Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds Q Chen, S Tang, Q Yang, S Fu 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 290 | 2019 |
F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds Q Chen, X Ma, S Tang, J Guo, Q Yang, S Fu Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 88-100, 2019 | 262 | 2019 |
Exploring event correlation for failure prediction in coalitions of clusters S Fu, CZ Xu Proceedings of the 2007 ACM/IEEE conference on Supercomputing, 1-12, 2007 | 242 | 2007 |
A novel gas turbine fault diagnosis method based on transfer learning with CNN S Zhong, S Fu, L Lin Measurement 137, 435-453, 2019 | 224 | 2019 |
Gait recognition for co-existing multiple people using millimeter wave sensing Z Meng, S Fu, J Yan, H Liang, A Zhou, S Zhu, H Ma, J Liu, N Yang Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 849-856, 2020 | 145 | 2020 |
Adaptive anomaly identification by exploring metric subspace in cloud computing infrastructures Q Guan, S Fu 2013 IEEE 32nd International Symposium on Reliable Distributed Systems, 205-214, 2013 | 138 | 2013 |
Failure-aware resource management for high-availability computing clusters with distributed virtual machines S Fu Journal of Parallel and Distributed Computing 70 (4), 384-393, 2010 | 126 | 2010 |
Ensemble of Bayesian predictors and decision trees for proactive failure management in cloud computing systems. Q Guan, Z Zhang, S Fu J. Commun. 7 (1), 52-61, 2012 | 116 | 2012 |
MOWS: multi-objective workflow scheduling in cloud computing based on heuristic algorithm F Abazari, M Analoui, H Takabi, S Fu Simulation Modelling Practice and Theory 93, 119-132, 2019 | 113 | 2019 |
Performance metric selection for autonomic anomaly detection on cloud computing systems S Fu 2011 IEEE Global Telecommunications Conference-GLOBECOM 2011, 1-5, 2011 | 96 | 2011 |
F-sefi: A fine-grained soft error fault injection tool for profiling application vulnerability Q Guan, N Debardeleben, S Blanchard, S Fu 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014 | 87 | 2014 |
Embedded deep learning for vehicular edge computing J Hochstetler, R Padidela, Q Chen, Q Yang, S Fu 2018 IEEE/ACM Symposium on Edge Computing (SEC), 341-343, 2018 | 83 | 2018 |
Signal processing for TDM MIMO FMCW millimeter-wave radar sensors X Li, X Wang, Q Yang, S Fu IEEE Access 9, 167959-167971, 2021 | 81 | 2021 |
Spanet: Spatial pyramid attention network for enhanced image recognition J Guo, X Ma, A Sansom, M McGuire, A Kalaani, Q Chen, S Tang, Q Yang, ... 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 81 | 2020 |
Hot plasma effects on the cyclotron‐resonant pitch‐angle scattering rates of radiation belt electrons due to EMIC waves B Ni, X Cao, YY Shprits, D Summers, X Gu, S Fu, Y Lou Geophysical Research Letters 45 (1), 21-30, 2018 | 81 | 2018 |
Competition between outer zone electron scattering by plasmaspheric hiss and magnetosonic waves B Ni, M Hua, R Zhou, J Yi, S Fu Geophysical Research Letters 44 (8), 3465-3474, 2017 | 80 | 2017 |
Quantifying temporal and spatial correlation of failure events for proactive management S Fu, CZ Xu 2007 26th IEEE International Symposium on Reliable Distributed Systems (SRDS …, 2007 | 79 | 2007 |
Electromagnetic energy conversion at dipolarization fronts: Multispacecraft results SY Huang, HS Fu, ZG Yuan, M Zhou, S Fu, XH Deng, WJ Sun, Y Pang, ... Journal of Geophysical Research: Space Physics 120 (6), 4496-4502, 2015 | 75 | 2015 |
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains SZ Song Fu, Yongjian Zhang, Lin Lin, Minghang Zhao Reliability Engineering & System Safety 216, 2021 | 71 | 2021 |
Machine-learning-enabled cooperative perception for connected autonomous vehicles: Challenges and opportunities Q Yang, S Fu, H Wang, H Fang IEEE Network 35 (3), 96-101, 2021 | 64 | 2021 |