Xuan Zang — accepted AI-conference papers

2024

Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability

Dong Wu, Mingmin Chi, Xuan Zang, Bo Peng

AAAI 2024technical

With the increasing customization of spectrometers, spectral unmixing has become a widely used technique in fields such as remote sensing, textiles, and environmental protection. However, endmember variability is a common issue for unmixing, where changes in lighting, atmospheric, temporal condition…

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2023

Bipartite Graph Convolutional Networks with Adversarial Domain Transfer

Dong Wu, Bin Liang, Xiangjun Liu, Xuan Zang, Mingmin Chi

ICASSP 2023accepted

Bipartite graphs have been widely used in many applications such as recommender systems, search engines and so on. Recent works consider bipartite graphs as homogeneous graphs and apply graph convolution networks for link prediction or node classification. However, in bipartite graphs, there are two…

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