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.
π₯ News
- 2023.07: Β ππ A poster Understanding Auto-Scheduling Optimizations for Model Deployment via Visualizations is accepted by VISβ23.
π Publications
CHI 2022
![sym](images/chi22.png)
RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics
Laixin Xie, Ziming Wu, Peng Xu, Wei Li, Xiaojuan Ma, Quan Li
- 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
![sym](images/tvcg23.png)
Towards Better Modeling With Missing Data: A Contrastive Learning-Based Visual Analytics Perspective
Laixin Xie, Yang Ouyang, Longfei Chen, Ziming Wu, Quan Li
- 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.
- VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization, Yun Tian, He Wang, Laixin Xie, Xiaojuan Ma, Quan Li, Chinese CHI 2022
- Object Detection of NAO Robot Based on a Spectrum Model, Laixin Xie, Chunhua Deng, ICIC 2018
- Dimensionality Deduction for Action Proposals: To Extract or to Select?, Jian Jiang, Haoyu Wang, Laixin Xie, Junwen Zhang, Chunhua Deng, ICIC2018
π Educations
- 2020.09 - present, PhD, ShanghaiTech University, Shanghai
- 2015.09 - 2019.06, Undergraduate, Wuhan University of Science and Technology, Wuhan
π» 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