Quanshi Zhang
Quanshi Zhang
Shanghai Jiao Tong University
Verified email at g.ucla.edu - Homepage
Title
Cited by
Cited by
Year
Interpretable convolutional neural networks
Q Zhang, Y Nian Wu, SC Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1882018
Visual interpretability for deep learning: a survey
Q Zhang, SC Zhu
Frontiers of Information Technology & Electronic Engineering 19 (1), 27-39, 2018
1802018
Prediction of human emergency behavior and their mobility following large-scale disaster
X Song, Q Zhang, Y Sekimoto, R Shibasaki
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
952014
Modeling and probabilistic reasoning of population evacuation during large-scale disaster
X Song, Q Zhang, Y Sekimoto, T Horanont, S Ueyama, R Shibasaki
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
712013
Interpreting cnn knowledge via an explanatory graph
Q Zhang, R Cao, F Shi, YN Wu, SC Zhu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
662018
Interpreting cnns via decision trees
Q Zhang, Y Yang, H Ma, YN Wu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
622019
Soft microrobots employing nonequilibrium actuation via plasmonic heating
A Mourran, H Zhang, R Vinokur, M Möller
Advanced Materials 29 (2), 1604825, 2017
592017
Unsupervised skeleton extraction and motion capture from 3D deformable matching
Q Zhang, X Song, X Shao, R Shibasaki, H Zhao
Neurocomputing 100, 170-182, 2013
392013
Examining cnn representations with respect to dataset bias
Q Zhang, W Wang, SC Zhu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
322018
Dynamic switching of helical microgel ribbons
H Zhang, A Mourran, M Möller
Nano letters 17 (3), 2010-2014, 2017
302017
A simulator of human emergency mobility following disasters: Knowledge transfer from big disaster data
X Song, Q Zhang, Y Sekimoto, R Shibasaki, NJ Yuan, X Xie
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
302015
Growing interpretable part graphs on convnets via multi-shot learning
Q Zhang, R Cao, YN Wu, SC Zhu
Thirty-First AAAI Conference on Artificial Intelligence, 2017
282017
Prediction and simulation of human mobility following natural disasters
X Song, Q Zhang, Y Sekimoto, R Shibasaki, NJ Yuan, X Xie
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 1-23, 2016
252016
Moving object classification using horizontal laser scan data
H Zhao, Q Zhang, M Chiba, R Shibasaki, J Cui, H Zha
2009 IEEE International Conference on Robotics and Automation, 2424-2430, 2009
232009
A fully online and unsupervised system for large and high-density area surveillance: Tracking, semantic scene learning and abnormality detection
X Song, X Shao, Q Zhang, R Shibasaki, H Zhao, J Cui, H Zha
ACM Transactions on Intelligent Systems and Technology (TIST) 4 (2), 1-21, 2013
212013
Intelligent System for Urban Emergency Management during Large-Scale Disaster.
X Song, Q Zhang, Y Sekimoto, R Shibasaki
AAAI, 458-464, 2014
202014
Attributed graph mining and matching: An attempt to define and extract soft attributed patterns
Q Zhang, X Song, X Shao, H Zhao, R Shibasaki
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
202014
Non-Hermitian Floquet topological phases: Exceptional points, coalescent edge modes, and the skin effect
X Zhang, J Gong
Physical Review B 101 (4), 045415, 2020
19*2020
Intelligent system for human behavior analysis and reasoning following large-scale disasters
X Song, Q Zhang, Y Sekimoto, T Horanont, S Ueyama, R Shibasaki
IEEE Intelligent Systems 28 (4), 35-42, 2013
192013
Intelligent system for human behavior analysis and reasoning following large-scale disasters
X Song, Q Zhang, Y Sekimoto, T Horanont, S Ueyama, R Shibasaki
IEEE Intelligent Systems 28 (4), 35-42, 2013
192013
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