Efficient federated learning for cloud-based AIoT applications X Zhang, M Hu, J Xia, T Wei, M Chen, S Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 59 | 2020 |
Eliminating backdoor triggers for deep neural networks using attention relation graph distillation J Xia, T Wang, J Ding, X Wei, M Chen International Joint Conferences on Artificial Intelligence, 2022 | 26 | 2022 |
Design and implementation of YOLOv2 accelerator based on Zynq7000 FPGA heterogeneous platform C Chen, C Zhilei, XIA Jun Journal of frontiers of computer science & technology 13 (10), 1677, 2019 | 18 | 2019 |
Efficient federated learning for AIoT applications using knowledge distillation T Liu*, J Xia*, Z Ling, X Fu, S Yu, M Chen IEEE Internet of Things Journal 10 (8), 7229-7243, 2022 | 17 | 2022 |
PervasiveFL: Pervasive federated learning for heterogeneous IoT systems J Xia, T Liu, Z Ling, T Wang, X Fu, M Chen IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 12 | 2022 |
Fedentropy: Efficient device grouping for federated learning using maximum entropy judgment Z Ling, Z Yue, J Xia, M Hu, T Wang, M Chen arXiv preprint arXiv:2205.12038, 2022 | 9 | 2022 |
基于 Zynq7000 FPGA 异构平台的 YOLOv2 加速器设计与实现 陈辰, 柴志雷, 夏珺 计算机科学与探索 13 (10), 1677, 2019 | 8 | 2019 |
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis R Qin, J Xia, Z Jia, M Jiang, A Abbasi, P Zhou, J Hu, Y Shi Design Automation Conference 2024, 2023 | 5 | 2023 |
Protect federated learning against backdoor attacks via data-free trigger generation Y Yang, M Hu, Y Cao, J Xia, Y Huang, Y Liu, M Chen arXiv preprint arXiv:2308.11333, 2023 | 4 | 2023 |
A PYNQ-compliant online platform for ZYNQ-based DNN developers C Chen, J Xia, W Yang, K Li, Z Chai Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019 | 4 | 2019 |
Gitfl: Adaptive asynchronous federated learning using version control M Hu, Z Xia, Z Yue, J Xia, Y Huang, Y Liu, M Chen arXiv preprint arXiv:2211.12049, 2022 | 3 | 2022 |
GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning using Version Control M Hu, Z Xia, D Yan, Z Yue, J Xia, Y Huang, Y Liu, M Chen 2023 IEEE Real-Time Systems Symposium (RTSS), 145-157, 2023 | 2 | 2023 |
Model-Contrastive Learning for Backdoor Elimination Z Yue, J Xia, Z Ling, M Hu, T Wang, X Wei, M Chen Proceedings of the 31st ACM International Conference on Multimedia, 8869-8880, 2023 | 2* | 2023 |
Automated synthesis of safe timing behaviors for requirements models using CCSL M Hu, J Xia, M Zhang, X Chen, F Mallet, M Chen IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | 2 | 2023 |
Accelerated synthesis of neural network-based barrier certificates using collaborative learning J Xia, M Hu, X Chen, M Chen Proceedings of the 59th ACM/IEEE Design Automation Conference, 1201-1206, 2022 | 2 | 2022 |
An ensemble learning-based cooperative defensive architecture against adversarial attacks T Liu, Y Song, M Hu, J Xia, J Zhang, M Chen Journal of Circuits, Systems and Computers 30 (02), 2150025, 2021 | 2 | 2021 |
Decouple and stretch: a boost to channel pruning Z Chen, J Lin, S Liu, J Xia, W Li 2018 IEEE 37th International Performance Computing and Communications …, 2018 | 2 | 2018 |
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems R Liu, M Hu, Z Xia, J Xia, P Zhang, Y Huang, Y Liu, M Chen arXiv preprint arXiv:2311.14037, 2023 | 1 | 2023 |
HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation J Xia, Y Zhang, Z Yue, M Hu, X Wei, M Chen arXiv preprint arXiv:2212.02006, 2022 | 1 | 2022 |
Design of HEVC intra model decision based on Zynq Z Cui, J Xia, Y Wang, G Shi, W Yan 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2019 | 1 | 2019 |