About Me

Dr. Xin Chen is a Postdoctoral Researcher at the Key Laboratory of Data Engineering and Knowledge Engineering, Renmin University of China. His research focuses on developing efficient query and computational techniques to advance the visual analytics of large-scale datasets.

Interests
  • Information Visualization
  • Human-Computer Interaction
  • Big Data Analytics
Education

  • Ph.D. Computer Science and Technology

    Shandong University

  • B.Eng. Software Engineering

    Shandong University

Featured Publications
Visualization-Driven Illumination for Density Plots
Pyramid-based Scatterplots Sampling for Progressive and Streaming Data Visualization
Scatterplots

Pyramid-based Scatterplots Sampling for Progressive and Streaming Data Visualization

Results Parameter analysis on the Person Activity dataset [16] with the associated PDDr and ESRr scores (see Section 5). The orange dashed boxes and red dashed circles represent typical low- and medium-density regions, respectively. (a,b,c) A large λ results in more regions classified as low-density regions; (d,b,e) a large ω results in more display samples in low-density regions; (f) when λ and ω are both large, almost all low-density regions in the original scatterplot are kept but the data density ratios cannot be maintained; (b,g,h) decreasing stopLevel introduces more display samples; outliers in low-density regions can be shown more clearly but overplotting will have resulted.

Recent Publications
Huaiwei Bao, Xin Chen, Kecheng Lu, Chi-Wing Fu, Jean-Daniel Fekete, Yunhai Wang (2025). Bi-Scale Density-Plot Enhancement Based on Variance-Aware Filter. CAG.
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Xin Chen, Yunhai Wang, Huaiwei Bao, Kecheng Lu, Jaemin Jo, Chi-Wing Fu, Jean-Daniel Fekete (2025). Visualization-Driven Illumination for Density Plots. IEEE TVCG.
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Yunhai Wang, Yuchun Wang, Xin Chen, Yue Zhao, Fan Zhang, Eugene Wu, Chi-Wing Fu, Xiaohui Yu (2023). OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series. In ACM SIGMOD.
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Xin Chen, Jian Zhang, Chi-Wing Fu, Jean-Daniel Fekete, Yunhai Wang (2022). Pyramid-based Scatterplots Sampling for Progressive and Streaming Data Visualization. IEEE TVCG.
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Kecheng Lu, Mi Feng, Xin Chen, Michael Sedlmair, Oliver Deussen, Dani Lischinski, Zhanglin Cheng, Yunhai Wang (2021). Palettailor: Discriminable Colorization for Categorical Data. IEEE TVCG.
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Professional Services
  • Reviewer, EuroVis 2025