Yu L. Lei

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All published works

Action	Title	Year	Authors
+	Deep Learning in Single-cell Analysis	2024	Dylan Molho Jiayuan Ding Wenzhuo Tang Zhaoheng Li Hongzhi Wen Yixin Wang Julian Venegas Wei Jin Renming Liu Runze Su
+	Deep Learning in Single-Cell Analysis	2022	Dylan Molho Jiayuan Ding Zhaoheng Li Hongzhi Wen Wenzhuo Tang Yixin Wang Julian Venegas Wei Jin Renming Liu Runze Su
+	Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares	2019	Yuning Hao Ming Yan Blake R. Heath Yu L. Lei Yuying Xie
+ PDF Chat	Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares	2018	Yuning Hao Ming Yan Yu L. Lei Yuying Xie

Common Coauthors

Coauthor	Papers Together
Yuying Xie	4
Ming Yan	2
Jiayuan Ding	2
Robert Yang	2
Zhaoheng Li	2
Patrick Danaher	2
Yuning Hao	2
Julian Venegas	2
Jiliang Tang	2
Hongzhi Wen	2
Wenzhuo Tang	2
Renming Liu	2
Dylan Molho	2
Runze Su	2
Yixin Wang	2
Blake R. Heath	1
Wei Jin	1
Wei Jin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Solving Least Squares Problems	1995	C. L. Lawson Richard Hanson	2
+	Robust Regression and Outlier Detection	1989	Gregory F. Piepel Peter J. Rousseeuw Annick M. Leroy	2
+	Least Median of Squares Regression	1984	Peter J. Rousseeuw	2
+ PDF Chat	Outlier Detection Using Nonconvex Penalized Regression	2011	Yiyuan She Art B. Owen	2
+	Computing LTS Regression for Large Data Sets	2006	Peter J. Rousseeuw Katrien Van Driessen	2
+	Sparse least trimmed squares regression for analyzing high-dimensional large data sets	2013	Andreas Alfons Christophe Croux Sarah Gelper	2
+	Robust Regression and Outlier Detection	1987	Peter J. Rousseeuw Annick M. Leroy	2
+	Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation	2017	Ozan Oktay Enzo Ferrante Konstantinos Kamnitsas Mattias P. Heinrich‬ Wenjia Bai José Caballero Stuart A. Cook Antonio de Marvao Timothy J. W. Dawes Declan P. O’Regan	1
+ PDF Chat	Exploring Outliers in Crowdsourced Ranking for QoE	2017	Qianqian Xu Ming Yan Chendi Huang Jiechao Xiong Qingming Huang Yuan Yao	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+	Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients	2017	Wei‐Hung Weng Mingwu Gao Ze He Susu Yan Peter Szolovits	1
+ PDF Chat	MIDA: Multiple Imputation Using Denoising Autoencoders	2018	Lovedeep Gondara Ke Wang	1
+	Attention U-Net: Learning Where to Look for the Pancreas	2018	Ozan Oktay Jo Schlemper Loïc Le Folgoc Matthew C. H. Lee Mattias P. Heinrich‬ Kazunari Misawa Kensaku Mori Steven McDonagh Nils Hammerla Bernhard Kainz	1
+	Large-Scale Unsupervised Deep Representation Learning for Brain Structure	2018	Ayush Jaiswal Dong Guo C.S. Raghavendra Paul M. Thompson	1
+ PDF Chat	CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation	2019	Yanning Zhou Omer Fahri Onder Qi Dou Efstratios Tsougenis Hao Chen Pheng‐Ann Heng	1
+ PDF Chat	An Introduction to Variational Autoencoders	2019	Diederik P. Kingma Max Welling	1
+	Exploring Outliers in Crowdsourced Ranking for QoE	2017	Qianqian Xu Ming Yan Chendi Huang Jiechao Xiong Qingming Huang Yuan Yao	1
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	1
+ PDF Chat	DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation	2016	Hao Chen Xiaojuan Qi Lequan Yu Pheng‐Ann Heng	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+ PDF Chat	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes	2018	Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi‐Wing Fu Pheng‐Ann Heng	1
+	Interpolation consistency training for semi-supervised learning	2021	Vikas Verma Kenji Kawaguchi Alex Lamb Juho Kannala Arno Solin Yoshua Bengio David López-Paz	1
+	MixMatch: A Holistic Approach to Semi-Supervised Learning	2019	David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel	1
+ PDF Chat	Quantitative Histopathology of Stained Tissues using Color Spatial Light Interference Microscopy (cSLIM)	2019	Hassaan Majeed Adib Keikhosravi Mikhail E. Kandel Tan H. Nguyen Yuming Liu André Kajdacsy-Balla Krishnarao Tangella Kevin W. Eliceiri Gabriel Popescu	1
+ PDF Chat	Deep Learning on Graphs: A Survey	2020	Ziwei Zhang Peng Cui Wenwu Zhu	1
+ PDF Chat	DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images	2020	Can Koyuncu Gozde N. Gunesli Rengül Cetin‐Atalay Çiğdem Gündüz-Demir	1
+	Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks	2019	Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li Xiang Song Jinjing Zhou Chao Ma Lingfan Yu Yu Gai	1
+	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	2020	Nicholas Heller Fabian Isensee Klaus H. Maier‐Hein Xiaoshuai Hou Chunmei Xie Fengyi Li Nan Yang Guangrui Mu Zhiyong Lin Miofei Han	1
+ PDF Chat	Boundary-Assisted Region Proposal Networks for Nucleus Segmentation	2020	Shengcong Chen Changxing Ding Dacheng Tao	1
+ PDF Chat	Double-Uncertainty Weighted Method for Semi-supervised Learning	2020	Yixin Wang Yao Zhang Jiang Tian Cheng Zhong Zhongchao Shi Yang Zhang Zhiqiang He	1
+ PDF Chat	Learning to Make Predictions on Graphs with Autoencoders	2018	Phi Vu Tran	1
+ PDF Chat	Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation	2020	Jun Ma Yixin Wang Xingle An Cheng Ge Ziqi Yu Jianan Chen Qiongjie Zhu Guoqiang Dong Jian He Zhiqiang He	1
+	Likelihood-based deconvolution of bulk gene expression data using single-cell references	2021	Dan D. Erdmann-Pham Jonathan Fischer Justin Hong Yun S. Song	1
+ PDF Chat	Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation	2021	Zhe Xu Donghuan Lu Yixin Wang Jie Luo Jagadeesan Jayender Kai Ma Yefeng Zheng Xiu Li	1
+ PDF Chat	ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities	2021	Yixin Wang Yang Zhang Yang Liu Zihao Lin Jiang Tian Cheng Zhong Zhongchao Shi Jianping Fan Zhiqiang He	1
+	Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution	2022	Leon Hetzel Simon Böhm Niki Kilbertus Stephan Günnemann Mohammad Nader Lotfollahi Fabian J. Theis	1
+ PDF Chat	Graph Neural Networks for Multimodal Single-Cell Data Integration	2022	Hongzhi Wen Jiayuan Ding Wei Jin Yiqi Wang Yuying Xie Jiliang Tang	1
+	Least Median of Squares Regression	1984	Peter J. Rousseeuw	1
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	1
+	An Introduction to Convolutional Neural Networks	2015	Keiron O’Shea Ryan Nash	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+	Domain-Adversarial Training of Neural Networks	2015	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	1
+	Auto-Encoding Variational Bayes	2013	Diederik P. Kingma Max Welling	1
+	Single-Cell Multimodal Prediction via Transformers	2023	Wenzhuo Tang Hongzhi Wen Renming Liu Jiayuan Ding Wei Jin Yuying Xie Hui Liu Jiliang Tang	1
+ PDF Chat	xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data	2023	Jing Gong Minsheng Hao Xin Zeng Chi-Ming Liu Jianzhu Ma Xingyi Cheng Taifeng Wang Xuegong Zhang Le Song	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1
+	Deep Convolutional Networks on Graph-Structured Data	2015	Mikael Henaff Joan Bruna Yann LeCun	1
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	1
+	MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems	2015	Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang	1