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Showing papers from University of Sydney Show all papers

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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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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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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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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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
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strict 0/5
57%Worth a look
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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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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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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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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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67%Highly rated
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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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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
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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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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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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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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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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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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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lenient 0/5
medium 0/10
strict 1/5
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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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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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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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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
91%Must read
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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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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
78%Highly rated
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ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation

ProCTI retrieves global dataset prototypes to augment local conditioning in diffusion-based time series imputation, improving accuracy under sparse or noisy missingness with theoretical guarantees.

Fariza Rashid, Duc Van Le, Rahat Masood, Gustavo E Batista 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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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
92%Must read
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TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders

TRL-Bench standardizes cross-paradigm evaluation of tabular encoders via shared representation-level probes, finding encoder quality is task-specific and best pipelines combine capability-matched specialists.

Wei Pang, Xiangru Jian, Hehan Li, Zhixuan Yu and 9 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 54 on Hugging Face · Code ★ 10

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AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 4/5
78%Highly rated
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From Failure Taxonomy to Intervention: A Diagnostic Methodology for Industry-Scale AVLM in Video and Live-Streaming Platform Moderation

A diagnostic taxonomy maps AVLM failure signatures to targeted development interventions, enabling traceable industry-scale video moderation system improvements.

Shuchang Ye, Jinqiang Yu, Zhujun Xiao, Yajing Kong and 5 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: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
76%Highly rated
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Contrastive Identification and Generation in the Limit

Contrastive identification and generation in the limit studies learning from unlabeled differing pairs, yielding geometric characterizations, a strict generation hierarchy, and robust corruption reversal via common crossing graphs.

Xiaoyu Li, Andi Han, Jiaojiao Jiang, Junbin Gao

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

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AI panel: 10 of 20 reviewers recommend it
lenient 1/5
medium 6/10
strict 3/5
88%Must read
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Diversity Combining for Multi-Path LLM Reasoning

Multi-path LLM reasoning is modeled as diversity combining, showing path correlation limits majority-vote gains and that adaptive sampling retains near-peak accuracy.

Guangsheng Yu, Litianyi Zhang, Qin Wang, Xu Wang and 4 more

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

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
80%Must read
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EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models

EasyLens is a training-free plug-and-play module that amplifies subtle lesion representations in frozen medical vision-language models via prototype-based patch selection and morphology-guided residual enhancement, improving detection across datasets.

QIWEI ZENG, Hao Wang, Jinghao Lin, Shuchang Ye and 5 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: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
80%Must read
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LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection

LOFT separates orthogonal PEFT subspaces from transformations to enable task-aware support selection, improving efficiency-performance trade-offs across language, vision, and reasoning tasks.

Lanxin Zhao, Bamdev Mishra, Pratik Kumar Jawanpuria, Lequan Lin 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: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5
86%Must read
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Revealing Epistemic Uncertainty in MLLMs via Causal-Invariant Masking

Causal-Invariant Masking decomposes MLLM uncertainty via semantic divergence to capture epistemic limitations, and Expected Embedding Drift accelerates quantification by nearly 50%.

Haoyang Luo, Linwei Tao, Jie Gui, Xinghao Chen 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: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5
74%Highly rated
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USAD: Uncertainty-aware Statistical Adversarial Detection

USAD improves adversarial detection via variance and perturbation covariance discrepancy statistics that capture global and local uncertainty patterns in adversarial examples.

Zhijian Zhou, Xunye Tian, Jiacheng Zhang, Zesheng Ye and 4 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5