Resume

General Information

Full Name Jack He
Email jackhe313@ucla.edu
Mobile 424-832-6703
Location Los Angeles, CA 90024

Education

  • 2021.9 - 2025.6
    Bacholar of Science, Computer Science | Applied Mathematics
    University of California - Los Angeles
    • GPA: 3.92
    • Honor: Dean's Honors List, 8th place in UCLA ACM-ICPC Algorithms Contest (Jan 2022)
    • Core Courses: Machine Learning, Advanced Deep Learning & Neural Network, Computer Vision, Reinforcement Learning, Natural Language Processing, Data Structure, Algorithms, Linear Algebra, Optimization, Probability and Statistics

Research and Work Experience

  • 2024.3 - Pres
    Student Researcher
    UCLA Prof. Bolei Zhou's Group
    • Applied large scale object extraction via GPT-4o, Grounded Dino, and Grounded SAM in real-world.
    • Reproduced real-world object distribution in Embodied AI simulation platform, MetaUrban.
    • Integrated MetaUrban into Nvidia's Isaac Lab, successfully transferring and optimizing digital-human assets.
  • 2023.3 - Pres
    Student Researcher
    UCLA Computational Machine Learning Lab
    • Conducted analysis of data memorization in generative models (DDPM, GAN), focusing on the layer-wise distribution of memorization scores using Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs) encoders.
    • Developed a novel training-free fingerprinting method for identifying generative models' architecture, leveraging layer-wise memorization score distributions, achieving SOTA performance on model identification accuracy.
  • 2022.5 - 2022.8
    Trip Budget Planning Web App
    Software Product Sprint Participant, Google
    • Developed a trip budget planning web app using Java, JavaScript, and HTML/CSS, improving data storage efficiency by 30% with Google Cloud integration.
    • Focused on backend development and coordinated with the front-end team to create functionalities for efficient storage of user, trip, event, and budget data, doubling the system's capacity and boosting performance by 90%.

Projects

  • 2024.1 - 2024.3
    Text-Guided Image Editing Framework
    • Developed an end-to-end image generation and editing framework using PyTorch.
    • Introduced a training-free, text-guided semantic object segmentation method utilizing DiffEdit (Diffusion-based semantic image editing), BLIP, and other text-to-image models, achieving state-of-the-art capabilities.
  • 2024.2 - 2024.3
    EEG Signal Classification Models Analysis
    • Explored various architectures for EEG (Electroencephalography) signal analysis, including CNN, RNN, Transformers, and hybrid models to resolve the complex patterns of brain neural activities.
    • Evaluated the impact of various hyperparameters and augmentation, improving classification accuracy by 15%.
  • 2024.1 - 2024.3
    Fairness and Factuality of LLM
    • Embarked on evaluating and enhancing the performance of Large Language Models in detecting fairness and factuality in textual claims, centered on Phi-2, Mistral-7B, and utilized GPT-3.5-Turbo for evidence generation.

Technical Skills

Programming Languages Python, C/C++, Java, JavaScript, SQL, HTML/CSS, MATLAB, R.
Frameworks & Libraries PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Node.js, React.
Tools Latex, Git, Shell, AWS, Docker, Google Cloud Platform, Azure.