%0 Journal Article %1 tang2021plotthread %A Tang, Tan %A Li, Renzhong %A Wu, Xinke %A Liu, Shuhan %A Knittel, Johannes %A Koch, Steffen %A Ertl, Thomas %A Yu, Lingyun %A Ren, Peiran %A Wu, Yingcai %D 2021 %I IEEE %J IEEE transactions on visualization and computer graphics %K ubs_10005 ubs_20008 ubs_30086 ubs_40129 unibibliografie wos %N 2 %P 294-303 %R 10.1109/TVCG.2020.3030467 %T PlotThread : Creating Expressive Storyline Visualizations using Reinforcement Learning %V 27

@article{tang2021plotthread, added-at = {2022-03-28T17:34:16.000+0200}, affiliation = {Wu, YC (Corresponding Author), Zhejiang Univ, Zhejiang Lab, Hangzhou, Peoples R China. Wu, YC (Corresponding Author), Zhejiang Univ, Stare Key Lab CAD&CG, Hangzhou, Peoples R China. Tang, Tan; Li, Renzhong; Wu, Xinke; Liu, Shuhan; Wu, Yingcai, Zhejiang Univ, Zhejiang Lab, Hangzhou, Peoples R China. Tang, Tan; Li, Renzhong; Wu, Xinke; Liu, Shuhan; Wu, Yingcai, Zhejiang Univ, Stare Key Lab CAD&CG, Hangzhou, Peoples R China. Knittel, Johannes; Koch, Steffen; Ertl, Thomas, Univ Stuttgart, VIS VISUS, Stuttgart, Germany. Yu, Lingyun, Xian Jiaotong Liverpool Univ, Dept Comp Sci & Software Engn, Suzhou, Peoples R China. Ren, Peiran, Alibaba Grp, Hangzhou, Peoples R China.}, author = {Tang, Tan and Li, Renzhong and Wu, Xinke and Liu, Shuhan and Knittel, Johannes and Koch, Steffen and Ertl, Thomas and Yu, Lingyun and Ren, Peiran and Wu, Yingcai}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f8891466d117ece4df76a89059aa0d3b/unibiblio}, doi = {10.1109/TVCG.2020.3030467}, interhash = {610c048e842ebdb596fddcd1098f3559}, intrahash = {f8891466d117ece4df76a89059aa0d3b}, issn = {{1077-2626} and {1941-0506}}, journal = {IEEE transactions on visualization and computer graphics}, keywords = {ubs_10005 ubs_20008 ubs_30086 ubs_40129 unibibliografie wos}, language = {eng}, number = 2, pages = {294-303}, publisher = {IEEE}, research-areas = {Computer Science}, timestamp = {2022-03-28T15:34:16.000+0200}, title = {PlotThread : Creating Expressive Storyline Visualizations using Reinforcement Learning}, unique-id = {ISI:000613746500004}, volume = 27, year = 2021 }