News & evidence
Bedtime News Knowledge Atlas
Explore people, places, topics, and events across the Bedtime News archive.
Individual news stories connect to timelines and a knowledge graph, with evidence traced to the original passage.
Research · Software · People
PhD candidate · University of Liverpool
Based at Xi’an Jiaotong-Liverpool University, Suzhou
I study how AI agents can work together to make sense of different systems’ knowledge.
My research brings large language models into multi-agent dialogue and ontology alignment: helping systems agree on what their data means so they can exchange and use it. Alongside research, I build tools for personal AI assistants, agent collaboration, and shared knowledge.

How can agents find common ground?
Two systems may describe the same thing in different ways. I explore how language-model-assisted agents can negotiate these differences and support data exchange across domains.
My work spans ontology alignment, multi-agent dialogue, and resource-centric IoT systems, with publications at AAMAS, ICCCN, and BDDM.
News & evidence
Explore people, places, topics, and events across the Bedtime News archive.
Individual news stories connect to timelines and a knowledge graph, with evidence traced to the original passage.
Personal AI workspace
Bring conversations, ongoing tasks, structured knowledge, and interactive apps into a self-hosted personal workspace.
Tasks can pause and resume, while reusable apps work with shared data and capabilities approved by the user.
Reading & attention
Follow the sources you choose in one reader for articles, videos, and podcasts.
A finite inbox and separate discovery page keep subscriptions intentional, while collections and reading preferences stay on your device.
Calendar & privacy
Turn selected iOS calendar events into a shareable image while choosing how much detail to reveal.
Select calendars and dates, hide sensitive event details, and generate the image on your device before sharing.
Beyond the code
I started Fun Workshop to bring people across disciplines together for interesting projects, honest insights, and hands-on learning. Through the ClawTwin Initiative, I also brought together more than 20 people to explore how their personal agents could collaborate.
Community & teachingI’m interested in research collaborations and opportunities to turn agent research into useful products.
shiyao.zhang14@student.xjtlu.edu.cn