Shuiwang Ji, ACM Distinguished Member

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	All	Since 2016
Citations	12057	9271
h-index	42	36
i10-index	87	75

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Co-authors

Jieping Ye, IEEE Fellow & ACM Distin...University of Michigan & BeikeVerified email at umich.edu
Hongyang GaoAssistant Professor, Department of Computer Science, Iowa State UniversityVerified email at iastate.edu
Zhengyang WangApplied Scientist, Amazon.comVerified email at amazon.com
Rongjian LiBank of AmericaVerified email at odu.edu
Dinggang ShenProfessor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
Wenlu ZhangCalifornia State University Long BeachVerified email at csulb.edu
Liang SunArizona State UniversityVerified email at asu.edu
Tao ZengScientist@JD.COMVerified email at wsu.edu
Sudhir KumarDirector, iGEM, Carnell Professor, Temple UniversityVerified email at temple.edu
Ming YangFacebook AI Research - NEC Laboratories AmericaVerified email at u.northwestern.edu
Kai YuFounder&CEO of Horizon Robotics , Founder of Baidu IDL and Baidu Autonomous DrivingVerified email at hobot.cc
Wei XuHorizon RoboticsVerified email at horizon.ai
Jun LiuInfinia MLVerified email at asu.edu
Jiang LiOld Dominion UniversityVerified email at odu.edu
Ahmed FakhryML Engineer @AppleVerified email at cs.odu.edu
Li WangAssistant Professor of Radiology, Director of Developing Brain Computing Lab, UNC-Chapel HillVerified email at med.unc.edu
Zhenan SunInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Jie GuiSoutheast UniversityVerified email at ustc.edu
Shipeng YuSiemens HealthcareVerified email at siemens.com
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn

Shuiwang Ji, ACM Distinguished Member

Department of Computer Science & Engineering, Texas A&M University

Verified email at tamu.edu - Homepage

Machine Learning Deep Learning Graph Neural Networks Biological and Brain Informatics Chemical Informatics


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3D convolutional neural networks for human action recognition S Ji, W Xu, M Yang, K Yu IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (1), 221-231, 2013	4258	2013
SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009	710*	2009
Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012	626	2012
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen NeuroImage 108, 214-224, 2015	604	2015
An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009	477	2009
Deep learning based imaging data completion for improved brain disease diagnosis R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji International Conference on Medical Image Computing and Computer-Assisted …, 2014	319	2014
Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis L Sun, S Ji, J Ye IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (1), 194-200, 2010	274	2010
Discriminant sparse neighborhood preserving embedding for face recognition J Gui, Z Sun, W Jia, R Hu, Y Lei, S Ji Pattern Recognition 45 (8), 2884-2893, 2012	265	2012
Hypergraph spectral learning for multi-label classification L Sun, S Ji, J Ye Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	227	2008
Extracting shared subspace for multi-label classification S Ji, L Tang, S Yu, J Ye Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	206	2008
Graph U-Nets H Gao, S Ji The 36th International Conference on Machine Learning, 2083-2092, 2019	205	2019
Large-scale learnable graph convolutional networks H Gao, Z Wang, S Ji Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	193	2018
Feature selection based on structured sparsity: A comprehensive study J Gui, Z Sun, S Ji, D Tao, T Tan IEEE transactions on neural networks and learning systems 28 (7), 1490-1507, 2016	192	2016
Trace norm regularization: Reformulations, algorithms, and multi-task learning TK Pong, P Tseng, S Ji, J Ye SIAM Journal on Optimization 20 (6), 3465-3489, 2010	174	2010
Generalized linear discriminant analysis: a unified framework and efficient model selection S Ji, J Ye IEEE Transactions on Neural Networks 19 (10), 1768-1782, 2008	172	2008
A robust deep model for improved classification of AD/MCI patients F Li, L Tran, KH Thung, S Ji, D Shen, J Li IEEE journal of biomedical and health informatics 19 (5), 1610-1616, 2015	162	2015
A shared-subspace learning framework for multi-label classification S Ji, L Tang, S Yu, J Ye ACM Transactions on Knowledge Discovery from Data (TKDD) 4 (2), 1-29, 2010	157	2010
Deep model based transfer and multi-task learning for biological image analysis W Zhang, R Li, T Zeng, Q Sun, S Kumar, J Ye, S Ji IEEE transactions on Big Data 6 (2), 322-333, 2016	127	2016
Multi-class Discriminant Kernel Learning via Convex Programming. J Ye, S Ji, J Chen Journal of Machine Learning Research 9 (4), 2008	122	2008
Drosophila gene expression pattern annotation through multi-instance multi-label learning YX Li, S Ji, S Kumar, J Ye, ZH Zhou IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (1), 98-112, 2011	112	2011

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