Xuyang Zhao

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All published works

Action	Title	Year	Authors
+	EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge	2024	Xuyang Zhao Qibin Zhao Toshihisa Tanaka
+ PDF Chat	When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method	2023	Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang
+	Towards the Generalization of Contrastive Self-Supervised Learning	2021	Weiran Huang Mingyang Yi Xuyang Zhao
+ PDF Chat	Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition	2018	Longhao Yuan Jianting Cao Xuyang Zhao Qiang Wu Qibin Zhao
+ PDF Chat	Tensorizing Generative Adversarial Nets	2018	Xingwei Cao Xuyang Zhao Qibin Zhao

Common Coauthors

Coauthor	Papers Together
Qibin Zhao	3
Weiran Huang	2
Mingyang Yi	1
Jun Yao	1
Longhao Yuan	1
Qiang Wu	1
Chun Yuan	1
Jianting Cao	1
Manyi Zhang	1
Toshihisa Tanaka	1
Xingwei Cao	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	2
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	2
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	2
+	Tensor Ring Decomposition	2016	Qibin Zhao Guoxu Zhou Shengli Xie Liqing Zhang Andrzej Cichocki	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Improved Baselines with Momentum Contrastive Learning	2020	Xinlei Chen Haoqi Fan Ross Girshick Kaiming He	2
+	Tensor-Train Decomposition	2011	Ivan Oseledets	2
+	Poblano v1.0 : a Matlab toolbox for gradient-based optimization.	2010	Daniel Dunlavy Evrim Acar Tamara G. Kolda	1
+	The skew-Cauchy distribution	2000	Barry C. Arnold Robert J. Beaver	1
+ PDF Chat	Scalable tensor factorizations for incomplete data	2010	Evrim Acar Daniel Dunlavy Tamara G. Kolda Morten Mørup	1
+ PDF Chat	Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis	2015	Andrzej Cichocki Danilo P. Mandic Lieven De Lathauwer Guoxu Zhou Qibin Zhao César F. Caiafa Anh Huy Phan	1
+	PARAFAC. Tutorial and applications	1997	Rasmus Bro	1
+	Learning to Reweight Examples for Robust Deep Learning	2018	Mengye Ren Wenyuan Zeng Bin Yang Raquel Urtasun	1
+ PDF Chat	Non-negative tensor factorization with applications to statistics and computer vision	2005	Amnon Shashua Tamir Hazan	1
+	Tensor decompositions for learning latent variable models	2014	Animashree Anandkumar Rong Ge Daniel Hsu Sham M. Kakade Matus Telgarsky	1
+	Tensor Decomposition for Signal Processing and Machine Learning	2017	Nicholas D. Sidiropoulos Lieven De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos	1
+	Multiverse recommendation	2010	Alexandros Karatzoglou Xavier Amatriain Linas Baltrunas Nuria Oliver	1
+ PDF Chat	Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks	2016	Li Shen Zhouchen Lin Qingming Huang	1
+	Learning deep representations by mutual information estimation and maximization	2018	R Devon Hjelm Alex Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio	1
+	Sub-Gaussian mean estimators	2016	Luc Devroye Matthieu Lerasle Gábor Lugosi Roberto I. Oliveira	1
+ PDF Chat	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions	2016	Andrzej Cichocki Namgil Lee Ivan Oseledets Anh Huy Phan Qibin Zhao Danilo P. Mandic	1
+ PDF Chat	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives	2017	Andrzej Cichocki Namgil Lee Ivan Oseledets Anh Huy Phan Qibin Zhao Masashi Sugiyama Danilo P. Mandic	1
+	Learning Efficient Tensor Representations with Ring Structure Networks	2017	Qibin Zhao Masashi Sugiyama Andrzej Cichocki	1
+ PDF Chat	Tensor Contraction Layers for Parsimonious Deep Nets	2017	Jean Kossaifi Aran Khanna Zachary C. Lipton Tommaso Furlanello Anima Anandkumar	1
+	WebVision Database: Visual Learning and Understanding from Web Data	2017	Wen Li Limin Wang Li Wei Eirikur Agustsson Luc Van Gool	1
+	Tensorizing Generative Adversarial Nets	2017	Xingwei Cao Qibin Zhao	1
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	1
+	Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels	2018	Zhilu Zhang Mert R. Sabuncu	1
+	Dimensionality-Driven Learning with Noisy Labels	2018	Xingjun Ma Yisen Wang Michael E. Houle Shuo Zhou Sarah M. Erfani Shu‐Tao Xia Sudanthi Wijewickrema James Bailey	1
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+ PDF Chat	Most Tensor Problems Are NP-Hard	2013	Christopher J. Hillar Lek‐Heng Lim	1
+	Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting	2019	Jun Shu Qi Xie Lixuan Yi Qian Zhao Sanping Zhou Zongben Xu Deyu Meng	1
+	Are Anchor Points Really Indispensable in Label-Noise Learning?	2019	Xiaobo Xia Tongliang Liu Nannan Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama	1
+	What is the Effect of Importance Weighting in Deep Learning?	2018	Jonathon Byrd Zachary C. Lipton	1
+	Contrastive Multiview Coding	2019	Yonglong Tian Dilip Krishnan Phillip Isola	1
+	Tensor Contraction Layers for Parsimonious Deep Nets	2017	Jean Kossaifi Aran Khanna Zachary C. Lipton Tommaso Furlanello Anima Anandkumar	1
+	A Theoretical Analysis of Contrastive Unsupervised Representation Learning	2019	Sanjeev Arora Hrishikesh Khandeparkar Mikhail Khodak Orestis Plevrakis Nikunj Saunshi	1
+	Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels	2019	Pengfei Chen Benben Liao Guangyong Chen Shengyu Zhang	1
+	MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels	2017	Lu Jiang Zhengyuan Zhou Thomas Leung Li-Jia Li Li Fei-Fei	1
+	Learning Efficient Tensor Representations with Ring-structured Networks	2019	Qibin Zhao Masashi Sugiyama Longhao Yuan Andrzej Cichocki	1
+ PDF Chat	Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination	2015	Qibin Zhao Liqing Zhang Andrzej Cichocki	1
+ PDF Chat	Wide Compression: Tensor Ring Nets	2018	Vaneet Aggarwal Wenlin Wang Brian Eriksson Yifan Sun Wenqi Wang	1
+	Adversarially Learned Inference	2016	Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville	1
+	Adversarial Feature Learning	2016	Jeff Donahue Philipp Krähenbühl Trevor Darrell	1
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	1
+ PDF Chat	Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition	2017	Longhao Yuan Qibin Zhao Jianting Cao	1
+ PDF Chat	Class-Balanced Loss Based on Effective Number of Samples	2019	Yin Cui Menglin Jia Tsung-Yi Lin Yang Song Serge Belongie	1
+ PDF Chat	Exploring the Limits of Weakly Supervised Pretraining	2018	Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin Bharambe Laurens van der Maaten	1
+ PDF Chat	Tucker factorization with missing data with application to low- $$n$$ n -rank tensor completion	2013	Marko Filipović Ante Jukić	1