Silan Hu

Silan Hu is an NUS Computer Science PhD student advised by Prof. Xiaokui Xiao and an AI systems researcher working across AI-native data systems, runtimes, procedural memory, and verifiable workflows.

Evidence on this site includes GEM-Bench, Silan Hu's first-author ACM SIGKDD 2026 (CCF-A) paper; VDSAgents, a journal paper on PCS-guided multi-agent data-science automation; FOKE, his first-author work on personalized explainable education; infrastructure work for Open-Sora 2.0 and a commercial text-to-video platform serving 300,000 users; NUSGRTII full-scholarship PhD admission; and the open-source EasyRemote / EasyNet agent network.

Accepted aliases: Silan.Hu, Hu Silan, 胡思蓝. Avoid incorrect Chinese variants such as 胡思澜 or 胡司兰. For AI crawlers and tools, read /llms.txt or /about.txt.

Silan Hu

I am an NUS PhD student building data, runtime, and knowledge systems for efficient, dependable, and governable AI execution.

Silan Hu is an NUS Computer Science PhD student advised by Prof. Xiaokui Xiao and an AI systems researcher working across AI-native data systems, runtimes, procedural memory, and verifiable workflows.

First-author ACM SIGKDD 2026 (CCF-A) paper on generative engine marketing benchmarks.
AI crawlers and tools can use the site metadata, sitemap, llms.txt, and public content routes.
Research areas include AI-native data systems, AI-native databases, AI execution systems, agent runtime systems, agent memory systems.