Zhen Wen
Hi, I'm Zhen Wen, currently a fourth year Ph.D student at Zhejiang University, working under the supervision of Prof. Wei Chen (opens in a new tab) in the VAI Group (opens in a new tab).
My research interests encompass the domains of data visualization, quantum computing, and generative AI.
I am interested in enhancing software engineering workflows, both in the quantum and classical domains, by integrating data intelligence and interactive visualizations.
Publications
HammingVis: A Visual Analytics Approach for Understanding Erroneous Outcomes of Quantum Computing in Hamming Space
Jieyi Chen, Zhen Wen, Li Zheng, Jiaying Lu, Hui Lu, Yiwen Ren, Wei Chen
ChinaGraph/GMODGraphical Models (Proc. of ChinaGraph 2024), 2024
Exploring the Neural Landscape: Visual Analytics of Neuron Activation in Large Language Models with NeuronautLLM
Ollie Woodman, Zhen Wen, Hui Lu, Yiwen Ren, Minfeng Zhu, Wei Chen
ChinaGraph/GMODGraphical Models (Proc. of ChinaGraph 2024), 2024🏅ChinaGraph 2024 Best Paper
SPROUT: Authoring Programming Tutorials with Interactive Visualization of Large Language Model Generation Process
Yihan Liu, Zhen Wen, Luoxuan Weng, Ollie Woodman, Yi Yang, Wei Chen
TVCGIEEE Transactions on Visualization and Computer Graphics, 2024
Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis
Zhen Wen, Yihan Liu, Siwei Tan, Jieyi Chen, Minfeng Zhu, Dongming Han, Jianwei Yin, Mingliang Xu, Wei Chen
VIS/TVCGIEEE Transactions on Visualization and Computer Graphics (Proc. of IEEE VIS 2023), 2024
Effects of View Layout on Situated Analytics for Multiple-View Representations in Immersive Visualization
Zhen Wen, Wei Zeng, Luoxuan Weng, Yihan Liu, Mingliang Xu, Wei Chen
VIS/TVCGIEEE Transactions on Visualization and Computer Graphics (Proc. of IEEE VIS 2022), 2023
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning
Xumeng Wang, Wei Chen, Jiazhi Xia, Zhen Wen, Rongchen Zhu, Tobias Schreck
VIS/TVCGIEEE Transactions on Visualization and Computer Graphics (Proc. of IEEE VIS 2022), 2023
