ChengAo Shen ☕️
ChengAo Shen

Ph.D. student

About Me

I am currently pursuing my PhD at the University of Houston under the guidance of Professor Jingchao Ni. My research primarily focuses on applying machine learning and data science methods for time series prediction and anomaly detection. Additionally, I am actively investigating the use of data science techniques to explore causal relationships between entities in different fields, aiming to develop new methods for causal discovery. I am also interested in exploring multimodal learning, particularly the integration of language and vision models, to address challenges in time series analysis and causal discovery.

Prior to my doctoral studies, I earned a Bachelor of Science degree in Information and Computing Science from Sichuan Agricultural University in 2024. During my undergraduate years, I worked under the supervision of Professors Zhaoli Shen and Houhui Huang. For a more comprehensive overview of my academic and professional background, please refer to my CV.

Download CV
Interests
  • Time Series
  • Causal Discovery
  • LLMs
Education
  • Ph.D. Computer Science

    University of Houston

  • BSc Information and Computing Science

    Sichuan Agricultural University

📚 My Research

I am currently a Ph.D. student at the University of Houston, with my primary research areas including:

  • Time Series: Developing advanced techniques for forecasting and anomaly detection in complex temporal data across various domains

  • Causal Discovery: Uncovering hidden cause-effect relationships in time series data and designing innovative causal inference models

  • LLMs: Harnessing the power of Large Language Models to enhance time series analysis and facilitate causal discovery in temporal data

I hope that my research can help us better predict the future, and by applying new algorithms to different industrial fields, drive the development of various industries.

📄Recent Publications
(2025). Harnessing Vision Models for Time Series Analysis: A Survey. arXiv.
(2024). Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for Precise Causal Discovery. arXiv.
(2024). Emoji kitchen with controlled fusion. The Second Tiny Papers Track at ICLR 2024.
📰Recent News

🎉 Joined the University of Houston as a PhD student

Hi everyone, I’m starting my PhD journey at the University of Houston. I’m excited to be part of the UH-D2i-group under the supervision of Professor Jingchao Ni.

My research focuses on applying machine learning and data science methods for time series prediction and anomaly detection. I am also exploring data science techniques to uncover causal relationships across various fields and develop new methods for causal discovery. Additionally, I am interested in integrating language and vision models through multimodal learning to tackle challenges in time series analysis and causal discovery.

🚀 A Brand New Personal Homepage!

In the upcoming Fall of 2024, I will be completing my undergraduate studies and beginning my Ph.D. journey. To better present my academic experience and personal information, I have used Hugo to create a new personal homepage (which is the page you are currently viewing)!