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Showing papers from Shenzhen MSU-BIT University Show all papers

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NeurIPS 2026Shenzhen MSU-BITMoscow State University, LomonosGuangming LaboratoryBeijing Institute of TechnologyChina Media GroupUnified multimodal models

Reliability-Coupled Manifold-Aware Diffusion for Missing-Modality Inference

Yiming Ren, Yuhao Fang, Qing Zhou, Ming Li 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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57%Worth a look
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NeurIPS 2026Shenzhen MSU-BITImage restoration

Preconditioned Implicit Midpoint Langevin Sampling for Non-Smooth Bayesian Imaging

Sichen Wang, Zhipeng Lu

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

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NeurIPS 2026Shenzhen MSU-BITLearning theory

The Minimax Rate of Online Isotonic Regression on Product Orders

Sichen Wang

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

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91%Must read
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NeurIPS 2026SpotlightSUN YAT-SEN UNIVERSITYShenzhenShenzhen Institutes of Advanced Alibaba GroupShenzhen MSU-BITSegmentation

SIGMA: Semantic-Difference Instruction-Grounding Mask Annotator for Text-Driven Image Manipulation Localization

SIGMA uses semantic feature differencing with instruction-guided spatial priors to generate manipulation masks from edited images, producing a 1.1M training set that improves detectors by +18.34% F1.

Peiyu Zhuang, Jianquan Yang, Haodong Li, Zhuoying Cai 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: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
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NeurIPS 2026The Hong Kong University of ScieThe Hong Kong University of ScieHong Kong University of Science Beijing University of TechnologyShenzhen MSU-BITVision-language-action models

HumanoidArena: Benchmarking Egocentric Hierarchical Whole-body Learning

HumanoidArena benchmarks egocentric hierarchical whole-body learning via seven leg-critical tasks, finding policies solve diverse interactions but cross-tracker transfer remains fragile.

Taowen Wang, Zikang Xie, Bin Yang, Yunheng Wang and 12 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 18 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5