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Showing papers from Sun Yat-Sen University Show all papers

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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 2026SUN YAT-SEN UNIVERSITYHCP - Sun Yat-senPengcheng LaboratoryGuangdong University of TechnoloSun Yat-SenVision-language models

E0: Expressive Fine-Grained Discrete Action Prediction for Vision-Language-Action Models via Tweedie Discrete Diffusion

Zhihao Zhan, Jiaying Zhou, Likui Zhang, Qinhan Lyu and 9 more

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

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NeurIPS 2026SUN YAT-SEN UNIVERSITYZhejiang LabSun Yat-sen University, ChinaTencent AI LabSun Yat-SenUnified multimodal models

No Free Alignment: Observability-Aware Alignment for Multimodal Heterogeneous Learning

Canran Xiao, Puning Zhao, Enneng Yang, XIAOCHUN CAO 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 2026South China University of TechnoJD.COMSun Yat-SenJD Explore AcademyQuantization

Improving Quantized Zeroth-Order Optimization through Reconstructed Low-Rank Structures

Fei Wang, Shuai Xie, Li Shen, Chao Xue and 2 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 UNIVERSITYGuangzhouSingapore University of TechnoloNanyang TechnologicalAI oversight & deception

MLLM-Edit: Benchmarking Image Forgery Detection and Localization under MLLM-based Editing

Zeqin Yu, Ye Tian, Jian Zhang, Jiangqun Ni 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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NeurIPS 2026Sun Yat-sen University & SheSUN YAT-SEN UNIVERSITYThe University of SydneyNanjing University of Science anInformation Technology Service CEfficient & distributed training

Generalization Without Compression Penalty: A Stability Analysis of Error Feedback

Yifei Liang, Peng Wang, Yan Sun, Yingqi Liu and 3 more

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

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NeurIPS 2026SpotlightSun Yat-sen University & SheThe University of SydneySUN YAT-SEN UNIVERSITYTencent AI LabSun Yat-SenOptimization

Sparse Updates Generalize Better Than Optimization: Stability Analysis for Randomized Subspace Descent

Yifei Liang, Yan Sun, Yifei Cheng, Haobo Fu 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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67%Highly rated
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NeurIPS 2026sysuThe Hong Kong University of ScieSUN YAT-SEN UNIVERSITY, ChinaHong Kong University of Science Sun Yat-SenJailbreaks & red teaming

Auditing Instruction Robustness in Vision-Language-Action Models via Diversity-Aware Red Teaming

Baoshun Tong, Haoran He, Yang Liu, Ling Pan 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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lenient 1/5
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57%Worth a look
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NeurIPS 2026City University of Hong KongTencent AI LabJiangxi University of Finance anGeorgia StateShanghai University of Finance aModel-based RL

Towards Optimism-Pessimism Trade-off in Model-based Offline-to-Online Reinforcement Learning

Guochen Zhou, Yijun Yang, Qiqi Duan, Qing Su 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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NeurIPS 2026Nanyang TechnologicalSun Yat-SenTencentTsinghua University, TsinghuaU Chinese Academy of SciencesDeep RL

DUDS: Dual-stage Data Selection for Efficient Reinforcement Learning with Verifiable Rewards

Hongling Zheng, Li Shen, Zichuan Lin, Jiafei Lyu 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 2026SUN YAT-SEN UNIVERSITYChinese University of Hong KongThe Chinese University of Hong KNanjing University of AeronauticSouthwest JiaotongMultimodal reasoning

AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reasoning

AgroOmni introduces 288K multi-view agricultural VQA pairs across scales, and AgroNVILA achieves state-of-the-art 62.32% on AgroMind while demonstrating strong cross-scale generalization.

Jiarui Zhang, Junqi Hu, Zurong Mai, Yang Liu and 9 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 1/5
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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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
78%Highly rated
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NeurIPS 2026Beijing Institute of TechnologyCity University of Hong KongSun Yat-SenWuhanShanghaiMixture of experts

LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing

LightMoE replaces redundant MoE experts with parameter-efficient modules to cut memory use 30, 50% while matching or beating existing compression methods.

Jiawei Hao, Zhiwei Hao, Jianyuan Guo, Li Shen 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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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-SEN UNIVERSITYSun Yat-SenHunanShenzhenSun Yat-senMultimodal reasoning

Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning

Reason-IAD improves explainable industrial anomaly detection via knowledge-guided latent reasoning and dynamic visual injection, outperforming state-of-the-art methods across tasks.

Peng Chen, Chao Huang, Yunkang Cao, Chengliang Liu and 6 more

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

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9/20 AI panelreviewers recommend it

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