Robert Yang

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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
+ PDF Chat	QuakeFlow: a scalable machine-learning-based earthquake monitoring workflow with cloud computing	2022	Weiqiang Zhu Alvin Brian Hou Robert Yang Avoy Datta S. Mostafa Mousavi William L. Ellsworth Gregory C. Beroza
+	QuakeFlow: A Scalable Machine-learning-based Earthquake Monitoring Workflow with Cloud Computing	2022	Weiqiang Zhu Alvin Brian Hou Robert Yang Avoy Datta S. Mostafa Mousavi William L. Ellsworth Gregory C. Beroza
+	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

Common Coauthors

Coauthor	Papers Together
Patrick Danaher	2
Yu L. Lei	2
Avoy Datta	2
Runze Su	2
Gregory C. Beroza	2
Yixin Wang	2
Zhaoheng Li	2
Alvin Brian Hou	2
Jiayuan Ding	2
Yuying Xie	2
Julian Venegas	2
Jiliang Tang	2
William L. Ellsworth	2
Hongzhi Wen	2
Wenzhuo Tang	2
Renming Liu	2
Dylan Molho	2
S. Mostafa Mousavi	1
S. Mostafa Mousavi	1
Weiqiang Zhu	1
Wei Jin	1
Weiqiang Zhu	1
Wei Jin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	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
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	1
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	1
+	Multiple Imputation Using Deep Denoising Autoencoders.	2017	Lovedeep Gondara Ke Wang	1
+	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	Convolutional neural network for earthquake detection and location	2018	Thibaut Perol Michaël Gharbi Marine Denolle	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
+ PDF Chat	PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method	2018	Weiqiang Zhu Gregory C. Beroza	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
+ 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
+ PDF Chat	HypoSVI: Hypocentre inversion with Stein variational inference and physics informed neural networks	2021	Jonthan D Smith Zachary E. Ross Kamyar Azizzadenesheli Jack B. Muir	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	Earthquake Phase Association Using a Bayesian Gaussian Mixture Model	2022	Weiqiang Zhu Ian W. McBrearty S. Mostafa Mousavi William L. Ellsworth Gregory C. Beroza	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
+	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
+	Deep Convolutional Networks on Graph-Structured Data	2015	Mikael Henaff Joan Bruna Yann LeCun	1