UNDERSTAND · ACT · EVOLVE
Qiming Zhu朱淇铭
I am a master’s student in the School of Artificial Intelligence at The Chinese University of Hong Kong, Shenzhen, advised by Prof. Benyou Wang.
My research focuses on personalized AI agents. I aim to build capable companions for work and everyday life: agents that understand you, act proactively, and continually improve through long-term collaboration.
Personalization. I study long-term memory as a foundation for agents to use interaction history and understand individual preferences, habits, and needs. TierMem is one step in this direction. I also hope to explore how agents can adapt through experience and feedback.
Proactive agency. I study how agents can perceive changing environments, decide when to act, and use OS and application capabilities to act autonomously and reliably on complex real-world tasks. OS-native Agents explores the system support this requires, with ongoing task management as a testbed.
I also contribute to multi-turn interaction evaluation through MTalk-Bench, studying how to reliably assess models’ interaction capabilities.
Let’s explore and build together, taking steps toward the JARVIS we envision.