About Me
I am a PhD student at the University of Chicago, working with Professor Victor Veitch and Professor Mengdi Wang. I currently focus on language models, agents, and reinforcement learning methods for them, while collaborating closely with Seed Pretrain Lab and Princeton AI Lab.
Before that, I graduated from the School of Gifted Young at USTC, where I majored in Math, ranked first in Probability and Statistics Track. I published first-author paper in top theoretical statistics journal Biometrika.
I like to open-source my projects, see my RL frameworks for agentic AI, OpenClaw-RL 
(first open-source RL framework supports CLI/GUI/SWE/tool-use agents) and RLAnything 
, LLM coders CURE 
, and diffusion large language models dLLM-RL 
(first open-source post-training framework for DLM). My research has been supported by ByteDance Seed and Thinking Machines.
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OpenClaw-RL: Train Any Agent Simply by Talking
Yinjie Wang, Xuyang Chen, Xiaolong Jin, and 2 more authors
RL for Personal & General Agents
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RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Yinjie Wang, Tianbao Xie, Ke Shen, and 2 more authors
RL for GUI / LLM / Coding Agents
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Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
Yinjie Wang, Ling Yang, Bowen Li, and 3 more authors
ICLR 2026, Gave talk at DeepMind & NVIDIA
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MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation
Ye Tian, Ling Yang, Jiongfan Yang, and 10 more authors
ICLR 2026
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Co-evolving LLM Coder and Unit Tester via Reinforcement Learning
Yinjie Wang, Ling Yang, Ye Tian, and 2 more authors
Neurips 2025 Spotlight
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Automated Hierarchical Graph Construction for Multi-source Electronic Health Records
Yinjie Wang, Doudou Zhou, Yue Liu, and 2 more authors
Gave talk at Harvard University
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Nonparametric Inference for Balance in Signed Networks
Yinjie Wang*, Xuyang Chen*, and Weijing Tang
Biometrika 2026 / In charge of most theorems
