Changjiang Han

“I believe a leaf of grass is no less than the journey-work of the stars,
And the pismire is equally perfect, and a grain of sand, and the egg of the wren.”

— Walt Whitman, Leaves of Grass

I am applying for Ph.D. programs starting Fall 2027. Feel free to reach out!

About

I am an M.Sc. student in the Department of Machine Learning at MBZUAI, advised by Prof. Xue (Steve) Liu, and a researcher at the Cyber-Physical Intelligence Lab (CPIL). Before that, I received my B.Eng. in Electronic and Information Engineering (Seed Class) from Huazhong University of Science and Technology.

My research aims to build LLM agents that are capable, personalized, and learn reliably from feedback. I currently focus on: 1) how data and rewards shape agentic reinforcement learning, and how agents turn retrieved knowledge into parametric memory [Agentic RL Scaling, ResMem]; 2) personalization in LLMs and generative recommenders [SID-NL, OxygenREC-v2, Preference Heads]; and 3) communication and evaluation in multi-agent systems [QUACK]. Earlier, I worked on dual-arm robotic lab automation and brain-inspired spiking neural networks.

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        Education

        Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Sep 2025 – Present
        M.Sc. in Machine Learning · Advisor: Prof. Xue (Steve) Liu
        Huazhong University of Science and Technology (HUST)Sep 2021 – Jun 2025
        B.Eng. in Electronic and Information Engineering (Seed Class) · GPA 3.88/4.00

        Experience

        JD.com — Research InternApr 2026 – Sep 2026
        Generative recommendation · Beijing, China
        Cyber-Physical Intelligence Lab (CPIL), MBZUAI — ResearcherSep 2025 – Present
        Advisor: Prof. Xue (Steve) Liu
        State Key Lab of Brain-Machine Intelligence, Zhejiang University — Research InternMay 2024 – Sep 2024
        Advisor: Prof. Gang Pan · Spiking neural networks
        Dian Group, HUST — Project LeadJun 2023 – Jun 2025
        Dual-arm robotic platform for automated chemical preparation

        Projects

        Evidence — DeveloperMar 2026 – Present
        A next-generation publishing platform for all sciences, going beyond PDFs

        Honors & Awards

        • 2025 Outstanding Undergraduate Thesis Award, HUST (top 3%)
        • 2025 Outstanding Graduate Award, HUST (top 15%)
        • 2023 First Prize (Hubei Province), China Undergraduate Mathematical Contest in Modeling
        • 2022 Honorable Mention, Mathematical Contest in Modeling (MCM)

        Leadership & Service

        • 2023–25 Leader, Dian Group talent-incubation program, HUST

        Curriculum Vitae Download PDF