Curriculum Vitae

Download Full CV (PDF)

Contact Information

Location: Beijing, China

Education

PhD in Pure Mathematics
2010.9 - 2018.1
Rutgers University, Newark, NJ

Advisor: Prof. Yiannis Sakellaridis

Thesis: Forms of homogeneous spherical varieties

Bachelor of Science in Physics
2006.9 - 2010.6
Zhejiang University, Hangzhou, China

College of Science & Chu Kochen Honors College

Professional Experience

Researcher
2023.2 - Present
Beijing Institute for General Artificial Intelligence (BIGAI)
  • Leading value learning and driver project, one of three core research tasks in the General Agent Center
  • Developing value-aligned autonomous agents and human-AI cooperative systems
Data Mining Researcher
2021.9 - 2022.2
NetEase Interactive Entertainment
  • Worked on game AI and player behavior analysis for SLG games
  • Optimized matching algorithms for battle royale game modes
Postdoctoral Researcher
2019.2 - 2021.8
Rutgers University, Department of Mathematics
  • CoDaS Lab, Machine Learning Direction
  • Focused on statistical cooperation theory and reinforcement learning
Part-Time Lecturer
2018 - 2019
Rutgers University - Newark
  • Taught undergraduate mathematics courses
Teaching Assistant
2010 - 2018
Rutgers University, Department of Mathematics
  • Supported courses in calculus, linear algebra, and mathematical analysis

Selected Research Projects

ASIST: Artificial Social Intelligence for Successful Teams
2019.12 - 2021.4
DARPA Funded Project
  • Mathematical lead for Rutgers research group
  • Focused on modeling cooperative behavior and theory of mind in human teams
XAI: Explainable AI
2019.1 - 2021.4
DARPA Funded Project
  • Developed framework for cooperative communication in explainable AI systems
  • Applied optimal transport theory to unify existing models
Natural Human Value System Construction & Verification
2023.8 - Present
Wuhan National High-Tech Zone Open Project
  • Primary researcher responsible for value function modeling and validation
Visual Pathway Feature Coding Research
2024.8 - Present
National Natural Science Foundation Project
  • Studying feature integration in human face recognition
  • Using reverse engineering approaches to model dynamic neural mechanisms

Skills

Programming

  • Python
  • PyTorch
  • TensorFlow
  • NumPy
  • MATLAB
  • C++

Machine Learning

  • Reinforcement Learning
  • LLMs
  • Bayesian Methods
  • Optimization

Mathematics

  • Optimal Transport
  • Algebraic Geometry
  • Statistical Inference

Tools

  • Git
  • Docker
  • Jupyter
  • LaTeX
  • HPC Clusters

Languages

  • Chinese: Native
  • English: Fluent