Michael Yuan | 袁承博

Michael (Chengbo) Yuan | 袁承博

🦊🦁🐮🐹🐰🐸🐶🐻🐨🐯

(Update 2023.3.16) I am currently interning at MoonshotAI (top AGI startup in China) to build intellegent agent (based on Kimi) and conduct research on Human-AI Alignment problem.

I am a prospective graduate student poised to begin my academic journey at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, where I will be lucky to work with Prof. Yang Gao 🥳.

Currently, I am a senior undergraduate student in the HongYi Honor class at the School of CS, Wuhan University😘, where I worked with Prof. Yong Luo on multimodal machine learning. I am also minoring in Law at School of Law and interested in philosophy and finance.

I welcome exploration, creation and excitement! 🤗🤩🤪

Email / Github / WeChat / Zhihu

Research

My research interests primarily focus on Embodied AI and Computer Vision, particularly in utilizing vision-based methods to develop intelligent robotic systems. My ultimate aspiration is to create general-propose robots😎 that can truly understand and interact with our physical world. (representative papers are highlighted)

	General Flow as Foundation Affordance for Scalable Manipulation Learning Chengbo Yuan, Chuan Wen, Tong Zhang, Yang Gao project page / arXiv / code ArXiv2024 We build a 3D flow prediction model directly from large-scale RGBD human video datasets. Based on this model, we achieve stable zero-shot human-to-robot skill transfer in the real world.
	Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion Chengbo Yuan, Yongqian Li, Qiancheng Yang, Qianhui Xu, Yong Luo arXiv ArXiv2023 A multi-order factor fusion framework is designed to fuse text, audio, and video information for depression diagnosis.
	MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion Chen-Ming Zhang, Chengbo Yuan, Yong Luo, Xin Zhou Paper ICANN2023 A pyramid network architecture for infrared and visible image fusion.

Project

	TaoClass: an AI-Driven Course Forum A course forum powered by Large Language Models (LLMs) and Vector Databases (VD). gitee This is a project I led, and it also serves as the final assignment for the Software Engineering course at Wuhan University. The forum utilizes AI technology to offer natural language course selection and intelligent back-end information management.
	QFR: Tabular Prediction for Quantative Finance Research A tabular prediction library designed for financial stock prediction. github This is one of the outcomes of an interesting experience, during which I worked with Prof. Jian Li on stock prediction problems. It provide rich tools for factors extraction and results prediction.
	MindQuantFinance: High-Performance Quantitative Asset Pricing Library A library for asset pricing (Q-quant) based on MindSpore gitee This is an AI+Finance project I participated in, where we built a high-performance library for derivative pricing based on MindSpore. It offers features such as Black-Scholes calculations, Monte Carlo simulations, and solutions to Backward SDE.