About Me

I'm a PhD candidate in Computer Science and Engineering at Santa Clara University, advised by Professor Yi Fang. My research focuses on machine learning and scalable systems. With a strong foundation in software engineering and data science, I have contributed to projects involving misinformation detection, DEI audit tools, and AI-driven recommender systems. My work has been published in top conferences such as SIGIR. I'm passionate about ethical AI, interdisciplinary collaboration, and building intelligent systems that make a positive social impact.

Papers

DIANES: A DEI Audit Toolkit for News Sources
Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent
SIGIR 2022 | paper

AMICA: Alleviating Misinformation for Chinese American
Xiaoxiao Shang, Ye Chen, Yi Fang, Yuhong Liu, Subramaniam Vincent
SIGIR 2023 | paper

Projects

DEI Audit Toolkit for News Sources

Developed a framework for evaluating diversity, equity, and inclusion in media outlets using NLP techniques. Integrated real-time data pipelines, bias detection models, and visualization tools. Published at SIGIR 2022

AMICA: Misinformation Detection in Chinese American Communities

Built a multilingual misinformation detection tool tailored for diaspora communities. Applied transformer-based models to social media data, with explainable outputs to support community decision-making. Published at SIGIR 2023.

Privacy-Preserving Deep Learning with Homomorphic Encryption

Explored and evaluated various secure computation methods, including homomorphic encryption (HE), for applying deep learning on sensitive data. Collaborated with industry to benchmark performance and assess practical feasibility of HE-based inference.

Last Update: Mar 2025