Visual Genealogy of Deep Neural Networks. - Qianwen Wang; Jun Yuan 003; Shuxin Chen; Hang Su 006; Huamin Qu; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2020)

A survey of visual analytics techniques for machine learning. - Jun Yuan 003; Changjian Chen; Weikai Yang; Mengchen Liu; Jiazhi Xia; Shixia Liu (Comput. Vis. Media, 2021)

OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples. - Changjian Chen; Jun Yuan 003; Yafeng Lu; Yang Liu 014; Hang Su 006; Songtao Yuan; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2021)

Evaluation of Sampling Methods for Scatterplots. - Jun Yuan 003; Shouxing Xiang; Jiazhi Xia; Lingyun Yu 001; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2021)

Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles. - Jun Yuan 003; Mengchen Liu; Fengyuan Tian; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2023)

A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers. - Zhen Li 044; Weikai Yang; Jun Yuan 003; Jing Wu 004; Changjian Chen; Yao Ming; Fan Yang; Hui Zhang 013; Shixia Liu (CoRR, 2024)

RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers. - Zhen Li 044; Weikai Yang; Jun Yuan 003; Jing Wu 004; Changjian Chen; Yao Ming; Fan Yang; Hui Zhang 013; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2025)