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

My research interests include Explainable AI and Human-in-the-loop ML, particularly within the realm of Social Computing. I develop visual analytics systems with innovative AI models to enhance the interpretability of AI-related applications and make them more user-friendly.

πŸ”₯ News

πŸ“ Publications

CHI 2022

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

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