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 | 43 | 2019 |
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 | 39 | 2020 |
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 | 19 | 2021 |
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 | 8 | 2019 |
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 | 7 | 2021 |
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 | 6 | 2022 |
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 | 5 | 2018 |
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 | 3 | 2023 |
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 | 3 | 2022 |
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 | 3 | 2021 |
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 | 3 | 2020 |
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 | | |