Chenglong Wang
Senior Researcher
News & features
PlugMem: Transforming raw agent interactions into reusable knowledge
| Ke Yang, Michel Galley, Chenglong Wang, Jianfeng Gao, Jiawei Han, and ChengXiang Zhai
It seems counterintuitive: giving AI agents more memory can make them less effective. As interaction logs accumulate, they grow large, fill with irrelevant content, and become increasingly difficult to use. More memory means that agents must search through larger volumes of…
Data Formulator: Exploring how AI can help analysts create rich data visualizations
| Chenglong Wang, Steven Drucker, Dan Marshall, Jeevana Priya Inala, Kori Inkpen, and Jianfeng Gao
Data Formulator investigates combining UI interactions with natural language input. Powered by AI, it can help users create or adapt visualizations and supports continuous refinement through an iterative process. Now available on GitHub.
Microsoft at CHI 2024: Innovations in human-centered design
From immersive virtual experiences to interactive design tools, Microsoft Research is at the frontier of exploring how people engage with technology. Discover our latest breakthroughs in human-computer interaction research at CHI 2024.
Data Formulator: A concept-driven, AI-powered approach to data visualization
| Chenglong Wang, Bongshin Lee, John Thompson, Steven Drucker, and Jianfeng Gao
Visualization is vital for understanding complex data, but existing tools require “tidy data,” adding extra steps. Learn how Data Formulator transforms concepts into visuals, promoting collaboration between analysts and AI agents.