Hi! I'm Ziyang Xiong

I am currently a senior student majoring in Data Science in the department of Computer Science and Engineering at University of Michigan - Ann Arbor . Also, I'm studying my minor for Math in LSA of Umich . And I currently join in Statistics & Optimization for Trustworthy AI (SOTA) lab group to explore more about LLM and Reinforcement Learning. I am also joining Foreseer Group to explore advanced research in LLMs for scientific discovery, focusing on innovative AI methods and their applications in data analysis and knowledge generation. I aslo work with Prof.Z.mao to explore the potential of AI security.

profile
Research Interest: I focus on applying machine learning and AI to various real-world problems, including AI security, leveraging large language models for scientific discovery and so on. I’m also dedicated to optimizing transformers algorithms and exploring their potential. I seek continuous breakthroughs and new opportunities to expand its applications. And now, my research interest is about foundation models for time-series and tabular data.

Publications

Map2Text: New Content Generation from Low-Dimensional Visualizations (The Web Conference, WWW, 2025) In Review
Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei

Safeguard is a Double-edged Sword: Denial-of-service Attack on Large Language Models (ICLR, 2025) In Review
Qingzhao Zhang, Ziyang Xiong, Z. Morley Mao

MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows (ACL) In Review
Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei

Improve LLM Faithfulness with KG

  • Intergrating LLM with KG allows the language model to answer unprecedented questions by leveraging knowledge from external sources.
  • Eliminates the need for model fine-tuning and imposes no constraints on the dataset.
    • Skills: Python, Large Language Model, Knowledge Graph

    Lipstick Search Engine

  • Crawl YouTube for lipstick-related videos and gather information. Train a model to rank lipsticks based on multiple criteria.
  • Provide users with filters such as price, color, and benefits to help them find and recommend the most suitable lipstick.
    • Skills: Python, Information Retrieval, NLP

    Depression Prediction

  • Collect and pre-process data including population depression, various biochemical indicators (various proteins, hormones), socioeconomic factors (education, income), etc.
  • Use various methods, including oversampling, lasso regularization, random forest,SVM,Logistic Regression,KNN and so on to construct a biochemical and socioeconomic prediction model of depression.
    • Skills: Machine Learning, Model Building, python and R

    HealthGoal App

  • Seamlessly integrate with Firebase for database management and tailored health plan recommendations with openai-api.
  • Craft an intuitive health app encompassing features like journaling, goal tracking, and interactive chat.
    • Skills: Dart, Flutter, Firebase

    CV & Experience

    I am currently doing my dual degree program in Shanghai Jiao Tong Univeristy as an Electrical and Computer Engineering student and in University of Michigan - Ann Arbor as a Data Science student.

  • During the winter of 2022, I worked as an programmer in China Telecom Hubei Branch. During this time, I designed a cloud-based fusion platform for the collection and integration of user device fault data. This platform can automatically analyzed, consolidated, and categorized diverse fault information, forwarding relevant data to respective departments and generating daily reports.
  • During the summer of 2023, I worked as a teaching assistant of the course ENGR 100: INTRODUCTION TO ENGINEERING .
  • During the summar of 2024, I worked as a research assistant in the SOTA Lab, where I integrated in-context learning with fine-tuning techniques to improve model performance and conducted research on optimizing the Transformer’s attention mechanism.
  • During the Fall of 2024, I worked as a grader for course named Foundations of LLMs.