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Showing papers from University of Sydney Show all papers

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NeurIPS 2026The University of Hong KongU BirminghamU SydneyOptimization

Generalization Analysis of Biased Stochastic Gradient Methods for Minimax Problems

Shuang Zeng, Yunwen Lei, Yiming Ying

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U New South WalesU SydneyPrivacy

On the Price of Privacy for Language Identification and Generation

Xiaoyu Li, Andi Han, Jiaojiao Jiang, Junbin Gao

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U SydneyMohamed bin Zayed University of Causal inference

Causal Effect Identification with a Single Agnostic Proxy

Xiu-Chuan Li, Tongliang Liu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U SydneyU Sydney, University of SydneyShandong Medical and PharmaceutiU GlasgowThe University of AdelaideClinical NLP & EHR

MedHEB: Benchmarking Medical Embeddings Across Heterogeneous Clinical Evidence

Yingshu Li, Shaoyang Zhou, Zhanyu Wang, YUNYI LIU and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Nanyang TechnologicalGeorgia Institute of TechnologyU WashingtonWashington University, Saint LouU SydneyAgent memory

When Should Agents Remember? Falsification-Gated Self-Evolution for LLM Agents

Runxuan Tang, Haoyu Gao, Yuyan Ding, Junyi Yao and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of SydneyU SydneyU Sydney, University of SydneyHong Kong University of Science DeepWisdomMechanistic interpretability

ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection

Qingwen Zeng, Zehao Fu, Shuyu Meng, Linghan Huang and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U SydneyBeijing University of TechnologyIndependentU New South WalesU TwenteGraph neural networks

Stage-Aware Dual Alignment for Covariate Shift in Graph Domain Adaptation

Hongwei Wen, Can Zhang, Haoyu He, Xintao Zhao and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Nanyang TechnologicalNational University of SingaporeJD Explore AcademyA*STARU SydneyMulti-agent LLM systems

FlowLeak: Coverage-Guided Extraction of Dynamic Workflows in LLM-Based Multi-Agent Systems

Zhiyao Ren, Siyuan Liang, Yibing Zhan, Jun L Tan and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026City University of Hong KongU SydneyGraph neural networks

FedCAG: Federated Causality-Aware Graph Learning for Multi-Cloud Workload Forecasting

Yongcan Luo, Zhengjie Yang, Jiahao Zheng, Hao Wang and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U SydneyThe University of SydneyRepresentation & contrastive learning

Approximation in Contrastive Representation Learning

Yuanfan Li, Zihan Zhang, Yiming Ying, Ding-Xuan Zhou

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U SydneyAdelaideShanghai NormalShanxiUniversity Of Technology SydneyRepresentation & contrastive learning

Resolution-Aware Structural Density Peak Clustering

Jie Yang, Hsiang-Ting Chen, Yan Ma, Xinyan Liang and 7 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U SydneyAustralian NationalArizona StateU North Carolina at Chapel HillMohamed bin Zayed University of LLM reasoning & chain of thought

Chain-of-Thought Oversight Should Not Treat Faithfulness as Monitorability

Sichao Li, Sai Ma, Xiyang Hu, Chudi Zhong and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 1/5
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NeurIPS 2026U SydneyU Sydney, University of SydneyHKBU / RIKENMohamed bin Zayed University of Representation & contrastive learning

Adaptive Multi-Frame Learning for Expressive and Stable Atomic Representations

Jun Wang, Yifan Zeng, Bo Han, Fengwang Li and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Sydney AI Centre, University of U Sydney, University of SydneyU SydneyUnimelb & MBZUAIMohamed bin Zayed University of Activation steering

Scalable Minimal-Change Learning for Controllable Image Editing

Shuo Chen, Fengming Huang, Yu Yao, Mingming Gong and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026U SydneyU Southern QueenslandU Sydney, University of SydneyThe University of SydneyDomain adaptation

Domain-Conditioned Class Imbalance: Why Global Class Balance Fails Across Domains

Yongkun Deng, NAN YANG, Xiatong Guo, Zhiyong Wang and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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medium 0/10
strict 1/5
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NeurIPS 2026The Chinese University of Hong KU SydneyTsinghua Shenzhen International Shanghai AI LabDiffusion models

VUM: Visual Unified Models for Image Generation and Perception

ZiDong Wang, Yiyuan Zhang, Xiaoyu Yue, Xiangyuan Xue and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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83%Must read
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NeurIPS 2026U SydneyThe Chinese University of Hong KShenzhen Institutes of Advanced INRIAShanghai Artificial IntelligencePruning & sparsity

PARE: Pruning and Adaptive Routing for Efficient Video Generation

PARE combines structure-aware width pruning and timestep-conditioned adaptive depth routing to cut video diffusion compute while preserving generation quality.

Yutong Wang, Yunke Wang, Tianfan Xue, Yu Qiao and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
86%Must read
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NeurIPS 2026U SydneyAustralian NationalRoyal Melbourne Institute of TecMINT lab, Australian NationalJohns HopkinsAgent benchmarks & environments

NORA: Evaluating Grounded Reasonableness in Visual First-person Normative Action Reasoning

NoRA evaluates visual first-person normative reasoning by requiring models to generate actions with fact-reason-action support graphs, revealing current VLMs struggle to bind correct justifications to actions.

Sichao Li, Sai Ma, Zhuang Li, Daniel Kilov and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
91%Must read
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NeurIPS 2026U Georgianational university of singaore,New York UniveristyU SydneyNew Jersey Institute of TechnoloAdversarial robustness

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence

MedVIGIL evaluates medical vision-language models under broken visual evidence via clinician-supervised probes, revealing a 14.1-point gap between top models and radiologist reliability.

Hanqi Jiang, Junhao Chen, Yi Pan, Lifeng Chen and 9 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 4/5
80%Must read
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NeurIPS 2026Nanyang TechnologicalIIT BombayU SydneyMicrosoftOptimization

Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds

Intrinsic Muon extends norm-constrained matrix optimization to Riemannian manifolds via canonical intrinsic norms, yielding closed-form updates and convergence rates independent of factor conditioning.

Yibang Li, Bihari L Pandey, Ravi Sah, Andi Han and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5
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