Recent
Research
A universal grounding model for GUI agents across web, mobile, and desktop. Trained on 10M+ synthetic samples. SOTA at the time on major GUI grounding and agent benchmarks.
Exploring efficient and effective LLM reasoning with reinforcement learning from verifiable rewards. Providing a unified perspective on update dynamics and proposing an adaptive clipping method across benchmarks, model scales, and off-policy settings.
Improving e-commerce content moderation with multimodal large language models for violation detection in real-world systems. Production deployment at scale, achieving 30%+ precision improvement and reducing manual review workload by 40%.
Building
Agent operating system for organizations and enterprise growth. Early-stage AI startup backed by MiraclePlus and CMU AI Venture Studio.
Natural language workflow automation engine. Explores once, compiles into deterministic workflows, and re-runs in seconds. Built at YC Browser Use Web Agent Hackathon.
AI-native Desktop Pet for Productivity. 2nd place winner at the AdventureX 2025 Hackathon Kimi Track.
Personal lifestyle assistant for budget-friendly living. 2nd place winner at the Baidu & Founder Park AGI Hackathon.
Life is a giant playground — I'm here to unlock every ride: