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Weikai Yang (杨维铠)

About Me

Hi, I am Weikai (Vica) Yang (杨维铠), a 5th-year Ph.D. student in Software Engineering, Tsinghua University, advised by Prof. Shixia Liu. Prior to that, I was an undergraduate student at Tsinghua University, where I majored in Software Engineering(2015-2019) and minored in Statistics(2017-2019).
My research interests lie in integrating Machine Learning into Visual Analytics, which can facilitate the understanding of large-scale data and make it easier for practitioners to use machine learning techniques.

Publications

Cluster Aware Grid Layout

Yuxing Zhou*; Weikai Yang*; Jiashu Chen; Changjian Chen; Zhiyang Shen; Xiaonan Luo; Lingyun Yu; Shixia Liu.

TVCGIEEE Transactions on Visualization and Computer Graphics. 2024.


A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision

Changjian Chen; Yukai Guo; Fengyuan Tian; Shilong Liu; Weikai Yang; Zhaowei Wang; Jing Wu; Hang Su; Hanspeter Pfister; Shixia Liu.

TVCGIEEE Transactions on Visualization and Computer Graphics. 2024.


Visual Analytics Research for Improving Training Data Quality (in Chinese)

Weikai Yang; Changjian Chen; Jiangning Zhu; Lei Li; Peng Liu; Shixia Liu.

CAD/CGCCF CAD/CG. 2023.

pdf

Diagnosing Ensemble Few-Shot Classifiers

Weikai Yang; Xi Ye; Xingxing Zhang; Lanxi Xiao; Jiazhi Xia; Zhongyuan Wang; Jun Zhu; Hanspeter Pfister; Shixia Liu.

TVCGIEEE Transactions on Visualization and Computer Graphics. 2022.


A Unified Understanding of Deep NLP Models for Text Classification

Zhen Li; Xiting Wang; Weikai Yang; Jing Wu; Zhengyan Zhang; Zhiyuan Liu; Maosong Sun; Hui Zhang; Shixia Liu.

TVCGIEEE Transactions on Visualization and Computer Graphics. 2022.


The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification

Xingxing Zhang; Zhizhe Liu; Weikai Yang; Liyuan Wang; Jun Zhu.

MMACM International Conference on Multimedia. 2022.


Interactive Steering of Hierarchical Clustering

Weikai Yang; Xiting Wang; Jie Lu; Wenwen Dou; Shixia Liu.

TVCGIEEE Transactions on Visualization and Computer Graphics. 2021.


Diagnosing Concept Drift with Visual Analytics

Weikai Yang; Zhen Li; Mengchen Liu; Yafeng Lu; Kelei Cao; Ross Maciejewski; Shixia Liu.

VASTIEEE Visualization Conference (VAST). 2020.


A Survey of Visual Analytics Techniques for Machine Learning

Jun Yuan; Changjian Chen; Weikai Yang; Mengchen Liu; Jiazhi Xia; Shixia Liu.

CVMComputational Visual Media. 2020.


Why AI Fails: Parallax

Lanxi Xiao; Weikai Yang; Haoze Wang; Shixia Liu; Qiong Wu.

XAIxArtsThe International Workshop on eXplainable AI for the Arts at the ACM Creativity and Cognition Conference. 2023.


Why AI Fails: Shortcut

Lanxi Xiao; Weikai Yang; Haoze Wang; Shixia Liu; Qiong Wu.

XAIxArtsThe International Workshop on eXplainable AI for the Arts at the ACM Creativity and Cognition Conference. 2023.


Selected Awards

  • 2022 Outstanding Teaching Assistant Award of Tsinghua University
  • 2019 Outstanding Undergraduate of Tsinghua University (2%)
  • 2019 Outstanding Undergraduate of Beijing (5%)
  • 2017 Qualcomm Scholarship
  • 2017 National Scholarship

Timeline

  • 2022.06
    • Our paper “Diagnosing Ensemble Few-Shot Classifiers” was accepted by IEEE TVCG.
    • Our paper “A Unified Understanding of Deep NLP Models for Text Classification” was accepted by IEEE TVCG.
    • Our paper “The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification” was accepted by ACM MM.
  • 2021.10
    • Passed the Ph.D. qualifying exam.
  • 2021.09
    • Enrolled into School of Software, Tsinghua University as a Ph.D. student.
    • Advised by Prof. Shixia Liu.
  • 2020.09
    • Our paper “Concept Drift with Visual Analytics” was accepted by IEEE VAST 2020.
  • 2020.08
    • Our paper “A Survey of Visual Analytics Techniques for Machine Learning” was accepted by Springer CVM.
  • 2020.05
    • Our paper “Interactive Steering of Hierarchical Clustering” was accepted by IEEE TVCG.
  • 2019.08
    • Enrolled into School of Software, Tsinghua University as a master student.
    • Advised by Prof. Shixia Liu.
  • 2019.07
    • Graduated from Tsinghua University as a Bachelor in Engineering.
    • Bachelor thesis: Constrained Hierarchical Clustering and Interactive Steering Techniques.
  • 2018.02
    • Joined CG&CAD Lab, School of Software, Tsinghua University.
    • Started research about visual analytics.
    • Advised by Prof. Shixia Liu.
  • 2016.06
    • Transferred to School of Software, Tsinghua University.
  • 2015.09
    • Enrolled into Department of Chemical Engineering, Tsinghua University as a bachelor student.
  • 2012.09 - 2015.07
    • Highschool student at Affiliated High School of South China Normal University.

Miscellaneous

  • I participated in the development of Human’: Ethical Reflection on Future Cyberworld Identity, a work of art that disucsses the cyberworld and our identity.
  • I enjoyed sprint (12.11s/100m, 25.39s/200m). However, it is not enough to get a medal in Ma Yuehan’s Cup, which is one of my regrets.
  • I have been a volunteer for Drop-in Tutoring for STEM Courses in Tsinghua University since 2015. I also made a lot of friends through this programs.