Kecheng Lu

According to our database, Kecheng Lu authored at least 12 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Contrastive Learning for Large-scale Color-Name Dataset: Tackling Sparsity with Negative Sampling.

Kecheng Lu, Yue He, Yunhai Wang

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Color-Name Aware Optimization to Enhance the Perception of Transparent Overlapped Charts.

Kecheng Lu, Lihang Zhu, Yunhai Wang, Qiong Zeng, Weitao Song, Khairi Reda

IEEE Trans. Vis. Comput. Graph., September, 2025

Visualization-Driven Illumination for Density Plots.

Xin Chen, Yunhai Wang, Huaiwei Bao, Kecheng Lu, Jaemin Jo, Chi-Wing Fu, Jean-Daniel Fekete

IEEE Trans. Vis. Comput. Graph., February, 2025

ℂ3-palette: Co-saliency based colorization for comparing categorical visualizations.

Kecheng Lu, Xubin Chai, Yi Hou, Yunhai Wang

Comput. Graph., 2025

Bi-Scale density-plot enhancement based on variance-aware filter.

Huaiwei Bao, Xin Chen, Kecheng Lu, Chi-Wing Fu, Jean-Daniel Fekete, Yunhai Wang

Comput. Graph., 2025

Seeing Through the Overlap: The Impact of Color and Opacity on Depth Order Perception in Visualization.

Zhiyuan Meng, Yunpeng Yang, Qiong Zeng, Kecheng Lu, Lin Lu, Changhe Tu, Fumeng Yang, Yunhai Wang

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps.

Amey A. Salvi, Kecheng Lu, Michael E. Papka, Yunhai Wang, Khairi Reda

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Correlation-aware probabilistic data summarization for large-scale multi-block scientific data visualization.

Yang Yang, Kecheng Lu, Yu Wu, Yunhai Wang, Yi Cao

Comput. Vis. Media, September, 2023

Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots.

Kecheng Lu, Khairi Reda, Oliver Deussen, Yunhai Wang

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021

Palettailor: Discriminable Colorization for Categorical Data.

Kecheng Lu, Mi Feng, Xin Chen, Michael Sedlmair, Oliver Deussen, Dani Lischinski, Zhanglin Cheng, Yunhai Wang

IEEE Trans. Vis. Comput. Graph., 2021

2019

A unified framework for exploring time-varying volumetric data based on block correspondence.

Kecheng Lu, Chaoli Wang, Keqin Wu, Minglun Gong, Yunhai Wang

Vis. Informatics, 2019

2018

Revisiting Stress Majorization as a Unified Framework for Interactive Constrained Graph Visualization.

Yunhai Wang, Yanyan Wang, Yinqi Sun, Lifeng Zhu, Kecheng Lu, Chi-Wing Fu, Michael Sedlmair, Oliver Deussen, Baoquan Chen

IEEE Trans. Vis. Comput. Graph., 2018