Search Results - "Liu, Bingyuan"

On the Manifolds with Noncompact Automorphism Groups by Liu, Bingyuan

“…The Wong-Rosay theorem is a theorem characterizing the strongly pseudoconvex domain in C n by their automorphism groups. It has a lot of generalizations to…”
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The Mediating Role of Social Support in the Relationship Between Parenting Styles and Adolescent Drug Abuse Identification by Liu, Li, Meng, Weijie, Liu, Bingyuan

“…Adolescent drug abuse is a social issue of global concern, causing a serious burden of diseases for individuals, families and society. To design effective…”
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Inhibition of proteasomal deubiquitinases USP14 and UCHL5 overcomes tyrosine kinase inhibitor resistance in chronic myeloid leukaemia by Jiang, Liling, He, Qingyan, Chen, Xin, Liu, Aochu, Ding, Wa, Zhang, Haichuan, Chen, Xinmei, Zhou, Huan, Meng, Yi, Liu, Bingyuan, Peng, Guanjie, Wang, Chunyan, Liu, Jinbao, Shi, Xianping

“…Background Chronic myeloid leukaemia (CML) is a haematological cancer featured by the presence of BCR‐ABL fusion protein with abnormal tyrosine kinase…”
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Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification by Bingyuan Liu, Jing Liu, Xiao Bai, Hanqing Lu

“…Recently, many deep networks are proposed to learn hierarchical image representation to replace traditional hand-designed features. To enhance the ability of…”
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GEOMETRIC ANALYSIS ON THE DIEDERICH-FORNÆSS INDEX by Krantz, Steven George, Liu, Bingyuan, Peloso, Marco Maria

“…Given bounded pseudoconvex domains in 2-dimensional complex Euclidean space, we derive analytical and geometric conditions which guarantee the…”
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On the domains with noncompact automorphism groups by Liu, Bingyuan

“…For automorphism groups, we prove that the orbit accumulation points are either hyperbolic or parabolic. This answers the question pertaining to the…”
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Two applications of the Schwarz lemma by Liu, Bingyuan

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The -Neumann operator with Sobolev estimates up to a finite order by Harrington, Phillip, Liu, Bingyuan

“…Let be a bounded pseudoconvex domain with smooth boundary. For each we give a sufficient condition to estimate the -Neumann operator in the Sobolev space The…”
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The Intrinsic Geometry on Bounded Pseudoconvex Domains by Liu, Bingyuan

“…We study bounded pseudoconvex domains in 2-dimensional complex Euclidean spaces. We are interested in developing sufficient and necessary conditions for the…”
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Finite type domains with hyperbolic orbit accumulation points by Liu, Bingyuan

“…In this paper, finite type domains with hyperbolic orbit accumulation points are studied. We prove, in case of C2, it has to be a (global) pseudoconvex domain,…”
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Ground state solution of the thin film epitaxy equation by Su, Yu, Liu, Bingyuan, Feng, Zhaosheng

“…In this paper, we consider the generalized versions of Lions-type theorem under various conditions and then apply them to study the existence of ground state…”
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Analysis of Orbit Accumulation Points and The Greene–Krantz Conjecture by Liu, Bingyuan

“…In C 2 , we classify the domains for which Aut ( Ω ) is noncompact and describe these domains by their defining functions. This note is based on the technique…”
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Segmentation with mixed supervision: Confidence maximization helps knowledge distillation by Liu, Bingyuan, Desrosiers, Christian, Ben Ayed, Ismail, Dolz, Jose

“…Despite achieving promising results in a breadth of medical image segmentation tasks, deep neural networks (DNNs) require large training datasets with…”
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Improving neural network robustness through neighborhood preserving layers by Liu, Bingyuan, Malon, Christopher, Xue, Lingzhou, Kruus, Erik

“…High-dimensional embeddings are often projected via fully connected layers while training neural networks. A major vulnerability that makes neural networks…”
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The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration by Liu, Bingyuan, Ayed, Ismail Ben, Galdran, Adrian, Dolz, Jose

“…In spite of the dominant performances of deep neural networks, recent works have shown that they are poorly calibrated, resulting in over-confident…”
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Calibrating segmentation networks with margin-based label smoothing by Murugesan, Balamurali, Liu, Bingyuan, Galdran, Adrian, Ayed, Ismail Ben, Dolz, Jose

“…Despite the undeniable progress in visual recognition tasks fueled by deep neural networks, there exists recent evidence showing that these models are poorly…”
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Do we really need dice? The hidden region-size biases of segmentation losses by Liu, Bingyuan, Dolz, Jose, Galdran, Adrian, Kobbi, Riadh, Ben Ayed, Ismail

“…Most segmentation losses are arguably variants of the Cross-Entropy (CE) or Dice losses. On the surface, these two categories of losses (i.e., distribution…”
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Robust High-Dimensional Regression with Coefficient Thresholding and Its Application to Imaging Data Analysis by Liu, Bingyuan, Zhang, Qi, Xue, Lingzhou, Song, Peter X.-K., Kang, Jian

“…It is important to develop statistical techniques to analyze high-dimensional data in the presence of both complex dependence and possible heavy tails and…”
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Detection guided deconvolutional network for hierarchical feature learning by Liu, Jing, Liu, Bingyuan, Lu, Hanqing

“…Deep learning models have gained significant interest as a way of building hierarchical image representation. However, current models still perform far behind…”
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Topics on Nonconvex Learning by Liu, Bingyuan

“…Many machine learning models need to solve nonconvex and nonsmooth optimization problems. Compared with convex optimization, nonconvex optimization captures…”
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