De Wang

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	All	Since 2016
Citations	525	482
h-index	9	8
i10-index	8	8

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20122013201420152016201720182019202020213 9 6 16 33 50 61 81 227 28

Co-authors

Heng HuangJohn A. Jurenko Endowed Professor, Electrical and Computer Engineering, University of PittsburghVerified email at pitt.edu
Feiping NieOPTIMALVerified email at mails.tsinghua.edu.cn
Ming-Fang (Allie) ChangCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Patsorn SangkloyGeorgia Institute of TechnologyVerified email at gatech.edu
Slawomir BakAppleVerified email at apple.com
Deva RamananAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Simon LuceyProfessor, University of AdelaideVerified email at adelaide.edu
James HaysGeorgia TechVerified email at gatech.edu
John W. LambertPh.D. Candidate, Georgia Institute of TechnologyVerified email at gatech.edu
Andrew HartnettArgo AIVerified email at argo.ai
Jagjeet SinghArgo AIVerified email at argo.ai
Jingbo XiaHuazhong Agricultural UniversityVerified email at mail.hzau.edu.cn
Li ShenProfessor of Informatics, University of Pennsylvania Perelman School of MedicineVerified email at pennmedicine.upenn.edu
Andrew SaykinIndiana University School of MedicineVerified email at iu.edu
Jingwen YanIndiana University Purdue University IndianapolisVerified email at iu.edu
Jack W. StokesMicrosoft ResearchVerified email at microsoft.com
Bin GuMBZUAIVerified email at mbzuai.ac.ae
Zhouyuan HuoResearch Scientist, GoogleVerified email at google.com
Shannon RisacherIndiana University School of MedicineVerified email at iupui.edu
Peter CarrArgo AIVerified email at argo.ai

De Wang

Argo AI

Verified email at argo.ai - Homepage

Machine Learning Deep Learning Machine Perception Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Argoverse: 3d tracking and forecasting with rich maps MF Chang, J Lambert, P Sangkloy, J Singh, S Bak, A Hartnett, D Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	201	2019
Feature selection via global redundancy minimization D Wang, F Nie, H Huang IEEE transactions on Knowledge and data engineering 27 (10), 2743-2755, 2015	90	2015
Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK) D Wang, F Nie, H Huang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014	87	2014
Large-scale adaptive semi-supervised learning via unified inductive and transductive model D Wang, F Nie, H Huang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	38	2014
Prediction of thermophilic protein with pseudo amino acid composition: an approach from combined feature selection and reduction D Wang, L Yang, Z Fu, J Xia Protein and peptide letters 18 (7), 684-689, 2011	35	2011
Attack and defense of dynamic analysis-based, adversarial neural malware detection models JW Stokes, D Wang, M Marinescu, M Marino, B Bussone MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 1-8, 2018	19	2018
Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization B Gu, D Wang, Z Huo, H Huang arXiv preprint arXiv:1612.06003, 2016	18	2016
Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering D Wang, F Nie, H Huang International Joint Conference on Artificial Intelligence, 2016	18*	2016
Human connectome module pattern detection using a new multi-graph minmax cut model D Wang, Y Wang, F Nie, J Yan, W Cai, AJ Saykin, L Shen, H Huang International Conference on Medical Image Computing and Computer-Assisted …, 2014	9	2014
Structural brain network constrained neuroimaging marker identification for predicting cognitive functions D Wang, F Nie, H Huang, J Yan, SL Risacher, AJ Saykin, L Shen International Conference on Information Processing in Medical Imaging, 536-547, 2013	6	2013
An improved ant colony algorithm for continuous space optimization L Yang, ZQ Fu, D Wang, HL Li, JB Xia 2010 International Conference on Machine Learning and Cybernetics 4, 1829-1832, 2010	3	2010
Learning Task Relational Structure for Multi-task Feature Learning D Wang, F Nie, H Huang 2016 IEEE 16th International Conference on Data Mining (ICDM), 1239-1244, 2016	1	2016
Hierarchical Representation Learning with Connectionist Models D Wang		2018

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