Husheng Zhou
Husheng Zhou
VMware (graduated from UTD)
Verified email at
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Deepbillboard: Systematic physical-world testing of autonomous driving systems
H Zhou, W Li, Z Kong, J Guo, Y Zhang, B Yu, L Zhang, C Liu
2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE …, 2020
GPES: A preemptive execution system for GPGPU computing
H Zhou, G Tong, C Liu
21st IEEE Real-Time and Embedded Technology and Applications Symposium, 87-97, 2015
S^3DNN: Supervised Streaming and Scheduling for GPU-accelerated Real-Time DNN Workloads
H Zhou, S Bateni, C Liu
Proceedings of the 24th IEEE Real-Time and Embedded Technology and …, 2018
PASS: Priority assignment of real-time tasks with dynamic suspending behavior under fixed-priority scheduling
WH Huang, JJ Chen, H Zhou, C Liu
2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2015
Hermes attack: Steal {DNN} models with lossless inference accuracy
Y Zhu, Y Cheng, H Zhou, Y Lu
30th USENIX Security Symposium (USENIX Security 21), 2021
Task mapping in heterogeneous embedded systems for fast completion time
H Zhou, C Liu
2014 International conference on embedded software (EMSOFT), 1-10, 2014
Predjoule: A timing-predictable energy optimization framework for deep neural networks
S Bateni, H Zhou, Y Zhu, C Liu
2018 IEEE Real-Time Systems Symposium (RTSS), 107-118, 2018
An energy-efficient offloading framework with predictable temporal correctness
Z Dong, Y Liu, H Zhou, X Xiao, Y Gu, L Zhang, C Liu
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, 1-12, 2017
Simulee: Detecting cuda synchronization bugs via memory-access modeling
M Wu, Y Ouyang, H Zhou, L Zhang, C Liu, Y Zhang
2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE …, 2020
Characterizing and detecting cuda program bugs
M Wu, H Zhou, L Zhang, C Liu, Y Zhang
arXiv preprint arXiv:1905.01833, 2019
Supporting Dynamic {GPU} Computing Result Reuse in the Cloud
H Zhou, Y Fu, C Liu
7th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 15), 2015
Efficient algorithms for task mapping on heterogeneous CPU/GPU platforms for fast completion time
Z Li, Y Zhang, A Ding, H Zhou, C Liu
Journal of Systems Architecture 114, 101936, 2021
Adaptive parallelism of task execution on machines with accelerators
LL Fong, W Tan, X Xie, H Zhou
US Patent 10,203,988, 2019
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems. CoRR abs/1812.10812 (2018)
H Zhou, W Li, Y Zhu, Y Zhang, B Yu, L Zhang, C Liu
arXiv preprint arXiv:1812.10812, 2018
GRU: Exploring Computation and Data Redundancy via Partial GPU Computing Result Reuse
H Zhou, S Bateni, C Liu
Proceedings of the 32nd ACM International Conference on Supercomputing (ICS …, 2018
gGuard: Enabling Leakage-Resilient Memory Isolation in GPU-accelerated Autonomous Embedded Systems
Y Yadlapalli, H Zhou, Y Zhang, C Liu
2021 58th ACM/IEEE Design Automation Conference (DAC), 817-822, 2021
Predictable GPGPU Computing in DNN-Driven Autonomous Systems
H Zhou
GRU: A Dynamic GPU Computing Result Reuse System for Cloud Computing
H Zhou, C Liu
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