Yanmin Zhu
Yanmin Zhu
Department of Computer Science and Engineering, Shanghai Jiao Tong University
Verified email at - Homepage
Cited by
Cited by
TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing
Z Feng, Y Zhu, Q Zhang, LM Ni, et al.
IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 1231-1239, 2014
Colight: Learning network-level cooperation for traffic signal control
H Wei, N Xu, H Zhang, G Zheng, X Zang, C Chen, W Zhang, Y Zhu, K Xu, ...
Proceedings of the 28th ACM International Conference on Information and …, 2019
CDC: Compressive data collection for wireless sensor networks
XY Liu, Y Zhu, L Kong, C Liu, Y Gu, et al.
IEEE Transactions on Parallel and Distributed Systems 26 (8), 2188-2197, 2014
Recognizing exponential inter-contact time in VANETs
H Zhu, L Fu, G Xue, Y Zhu, M Li, LM Ni
2010 Proceedings IEEE INFOCOM, 1-5, 2010
A Survey on Trajectory Data Mining: Techniques and Applications
Z Feng, Y Zhu
IEEE Access 4, 2056-2067, 2016
Diagnosing New York City's noises with ubiquitous data
Y Zheng, T Liu, Y Wang, Y Zhu, Y Liu, E Chang
Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014
Toward secure multikeyword top-k retrieval over encrypted cloud data
J Yu, P Lu, Y Zhu, G Xue, M Li
IEEE transactions on dependable and secure computing 10 (4), 239-250, 2013
Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction
A Ali, Y Zhu, M Zakarya
Neural networks 145, 233-247, 2022
A compressive sensing approach to urban traffic estimation with probe vehicles
Y Zhu, Z Li, H Zhu, M Li, Q Zhang
IEEE Transactions on Mobile Computing 12 (11), 2289-2302, 2012
Mining large-scale, sparse GPS traces for map inference: comparison of approaches
X Liu, J Biagioni, J Eriksson, Y Wang, G Forman, Y Zhu
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Senspeed: Sensing driving conditions to estimate vehicle speed in urban environments
H Han, J Yu, H Zhu, Y Chen, J Yang, Y Zhu, G Xue, M Li
IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 727-735, 2014
CrowdAtlas: self-updating maps for cloud and personal use
Y Wang, X Liu, H Wei, G Forman, C Chen, Y Zhu
Proceeding of the 11th annual international conference on Mobile systems …, 2013
Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks
X Zhou, Y Shen, Y Zhu, L Huang
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
Fine-grained abnormal driving behaviors detection and identification with smartphones
J Yu, Z Chen, Y Zhu, YJ Chen, L Kong, M Li
IEEE Transactions on Mobile Computing 16 (8), 2198-2212, 2017
A neural attention model for urban air quality inference: Learning the weights of monitoring stations
W Cheng, Y Shen, Y Zhu, L Huang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
D^3: Abnormal driving behaviors detection and identification using smartphone sensors
Z Chen, J Yu, Y Zhu, Y Chen, M Li
Sensing, Communication, and Networking (SECON), 2015 12th Annual IEEE …, 2015
An indirect eavesdropping attack of keystrokes on touch screen through acoustic sensing
J Yu, L Lu, Y Chen, Y Zhu, L Kong
IEEE Transactions on Mobile Computing 20 (2), 337-351, 2019
Stock Price Prediction Using Attention-based Multi-Input LSTM
H Li, Y Shen, Y Zhu
Asian Conference on Machine Learning, 454-469, 2018
Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks
A Ali, Y Zhu, M Zakarya
Information Sciences 577, 852-870, 2021
Compressive sensing approach to urban traffic sensing
Z Li, Y Zhu, H Zhu, M Li
2011 31st International Conference on Distributed Computing Systems, 889-898, 2011
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