Yang Ouyang

Yang Ouyang

PhD Student in Visualization & HCI

Hello! I am currently pursuing my Ph.D. degree at the School of Information Science and Technology, ShanghaiTech University, advised by Prof. Quan Li. I also conducted a research visit at the Hong Kong University of Science and Technology, advised by Prof. Xiaojuan Ma. Previously, I took a research internship at Microsoft Research Asia, advised by Dr. Yun Wang.

My research interests include high‑dimensional data visualization, data storytelling, and visual analytics. My research goal is to support people in understanding high‑dimensional data and machine learning models by developing scalable visual interfaces and interpretable techniques.

Publications

  • OceanVive Teaser

    OceanVive: An Immersive Visualization System for Communicating Complex Oceanic Phenomena

    IEEE VIS 2025

    Yang Ouyang, Yuchen Wu, Xiyuan Wang, Laixin Xie, Weicong Cheng, Jianping Gan, Quan Li, Xiaojuan Ma

    PDF
  • PaperBridge Teaser

    PaperBridge: Crafting Research Narratives through Human-AI Co-Exploration

    ACM UIST 2025

    Runhua Zhang, Yang Ouyang, Leixian Shen, Yuying Tang, Xiaojuan Ma, Huamin Qu, Xian Xu

    PDF
  • NotePlayer Teaser

    NotePlayer: Engaging Jupyter Notebooks for Dynamic Presentation of Analytical Processes

    ACM UIST 2024

    Yang Ouyang, Leixian Shen, Yun Wang, Quan Li

    PDF
  • Sequelae Analysis Teaser

    A Two-Phase Visualization System for Continuous Human-AI Collaboration in Sequelae Analysis and Modeling

    IEEE VIS 2024

    Yang Ouyang, Chenyang Zhang, He Wang, Tianle Ma, Chang Jiang, Yuheng Yan, Zuoqin Yan, Xiaojuan Ma, Chuhan Shi, Quan Li

    PDF
  • KMTLabeler Teaser

    KMTLabeler: An Interactive Knowledge-Assisted Labeling Tool for Medical Text Classification

    IEEE TVCG 2024

    He Wang, Yang Ouyang, Yuchen Wu, Chang Jiang, Lixia Jin, Yuanwu Cao, Quan Li

    Link
  • Synthetic Lethality Benchmark Teaser

    Benchmarking Machine Learning Methods for Synthetic Lethality Prediction in Cancer

    Nature Communications 2024

    Yimiao Feng, Yahui Long, He Wang, Yang Ouyang, Quan Li, Min Wu & Jie Zheng

    Publisher
  • Medical Diagnostic Learning Teaser

    Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning

    IEEE VIS 2023

    Yang Ouyang, Yuchen Wu, He Wang, Chenyang Zhang, Furui Cheng, Chang Jiang, Lixia Jin, Yuanwu Cao, Quan Li

    PDF Link
  • Missing Data Teaser

    Towards Better Modeling With Missing Data: A Contrastive Learning-Based Visual Analytics Perspective

    IEEE TVCG 2023

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

    PDF
  • FSLens Teaser

    FSLens: A Visual Analytics Approach to Evaluating and Optimizing the Spatial Layout of Fire Stations

    IEEE VIS 2023

    Longfei Chen, He Wang, Yang Ouyang, Yang Zhou, Naiyu Wang, Quan Li

    PDF
  • RISeer Teaser

    RISeer: Inspecting the Status and Dynamics of Regional Industrial Structure via Visual Analytics

    IEEE VIS 2022

    Longfei Chen*, Yang Ouyang*, Haipeng Zhang, Suting Hong, Quan Li (*The authors contribute equally)

    PDF

Internships

  • [Oct. 2024 – Mar. 2025] Research Intern. Supervised by Xiaojuan Ma
    Hong Kong University of Science and Technology, Hong Kong, China.
  • [May 2023 – Dec. 2023] Research Intern. Advised by Yun Wang
    Microsoft Research Asia, Beijing, China.
  • [Aug. 2019 – Jun. 2020] Research Intern.
    Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China.

Services

  • Volunteer [2025]
    School Summer camp
  • Teaching Assistant [2022‑2023 Fall]
    Human-Computer Interaction
  • Volunteer [2021]
    School Open Day