Information
Time: July 21, 2025 - Morning, 8:30 - 10:00
Location: Wenlan Hall B, 2F
Introduction
Youth scholars are at the forefront of innovation, facing unprecedented opportunities and challenges. This panel will focus on key issues in research and career development for young scholars, providing a platform for communication, collaboration, and growth. We will delve into common demands and challenges faced by young scholars in career planning, paper publication, project application, interdisciplinary collaboration, and share effective coping strategies and suggestions. Through this forum, we hope to provide young scholars with an opportunity to showcase themselves, broaden their horizons, and establish collaborations, jointly promoting innovation and development in the field of visualization.

Qing Chen
Tongji University
Speaker Bio: Qing Chen is an Associate Professor at both the College of Design and Innovation and Shanghai Center for Autonomous and Intelligent Systems, Tongji University. She is a doctoral supervisor and a high-level overseas talent in Shanghai, selected for the Shanghai Chenguang Program. She received her bachelor's and doctoral degrees from Zhejiang University and Hong Kong University of Science and Technology respectively. She was a postdoctoral researcher at INRIA (French National Institute for Research in Digital Science and Technology) and École Polytechnique. Her research interests include information visualization, big data analytics, human-computer interaction, generative AI and their applications in intelligent design, smart education, smart healthcare, and business intelligence. She has published over 30 papers in top international journals and conferences such as IEEE TVCG/VIS and ACM CHI, and received awards including the Second Prize of CSIG Natural Science Award and Silver Award of Hong Kong ICT Best Innovation Award. She serves on program committees of multiple international conferences in the VIS field and was the IEEE VIS Community Chair. She leads projects funded by the National Natural Science Foundation of China (Youth and General Programs), Shanghai Natural Science Foundation, Shanghai Education Commission, and Ministry of Education Industry-Academia Collaboration Programs, as well as multiple joint projects with companies like Ant Group, Tencent, and Zhipu AI.

Xingyu Lan
Fudan University
Speaker Bio: Xingyu Lan is a Young Associate Researcher at the School of Journalism and member of the Computing and Intelligent Communication Research Center, Fudan University. She is a Shanghai 'Chenguang Scholar'. Her research focuses on narrative visualization, user experience, information design, and intelligent communication. She has published papers in CCF-A journals and conferences such as IEEE VIS, IEEE TVCG, and ACM CHI, and serves as a reviewer for multiple SCI/SSCI journals and domestic core journals, as well as program committee member for international conferences. She has received academic awards including IEEE VIS Best Paper Award, Best Paper Nomination Award, IEEE PacificVis Best Paper Award, and CSIG Natural Science Award, as well as practical awards including First Prize in China Data Journalism Competition, Best Data News Gold Award in China Data Content Competition, and First Prize in China Digital Humanities Open Data Innovation Research Competition.

Quan Li
ShanghaiTech University
Speaker Bio: Quan Li is an Assistant Professor (tenure-track), Researcher, and doctoral supervisor at the School of Information Science and Technology, ShanghaiTech University. He conducts research in artificial intelligence and visual analytics, explainable machine learning, and human-computer interaction technologies. He received his PhD from the Department of Computer Science and Engineering at HKUST. He serves as a committee member of the CSIG Visualization and Visual Analytics Committee, IEEE VIS Paper Program Committee, ChinaVis International Program Committee, and reviewer for top conferences and journals including IEEE VIS, EuroVis, PacificVis, ChinaVis, ACM CHI/CSCW, and TVCG. He was previously a visiting researcher at Georgia Tech's School of Computer Science and Engineering, senior researcher at WeBank AI Department, and senior researcher at NetEase Games. His research has been published in top visualization and HCI journals and conferences including IEEE VIS, EuroVis, IEEE PacificVis, ACM CHI, CSCW, UIST, IUI, CGF, and TVCG. He received the ACM CHI 2025 Best Paper Award and leads a National Natural Science Foundation project.

Tan Tang
Zhejiang University
Speaker Bio: Tan Tang is a 'Hundred Talents Program' Researcher (doctoral supervisor) at the School of Art and Archaeology, Zhejiang University. She has published over 30 papers in top international conferences and journals in human-computer interaction, visualization, and virtual reality (such as IEEE TVCG, IEEE VIS/VR, ACM CHI/UIST), receiving multiple best paper nomination awards. As a member of the 'Complete Collection of Chinese Paintings Throughout History' exhibition planning team, she participated in the 60th Venice International Art Biennale Chinese National Pavilion project. Her work has been reported multiple times by authoritative media such as CCTV.

Yuxin Ma
Southern University of Science and Technology
Speaker Bio: Yuxin Ma is an Associate Professor and Researcher in the Department of Computer Science and Engineering at Southern University of Science and Technology. She received her bachelor's and doctoral degrees from the College of Computer Science and Technology at Zhejiang University, and was a postdoctoral researcher at the VADER Lab, Arizona State University. Her main research interests include data visualization, interactive data analysis, and human-computer interaction, including AI interpretability research based on data visualization methods, visual analytics methods for high-dimensional and spatiotemporal data, and interactive teaching and creative design systems combined with intelligent computing. She has published over 40 papers, including more than 10 full papers in top international journals and conferences such as IEEE TVCG, IEEE VIS, and ACM CHI. She has received awards including ACM CHI Best Paper Nomination, CVMJ Journal Annual Best Paper Nomination, and Lu Zengyong CAD&CG High-Tech Award, and participated in writing China's first monograph on data visualization.