Jun Xia

According to our database, Jun Xia authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective.

Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi

CoRR, 2024

Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation.

Gelei Xu, Ningzhi Tang, Jun Xia, Wei Jin, Yiyu Shi

CoRR, 2024

Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client.

Jun Xia, Yiyu Shi

CoRR, 2024

Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis.

Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Automated Synthesis of Safe Timing Behaviors for Requirements Models Using CCSL.

Ming Hu, Jun Xia, Min Zhang, Xiaohong Chen, Frédéric Mallet, Mingsong Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

Efficient Federated Learning for AIoT Applications Using Knowledge Distillation.

Tian Liu, Jun Xia, Zhiwei Ling, Xin Fu, Shui Yu, Mingsong Chen

IEEE Internet Things J., 2023

AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems.

Ruixuan Liu, Ming Hu, Zeke Xia, Jun Xia, Pengyu Zhang, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2023

Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning.

Dengke Yan, Ming Hu, Zeke Xia, Yanxin Yang, Jun Xia, Xiaofei Xie, Mingsong Chen

CoRR, 2023

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks.

Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Xian Wei, Mingsong Chen

CoRR, 2023

Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation.

Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2023

GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control.

Ming Hu, Zeke Xia, Dengke Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

Proceedings of the IEEE Real-Time Systems Symposium, 2023

Model-Contrastive Learning for Backdoor Elimination.

Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection.

Zhiwei Ling, Zhihao Yue, Jun Xia, Ting Wang, Mingsong Chen, Xiang Lian

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems.

Jun Xia, Tian Liu, Zhiwei Ling, Ting Wang, Xin Fu, Mingsong Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation.

Jun Xia, Yi Zhang, Zhihao Yue, Ming Hu, Xian Wei, Mingsong Chen

CoRR, 2022

GitFL: Adaptive Asynchronous Federated Learning using Version Control.

Ming Hu, Zeke Xia, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2022

FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment.

Zhiwei Ling, Zhihao Yue, Jun Xia, Ming Hu, Ting Wang, Mingsong Chen

CoRR, 2022

Model-Contrastive Learning for Backdoor Defense.

Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen

CoRR, 2022

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation.

Jun Xia, Ting Wang, Jiepin Ding, Xian Wei, Mingsong Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Accelerated synthesis of neural network-based barrier certificates using collaborative learning.

Jun Xia, Ming Hu, Xin Chen, Mingsong Chen

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Efficient Federated Learning for Cloud-Based AIoT Applications.

Xinqian Zhang, Ming Hu, Jun Xia, Tongquan Wei, Mingsong Chen, Shiyan Hu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

An Ensemble Learning-Based Cooperative Defensive Architecture Against Adversarial Attacks.

Tian Liu, Yunfei Song, Ming Hu, Jun Xia, Jianning Zhang, Mingsong Chen

J. Circuits Syst. Comput., 2021

Efficient Federated Learning for AIoT Applications Using Knowledge Distillation.

Tian Liu, Jun Xia, Xian Wei, Ting Wang, Xin Fu, Mingsong Chen

CoRR, 2021

2019

A PYNQ-compliant Online Platform for Zynq-based DNN Developers.

Chen Chen, Jun Xia, Wenmin Yang, Kang Li, Zhilei Chai

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018

Decouple and Stretch: A Boost to Channel Pruning.

Zhen Chen, Jianxin Lin, Sen Liu, Jun Xia, Weiping Li

Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018