Address: 508 E. University Ave., Champaign, Illinois
Education Background
University of Illinois Urbana-Champaign (UIUC), Urbana, US
Bachelor of Science in Computer Engineering
GPA: 4.0/4.0
Expected June 2025
Core Courses: Digital Signal Processing, Probability and Engineering Applications, Introduction to Computer Programming (LC-3 Assembly Language), Computer Systems Engineering (x86 Assembly, C Language), Introduction to Algorithms and Computational Models, Artificial Intelligence (Python), Machine Learning (Python)
Awards: Dean’s List (October 2023 & October 2022)
Zhejiang University (ZJU), Hangzhou, China
Bachelor of Science in Electric and Computer Engineering
GPA: 3.87/4.00
Expected June 2025
Core Courses: Discrete Mathematics, Linear Algebra and Its Computational Applications, Calculus, Introduction to Differential Equations, Introduction to Computation: Engineering and Science (Python, MATLAB), Computer Systems and Programming (LC-3 Assembly Language, C Language), Data Structures (C++)
Awards: ZJU Second-Class Scholarship (Oct 2023), Third-Class Scholarship (Oct 2022), ZJU-UIUC Institute First-Class Academic Excellence Award (Oct 2023), Third-Class Academic Excellence Award (Oct 2022)
Research Experience
Dynamic Learning Model Architecture in Deep Learning Processes, UIUC
Role: Independent Project Leader
Expected May 2024
Developed an approach to dynamically change the neural network architecture, including the number of convolutional kernels and activation functions during the training process, to generate random model architectures
Analyzed the adjusted model's output accuracy, stability of performance, as well as the model's spatial and temporal complexity, to further optimize the model architecture for improved overall performance
Implemented the dynamic adjustment mechanism using Python within the PyTorch framework, integrating the method into models used in academic papers to validate the effectiveness of the proposed approach
SoccerNet Image Recognition Competition, ZJU-UIUC Institute
Role: Main Member of the Action Recognition Group
Period: Feb 2023 – May 2023
Used time-series analysis methods to identify and precisely label key actions of multiple players in continuous frames of provided football match videos, including specific movements of the players and their exact locations on the field
Reviewed and tested code written by team members to ensure code quality and efficiency; responsible for code optimization to enhance program performance and stability
Graph Retrieval Based on Scene Graph Matching, ZJU
Role: Main Member
Period: June 2022 – July 2022
Employed convolutional neural network (CNN) technology to analyze input images, identified key features within the images, and determined the scenes depicted in the images; used these key features to search for images with similar scenes from the database, significantly improving the accuracy and efficiency of image retrieval
Collected and reviewed over 10 related papers, replicating some of the deep learning models presented in these papers; compared the Top-1 and Top-5 error rates with those of the models from the papers to evaluate and optimize the methods described in this thesis
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