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

Enhancing Single Frame Supervision for Better Temporal Action Localization

Changjian Chen; Jiashu Chen; Weikai Yang; Haoze Wang; Johannes Knittel; Xibin Zhao; Steffen Koch; Thomas Ertl; Shixia Liu.

TVCGIEEE Transactions on Visualization and Computer Graphics.


Interactive Reweighting for Mitigating Label Quality Issues

Weikai Yang; Yukai Guo; Jing Wu; Zheng Wang; Lan-Zhe Guo; Yu-Feng Li; Shixia Liu.

TVCGIEEE Transactions on Visualization and Computer Graphics.



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

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

JCADCCF Journal of Computer-Aided Design & Computer Graphics. 2023.


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.



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.


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.


Talks

  • [Apr. 2024] On Data-Centric Visual Analytics for Machine Learning @ HKUST
  • [Apr. 2024] On Data-Centric Visual Analytics for Machine Learning @ HKUST-GZ Link
  • [Nov. 2023] On Sample Representativeness-based Visual Analytics for Analyzing and Improving Model Performance @ The China-R Conference Link Slide Video

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 (1%)

Timeline

  • 2023.12
    • Our paper “Interactive Reweighting for Mitigating Label Quality Issues” was accepted by IEEE TVCG.
    • Our paper “Enhancing Single-Frame Supervision for Better Temporal Action Localization” was accepted by IEEE PacificVis 2024 TVCG journal track.
  • 2023.11
    • Our paper “Foundation Models Meet Visualizations: Challenges and Opportunities” was accepted by CVMJ.
    • Our paper “Visual Analytics Research for Improving Training Data Quality” was accepted by CCF JCAD.
  • 2023.06
    • Our paper “Cluster-Aware Grid Layout” was accepted by IEEE VIS 2023.
    • Our paper “A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision” was accepted by IEEE VIS 2023.
    • Our paper “Visual Analytics Research for Improving Training Data Quality” was accepted by CCF CAD/CG 2023.
  • 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.

Services

  • PC Member
    • AAAI (2023-2024)
  • Conference Reviewer
    • IEEE VIS (2021-2024)
    • PacificVis (2022-2024)
    • ChinaVis (2020-2023)
    • IUI (2024)
  • Journal Reviewer
    • IEEE TVCG (2022-)
    • Visual Informatics (2022-)
  • Student Volunteer: IEEE VIS (2020, 2022, 2023)
  • Teaching Assistantships
    • Discrete Mathematics I: Mathematical Logic and Set Theory (Fall, 2019-2024)
    • Discrete Mathematics II: Graph Theory and Abstract Algebra (Spring, 2019-2024)
    • Information Visualization and Visual Analytics (Fall, 2020-2024)

Miscellaneous