Good Papers

Showing papers from Great Bay University Show all papers

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NeurIPS 2026ShenzhenTencent Youtu LabTencentWeChat Pay Lab33Great BayMultimodal reasoning

Single-Pass Evidence Measurement for Interpretable and Uncertainty-Aware Multimodal Face Anti-Spoofing

Yingjie Ma, Haonan Wang, Xun Lin, Ruixin Zhang and 7 more

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

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57%Worth a look
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NeurIPS 2026ShanghaiTechGreat BayAI oversight & deception

Safety-Aware Latent Space Reasoning in Large Language Models

Yi Wang, Wenjie Wang, Hongye Qiu, Yu Pan

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

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NeurIPS 2026The Hong Kong University of ScieHong Kong University of Science Lappeenranta-Lahti University ofShandongThe Chinese University of Hong KMultimodal reasoning

Diving-R1: Empowering Multimodal LLMs with Traceable Progressive Reasoning for Interpretable Diving Action Quality Assessment

Kaishen Yuan, Yuting Zhang, Bohao Xing, Wenshuo Chen and 4 more

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

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45%Niche pick
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NeurIPS 2026TsinghuaGreat BayShanghai JiaotongNorthwesternNew York University, ShanghaiDeep learning theory

Cauchy Scientific Networks: Loss–Architecture Alignment and Its Limit

Haonan Tan, Xin Li, juyi peng, Zhihong Xia 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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67%Highly rated
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NeurIPS 2026ShenzhenTencent Youtu LabMacau University of Science and TencentWeChat Pay Lab33Multimodal reasoning

Semantic Freedom Bottleneck for Domain-Generalized Multimodal Face Anti-Spoofing

Yingjie Ma, Haonan Wang, Xun Lin, Hui Ma and 8 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: 2 of 20 reviewers recommend it
lenient 2/5
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NeurIPS 2026Tsinghua Shenzhen International TsinghuaNanyang TechnologicalGreat BayShenzhenSemi- & weakly supervised learning

View Confidence Perception-Driven Incremental Prediction for Incomplete Multi-view Multi-label Learning

Pingzhu Liu, Chunming He, Zunnan Xu, Zhirui Fang and 3 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: 0 of 20 reviewers recommend it
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