cv

TBD

Basics

Name Xianjun Yang
Label AI Researcher
Email xianjun.yang.ai@gmail.com
Url https://xianjun-yang.github.io
Summary AI researcher working on Agentic RL, mid-training, AI safety, and LLM alignment. Member of Technical Staff at Reflection AI. Completed PhD in CS at UC Santa Barbara in 3 years without prior CS background. ~3k citations.

Work

  • 2026.02 - Present
    Member of Technical Staff
    Reflection AI
    Working on open intelligence for large language models.
    • Agentic RL
    • Mid-training
  • 2024.12 - 2025.12
    Research Scientist
    Meta Superintelligence Lab
    Research across FAIR, GenAI teams.
    • LLM alignment
    • Mechanistic interpretability
  • 2024.06 - 2024.10
    Research Intern
    Meta GenAI
    Research internship at Meta GenAI, Seattle.
  • 2024.03 - 2024.06
    Research Intern
    Amazon
    Research internship at Amazon, Palo Alto.
  • 2023.01 - 2023.06
    Research Intern
    NEC Laboratories America
    Research internship at NEC Labs America, New Jersey.
  • 2022.06 - 2022.09
    Research Intern
    Tencent AI Lab
    Research internship at Tencent AI Lab, Seattle.

Education

  • 2021.10 - 2024.11
    PhD
    University of California, Santa Barbara
    Computer Science
  • 2020.01 - 2021.09
    PhD (Quit)
    University of California, Santa Barbara
    Fluid Mechanics
  • 2015.09 - 2019.06
    B.S.
    Tsinghua University
    Energy and Power Engineering

Awards

  • 2026.01.01
    ICLR 2026 Oral
    ICLR
    Oral presentation for 'Verifying Chain-of-Thought Reasoning via Its Computational Graph'.
  • 2024.07.01
    ICML 2024 Oral
    ICML
    Oral presentation for 'A Safe Harbor for AI Evaluation and Red Teaming'.

Skills

Research Areas
Agentic RL
Mid-training
AI Safety
LLM Alignment
Mechanistic Interpretability
LLM Security

Languages

Chinese
Native speaker
English
Fluent