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Jing Cao
Jing Cao
Verified email at mail.ustc.edu.cn
Title
Cited by
Cited by
Year
A hardware and software task-scheduling framework based on CPU+ FPGA heterogeneous architecture in edge computing
Z Zhu, J Zhang, J Zhao, J Cao, D Zhao, G Jia, Q Meng
IEEE Access 7, 148975-148988, 2019
432019
WinoNN: Optimizing FPGA-based convolutional neural network accelerators using sparse Winograd algorithm
X Wang, C Wang, J Cao, L Gong, X Zhou
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
392020
HADFL: Heterogeneity-aware decentralized federated learning framework
J Cao, Z Lian, W Liu, Z Zhu, C Ji
2021 58th ACM/IEEE Design Automation Conference (DAC), 1-6, 2021
192021
A thread-oriented memory resource management framework for mobile edge computing
Z Zhu, F Wu, J Cao, X Li, G Jia
IEEE Access 7, 45881-45890, 2019
82019
Sap-sgd: Accelerating distributed parallel training with high communication efficiency on heterogeneous clusters
J Cao, Z Zhu, X Zhou
2021 IEEE International Conference on Cluster Computing (CLUSTER), 94-102, 2021
72021
Sniper: cloud-edge collaborative inference scheduling with neural network similarity modeling
W Liu, J Geng, Z Zhu, J Cao, Z Lian
Proceedings of the 59th ACM/IEEE Design Automation Conference, 505-510, 2022
62022
Impacts of memory address mapping scheme on reducing DRAM self-refresh power for mobile computing devices
Z Zhu, J Cao, X Li, J Zhang, Y Xu, G Jia
IEEE Access 6, 78513-78520, 2018
52018
HAP: A spatial-von neumann heterogeneous automata processor with optimized resource and IO overhead on FPGA
X Wang, L Gong, J Cao, W Lou, W Wang, C Wang, X Zhou
Proceedings of the 2023 ACM/SIGDA International Symposium on Field …, 2023
32023
FedNorm: An Efficient Federated Learning Framework with Dual Heterogeneity Coexistence on Edge Intelligence Systems
Z Lian, W Liu, J Cao, Z Zhu, X Zhou
2022 IEEE 40th International Conference on Computer Design (ICCD), 619-626, 2022
32022
AGQFL: communication-efficient federated learning via automatic gradient quantization in edge heterogeneous systems
Z Lian, J Cao, Y Zuo, W Liu, Z Zhu
2021 IEEE 39th International Conference on Computer Design (ICCD), 551-558, 2021
32021
Highly secure edge-intelligent electric motorcycle management system for elevators
Z Zhu, J Cao, T Hao, W Zhai, B Sun, G Jia, M Li
Journal of Cloud Computing 9 (1), 41, 2020
32020
FedStar: Efficient Federated Learning On Heterogeneous Communication Networks
J Cao, R Wei, Q Cao, Y Zheng, Z Zhu, C Ji, X Zhou
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
2023
GOFL: An Accurate and Efficient Federated Learning Framework Based on Gradient Optimization in Heterogeneous IoT Systems
Z Lian, J Cao, Z Zhu, X Zhou, W Liu
IEEE Internet of Things Journal, 2023
2023
Ability-aware knowledge distillation for resource-constrained embedded devices
Y Xiong, W Zhai, X Xu, J Wang, Z Zhu, C Ji, J Cao
Journal of Systems Architecture 141, 102912, 2023
2023
Heter-Train: A Distributed Training Framework Based on Semi-Asynchronous Parallel Mechanism for Heterogeneous Intelligent Transportation Systems
J Geng, J Cao, H Jia, Z Zhu, H Fang, C Gao, C Ji, G Jia, G Han, X Zhou
IEEE Transactions on Intelligent Transportation Systems, 2023
2023
A Fuzzy Fan Speed Controller for Smart Data Processing Device
J Ding, W Liu, Z Zhu, R Zhang, J Cao, G Jia
2020 International Conferences on Internet of Things (iThings) and IEEE …, 2020
2020
10.3 A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning.................. 13
J Cao, Z Lian, W Liu, Z Zhu, C Ji, AH Cano, C Zhou, X Yin, M Imani
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