Siheng Chen

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Jelena KovacevicDean, NYU Tandon School of EngineeringVerified email at nyu.edu
Ya ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Aliaksei SandryhailaResearch Scientist, Electrical and Computer Engineering, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Rohan VarmaGraduate Student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Maosen Li (李茂森)Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Qi Tian, Chief Scientist in Artificial Intel...Huawei Cloud & AIVerified email at huawei.com
George LedermanPhD Candidate, Advanced Infrastructure Systems, Carnegie Mellon UniversityVerified email at cmu.edu
Jose M. F. MouraPhilip L. and Marsha Dowd University Professor, Carnegie Mellon UniversityVerified email at ece.cmu.edu
Hae Young NohAssociate Professor of Civil and Environmental Engineering, Stanford UniversityVerified email at stanford.edu
Aarti SinghAssociate Professor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Anthony VetroVP & Director at Mitsubishi Electric Research LabsVerified email at merl.com
Yaoqing YangUC BerkeleyVerified email at berkeley.edu
Dong TianResearch Scientist, InterDigitalVerified email at interdigital.com
Sufeng NiuVerified email at g.clemson.edu
Wang ZihaoEmory UniversityVerified email at emory.edu
Baoan LiuFacebookVerified email at fb.com
Yangheng ZhaoShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Christos FaloutsosCMUVerified email at cs.cmu.edu
Jingxiao LiuPhD candidate, Civil and Environmental Engieneering, Stanford UniversityVerified email at stanford.edu
Mario BergésProfessor, Civil and Environmental Engineering Department, Carnegie Mellon UniversityVerified email at cmu.edu

Siheng Chen

Shanghai Jiao Tong University

Verified email at sjtu.edu.cn - Homepage

Graph signal processing graph neural networks collaborative perception autonomous driving


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Discrete signal processing on graphs: Sampling theory S Chen, R Varma, A Sandryhaila, J Kovacevic IEEE Transactions on Signal Processing 63 (24), 6510-6523, 2015	526	2015
Actional-structural graph convolutional networks for 3D skeleton-based action recognition M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019	391	2019
Signal recovery on graphs: Variation minimization S Chen, A Sandryhaila, JMF Moura, J Kovačević IEEE Transactions on Signal Processing 63 (17), 4609-4624, 2015	206	2015
Signal denoising on graphs via graph filtering S Chen, A Sandryhaila, JMF Moura, J Kovacevic IEEE GlobalSIP, 2014	136	2014
Semi-supervised multiresolution classification using adaptive graph filtering with application to indirect bridge structural health monitoring S Chen, F Cerda, P Rizzo, J Bielak, J Garrett, J Kovacevic IEEE Transactions on Signal Processing 62 (11), 2879 - 2893, 2014	114	2014
Signal recovery on graphs: Fundamental limits of sampling strategies S Chen, R Varma, A Singh, J Kovačević IEEE Transactions on Signal and Information Processing over Networks, 2015	113	2015
Fast resampling of 3D point clouds via graphs S Chen, D Tian, C Feng, A Vetro, J Kovačević IEEE Transactions on Signal Processing 66 (3), 666-681, 2018	104*	2018
Dynamic multiscale graph neural networks for 3D skeleton-based human motion prediction M Li, S Chen, Y Zhao, Y Zhang, Y Wang, Q Tian IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020	78	2020
Indirect structural health monitoring of a simplified laboratory-scale bridge model F Cerda, S Chen, J Bielak, JH Garrett, P Rizzo, J Kovacevic Smart Structures and Systems (Special Issue: Challenge on bridge health …, 2014	65	2014
Methods and systems for fast resampling method and apparatus for point cloud data D Tian, S Chen, C Feng, A Vetro US Patent App. 15/358,346, 2018	57*	2018
Symbiotic graph neural networks for 3D skeleton-based human action recognition and motion prediction M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021	49	2021
Track-monitoring from the dynamic response of an operational train G Lederman, S Chen, J Garrett, J Kovačević, HY Noh, J Bielak Mechanical Systems and Signal Processing 87, 1-16, 2017	46	2017
Damage quantification and localization algorithms for indirect SHM of bridges G Lederman, Z Wang, J Bielak, H Noh, JH Garrett, S Chen, J Kovacevic, ... Proc. Int. Conf. Bridge Maint., Safety Manag., Shanghai, China, 640-647, 2014	46	2014
Sampling theory for graph signals S Chen, A Sandryhaila, J Kovacevic	45	2015
Indirect structural health monitoring in bridges: Scale experiments F Cerda, J Garrett, J Bielak, P Rizzo, J Barrera, Z Zhuang, S Chen, ... Proc. Int. Conf. Bridge Maint., Safety Manag., 2012	45	2012
Generalized value iteration networks: Life beyond lattices S Niu, S Chen, H Guo, C Targonski, MC Smith, J Kovačević AAAI 2018, 2017	43	2017
Signal inpainting on graphs via total variation minimization S Chen, A Sandryhaila, G Lederman, Z Wang, JMF Moura, P Rizzo, ... IEEE ICASSP, 8267 - 8271, 2014	43	2014
MotionNet: Joint perception and motion prediction for autonomous driving based on bird's eye view maps P Wu, S Chen, D Metaxas IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020	41	2020
Adaptive graph filtering: Multiresolution classification on graphs S Chen, A Sandryhaila, JMF Moura, J Kovacevic IEEE GlobalSIP, 427-430, 2013	41	2013
Signal recovery on graphs: Random versus experimentally designed sampling S Chen, R Varma, A Singh, J Kovačević Sampling Theory and Applications (SampTA), 2015	40	2015

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