Search Results for author: Xiaolong Fan

Found 4 papers, 2 papers with code

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

no code implementations15 Dec 2023 Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu

Graph Structure Learning (GSL) has demonstrated considerable potential in the analysis of graph-unknown non-Euclidean data across a wide range of domains.

Graph structure learning

PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration

no code implementations11 Dec 2023 Yue Wu, Yongzhe Yuan, Xiaolong Fan, Xiaoshui Huang, Maoguo Gong, Qiguang Miao

We propose a new framework that formulates point cloud registration as a denoising diffusion process from noisy transformation to object transformation.

Denoising Point Cloud Registration

Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach

1 code implementation11 Oct 2022 Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang

In this paper, we propose a novel Multiview Variational Graph Information Bottleneck (MVGIB) principle to maximize the agreement for common representations and the disagreement for view-specific representations.

Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations

1 code implementation14 May 2021 Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li

Specifically, we first utilize a multi-view representation learning module to better capture both local and global information content across feature and topology views on graphs.

Graph Representation Learning

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