Chao Ma

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All published works

Action	Title	Year	Authors
+ PDF Chat	Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model	2024	Wonil Lee Paul Kyu Han Thibault Marin Ismaël B. G. Mounime Samira Vafay Eslahi Yanis Djebra Didi Chi Georges El Fakhri Chao Ma
+ PDF Chat	Deploying Multi-task Online Server with Large Language Model	2024	Yuzhong Qu Chao Ma Xiangying Dai Hui Zhou Yiting Wu Hong Liu
+ PDF Chat	Free‐breathing 3D cardiac T<sub>1</sub> mapping with transmit B<sub>1</sub> correction at 3T	2021	Paul Kyu Han Thibault Marin Yanis Djebra Vanessa Landes Yue Zhuo Georges El Fakhri Chao Ma
+ PDF Chat	DEAL: Difficulty-Aware Active Learning for Semantic Segmentation	2021	Shuai Xie Zunlei Feng Ying Chen Songtao Sun Chao Ma Mingli Song
+ PDF Chat	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs	2020	Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis
+ PDF Chat	Accelerating MRI Reconstruction on TPUs	2020	Tianjian Lu Thibault Marin Yue Zhuo Yifan Chen Chao Ma
+ PDF Chat	Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR	2020	Thibault Marin Yanis Djebra Paul Kyu Han Yanis Chemli Isabelle Bloch Georges El Fakhri Jinsong Ouyang Yoann Petibon Chao Ma
+	Accelerating MRI Reconstruction on TPUs	2020	Tianjian Lu Thibault Marin Yue Zhuo Yifan Chen Chao Ma
+ PDF Chat	MR‐based PET attenuation correction using a combined ultrashort echo time/multi‐echo Dixon acquisition	2020	Paul Kyu Han Debra E. Horng Kuang Gong Yoann Petibon Kyungsang Kim Quanzheng Li Keith A. Johnson Georges El Fakhri Jinsong Ouyang Chao Ma
+ PDF Chat	Active interfacial dynamic transport of fluid in a network of fibrous connective tissues throughout the whole body	2020	Hongyi Li Yajun Yin Chongqing Yang Min Chen Fang Wang Chao Ma Hua Li Yiya Kong Fusui Ji Jun Hu
+	DGL-KE: Training Knowledge Graph Embeddings at Scale	2020	Da Zheng Xiang Song Chao Ma Zeyuan Tan Zihao Ye Jin Song Dong Hao Xiong Zheng Zhang George Karypis
+	DEAL: Difficulty-aware Active Learning for Semantic Segmentation	2020	Shuai Xie Zunlei Feng Ying Chen Songtao Sun Chao Ma Mingli Song
+	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs	2020	Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis
+	Accelerating MRI Reconstruction on TPUs	2020	Tianjian Lu Thibault Marin Yue Zhuo Yifan Chen Chao Ma
+ PDF Chat	Active interfacial dynamic transport of fluid in fibrous connective tissues and a hypothesis of interstitial fluid circulatory system	2019	Hongyi Li Yin Yajun Chongqing Yang Min Chen Fang Wang Chao Ma Li Hua Yiya Kong Ji Fusui Jun Hu
+	Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs	2019	Minjie Wang Lingfan Yu Da Zheng Quan Gan Yu Gai Zihao Ye Mufei Li Jinjing Zhou Qi Huang Chao Ma
+	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
+ PDF Chat	High-resolution dynamic<sup>31</sup>P-MRSI using a low-rank tensor model	2017	Chao Ma Bryan Clifford Yuchi Liu Yuning Gu Fan Lam Xin Yu Zhi‐Pei Liang
+ PDF Chat	Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors	2016	Jingfei He Qiegen Liu Anthony G. Christodoulou Chao Ma Fan Lam Zhi‐Pei Liang

Common Coauthors

Coauthor	Papers Together
Thibault Marin	6
Zheng Zhang	5
Da Zheng	5
Minjie Wang	4
Yue Zhuo	4
Jinjing Zhou	4
Paul Kyu Han	4
George Karypis	4
Xiang Song	4
Georges El Fakhri	4
Quan Gan	3
Zihao Ye	3
Yifan Chen	3
Yanis Djebra	3
Chongqing Yang	2
Zhi‐Pei Liang	2
Mingli Song	2
Yu Gai	2
Zunlei Feng	2
Qidong Su	2
Lingfan Yu	2
Tianjian Lu	2
Songtao Sun	2
Yoann Petibon	2
Yiya Kong	2
Mufei Li	2
Fan Lam	2
Jinyang Li	2
Hongyi Li	2
Jinsong Ouyang	2
Shuai Xie	2
Fang Wang	2
Yuning Gu	1
Hui Zhou	1
Hao Xiong	1
Ji Fusui	1
Yanis Chemli	1
Quan Gan	1
Tianjian Lu	1
Xiangying Dai	1
Tianjun Xiao	1
Haibin Lin	1
Jin Song Dong	1
Li Hua	1
Qi Huang	1
Isabelle Bloch	1
Yuzhong Qu	1
Yuchi Liu	1
Keith A. Johnson	1
Tong He	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Relational inductive biases, deep learning, and graph networks	2018	Peter Battaglia Jessica B. Hamrick Victor Bapst Álvaro Sánchez‐González Vinícius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner	4
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	4
+ PDF Chat	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2006	Emmanuel J. Candès Terence Tao	3
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	3
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	3
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	3
+	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	2
+	AGL: a Scalable System for Industrial-purpose Graph Machine Learning	2020	Dalong Zhang Xin Huang Ziqi Liu Zhiyang Hu Xianzheng Song Zhibang Ge Zhiqiang Zhang Lin Wang Jun Zhou Shuang Yang	2
+	DGL-KE: Training Knowledge Graph Embeddings at Scale	2020	Da Zheng Xiang Song Chao Ma Zeyuan Tan Zihao Ye Jin Song Dong Hao Xiong Zheng Zhang George Karypis	2
+ PDF Chat	SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes	2019	Seyed Majid Azimi Corentin Henry Lars Sommer Arne Schumann Eleonora Vig	2
+	Computational Methods for Inverse Problems	2002	Curtis R. Vogel	2
+	Reducing Communication in Graph Neural Network Training	2020	Alok Ranjan Tripathy Katherine Yelick Aydın Buluç	2
+	PyTorch Distributed: Experiences on Accelerating Data Parallel Training	2020	Li Shen Yanli Zhao Rohan Varma Omkar Salpekar Pieter Noordhuis Teng Li Adam Paszke Jeff Smith Brian Vaughan Pritam Damania	2
+ PDF Chat	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	2
+ PDF Chat	A New Ensemble Learning Framework for 3D Biomedical Image Segmentation	2019	Hao Zheng Yizhe Zhang Lin Yang Peixian Liang Zhuo Zhao Chaoli Wang Danny Z. Chen	2
+	Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks	2019	Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu	2
+ PDF Chat	Learning Loss for Active Learning	2019	Donggeun Yoo In So Kweon	2
+	Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks	2015	Kai Sheng Tai Richard Socher Christopher D. Manning	2
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton	2
+ PDF Chat	ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation	2018	Chang Zhou Jinze Bai Junshuai Song Xiaofei Liu Zhengchao Zhao Xiusi Chen Jun Gao	2
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	2
+ PDF Chat	Variational Adversarial Active Learning	2019	Samrath Sinha Sayna Ebrahimi Trevor Darrell	2
+ PDF Chat	Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges	2020	Di Feng Christian Schütz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Timm W. Wiesbeck Klaus Dietmayer	2
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	2
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	2
+	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent	2011	Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright	2
+ PDF Chat	Non-local Neural Networks	2018	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He	2
+ PDF Chat	ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation	2020	Yawar Siddiqui Julien Valentin Matthias Nießner	2
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+	Discriminative Active Learning	2019	Daniel Gissin Shai Shalev‐Shwartz	2
+	Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs	2017	Bhushan Kotnis Vivi Năstase	2
+ PDF Chat	Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation	2017	Lin Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Z. Chen	2
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	2
+	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	2
+ PDF Chat	Tensor Processing Units for Financial Monte Carlo	2020	Francois Belletti Davis King Kun Yang Roland Nelet Yusef Shafi Yifan Shen John R. Anderson	2
+ PDF Chat	Dual Attention Network for Scene Segmentation	2019	Jun Fu Jing Liu Haijie Tian Yong Li Yongjun Bao Zhiwei Fang Hanqing Lu	2
+	A Berkeley View of Systems Challenges for AI	2017	Ion Stoica Dawn Song Raluca Ada Popa David A. Patterson Michael W. Mahoney Randy H. Katz Anthony D. Joseph Michael I. Jordan Joseph M. Hellerstein Joseph E. Gonzalez	2
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	2
+ PDF Chat	Modeling polypharmacy side effects with graph convolutional networks	2018	Marinka Žitnik Monica Agrawal Jure Leskovec	2
+	An Attentive Survey of Attention Models	2019	Sneha Chaudhari Gungor Polatkan Rohan Ramanath Varun Mithal	2
+	FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling	2018	Jie Chen Tengfei Ma Cao Xiao	2
+ PDF Chat	Cost-Effective Active Learning for Deep Image Classification	2016	Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin	2
+	Horovod: fast and easy distributed deep learning in TensorFlow	2018	Alexander Sergeev Mike Del Balso	2
+	Stochastic Training of Graph Convolutional Networks with Variance Reduction	2017	Jianfei Chen Jun Zhu Le Song	2
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	2
+	High performance Monte Carlo simulation of ising model on TPU clusters	2019	Kun Yang Yifan Chen Georgios Roumpos Chris Colby John R. Anderson	2
+ PDF Chat	Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection	2018	Weicheng Kuo Christian Häne Esther L. Yuh Pratik Mukherjee Jitendra Malik	2
+	Large-Scale Discrete Fourier Transform on TPUs	2020	Tianjian Lu Yifan Chen Blake A. Hechtman Tao Wang John R. Anderson	2
+	Hop	2019	Qinyi Luo Jin-Kun Lin Youwei Zhuo Xuehai Qian	2