EDUCATION

University of Southern California

Bachelor of Science in Computer Engineering and Computer Science

• Honors: Inclusion in Dean's List, Engineering Honor Program; Achieved seventh place in the third 'Jittor AI Challenge' organized by Beijing National Research Center and the Joint Laboratory of Tsinghua University and Tencent
• Relevant Coursework: C++, Python, Data Structure and Object Oriented Design, Intro to Electrical Engineering, Discrete Math, Linear Algebra, Stanford CS231n (Deep Learning for Computer Vision) and CS229 (Machine Learning)
• Cohort in CAIS++ organization, the student branch of the USC Center for Artificial Intelligence in Society

TECHNICAL SKILLS

• Programming: C++, Python, MATLAB, etc.
• Web Development: HTML, CSS
• ML & DL Framework: Pytorch, MeshLab
• Other software: FDTD Optical Simulation Software, Microsoft Office Suite

WORK EXPERIENCE

Researcher in Computer Graphics, Computer Science and Technology Department

TSINGHUA UNIVERSITY, Beijing, China

• Investigated Large-Scale Unsupervised Semantic Segmentation Tasks using Python and Pytorch; Enhanced Mean Intersection over Union from 29 to 37 by replacing the ResNet backbone with SAM; Pioneered a novel task workflow
• Accomplished camera projection problem for rotational and translational adjustments
• Reproduced deep learning projects using Python and Pytorch, including image classification of cats and dogs, MNIST image denoising task using diffusion model, recognition of the MNIST handwritten dataset
• Continue research on implementing fragment assembly task using diffusion model - Ongoing

Course Producer for C++ Course, USC Viterbi School of Engineering

UNIVERSITY OF SOUTHERN CALIFORNIA, Los Angeles, USA

• Implemented automatic Jupyter Notebook launch functionality within the Vocareum platform for 100 students use; Self- taught the workings of Vocareum and integrated an automated grading system with Jupyter Notebook
• Accomplished the visualization work for the robotic arm project using Python
• Selected homework questions each week and addressed students C++-related questions during lab session and office hours

Test Engineer

BEIJING BOWEI DETECTION SERVICE CO., LTD, Beijing, China

• Familiarized with pre-test instrument preparation; Proficient in testing standards and procedures, including RS, CE, etc.
• Learned statistical knowledge for testing in the test laboratory, such as: how to preserve decimals and analyze uncertainties
• Mastered three main methods to reduce electromagnetic radiation, including adding magnetic rings, grounding, etc.

LEADERSHIP AND INVOLVEMENT

Cohort Member, USC Center for AI in Society's Student Branch (CAIS++), Los Angeles, USA

• Engage in weekly interactive learning sessions; Learn basics in machine learning models and neural network architectures, continuously enhancing proficiency in the field of artificial intelligence
• Develop Python and PyTorch coding notebooks for data preprocessing and the development of machine learning models

Group Leader and Researcher, NANYANG TECHNOLOGICAL UNIVERSITY, Singapore

• Read 10 papers on the development of lens design; Studied the design of nanophotonic artificial lens based on the neural network inverse design
• Mastered the application of FDTD optical simulation software to analyze the effects of different materials on phase difference and transmittance; Applied neural network to design artificial lens and passed the simulation experiment
• Completed a 22-page paper; Published in the 26th issue of the national scientific academic journal Science & Life in 2021