Projects

A Multi-Stage Learning Framework for Credit Card Spending Prediction, Risk Segmentation, and Limit Recommendation
A Multi-Stage Learning Framework for Credit Card Spending Prediction, Risk Segmentation, and Limit Recommendation
Champaign, IL

Mar 2025

  • Built time series models with rich feature engineering for spending prediction
  • Applied clustering techniques with neural network autoencoder-based dimensionality reduction
  • Designed a hybrid rule-based & Random Forest recommendation system for credit limit adjustment
  • Delivered actionable insights for low-risk growth and risk control
Presentation (YouTube) Presentation (BiliBili) GitHub
Interpretable Spatiotemporal Neural Networks for EEG-Based Bilingual Proficiency Prediction
Interpretable Spatiotemporal Neural Networks for EEG-Based Bilingual Proficiency Prediction
Champaign, IL

Nov 2024

  • Analyzed EEG(electroencephalography) signals, identifying peak activity in bilinguals for efficient language processing
  • Developed a CNN-LSTM model using EEG data to predict bilingual proficiency, capturing spatial and temporal brain activity patterns
  • Used Integrated Gradients to identify key brain regions in language processing
Presentation (YouTube) Presentation (BiliBili)
Car Sales Recommendation System
Champaign, IL

Feb 2024 – May 2024

  • Processed demographic and car data for prediction model
  • Applied multiple ML algorithms to predict car features based on demographics
  • Built user interface for car dealerships
Non-destructive and Efficient Prediction of Intramuscular Fat in Live Pigs Based on Ultrasound Images and Machine Learning
Non-destructive and Efficient Prediction of Intramuscular Fat in Live Pigs Based on Ultrasound Images and Machine Learning
Nanjing, China

Aug 2023 – Dec 2023

  • Developed predictive models for pig IMF based on ultrasound images
  • Applied non-invasive methods to aid genetic improvement in pork
  • Contributed to research paper drafting
Impact of Maternal Physical and Mental Health on Infant Development - A Machine Learning and Optimization Model Approach
Impact of Maternal Physical and Mental Health on Infant Development - A Machine Learning and Optimization Model Approach
Shanghai, China

Aug 2023

  • Used ML algorithms to analyze maternal health impacts on infant development
  • Developed optimization model for treatment costs
  • Applied evaluation methods for intervention prioritization
Innovative Development of an IRB Robotic Arm Replica and a Bluetooth Control Model
Shanghai, China

Feb 2023 - May 2023

  • Designed robotic arm components using SolidWorks and 3D printing
  • Assembled the robotic arm with standard parts
  • Developed Bluetooth control system
Oil Temperature and Pressure Control System
Shanghai, China

Nov 2021 - Jan 2022

  • Developed automated control system using LabVIEW
  • Implemented real-time monitoring and adjustments
  • Enhanced system reliability through automation