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Showing papers from Sun Yat-sen University Show all papers

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NeurIPS 2026Shanghai JiaotongTianjinAlibaba GroupAMAP, Alibaba GroupMeituanText-to-image

Breaking the Static: Dynamic Text Conditioning for Diverse Image Generation

Meng Yu, Ruidong Chen, qingfeng shi, Yingmao Miao 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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NeurIPS 2026Sun Yat-senSUN YAT-SEN UNIVERSITYZhejiang LabAdversarial robustness

G-PAC: Constructing Cohesive Pseudo-Features for Generalizable Physical Adversarial Camouflage

tianrui lou, Haoqing Zhang, Jiawei Liang, Puning Zhao and 1 more

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

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NeurIPS 2026U Illinois at ChicagoU Tennessee, KnoxvilleGeorge MasonAcademia SinicaSun Yat-senData curation

Subdata Selection: A Unified Framework for Optimal Selection and Statistical Efficiency Assessment

Min Yang, Wei Zheng, John Stufken, Ming-Chung Chang 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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NeurIPS 2026Sun Yat-senSUN YAT-SEN UNIVERSITYBytedanceThe Hong Kong University of ScieByteDance Inc.Controllable generation

AdDirector: Anchored Guidance for Generating Camera-Controllable Advertisement Videos

Shiyue Zhang, Zheng Chong, Xiangkun Shi, Xiaojian Lin and 6 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 Chinese University of Hong KU Hong KongWuhanBaiduBaidu Inc.3D vision & reconstruction

Latent Spatial Reasoning: Building Innate 3D Awareness via Latent-Space Distillation

Ruifei Zhang, Xiangru Lin, Haoyuan Li, Wei Zhang 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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NeurIPS 2026Sun Yat-senSUN YAT-SEN UNIVERSITYCollege of Professional and ContImage restoration

Bridging Image Restoration and Recognition via Causal Mediated Unrolling

Haowei Li, Qing Zhao, Yanze Li, ZhiChen Chen 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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NeurIPS 2026SUN YAT-SEN UNIVERSITYSun Yat-senMulti-agent RL

Policy-Level Exploration for Coordinated Multi-Agent Reinforcement Learning

Yucong Zhang, Chao Yu

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

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NeurIPS 2026Sun Yat-senXiamenNanyang TechnologicalSUN YAT-SEN UNIVERSITYSun Yat-SenGraph neural networks

SGNNBench: A Holistic Evaluation of Spiking Graph Neural Networks on Large-scale Graphs

Huizhe Zhang, Jintang Li, Yuchang Zhu, Huazhen Zhong 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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NeurIPS 2026Mohamed bin Zayed University of Alibaba GroupAlibaba Inc.Sun Yat-senLLM agents & planning

VideoSailor: Navigating Video Deep Research via Trajectory-to-Policy Flywheel

Meng Cao, Pengfei Hu, Yingyao Wang, Chen Wang and 6 more

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

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NeurIPS 2026Macau University of Science and Macau University of Science and Pengcheng LaboratoryInstitute of automation, ChineseSun Yat-senFlow matching

Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data

Hao Mo, Liying Yang, Shumin Yao, Xinxing Yu 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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NeurIPS 2026Sun Yat-senSUN YAT-SEN UNIVERSITYGraph generation

RGF: Recursive Generative Framework for the Edge-Cut Separable Problems

Bo Peng, Rongzhen Ye, Yaohua Li, Weilin Luo 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 2026TsinghuaTsinghua University, TsinghuaSun Yat-senAgent memory

TIMA: Test-Time Internalization for Agentic Memory

Xiaohang Sui, Yongjian Fu, Yizhe Zhao, Sheng Yue and 1 more

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

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78%Highly rated
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NeurIPS 2026Sun Yat-senSUN YAT-SEN UNIVERSITYRL for LLMs

Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning

GCPO replaces individual rollout scoring with team-level credit assignment based on valid solution coverage, significantly improving reasoning accuracy and diversity over competitive RLVR methods.

Haoxuan Chen, Tianming Liang, Wei-Shi Zheng, Jian-Fang Hu

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

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
78%Highly rated
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NeurIPS 2026Sun Yat-SenSUN YAT-SEN UNIVERSITYHunanSun Yat-senHarbin Institute of Technology, Vision-language models

M3-AD: Reflection-aware Multi-modal, Multi-category, and Multi-dimensional Benchmark and Framework for Industrial Anomaly Detection

M3-AD proposes a reflection-aware multimodal benchmark and RA-Monitor framework that improves industrial anomaly detection via learnable self-correction, outperforming several MLLMs.

Chao Huang, Yanhui Li, Hongxi Huang, Yunkang Cao and 5 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: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
86%Must read
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NeurIPS 2026SpotlightSUN YAT-SEN UNIVERSITYSun Yat-SenSun Yat-senZhejiangChina University of Mining and TTime series classification & imputation

TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning

TSQAgent uses collaborative agent roles and external analytical tools to automatically identify relevant time series quality dimensions and perform quantitative comparisons, substantially improving LLM assessment and downstream data selection.

Shunyu Wu, Dan Li, Haozheng Ye, Weibin Feng 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: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
74%Highly rated
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NeurIPS 2026Sun Yat-senSUN YAT-SEN UNIVERSITYPekingPeng Cheng LaboratoryPengcheng Laboratory3D vision & reconstruction

CodecSplat: Ultra-Compact Latent Coding for Feed-Forward 3D Gaussian Splatting

CodecSplat encodes 2D Gaussian-generation features into compact entropy-coded bitstreams to achieve order-of-magnitude smaller feed-forward 3D Gaussian splatting representations at high PSNR with controllable rate-distortion tradeoffs.

Pengpeng Yu, Runqing Jiang, Qi Zhang, Dingquan 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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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
78%Highly rated
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NeurIPS 2026SUN YAT-SEN UNIVERSITYBaiduBaidu Inc.CardiffSun Yat-senVideo generation

World Models as Group Actions

World models are formalized as group actions to enforce compositional dynamics via identity, inverse, and composition consistency, improving structural metrics without harming visual quality.

Zijie Wang, Wei Zhang, Weiming Zhang, Fanqi Zhang and 3 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
74%Highly rated
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NeurIPS 2026Sun Yat-senThe Chinese University of Hong KNanyang TechnologicalSUN YAT-SEN UNIVERSITYThe University of Hong KongImage editing

ProEdit: Inversion-based Editing From Prompts Done Right

ProEdit improves inversion-based image and video editing via KV-mix and Latents-Shift to achieve state-of-the-art results.

Zhi Ouyang, Dian Zheng, Xiao-Ming Wu, Jian-Jian Jiang and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 19 on Hugging Face · Code ★ 116

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 0/5
86%Must read
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NeurIPS 2026U North Carolina at Chapel HillSun Yat-sen University of North Carolina at3D vision & reconstruction

RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection

RefineAny3D treats monocular 3D depth refinement as visual alignment via categorical vision-language action tokens, boosting detectors without numerical regression.

Zhihao Zhang, Gengwei Zhang, Tianlong Chen, Xiaoming Liu

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

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 2/5
71%Highly rated
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NeurIPS 2026National University of SingaporeSun Yat-senOptimization

A Provably Convergent and Practical Algorithm for Gromov–Wasserstein Optimal Transport

A projected-gradient algorithm for Gromov-Wasserstein transport uses verifiable inexact projections to guarantee convergence to stationary points with scalable reliability.

Ling Liang, Lei Yang

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 7 of 20 reviewers recommend it
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