About Me
Welcome! I am a first-year MSCS student at UCSD. Before this, I got my Bachelor's degree at UCSD double majored in Computer Science and Cognitive Science Specialized in Machine Learning with 3.968/4 GPA. I enjoy learning and building stuff with my growing knowledge. I am interested in machine learning and its applications to solve real-world problems. Throughout these years at UCSD I have systematically learned various machine learning algorithms, programming languages, and most importantly, the diligent and meticulous mindset.
Research Experiences
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling @ Rose Spatiotemporal ML (STL) Lab, UC San Diego
Ruijia Niu, Dongxia Wu, Kai Kim, Yi-An Ma, Duncan Watson-Parris, Rose Yu
• Novel multi-fidelity surrogate modeling architecture to address inaccurate latent representations.
• Model improves the average performance by ~90% from state of art with real-world climate data.
• Derived mathematical equations, trained models with real-world/synthetic datasets.
Deep Bayesian Active Learning For Accelerating Stochastic Simulation @Rose STL Lab, UC San Diego
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Alessandro Vespignani, Yian Ma, Rose Yu
• Novel Spatiotemporal Neural Process Model Structure and acquisition function for active learning.
• Designed and added two new experiments, wrote detailed performance comparisons and analytics.
• Read and analyzed 4 top-notch journal articles with a focus in mathematics.
• Active Learning model performance reached offline (using 100% data) with only 21% of data.
Disentangled Multi-Fidelity Deep Bayesian Active Learning @Rose STL Lab, UC San Diego
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu
• Proposed local and global information aggregation for each fidelity level.
• Implemented Gaussian Process baselines and pool based active learning.
• Conducted robustness test by separating data at each fidelity level and test independently.
• Model implemented with PyTorch, trained on Linux Servers.
Improving Transferability of Adversarial Patches on Facial Recognition with Generative Models in Physical Space @Institute of Automation, Chinese Academy of Science, Beijing, China
• Physical black-box attack on facial recognition models via deep convolutional generative adversarial networks.
• Read and analyzed 28 top-notch (CVPR 2021) journal articles, combined methods in two of them.
• Optimized the model using PyTorch, Tensorflow, Python, Jupyter Notebook on Linux & Windows platforms.
• Increased model attack success rate by more than 45%.
Work Experiences
ML/Analytics Cloud Engineer Intern @ SuccessKPI, Inc.
• Worked on real-time call transcribing on a serverless SaaS platform with AWS.
• Utilized Docker, Bitbucket, AWS ECS/Lambda Functions/DynamoDB/Transcribe/X-Ray/ECR/etc.
• Implemented X-Ray to monitor ECS activities/logs with CloudWatch dashboard for error reporting.
• Significantly enhanced overall transcribe accuracy with partial results stabilization.
Computer Science & Cognitive Science Tutor @ UC San Diego
• Provided one-on-one and group tutoring for over 60 students on research methods, Java, data structures.
• Collaborated with professors to identify educational goals and initiated strategies to keep plans on track.
• Received excellent rating (10/10) in instructor feedback.
Projects
Gesture Recognition Neural Network Model
Designed and Trained a Convolutional Neural Network with TensorFlow, capable of recognizing 11 Different gestures in Daily Environments with 90.4% Precision.
Video Game Rating Prediction Model
A rating prediction LSTM model implemented with Word2Vec encoding for video game reviews on Steam. Outperformed the popular TF-IDF based models.
Web Data Collection Script & Analytics Page
Page data collector to record user activity and browser info. Collected data a is stored in remote MongoDB and analytics page hosted on custom-built Apache2 server.
Notes Sharing Website
Full stack CRUD web forum designed for large user groups to share notes. Co-founder of this project and managed team with 28 developers.
Resume
Brooks_Resume.pdfContact Me: rniu@ucsd.edu
