Laixin is currently pursuing Ph.D. degree (supervised by Quan Li) at the School of Information Science and Technology, ShanghaiTech University.

My research interests span Social Network in Game and VIS4HPC (addressing HPC challengs via visual analytics approach). I design and implement visual analytics systems, deep learning algorithms (GNN, temporal models, interpretability methods), and empirical studies aimed at enhancing AI’s ability to serve human needs.

I am currently on the job market. If you have any relevant positions or opportunities, please feel free to reach out to me via email.

πŸ”₯ News

πŸ“ Publications

CHI 2022
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RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics

Laixin Xie, Ziming Wu, Peng Xu, Wei Li, Xiaojuan Ma, Quan Li

Video | Arxiv

  • Researched on the informal social role in MMORPGs, cooperating with Tencent and Netease.
  • Developed an adapted dynamic network embedding method to identify the potential informal roles from the perspective of behavioral interaction analysis
  • Proposed a visual analytics system named RoleSeer to investigate the informal roles from the perspectives of behavioral interactions and depict their dynamic interconversions and transitions.
TVCG 2023
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Towards Better Modeling With Missing Data: A Contrastive Learning-Based Visual Analytics Perspective

Laixin Xie, Yang Ouyang, Longfei Chen, Ziming Wu, Quan Li

Video | Arxiv | Github

  • Researched how to leverage contrastive learning to address missing data, cooperating with Tencent.
  • Proposed a contrastive learning-based framework, allowing label prediction with the presence of data missing and without any imputation.
  • Further developedd a visual analytics system, CIVis to understand the training process of contrastive learning and iterative refinement.

πŸ“– Educations

  • 2020.09 - present, PhD, ShanghaiTech University, Shanghai
  • 2015.09 - 2019.06, Undergraduate, Wuhan University of Science and Technology, Wuhan

πŸ’» Internships

  • 2021.12 - 2022.6, Interactive Entertainment Group (IEG) in Tencent (Supervised by Ziming Wu), Shenzhen
  • 2022.11 - 2023.9, User eXperience (UX) in Netease, Shanghai
  • 2023.09 - present, Hong Kong University of Science and Technology (HKUST), Supervised by Xiaojuan Ma, Hong Kong