| 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 Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 196* | 2020 |
| 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 | 119 | 2021 |
| 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 | 102 | 2018 |
| 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 | 86 | 2015 |
| PASS: Priority assignment of real-time tasks with dynamic suspending behavior under fixed-priority scheduling WH Huang, JJ Chen, H Zhou, C Liu Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015 | 48 | 2015 |
| 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 | 47 | 2018 |
| Task mapping in heterogeneous embedded systems for fast completion time H Zhou, C Liu Proceedings of the 14th International Conference on Embedded Software, 1-10, 2014 | 30 | 2014 |
| Simulee: Detecting cuda synchronization bugs via memory-access modeling M Wu, Y Ouyang, H Zhou, L Zhang, C Liu, Y Zhang Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 22 | 2020 |
| 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 | 20 | 2017 |
| 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 | 17 | 2021 |
| Characterizing and detecting cuda program bugs M Wu, H Zhou, L Zhang, C Liu, Y Zhang arXiv preprint arXiv:1905.01833, 2019 | 10 | 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 | 10 | 2015 |
| 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 | 4 | 2021 |
| Adaptive parallelism of task execution on machines with accelerators LL Fong, W Tan, X Xie, H Zhou US Patent 10,203,988, 2019 | 4 | 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 | 2 | 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 | 1 | 2018 |
| Memory coherency in application-level virtualization A Cully, D Veljko, H Zhou, H Kim US Patent 12,072,804, 2024 | | 2024 |
| Radium: Transparent Distributed Execution via Process Virtualization A Cully, D Veljko, H Kim, V Miller, H Zhou, J Zambrano, M Memon SC'23, 2023 | | 2023 |
| Predictable GPGPU Computing in DNN-Driven Autonomous Systems H Zhou | | 2018 |
| GRU: A Dynamic GPU Computing Result Reuse System for Cloud Computing H Zhou, C Liu | | |
Cong LiuUniversity of California Riverside, Associate ProfessorVerified email at ucr.edu
