, Q. Wang, Y. Wang, and H. Qu. CoRR, (2019)Verifiable random functions with Boolean function constraints.Q. Wang, R. Feng, and Y. Zhu. SCIENCE CHINA Information Sciences, 61 (3): 039105:1-039105:3 (2018)Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline.Z. Chen, Y. Wang, Q. Wang, Y. Wang, and H. Qu. IEEE Trans. Vis. Comput. Graph., 26 (1): 917-926 (2020)DeepDrawing: A Deep Learning Approach to Graph Drawing.Y. Wang, Z. Jin, Q. Wang, W. Cui, T. Ma, and H. Qu. IEEE Trans. Vis. Comput. Graph., 26 (1): 676-686 (2020)Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation.Q. Wang, and M. Iwaihara. BigComp, page 1-4. IEEE, (2019)ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning.Q. Wang, Y. Ming, Z. Jin, Q. Shen, D. Liu, M. Smith, K. Veeramachaneni, and H. Qu. CHI, page 681. ACM, (2019)DeepDrawing: A Deep Learning Approach to Graph Drawing.Y. Wang, Z. Jin, Q. Wang, W. Cui, T. Ma, and H. Qu. CoRR, (2019)AutoBRB: An automated belief rule base model for pathologic complete response prediction in gastric cancer.J. Wu, Q. Wang, Z. Wang, and Z. Zhou. Comput. Biol. Medicine, (2022)