Revisiting Stress Majorization as a Unified Framework for Interactive Constrained Graph Visualization. - Yunhai Wang; Yanyan Wang; Yinqi Sun; Lifeng Zhu; Kecheng Lu 002; Chi-Wing Fu; Michael Sedlmair; Oliver Deussen; Baoquan Chen (IEEE Trans. Vis. Comput. Graph., 2018)

A unified framework for exploring time-varying volumetric data based on block correspondence. - Kecheng Lu 002; Chaoli Wang 001; Keqin Wu; Minglun Gong; Yunhai Wang (Vis. Informatics, 2019)

Palettailor: Discriminable Colorization for Categorical Data. - Kecheng Lu 002; Mi Feng; Xin Chen 075; Michael Sedlmair; Oliver Deussen; Dani Lischinski; Zhanglin Cheng; Yunhai Wang (IEEE Trans. Vis. Comput. Graph., 2021)

Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots. - Kecheng Lu 002; Khairi Reda; Oliver Deussen; Yunhai Wang (CHI, 2023)

Correlation-aware probabilistic data summarization for large-scale multi-block scientific data visualization. - Yang Yang 065; Kecheng Lu 002; Yu Wu; Yunhai Wang; Yi Cao 005 (Comput. Vis. Media, 2023)

Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps. - Amey A. Salvi; Kecheng Lu 002; Michael E. Papka; Yunhai Wang; Khairi Reda (CHI, 2024)

Seeing Through the Overlap: The Impact of Color and Opacity on Depth Order Perception in Visualization. - Zhiyuan Meng; Yunpeng Yang; Qiong Zeng; Kecheng Lu 002; Lin Lu 001; Changhe Tu; Fumeng Yang; Yunhai Wang (CHI, 2025)

Bi-Scale density-plot enhancement based on variance-aware filter. - Huaiwei Bao; Xin Chen 075; Kecheng Lu 002; Chi-Wing Fu; Jean-Daniel Fekete; Yunhai Wang (Comput. Graph., 2025)

ℂ3-palette: Co-saliency based colorization for comparing categorical visualizations. - Kecheng Lu 002; Xubin Chai; Yi Hou; Yunhai Wang (Comput. Graph., 2025)

Visualization-Driven Illumination for Density Plots. - Xin Chen 075; Yunhai Wang; Huaiwei Bao; Kecheng Lu 002; Jaemin Jo; Chi-Wing Fu; Jean-Daniel Fekete (IEEE Trans. Vis. Comput. Graph., 2025)

Color-Name Aware Optimization to Enhance the Perception of Transparent Overlapped Charts. - Kecheng Lu 002; Lihang Zhu; Yunhai Wang; Qiong Zeng; Weitao Song; Khairi Reda (IEEE Trans. Vis. Comput. Graph., 2025)

Contrastive Learning for Large-scale Color-Name Dataset: Tackling Sparsity with Negative Sampling. - Kecheng Lu 002; Yue He 001; Yunhai Wang (CHI, 2026)