ChengXing Xie

ChengXing Xie

Artificial Intelligence Student

Xidian University

Camel.ai

Biography

I am currently pursuing my undergraduate degree in Computer Science at Xidian University. I began with a nine-month internship at Sensetime during my first year, serving as an algorithm intern. In my second year, I focus on face restoration, culminating in the publication of related papers at CVPRW. Currently, I delved into the area of LLM Agents. This interest led me to an enriching experience as a visiting student at KAUST from July.2023 to Jan.2024, where I further honed my skills and knowledge in LLM Agents. Looking ahead, I am committed to continuing my exploration of LLMs and plan to pursue a PhD. For further information or collaboration opportunities, feel free to reach out to me at xiechengxing34@gmail.com.

Interests
  • LLM Agents
  • Multi-Modeling
  • Generative Model
Education

  • B.E in Computer Science, 2021-now

    Xidian University

  • Visiting Student, 2023.7-2024.1

    KAUST (King Abdullah University of Science and Technology)

Recent Publications

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ChengXing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li (2024). Can Large Language Model Agents Simulate Human Trust Behaviors?.

PDF Code

ChengXing Xie, Qian Ning, Weisheng Dong, Guangming Shi (2023). TFRGAN Leveraging Text Information for Blind Face Restoration with Extreme Degradation.

PDF

Experience

 
 
 
 
 
Image and Video Understanding Lab
Visiting Student in KAUST (IVUL, Advisor PhD Guohao Li, Prof. Bernard Ghanem)
Image and Video Understanding Lab
July 2023 – January 2024 Thuwal, Saudi Arabia
Working on the Camel project, probing agent trust behavior. The paper titled “Can Large Language Models Simulate Human Trust Behaviors?” has been produced.
 
 
 
 
 
Photoelectric Imaging and Brain-like Perception Lab
Researcher in Photoelectric Imaging and Brain-like Perception Lab(Adivsor Weisheng Dong)
Photoelectric Imaging and Brain-like Perception Lab
November 2022 – May 2023 Xian China
Focusing on the face restoration task, research results have been published in CVPRW (MULA).
 
 
 
 
 
Sensetime
Algorithm Intern
Sensetime
February 2022 – November 2022 Xian China

Responsibilities include:

  • developing
  • Modelling
 
 
 
 
 
Xidian University
Undergraduate of Xidian University
Xidian University
September 2021 – June 2025 Xian China
Computer Science Undergraduate Student (AI Researcher)

Learning Courses

Stanford CS236 Deep Generative Models
Standford Oct 2021 – Nov 2021
Learning Lower-Level Vision
UCSB Game 101 Introduction to Modern Computer Graphics
UCSB Sep 2021 – Oct 2021
A preliminary understanding of Computer graphics
CS231n: Deep Learning for Computer Vision
Stanford Univercity Sep 2020 – Oct 2021
Getting Started with Deep Learning

Projects

*
All Deep Learning Other
TFRGAN Leveraging Text Information for Blind Face Restoration with Extreme Degradation
Using text information to achieve better res in BFR task.(This work has been submitted to CVPR workshop)
TFRGAN Leveraging Text Information for Blind Face Restoration with Extreme Degradation
Sleep State Analysis
Using AI to monitor human’s sleep states.(SenseTime Intern)
Sleep State Analysis
Cough Detection
Using CNN to do binary classification for elder’s sounds. (SenseTime Intern)
Cough Detection
Audio Clip
Using Audio and Text do Clip training.(SenseTime Intern)
Code
Audio Clip
Animation Picture Generation
Using a deep convolutional generative adversarial network (DCGAN) generate anime-style avatar images.
Code
Animation Picture Generation

Contact

If you want to contact me, free free to contact me at any time