Ziyang Luo

Ziyang Luo

Research Scientist

Salesforce Research

About Me

I am an AI Research Scientist (Large Language Models) at Salesforce Logo Salesforce Research, working under Dr. Junnan Li .

I obtained my PhD in Computer Science at 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 also interned at Microsoft Logo Microsoft Research and Alibaba Logo Alibaba. I was deeply involved in the development of the well-known open-source project WizardLM Logo WizardLM , served as the first author of WizardCoder, and contributed to the first commercial-scale diffusion LLM, Mercury .

My research focuses on foundation models and artificial intelligence, with a particular emphasis on developing trustworthy intelligent agents that can effectively interact with real-world environments. I have published over 30 papers at top-tier AI conferences, including ICLR, CVPR, ICCV, ACL, and EMNLP. For academic collaboration or inquiries, please reach out via email at zluo AT salesforce.com or 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).