I am a Research Scientist at Apsara Lab and a Technical Research Expert in the Database Business Unit at Alibaba Cloud, where I work at the intersection of large language models (LLMs), intelligent operations (AIOps), distributed systems, and cloud security.
My research focuses on building intelligent, autonomous, and reliable cloud infrastructure by combining cutting-edge AI with real-world system challenges. I aim to bridge the gap between artificial intelligence and large-scale computing systems — making them not only more powerful, but also self-aware, self-diagnosing, and self-healing.
I am currently leading the development of AI-powered operational assistants that leverage Retrieval-Augmented Generation (RAG) and Agent-based architectures to support database on-call engineers. These systems automatically retrieve relevant knowledge, analyze incidents, and provide actionable recommendations — reducing mean time to response (MTTR) and significantly improving on-call efficiency.
I received my Ph.D. (2018) and B.S. (2013) in Automation from Tsinghua University. During my doctoral studies, I was a member of the NSLab and a visiting student at the University of Southern California (USC) (2016–2017).
My work is driven by a simple belief: the future of cloud computing lies in systems that understand themselves. I am committed to advancing this vision — one line of code, one model, and one real-world deployment at a time.
For a complete list of my publications, please visit my Google Scholar profile.