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ORCIDJianchun Liu
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2020 – today
- 2024
[j27]Jianchun Liu
, Yujia Huo, Pengcheng Qu, Sun Xu, Zhi Liu, Qianpiao Ma, Jinyang Huang:
FedCD: A Hybrid Federated Learning Framework for Efficient Training With IoT Devices. IEEE Internet Things J. 11(11): 20040-20050 (2024)- [j26]Jinyang Huang, Jia-Xuan Bai, Xiang Zhang, Zhi Liu, Yuanhao Feng, Jianchun Liu, Xiao Sun, Mianxiong Dong, Meng Li:
KeystrokeSniffer: An Off-the-Shelf Smartphone Can Eavesdrop on Your Privacy From Anywhere. IEEE Trans. Inf. Forensics Secur. 19: 6840-6855 (2024) - [j25]Zhenguo Ma, Yang Xu, Hongli Xu, Jianchun Liu, Yinxing Xue:
Like Attracts Like: Personalized Federated Learning in Decentralized Edge Computing. IEEE Trans. Mob. Comput. 23(2): 1080-1096 (2024) - [j24]Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chen Qian, Chunming Qiao:
Computation and Communication Efficient Federated Learning With Adaptive Model Pruning. IEEE Trans. Mob. Comput. 23(3): 2003-2021 (2024) - [j23]Yang Xu, Lun Wang, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang:
Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection. IEEE Trans. Mob. Comput. 23(4): 2813-2831 (2024) - [j22]Yang Xu, Zhenguo Ma, Hongli Xu, Suo Chen, Jianchun Liu, Yinxing Xue:
FedLC: Accelerating Asynchronous Federated Learning in Edge Computing. IEEE Trans. Mob. Comput. 23(5): 5327-5343 (2024) - [j21]Jianchun Liu, Jiaming Yan, Hongli Xu, Zhiyuan Wang, Jinyang Huang, Yang Xu:
Finch: Enhancing Federated Learning With Hierarchical Neural Architecture Search. IEEE Trans. Mob. Comput. 23(5): 6012-6026 (2024) - [j20]Jinyang Huang, Bin Liu, Chenglin Miao, Xiang Zhang, Jianchun Liu, Lu Su, Zhi Liu, Yu Gu:
PhyFinAtt: An Undetectable Attack Framework Against PHY Layer Fingerprint-Based WiFi Authentication. IEEE Trans. Mob. Comput. 23(7): 7753-7770 (2024) - [j19]Qianpiao Ma, Yang Xu, Hongli Xu, Jianchun Liu, Liusheng Huang:
FedUC: A Unified Clustering Approach for Hierarchical Federated Learning. IEEE Trans. Mob. Comput. 23(10): 9737-9756 (2024) - [j18]Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chunming Qiao:
Semi-Supervised Decentralized Machine Learning With Device-to-Device Cooperation. IEEE Trans. Mob. Comput. 23(10): 9757-9771 (2024) - [j17]Zhiwei Yao, Jianchun Liu, Hongli Xu, Lun Wang, Chen Qian, Yunming Liao:
Ferrari: A Personalized Federated Learning Framework for Heterogeneous Edge Clients. IEEE Trans. Mob. Comput. 23(10): 10031-10045 (2024) - [j16]Jiaming Yan, Jianchun Liu, Hongli Xu, Zhiyuan Wang, Chunming Qiao:
Peaches: Personalized Federated Learning With Neural Architecture Search in Edge Computing. IEEE Trans. Mob. Comput. 23(11): 10296-10312 (2024) - [j15]Jianchun Liu, Qingmin Zeng, Hongli Xu, Yang Xu, Zhiyuan Wang, He Huang:
Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning. IEEE/ACM Trans. Netw. 32(1): 791-805 (2024) - [j14]Jun Liu, Jianchun Liu, Hongli Xu, Yunming Liao, Zhiyuan Wang, Qianpiao Ma:
YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning. IEEE/ACM Trans. Netw. 32(2): 1768-1780 (2024) - [j13]Jianchun Liu, Shilong Wang, Hongli Xu, Yang Xu, Yunming Liao, Jinyang Huang, He Huang:
Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks. IEEE/ACM Trans. Netw. 32(4): 3468-3484 (2024) - [j12]Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu, Suo Chen:
FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training. IEEE Trans. Parallel Distributed Syst. 35(2): 221-236 (2024) - [c13]Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou:
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. INFOCOM 2024: 831-840 - [c12]Xianjun Gao, Jianchun Liu, Hongli Xu, Qianpiao Ma, Lun Wang:
Towards Communication-Efficient Federated Graph Learning: An Adaptive Client Selection Perspective. IWQoS 2024: 1-10 - [c11]Bodong Yan, Yangming Zhao, Sun Xu, Jianchun Liu, Hongli Xu:
LHCC: Low-Latency and Hi-Precision Congestion Control in RDMA Datacenter Networks. IWQoS 2024: 1-10 - [c10]Qianpiao Ma, Jianchun Liu, Qingmin Jia, Xiaomao Zhou, Yujiao Hu, Renchao Xie:
Dynamic Staleness Control for Asynchronous Federated Learning in Decentralized Topology. WASA (2) 2024: 99-117 - [i2]Longwen Wang, Jianchun Liu, Zhi Liu, Jinyang Huang:
Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs. CoRR abs/2408.11662 (2024) - 2023
- [j11]Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu:
CoopFL: Accelerating federated learning with DNN partitioning and offloading in heterogeneous edge computing. Comput. Networks 220: 109490 (2023) - [j10]Jianchun Liu, Hongli Xu, Lun Wang, Yang Xu, Chen Qian, Jinyang Huang, He Huang:
Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing. IEEE Trans. Mob. Comput. 22(2): 674-690 (2023) - [j9]Zhiyuan Wang, Hongli Xu, Jianchun Liu, Yang Xu, He Huang, Yangming Zhao:
Accelerating Federated Learning With Cluster Construction and Hierarchical Aggregation. IEEE Trans. Mob. Comput. 22(7): 3805-3822 (2023) - [j8]Yang Xu, Yunming Liao, Hongli Xu, Zhenguo Ma, Lun Wang, Jianchun Liu:
Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning. IEEE Trans. Mob. Comput. 22(10): 5675-5689 (2023) - [c9]Pengcheng Qu, Jianchun Liu, Zhiyuan Wang, Qianpiao Ma, Jinyang Huang:
FedCD: A Hybrid Centralized-Decentralized Architecture for Efficient Federated Learning. ICPADS 2023: 964-971 - [c8]Qingmin Zeng, Jianchun Liu, Hongli Xu, Zhiyuan Wang, Yang Xu, Yangming Zhao:
Enhanced Federated Learning with Adaptive Block-wise Regularization and Knowledge Distillation. IWQoS 2023: 1-4 - [i1]Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou:
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. CoRR abs/2312.01617 (2023) - 2022
- [j7]Min Chen, Haichuan Wang, Zeyu Meng, Hongli Xu, Yang Xu, Jianchun Liu, He Huang:
Joint Data Collection and Resource Allocation for Distributed Machine Learning at the Edge. IEEE Trans. Mob. Comput. 21(8): 2876-2894 (2022) - [j6]Hongli Xu, Peng Xi, Gongming Zhao, Jianchun Liu, Chen Qian, Liusheng Huang:
SAFE-ME: Scalable and Flexible Policy Enforcement in Middlebox Networks. IEEE/ACM Trans. Netw. 30(5): 2246-2261 (2022) - [c7]Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang:
Enhancing Federated Learning with In-Cloud Unlabeled Data. ICDE 2022: 136-149 - [c6]Jianchun Liu, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang:
Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. ICDE 2022: 1586-1597 - 2021
- [j5]Xuwei Yang, Hongli Xu, Jianchun Liu, Chen Qian, Xingpeng Fan, He Huang, Haibo Wang:
Achieving high reliability and throughput in software defined networks. Comput. Networks 197: 108271 (2021) - [j4]Jianchun Liu, Hongli Xu, Yang Xu, Zhenguo Ma, Zhiyuan Wang, Chen Qian, He Huang:
Communication-efficient asynchronous federated learning in resource-constrained edge computing. Comput. Networks 199: 108429 (2021) - [j3]Jianchun Liu, Hongli Xu, Gongming Zhao, Chen Qian, Xingpeng Fan, Xuwei Yang, He Huang:
Incremental Server Deployment for Software-Defined NFV-Enabled Networks. IEEE/ACM Trans. Netw. 29(1): 248-261 (2021) - [c5]Zhiyuan Wang, Hongli Xu, Jianchun Liu, He Huang, Chunming Qiao, Yangming Zhao:
Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing. INFOCOM 2021: 1-10 - 2020
- [j2]Haibo Wang, Hongli Xu, Chen Qian, Juncheng Ge, Jianchun Liu, He Huang:
PrePass: Load balancing with data plane resource constraints using commodity SDN switches. Comput. Networks 178: 107339 (2020) - [c4]Jianchun Liu, Hongli Xu, Gongming Zhao, Chen Qian, Xingpeng Fan, Liusheng Huang:
Incremental Server Deployment for Scalable NFV-enabled Networks. INFOCOM 2020: 2361-2370
2010 – 2019
- 2019
- [j1]Hongli Xu, Jianchun Liu, Chen Qian, He Huang, Chunming Qiao:
Reducing controller response time with hybrid routing in software defined networks. Comput. Networks 164 (2019) - [c3]Haichuan Wang, Xi Chen, Hongli Xu, Jianchun Liu, Liusheng Huang:
Joint Job Offloading and Resource Allocation for Distributed Deep Learning in Edge Computing. HPCC/SmartCity/DSS 2019: 734-741 - [c2]Shishuang Wang, Hongli Xu, Liusheng Huang, Xuwei Yang, Jianchun Liu:
Fast Recovery for Single Link Failure with Segment Routing in SDNs. HPCC/SmartCity/DSS 2019: 2013-2018 - [c1]Gongming Zhao, Hongli Xu, Jianchun Liu, Chen Qian, Juncheng Ge, Liusheng Huang:
SAFE-ME: Scalable and Flexible Middlebox Policy Enforcement with Software Defined Networking. ICNP 2019: 1-11
Coauthor Index
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