I am an incoming PhD student advised by Prof. Matt Brehmer and Prof. Jian Zhao at School of Computer Science, University of Waterloo. Previously, I got my bachelor's and master's degrees in Computer Science at ShanghaiTech University, supervised by Prof. Quan Li
I am with an open mind to explore my research potential in diverse avenues during my MCs study. Thus, I have dived into areas of Visual (& Immersive) Analytics, Hybrid User Interface, Theories/Methodologies, and Spatial Interaction Techniques. My current research interest in doctoral study converges towards - Mitigating tensions between humans and wearable agents in pervasive contexts through the integration of visualization and intelligence. Never hesitate to reach out if you see collaboration potentials!
I enjoy citypop and the mixed style of blues, soul, jazz, rock, and R&B music. I also like playing video games and reading novels that blend psychology and philosophy. I am a fan of Faye Wong, Izumi Sakai, and Reiko Ohara.
Action required
Problem: The current root path of this site is "baseurl ("_config.yml.
Solution: Please set the
baseurl in _config.yml to "Education
-
ShanghaiTech UniversityMaster in Computer Science (MCS)Sep. 2022 - Jun. 2025 -
ShanghaiTech UniversityBachelor in Computer Science (BCS)Sep. 2018 - Jun. 2022
Experience
-
Hong Kong University of Science and TechnologyResearch InternSep. 2024 - Mar. 2025
News
Recent & Selected Publications (view all )
OceanVive: An Immersive Visualization System for Communicating Complex Oceanic Phenomena
Ouyang Yang*, Yuchen Wu*, Xiyuan Wang, Laixin Xie, Weicong Cheng, Jianping Gan, Quan Li#, Xiaojuan Ma# (* equal contribution, # corresponding author)
IEEE VIS Conference 2025 VIS 2025 Short
we present OceanVive, an immersive and interactive visualization system that transforms complex ocean datasets into navigable spatial narratives. OceanVive incorporates an exploratory panel on a table-sized tablet for managing immersive content on a large screen and integrates adaptive visual encodings, contextual storytelling, and intuitive navigation pathways to support effective communication.
From Requirement to Solution: Unveiling Problem-Driven Design Patterns in Visual Analytics
Yuchen Wu, Shenghan Gao, Shizhen Zhang, Xiaofeng Dou, Xingbo Wang, Quan Li
IEEE Transactions on Visualization and Computer Graphics (TVCG) 2025 TVCG 2025
We formulated refined topologies for data, requirements, and solutions. We propose conceptualizing the connections between requirements, data, and solutions through knowledge graphs and utilizing solution paths to encapsulate fundamental problem-solving knowledge in visual analytics research. Through the consolidation of solution paths into a graph and analyzing their interconnections, we discerned a subset of problem-driven design patterns that demonstrated the efficacy of our approach.
Trinity: Synchronizing Verbal, Nonverbal, and Visual Channels to Support Academic Oral Presentation Delivery
Yuchen Wu, Shengxin Li, Shizhen Zhang, Xingbo Wang, Quan Li
International Symposium of Chinese CHI 2024 ChineseCHI 2024Best Paper
We introduce Trinity, a hybrid mobile-centric delivery support system that provides guidance for multichannel delivery on-the-fly. On the desktop side, Trinity facilitates script refinement and offers customizable delivery support based on large language models (LLMs). Based on the desktop configuration, Trinity App enables a remote mobile visual control, multi-level speech pace modulation, and integrated delivery prompts for synchronized delivery.