Research & Projects
Reliability, under real constraints.
BRAVE, WaSeCom, and FeDEQ each ask what reliable means when evidence, bandwidth, or compute is scarce. The DUAL Group site is the interface that carries that work to the public.
PublishedWaSeCom · 2025-2026
Distributionally Robust Wireless Semantic Communication with Large AI Models
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.
IEEE Journal on Selected Areas in Communications · DOI ↗
SubmittedFeDEQ · 2025-present
Federated Deep Equilibrium Learning over Resource-Constrained Edge Networks
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.
IEEE Internet of Things Journal submission
Under reviewBRAVE · 2026
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.
Transactions on Machine Learning Research · under review
ActiveDUAL Website · 2024-present
DUAL Group Research Website
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.