AI Research Engineer · Agentic AI & Reliable MLMPhil in Computer Science · The University of Sydney · DUAL Group
MPhil researcher at the University of Sydney building reliable, efficient AI systems across federated learning, semantic communication, and trustworthy machine learning.
Each case states the problem, my role, the evidence, and the public artifact. Statuses are exact: published, submitted, or under review.
Distributionally robust semantic transmission for large-model inference across noisy, bandwidth-limited, and shifting wireless environments.
Contributed modelling, experiment design, robust training simulations, and evaluation under constrained channels.
Federated deep equilibrium models for heterogeneous clients where memory, energy, data, and communication capacity vary across the network.
Implemented FeDEQ components, explored communication-efficient aggregation, and evaluated non-IID NLP and vision settings.
Reliable label aggregation under sparse crowdsourcing by separating block-local and global posterior structure and controlling recursive evidence feedback.
Zerun Niu — first author; led algorithm design, literature review, experimental design, code implementation, and experimental deployment.
A maintainable public research interface for the Distributed compUting, optimizAtion, and Learning group at the University of Sydney.
Designed, developed, deployed, and maintain the group's official web presence and research communication system.
Every listing uses a precise status. BRAVE is first-author work under review at TMLR; WaSeCom is published in IEEE JSAC.
Ongoing research and teaching across the University of Sydney, UNSW Sydney, and the DUAL Group.
education · The University of Sydney · Research in reliable and efficient AI systems, supervised within the DUAL Group.
teaching · UNSW Sydney · Teaching and academic support in computing coursework.
teaching · The University of Sydney · Tutorial delivery and student learning support for university coursework.
research · DUAL Group, The University of Sydney · Research engineering and experimentation for distributed learning and efficient AI systems.
education · The University of Sydney · Graduated with Distinction; final-year work centred on machine learning and distributed systems.
I’m Digital Zerun, an AI representation using Zerun’s authorised cloned voice. Type a question or record one — replies come back spoken and written. I answer only from a screened public knowledge file and cannot make commitments on Zerun’s behalf.