Ziyang Luo

Ziyang Luo

Researcher

Agentic RL & Foundation Models

About Me

My research focuses on Agentic RL and foundation models, with a particular emphasis on developing trustworthy intelligent agents that can effectively interact with real-world environments.

I am the creator of WizardCoder and have worked on a range of widely recognized projects across language, multimodal, and agentic AI, including VideoLLaMA2, ScreenSpot-Pro, MCP-Universe, and StateAct (SFR-CUA). I was also deeply involved in the development of the open-source WizardLM Logo WizardLM project and contributed to Mercury, the first commercial-scale diffusion language model. My work has resulted in more than 30 publications at leading AI conferences, including ICLR, CVPR, ICCV, ACL, and EMNLP.

I obtained my PhD in Computer Science from HKBU Logo Hong Kong Baptist University (2025). Previously, I was a visiting researcher at NUS Logo the National University of Singapore (2024), collaborating with Prof. Mohan Kankanhalli . I have worked at Salesforce Logo Salesforce Research, Microsoft Research and Alibaba Logo Alibaba. For research collaboration or other inquiries, please visit the contact page or reach out via WeChat (ID: chiyeunglaw).

Latest News

Jan 2026

2 papers are accepted by ICLR 2026.

Dec 2025

Invited to serve as an SAC (Code Models Track) for ACL 2026.

Invited as an Industry Day speaker for ACM MM Asia 2025.

May 2025

Invited to serve as an SAC for EMNLP 2025 and AC for NeurIPS 2025.

4 papers accepted by ACL 2025 (2 main, 2 findings).

Mar 2025

VideoAutoArena is accepted by CVPR 2025.

Jan 2025

Released popular GUI grounding benchmark ScreenSpot-Pro (ACM Multimedia 2025).