Guangzhen Yao — accepted AI-conference papers

2026

Rh-3DGS: Robust Open-Vocabulary Scene Understanding via Riemannian Huber Distillation and Manifold-Aware Sampling

Xinpeng Zhao, Jiang Jie, Fengyuan Zhang, Lixin Zhan, Dong Wang, Qinyuan Bu +2

ICML 2026poster

Open-vocabulary 3D scene understanding answers free-form text queries over reconstructed scenes. However, lifting dense 2D foundation-model embeddings into 3D Gaussian Splatting (3DGS) is still challenging. Existing 3DGS-based methods often average normalized embeddings in Euclidean space. This igno…

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2026

V-Pruner: A Fast and Globally-informed Token Pruning Framework for Vision Transformer

Guangzhen Yao, Jiayun Zheng, Zezhou Wang, Wenxin Zhang, Renda Han, Chuangxin Zhao +2

AAAI 2026technical

Vision Transformer (ViT) has become one of the cornerstones of the computer vision field, demonstrating exceptional performance. However, its inherent high computational complexity and inference latency still pose significant obstacles for deployment in resource-constrained environments. Token pruni

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