Ziyang Luo
Scholar

Ziyang Luo

Google Scholar ID: VI8NeJEAAAAJ
Salesforce AI Research
AgentsLLMsMultimodal
Citations & Impact
All-time
Citations
2,180
 
H-index
18
 
i10-index
26
 
Publications
20
 
Co-authors
60
list available
Resume (English only)
Academic Achievements
  • Published over 20 papers at top-tier AI conferences including ICLR, CVPR, ICCV, ACL, and EMNLP. Released the first comprehensive MCP-use benchmark, MCP-Universe. VideoAutoArena accepted by CVPR 2025. ScreenSpot-Pro (ACM Multimedia 2025) and CodeHalu (AAAI 2025) also accepted. Invited to serve as an SAC for EMNLP 2025 and as an AC for NeurIPS 2025.
Research Experience
  • AI Research Scientist (Large Language Models) at Salesforce Research. Visiting researcher at the National University of Singapore (2024), collaborating with Prof. Mohan Kankanhalli. Interned at Microsoft Research and Alibaba DAMO Academy.
Education
  • PhD in Computer Science from Hong Kong Baptist University (2025), advised by Prof. Jing Ma; Master's degree from Uppsala University (Sweden); Bachelor's degree from Sun Yat-sen University (Guangzhou, China)
Background
  • Research Interests: Foundation models and artificial intelligence, with a particular emphasis on developing trustworthy intelligent agents that can effectively interact with real-world environments. Involved in the development of the well-known open-source project WizardLM, and contributed to the first commercial-scale diffusion large language model, Mercury.
Miscellany
  • Contact via email at zluo AT salesforce.com or WeChat (ID: chiyeunglaw)