C
Chang Liu
Researcher at Microsoft
Publications - 88
Citations - 833
Chang Liu is an academic researcher from Microsoft. The author has contributed to research in topics: Computer science & Chemistry. The author has an hindex of 10, co-authored 37 publications receiving 354 citations. Previous affiliations of Chang Liu include Peking University.
Papers
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Proceedings ArticleDOI
Generalizing to Unseen Domains: A Survey on Domain Generalization.
Book ChapterDOI
Invertible Image Rescaling
Mingqing Xiao,Shuxin Zheng,Chang Liu,Yaolong Wang,Di He,Guolin Ke,Jiang Bian,Zhouchen Lin,Tie-Yan Liu +8 more
TL;DR: An Invertible Rescaling Net (IRN) is developed with deliberately designed framework and objectives to produce visually-pleasing low-resolution images and meanwhile capture the distribution of the lost information using a latent variable following a specified distribution in the downscaling process.
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Invertible Image Rescaling
Mingqing Xiao,Shuxin Zheng,Chang Liu,Yaolong Wang,Di He,Guolin Ke,Jiang Bian,Zhouchen Lin,Tie-Yan Liu +8 more
TL;DR: Wang et al. as discussed by the authors developed an Invertible Rescaling Net (IRN) with deliberately designed framework and objectives to produce visually-pleasing low-resolution images and meanwhile capture the distribution of the lost information using a latent variable following a specified distribution in the downscaling process.
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Generalizing to Unseen Domains: A Survey on Domain Generalization
TL;DR: Domain generalization (DG) deals with a challenging setting where one or several different but related domain(s) are given, and the goal is to learn a model that can generalize to an unseen test domain this article.
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Learning Causal Semantic Representation for Out-of-Distribution Prediction
TL;DR: It is proved that under proper conditions CSG identifies the semantic factor by fitting training data, and this semantic identification guarantees the boundedness of OOD generalization error and the success of adaptation.