Shuiwang Ji, Associate Professor

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	All	Since 2015
Citations	10574	8573
h-index	39	35
i10-index	78	68

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20092010201120122013201420152016201720182019202070 176 238 345 482 597 773 1114 1475 1768 2179 1257

Co-authors

Jieping Ye, IEEE FellowUniversity of Michigan & Didi ChuxingVerified email at umich.edu
Hongyang GaoAssistant Professor, Department of Computer Science, Iowa State UniversityVerified email at iastate.edu
Dinggang ShenJ. H. Distinguished Investigator; Professor of Radiology; Director, Center for Image Analysis andVerified email at med.unc.edu
Wenlu ZhangCalifornia State University Long BeachVerified email at csulb.edu
Liang SunArizona State UniversityVerified email at asu.edu
Zhengyang WangPhD Student of Computer Science, Texas A&M UniversityVerified email at tamu.edu
tao zengScientist@JD.COMVerified email at wsu.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
Sudhir KumarDirector, iGEM, Carnell Professor, Temple UniversityVerified email at temple.edu
Jun LiuInfinia MLVerified email at asu.edu
Jiang LiOld Dominion UniversityVerified email at odu.edu
Ahmed FakhryML Engineer @AppleVerified email at cs.odu.edu
Zhenan SunInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Jie GuiUniversity of MichiganVerified email at ustc.edu
Shipeng YuSiemens HealthcareVerified email at siemens.com
Li WangAssistant Professor of Radiology, University of North Carolina at Chapel HillVerified email at med.unc.edu
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Jianhui ChenMicrosoftVerified email at asu.edu

Shuiwang Ji, Associate Professor

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	3604	2013
SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009	681*	2009
Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012	616	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	508	2015
An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009	489	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	275	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	267	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	254	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	233	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	215	2008
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	169	2010
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	166	2016
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	162	2008
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	156	2010
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	140	2015
Large-scale learnable graph convolutional networks H Gao, Z Wang, S Ji Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	130	2018
Multi-class discriminant kernel learning via convex programming J Ye, S Ji, J Chen Journal of Machine Learning Research 9 (Apr), 719-758, 2008	117	2008
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, 2016	109	2016
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	106	2011
Linear dimensionality reduction for multi-label classification S Ji, J Ye Twenty-first International Joint Conference on Artificial Intelligence, 2009	104	2009

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