Shuiwang Ji, Associate Professor

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	All	Since 2015
Citations	11355	9339
h-index	40	37
i10-index	82	72

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20092010201120122013201420152016201720182019202069 176 237 347 485 599 776 1113 1484 1771 2194 1992

Co-authors

Jieping Ye, IEEE FellowUniversity of MichiganVerified email at umich.edu
Hongyang GaoAssistant Professor, Department of Computer Science, Iowa State UniversityVerified email at iastate.edu
Rongjian LiBank of AmericaVerified email at odu.edu
Zhengyang WangPhD Candidate of Computer Science, Texas A&M UniversityVerified email at tamu.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
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
tao zengScientist@JD.COMVerified email at wsu.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
Li WangAssistant Professor of Radiology, University of North Carolina at Chapel HillVerified email at med.unc.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
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn

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	3933	2013
SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009	693*	2009
Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012	634	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	556	2015
An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009	502	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	293	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	277	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	258	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	237	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	218	2008
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	181	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	176	2010
Large-scale learnable graph convolutional networks H Gao, Z Wang, S Ji Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	171	2018
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	167	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	161	2010
Graph U-Nets H Gao, S Ji The 36th International Conference on Machine Learning, 2083-2092, 2019	158	2019
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	145	2015
Multi-class discriminant kernel learning via convex programming J Ye, S Ji, J Chen Journal of Machine Learning Research 9 (Apr), 719-758, 2008	120	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	115	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	107	2011

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