cv

Basics

Name Shenghan Gao
Email gaoshh1@gmail.com
Phone +(86) 139-1849-9571
Url https://gaoshh711.github.io/
Summary Shenghan is a 4th CS B.Eng. supervised by Prof. Quan Li . His research interests focus on Data-driven Approaches to Human-centered Computing

Education

  • 2023.08 - 2023.12

    Berkeley, CA

    Exchange Student in EECS
    University of California, Berkeley
    Computer Science
    • Introduction to Software Engineering
    • ficient Algorithms and Intractable Problems(A+)
    • troduction to Artificial Intelligence
  • 2021.09 - 2025.07

    Shanghai, China

    Undergraduate
    ShanghaiTech University
    Computer Science
    • Human-Computer Interaction (A+)
    • Data Visualization
    • Data Mining
    • Introduction to Machine Learning (A+)
    • Algorithm and Data Structure

Publications

Projects

  • 2024.02 - 2024.06
    Which Comment should I Look? A Data Driven Analysis on Reviews from the Developers' Standpoint
    Shenghan Gao, Mingzheng Wu, Prof. Haipeng Zhang Supervising
    • Led a quantitative analysis of feature importance from the developers' perspective, using Steam as the case study.
    • Developed two indicators to assess the value of comments based on developers' reviews.
    • Employed traditional statistical methods, such as the Pearson correlation coefficient, alongside recommendation models and Explainable AI techniques like SHAP to quantify feature importance.
  • 2024.05 - 2024.06
    Which Comment should I Look? A Data Driven Analysis on Reviews from the Developers' Standpoint
    Shenghan Gao, Pengyu Long, Prof. Ziping Zhao Supervising
    • Developed an ensemble learning system to predict house prices, leveraging multiple machine learning models such as random forest, gradient boosting, and stacking methods.
    • Implemented feature engineering techniques, calculating feature covariances to optimize the selection of important variables impacting house prices.
    • Designed a multi-stage modeling pipeline, using both base models and meta-models to enhance accuracy through stacked generalization.
    • Applied cross-validation techniques to optimize hyperparameters and improve model performance, achieving a final predictive model with a score ranking in the top 5.5% on the Kaggle competition leaderboard.
  • 2023.04 - 2023.07
    DIVAS: A Visual Analysis System for Vehicle Driver Profiles
    Shenghan Gao, Shuhao Zhang, Xiaofeng Dou, Xiyuan Wang, Prof. Quan Li supervising
    • Conducted a comprehensive analysis of traffic participants’ driving behavior.
    • Designed a quantitative scoring system to evaluate driver profiles.
    • Developed DIVAS, an interactive visual analytics system to assist experts in profiling vehicle drivers.
    • Performed case studies showcasing the system’s effectiveness and usability.
    • Presented the project at ChinaVIS 2023 through an oral presentation.

Volunteer

  •
    Teaching Assistant
    ShanghaiTech University
    • GEHA 1101 - Cultural Interaction between the East and West along the Silk Road & Maritime Silk Road (2024.09 - 2025.01)
    • GEHA 1242 - Human-Animal Interaction (2024.07)
    • ARTS 1422 - Data Visualization (2024.02 - 2024.06)

Awards

Skills

Program Language
Javascript
Python
C
C++
Ruby
SQL
Framework
Vue
D3
jQuery
BootStrap
PyTorch
Rails
3D Modeling
Blender
Inventor
SolidWorks
Research
Human-Computer Interaction
Data Visualization
Data Mining
Machine Learning
Deep Learning
Agile Development

Languages

Madarin
Native speaker
English
Fluent (TOEFL: 102)