Zerun Niu
Sydney, Australia
MPhil (Engineering) · The University of Sydney
Sydney · reliable & efficient AI

Zerun Niu

AI Research Engineer · Agentic AI & Reliable MLMaster of Philosophy (Engineering) · 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.

Open to AI roles · Sydney / AU-remoteMPhil · USydResearch Assistant · DUAL GroupCasual Academic · USyd + UNSW
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Focus areas
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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 ↗

JSAC 2026 publication venuearXiv ↗Code ↗
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

NLP + vision evaluation domains
Under reviewBRAVE · 2026

BRAVE: Block-wise Structural Regularization via Controlled Evidence Feedback for Reliable Label Aggregation under Sparse Crowdsourcing

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

14 crowdsourcing benchmarksOpenReview ↗Explore the mechanism →
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.

Design -> deploy end-to-end ownershipLive site ↗
Shipped, not just published

Systems in production.

What's actually running right now, beyond the papers above.

This website

zerunniu.github.io

Astro on a static build, a Cloudflare Worker backend, and a CI pipeline that type-checks, tests, verifies links, and deploys on every push.

Source ↗
Voice + text agent

Digital Zerun

Turn-based agent living on this page: Turnstile-verified sessions, rate limiting, a screened knowledge boundary, and a 40-case eval suite.

Meet Digital Zerun ↓
Group infrastructure

DUAL Group website

Designed, built, and maintained end to end for the DUAL Group's public research presence at the University of Sydney.

Live site ↗
Experience

Research practice, strengthened by teaching.

Ongoing research and teaching across the University of Sydney, UNSW Sydney, and the DUAL Group.

2025 — present

Master of Philosophy (Engineering)

education · The University of Sydney · Research in reliable and efficient AI systems, supervised by Prof. Nguyen Tran in the DUAL Group; nearing completion.

Aug 2026 — present

Casual Academic

teaching · UNSW Sydney · Teaching and academic support in computing coursework.

Feb 2026 — present

Casual Academic Tutor

teaching · The University of Sydney · Tutorial delivery and student learning support for university coursework.

Apr 2024 — present

Research Assistant

research · DUAL Group, The University of Sydney · Research engineering and experimentation for distributed learning and efficient AI systems.

2021 — 2025

Bachelor of Advanced Computing, Major in Data Science

education · The University of Sydney · Graduated with Distinction; final-year work centred on machine learning and distributed systems.

Digital Zerun
AI cloneprivate endpoint

Meet Digital Zerun.

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.

Ready for verified questionszero retention target
  1. Pass the human check. After you press Start, a quick Cloudflare “are you human?” prompt appears — usually with no puzzle.
  2. Allow the microphone when your browser asks. It stays muted until you tap Record.
  3. Start talking. Type a question, or tap ● Record → speak → tap again to send. Replies come back spoken and written.