My background
Ziyang Luo is a Research Scientist at Salesforce AI Research, specializing in AI agents and foundation models for computer use. He has extensive experience with large-scale LLMs, contributing to the open-source project WizardLM, the multimodal project VideoLLaMA2, and the first commercial-scale diffusion large language model, Mercury. He has also held research positions at Microsoft Research, Alibaba DAMO Academy, and the National University of Singapore. Ziyang has published over 20 papers at premier AI conferences, including ICLR, CVPR, ICCV, ACL, and EMNLP, and received his PhD in Computer Science from Hong Kong Baptist University.
My expertise
LLM Agent, Multimodal LLM, Code LLM
When I'm not working
I enjoy playing video games.
Ziyang's latest articles
Blog
A new approach to enterprise graphical user interface (GUI) automation learns from one human demonstration and replays workflows with deterministic precision— delivering the reliability and privacy that enterprise operations demand. Ask any veteran…
Blog
MCP-Universe: A Comprehensive Framework for AI Agent Development and Benchmarking
The landscape of AI agent development has evolved rapidly, with developers needing robust frameworks to build, test, and benchmark intelligent systems. MCP-Universe emerges as a comprehensive solution, providing a modular framework designed around…
7 authors