ChengAo Shen ☕️
ChengAo Shen

Ph.D. student

University of Houston

About Me

ChengAo Shen is currently pursuing his PhD at the University of Houston under the guidance of Professor Jingchao Ni. His research primarily focuses on applying machine learning and data science methods for time series data prediction and anomaly detection. Additionally, he is 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. He is 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 his doctoral studies, ChengAo earned a Bachelor of Science degree in Information and Computing Science from Sichuan Agricultural University in 2024. During his undergraduate years, he worked under the supervision of Professors Zhaoli Shen and Houhui Huang. For a more comprehensive overview of his academic and professional background, please refer to his 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
ChengAo Shen, Siyuan Mu, Ge Diao (2024). Emoji kitchen with controlled fusion. The Second Tiny Papers Track at ICLR 2024.
PDF Cite Code Dataset
Zhiwei Lu, Yonghui Gong, ChengAo Shen, Etc. (2024). Portable, intelligent MIECL sensing platform for ciprofloxacin detection using a fast convolutional neural networks-assisted Tb@Lu2O3 nanoemitter. Food Chemistry.
Cite
📰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)!