<div dir="ltr"><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both">Dear Colleagues:</div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both"><br></div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both"><span class="gmail-il">IEEE</span> Computer Graphics and Applications plans a Sept. 2021 special issue on Deep Learning Powered Visualization, which advances visualization applications using deep learning techniques. The great success of deep learning techniques in computer vision, natural language processing, and speech recognition offers new opportunities for data visualization and analytics. We can leverage these technologies not only to recognize visual representations but also to understand analytical tasks.</div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both"><br></div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both"><div style="clear:both">Introducing deep learning techniques into visualization tasks, however, faces challenges. For example, high-quality training samples are hard to collect for allowing end-to-end deep learning techniques to work optimally. Unlike computer vision applications relying on natural images or videos, meaningful visualization content requires experts to generate and validate, which is extremely difficult to produce at scale. In addition, visualization content has clear contours and textures, which is different from natural images. Therefore, debates exist on the applicability of deep-learning techniques in visualization tasks.</div><div style="clear:both"><br></div><div style="clear:both">For this special issue, we are soliciting papers that describe algorithms, data structures, tools, and systems that use deep learning or facilitate the use of deep learning for visualization tasks. More specifically, we are looking for contributions that demonstrate the practical impact of deep learning on (but not limited to) the following topics:</div><div style="clear:both"><br></div><div style="clear:both">*  Dataset for visualization tasks</div><div style="clear:both">*  Data-driven quality metrics for visualization</div><div style="clear:both">*  Deep learning models and training schemes for visualization tasks</div><div style="clear:both">*  Predictive visual analytics</div><div style="clear:both">*  The creation and recommendation of visualization content</div><div style="clear:both">*  Understanding visualization-oriented natural language </div><div style="clear:both">*  Visualization captioning</div><div style="clear:both">*  Deep learning models for interactive visual analytics</div>*  Visualization for deep learning tasks</div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both"><br></div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both">===IMPORTANT DATES===<div></div>Submissions due: 25 February 2021</div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both">Publication: September/October 2021</div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both"><br></div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both">===GUEST EDITORS===</div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both">Siwei Fu, Zhejiang Lab<div style="clear:both">Jian Zhao, University of Waterloo</div><div style="clear:both">Chris Bryan, Arizona State University</div>Yingcai Wu, Zhejiang University<div></div><br></div><div style="color:rgb(0,0,0);font-family:Tahoma,Arial,STHeiti,SimSun;font-size:14px;clear:both">Check out <a href="https://www.computer.org/digital-library/magazines/cg/call-for-papers-special-issue-on-powering-visualization-with-deep-learning" target="_blank">https://www.computer.org/digital-library/magazines/cg/call-for-papers-special-issue-on-powering-visualization-with-deep-learning</a> for submission details. For further information, please contact <a href="mailto:cga5-2021@computer.org" target="_blank">cga5-2021@computer.org</a></div><div><br></div><div><br></div><div>Best,</div><div>Siwei</div><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr">Associate Research Scientist<br><div><br><div><span style="font-size:12.8px">Zhejiang Lab</span></div><div><br>Mobile: (+86) 18019761926  Email: <a href="mailto:siwei.fu@zhejianglab.com" target="_blank">siwei.fu@zhejianglab.com</a><br>Hangzhou, Zhejiang Province, China<br></div></div></div></div></div></div></div>