Kecheng Lu

17 papers A* 4Journal 13
YearRankTypeTitle / Venue / Authors
2026 A* conf
Contrastive Learning for Large-scale Color-Name Dataset: Tackling Sparsity with Negative Sampling.
CHI
Kecheng Lu, Yue He, Yunhai Wang
2025 J jnl
Bi-Scale density-plot enhancement based on variance-aware filter.
Comput. Graph.
Huaiwei Bao, Xin Chen, Kecheng Lu, Chi-Wing Fu, Jean-Daniel Fekete, Yunhai Wang
2025 J jnl
Color-Name Aware Optimization to Enhance the Perception of Transparent Overlapped Charts.
IEEE Trans. Vis. Comput. Graph.
Kecheng Lu, Lihang Zhu, Yunhai Wang, Qiong Zeng, Weitao Song, Khairi Reda
2025 A* conf
Seeing Through the Overlap: The Impact of Color and Opacity on Depth Order Perception in Visualization.
CHI
Zhiyuan Meng, Yunpeng Yang, Qiong Zeng, Kecheng Lu, Lin Lu, Changhe Tu, Fumeng Yang, Yunhai Wang
2025 J jnl
Visualization-Driven Illumination for Density Plots.
CoRR
Xin Chen, Yunhai Wang, Huaiwei Bao, Kecheng Lu, Jaemin Jo, Chi-Wing Fu, Jean-Daniel Fekete
2025 J jnl
Visualization-Driven Illumination for Density Plots.
IEEE Trans. Vis. Comput. Graph.
Xin Chen, Yunhai Wang, Huaiwei Bao, Kecheng Lu, Jaemin Jo, Chi-Wing Fu, Jean-Daniel Fekete
2025 J jnl
ℂ3-palette: Co-saliency based colorization for comparing categorical visualizations.
Comput. Graph.
Kecheng Lu, Xubin Chai, Yi Hou, Yunhai Wang
2024 A* conf
Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps.
CHI
Amey A. Salvi, Kecheng Lu, Michael E. Papka, Yunhai Wang, Khairi Reda
2024 J jnl
Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps.
CoRR
Amey A. Salvi, Kecheng Lu, Michael E. Papka, Yunhai Wang, Khairi Reda
2024 J jnl
Color-Name Aware Optimization to Enhance the Perception of Transparent Overlapped Charts.
CoRR
Kecheng Lu, Lihang Zhu, Yunhai Wang, Qiong Zeng, Weitao Song, Khairi Reda
2023 J jnl
Correlation-aware probabilistic data summarization for large-scale multi-block scientific data visualization.
Comput. Vis. Media
Yang Yang, Kecheng Lu, Yu Wu, Yunhai Wang, Yi Cao
2023 A* conf
Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots.
CHI
Kecheng Lu, Khairi Reda, Oliver Deussen, Yunhai Wang
2023 J jnl
Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots.
CoRR
Kecheng Lu, Khairi Reda, Oliver Deussen, Yunhai Wang
2021 J jnl
Palettailor: Discriminable Colorization for Categorical Data.
IEEE Trans. Vis. Comput. Graph.
Kecheng Lu, Mi Feng, Xin Chen, Michael Sedlmair, Oliver Deussen, Dani Lischinski, Zhanglin Cheng, Yunhai Wang
2020 J jnl
Palettailor: Discriminable Colorization for Categorical Data.
CoRR
Kecheng Lu, Mi Feng, Xin Chen, Michael Sedlmair, Oliver Deussen, Dani Lischinski, Zhanglin Cheng, Yunhai Wang
2019 J jnl
A unified framework for exploring time-varying volumetric data based on block correspondence.
Vis. Informatics
Kecheng Lu, Chaoli Wang, Keqin Wu, Minglun Gong, Yunhai Wang
2018 J jnl
Revisiting Stress Majorization as a Unified Framework for Interactive Constrained Graph Visualization.
IEEE Trans. Vis. Comput. Graph.
Yunhai Wang, Yanyan Wang, Yinqi Sun, Lifeng Zhu, Kecheng Lu, Chi-Wing Fu, Michael Sedlmair, Oliver Deussen, Baoquan Chen