Jianchun Liu

According to our database, Jianchun Liu authored at least 78 papers between 2019 and 2026.

Collaborative distances:

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

2026

Toward Communication-Efficient Decentralized Federated Graph Learning Over Non-IID Data.

Shilong Wang, Jianchun Liu, Hongli Xu, Chenxia Tang, Qianpiao Ma, Liusheng Huang

IEEE Trans. Mob. Comput., May, 2026

FedQuad: Adaptive Layer-Wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning.

Jianchun Liu, Rukuo Li, Hongli Xu, Qianpiao Ma, Jiaming Yan, Liusheng Huang

IEEE Trans. Mob. Comput., May, 2026

Bandwidth-Aware and Cost-Efficient Pipeline Parallel Scheduling in Geo-Distributed LLM Training.

Han Zhang, Jianchun Liu, Hongli Xu

CoRR, May, 2026

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning.

Weihang Li, Jianchun Liu, Hongli Xu

CoRR, April, 2026

Beyond Physical Labels: Redefining Domains for Robust WiFi-based Gesture Recognition.

Xiang Zhang, Huan Yan, Jinyang Huang, Bin Liu, Yuanhao Feng, Jianchun Liu, Meng Li, Fusang Zhang, Zhi Liu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2026

Asynchronous Federated Learning Over Non-IID Data via Over-the-Air Computation.

Qianpiao Ma, Xiaozhu Song, Junlong Zhou, Haibo Wang, Yunming Liao, Jianchun Liu, Hongli Xu

IEEE Trans. Netw., 2026

Accelerating Decentralized Federated Learning With Probabilistic Communication in Heterogeneous Edge Computing.

Jianchun Liu, Jiaming Yan, Hongli Xu, Lun Wang, Zhiyuan Wang, Jinyang Huang, Chunming Qiao

IEEE Trans. Netw., 2026

Identifying Who You Are No Matter What You Write Through Abstracting Handwriting Style.

Jinyang Huang, Yuanhao Feng, Feng-Qi Cui, Xiang Zhang, Zhi Liu, Xin Liu, Jianchun Liu, Fusang Zhang, Meng Li

IEEE Trans. Dependable Secur. Comput., 2026

Enhancing federated unlearning using catastrophic forgetting in heterogeneous Industrial Internet of Things.

Zhenguo Ma, Zixuan He, Yanjing Sun, Hongli Xu, Jianchun Liu, Yang Xu, Yafei Lu, Rui Zhang

Comput. Commun., 2026

MSFramework: Multi-stage similarity-based key flow identification in high-speed networks.

Tianyi Zhang, Guoju Gao, Yu-E Sun, He Huang, Jianchun Liu, Haibo Wang, Yang Du

Comput. Networks, 2026

Caesar: Optimizing Federated Learning via Low-deviation Compression.

Jiaming Yan, Jianchun Liu, Hongli Xu, Zhenguo Ma, Shilong Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices.

Jun Liu, Yunming Liao, Hongli Xu, Yang Xu, Jianchun Liu, Chen Qian

IEEE Trans. Mob. Comput., November, 2025

FedACS: An Adaptive Client Selection Framework for Communication-Efficient Federated Graph Learning.

Hongli Xu, Xianjun Gao, Jianchun Liu, Qianpiao Ma, Liusheng Huang

IEEE Trans. Mob. Comput., October, 2025

FRACTAL: Data-Aware Clustering and Communication Optimization for Decentralized Federated Learning.

Qianpiao Ma, Jianchun Liu, Hongli Xu, Qingmin Jia, Renchao Xie

IEEE Trans. Big Data, October, 2025

Improving LLM Reasoning via Dependency-Aware Query Decomposition and Logic-Parallel Content Expansion.

Xianjun Gao, Jianchun Liu, Hongli Xu, Liusheng Huang

CoRR, October, 2025

SABlock: Semantic-Aware KV Cache Eviction with Adaptive Compression Block Size.

Jinhan Chen, Jianchun Liu, Hongli Xu, Xianjun Gao, Shilong Wang

CoRR, October, 2025

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data.

Shilong Wang, Jianchun Liu, Hongli Xu, Chenxia Tang, Qianpiao Ma, Liusheng Huang

CoRR, September, 2025

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism.

Jiaming Yan, Jianchun Liu, Hongli Xu, Liusheng Huang

CoRR, September, 2025

Adaptive KV-Cache Compression without Manually Setting Budget.

Chenxia Tang, Jianchun Liu, Hongli Xu, Liusheng Huang

CoRR, September, 2025

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning.

Yujia Huo, Jianchun Liu, Hongli Xu, Zhenguo Ma, Shilong Wang, Liusheng Huang

CoRR, June, 2025

FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning.

Rukuo Li, Jianchun Liu, Hongli Xu, Liusheng Huang

CoRR, June, 2025

Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing.

Jianchun Liu, Jun Liu, Hongli Xu, Yunming Liao, Zhiwei Yao, Min Chen, Chen Qian

IEEE Trans. Mob. Comput., March, 2025

Collaborative Speculative Inference for Efficient LLM Inference Serving.

Luyao Gao, Jianchun Liu, Hongli Xu, Liusheng Huang

CoRR, March, 2025

Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout.

Shilong Wang, Jianchun Liu, Hongli Xu, Jiaming Yan, Xianjun Gao

CoRR, March, 2025

Adaptive Local Update and Neural Composition for Accelerating Federated Learning in Heterogeneous Edge Networks.

Jianchun Liu, Jiaming Yan, Ji Qi, Hongli Xu, Shilong Wang, Chunming Qiao, Liusheng Huang

IEEE Trans. Netw., 2025

FedSNN: Training Slimmable Neural Network With Federated Learning in Edge Computing.

Yang Xu, Yunming Liao, Hongli Xu, Zhiyuan Wang, Lun Wang, Jianchun Liu, Chen Qian

IEEE Trans. Netw., 2025

Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-The-Air Computation.

Qianpiao Ma, Junlong Zhou, Xiangpeng Hou, Jianchun Liu, Hongli Xu, Jianeng Miao, Qingmin Jia

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

Towards Lightweight Traffic Forecasting in RDMA Networks: Design and Application.

Cheng Yang, Xiaoning Zhang, Bodong Yan, Sun Xu, Bingyi Liu, Jianchun Liu

Proceedings of the IEEE INFOCOM 2025, 2025

Accelerating End-Cloud Collaborative Inference via Near Bubble-Free Pipeline Optimization.

Luyao Gao, Jianchun Liu, Hongli Xu, Sun Xu, Qianpiao Ma, Liusheng Huang

Proceedings of the IEEE INFOCOM 2025, 2025

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching.

Wenyi Liang, Jianchun Liu, Hongli Xu, Chunming Qiao, Liusheng Huang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Towards High-Performance and Compatible RDMA Networks with Receiver-Based and Fine-Grained Congestion Control.

Jun Xu, Jianchun Liu, Hongli Xu, Yangming Zhao, Zhuolong Yu

Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

Tackling Non-IID Graphs via Decoupled Structure and Feature in Federated Graph Learning.

Longwen Wang, Jianchun Liu, Xianjun Gao, Zhi Liu, Jinyang Huang

Proceedings of the Database Systems for Advanced Applications, 2025

Top-nσ: Eliminating Noise in Logit Space for Robust Token Sampling of LLM.

Chenxia Tang, Jianchun Liu, Hongli Xu, Liusheng Huang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Peaches: Personalized Federated Learning With Neural Architecture Search in Edge Computing.

Jiaming Yan, Jianchun Liu, Hongli Xu, Zhiyuan Wang, Chunming Qiao

IEEE Trans. Mob. Comput., November, 2024

Ferrari: A Personalized Federated Learning Framework for Heterogeneous Edge Clients.

Zhiwei Yao, Jianchun Liu, Hongli Xu, Lun Wang, Chen Qian, Yunming Liao

IEEE Trans. Mob. Comput., October, 2024

FedUC: A Unified Clustering Approach for Hierarchical Federated Learning.

Qianpiao Ma, Yang Xu, Hongli Xu, Jianchun Liu, Liusheng Huang

IEEE Trans. Mob. Comput., October, 2024

Semi-Supervised Decentralized Machine Learning With Device-to-Device Cooperation.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chunming Qiao

IEEE Trans. Mob. Comput., October, 2024

Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks.

Jianchun Liu, Shilong Wang, Hongli Xu, Yang Xu, Yunming Liao, Jinyang Huang, He Huang

IEEE/ACM Trans. Netw., August, 2024

PhyFinAtt: An Undetectable Attack Framework Against PHY Layer Fingerprint-Based WiFi Authentication.

Jinyang Huang, Bin Liu, Chenglin Miao, Xiang Zhang, Jianchun Liu, Lu Su, Zhi Liu, Yu Gu

IEEE Trans. Mob. Comput., July, 2024

FedCD: A Hybrid Federated Learning Framework for Efficient Training With IoT Devices.

Jianchun Liu, Yujia Huo, Pengcheng Qu, Sun Xu, Zhi Liu, Qianpiao Ma, Jinyang Huang

IEEE Internet Things J., June, 2024

FedLC: Accelerating Asynchronous Federated Learning in Edge Computing.

Yang Xu, Zhenguo Ma, Hongli Xu, Suo Chen, Jianchun Liu, Yinxing Xue

IEEE Trans. Mob. Comput., May, 2024

Finch: Enhancing Federated Learning With Hierarchical Neural Architecture Search.

Jianchun Liu, Jiaming Yan, Hongli Xu, Zhiyuan Wang, Jinyang Huang, Yang Xu

IEEE Trans. Mob. Comput., May, 2024

YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning.

Jun Liu, Jianchun Liu, Hongli Xu, Yunming Liao, Zhiyuan Wang, Qianpiao Ma

IEEE/ACM Trans. Netw., April, 2024

Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection.

Yang Xu, Lun Wang, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang

IEEE Trans. Mob. Comput., April, 2024

Computation and Communication Efficient Federated Learning With Adaptive Model Pruning.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chen Qian, Chunming Qiao

IEEE Trans. Mob. Comput., March, 2024

FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training.

Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu, Suo Chen

IEEE Trans. Parallel Distributed Syst., February, 2024

Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning.

Jianchun Liu, Qingmin Zeng, Hongli Xu, Yang Xu, Zhiyuan Wang, He Huang

IEEE/ACM Trans. Netw., February, 2024

Like Attracts Like: Personalized Federated Learning in Decentralized Edge Computing.

Zhenguo Ma, Yang Xu, Hongli Xu, Jianchun Liu, Yinxing Xue

IEEE Trans. Mob. Comput., February, 2024

KeystrokeSniffer: An Off-the-Shelf Smartphone Can Eavesdrop on Your Privacy From Anywhere.

Jinyang Huang, Jia-Xuan Bai, Xiang Zhang, Zhi Liu, Yuanhao Feng, Jianchun Liu, Xiao Sun, Mianxiong Dong, Meng Li

IEEE Trans. Inf. Forensics Secur., 2024

A Robust Federated Learning Framework for Undependable Devices at Scale.

Shilong Wang, Jianchun Liu, Hongli Xu, Chunming Qiao, Huarong Deng, Qiuye Zheng, Jiantao Gong

CoRR, 2024

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning.

Jiaming Yan, Jianchun Liu, Hongli Xu, Liusheng Huang, Jiantao Gong, Xudong Liu, Kun Hou

CoRR, 2024

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics.

Xianjun Gao, Jianchun Liu, Hongli Xu, Shilong Wang, Liusheng Huang

CoRR, 2024

Top-nσ: Not All Logits Are You Need.

Chenxia Tang, Jianchun Liu, Hongli Xu, Liusheng Huang

CoRR, 2024

Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs.

Longwen Wang, Jianchun Liu, Zhi Liu, Jinyang Huang

CoRR, 2024

Dynamic Staleness Control for Asynchronous Federated Learning in Decentralized Topology.

Qianpiao Ma, Jianchun Liu, Qingmin Jia, Xiaomao Zhou, Yujiao Hu, Renchao Xie

Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

LHCC: Low-Latency and Hi-Precision Congestion Control in RDMA Datacenter Networks.

Bodong Yan, Yangming Zhao, Sun Xu, Jianchun Liu, Hongli Xu

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Towards Communication-Efficient Federated Graph Learning: An Adaptive Client Selection Perspective.

Xianjun Gao, Jianchun Liu, Hongli Xu, Qianpiao Ma, Lun Wang

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks.

Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou

Proceedings of the IEEE INFOCOM 2024, 2024

2023

Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning.

Yang Xu, Yunming Liao, Hongli Xu, Zhenguo Ma, Lun Wang, Jianchun Liu

IEEE Trans. Mob. Comput., October, 2023

Accelerating Federated Learning With Cluster Construction and Hierarchical Aggregation.

Zhiyuan Wang, Hongli Xu, Jianchun Liu, Yang Xu, He Huang, Yangming Zhao

IEEE Trans. Mob. Comput., July, 2023

Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing.

Jianchun Liu, Hongli Xu, Lun Wang, Yang Xu, Chen Qian, Jinyang Huang, He Huang

IEEE Trans. Mob. Comput., 2023

CoopFL: Accelerating federated learning with DNN partitioning and offloading in heterogeneous edge computing.

Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu

Comput. Networks, 2023

Enhanced Federated Learning with Adaptive Block-wise Regularization and Knowledge Distillation.

Qingmin Zeng, Jianchun Liu, Hongli Xu, Zhiyuan Wang, Yang Xu, Yangming Zhao

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

FedCD: A Hybrid Centralized-Decentralized Architecture for Efficient Federated Learning.

Pengcheng Qu, Jianchun Liu, Zhiyuan Wang, Qianpiao Ma, Jinyang Huang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

SAFE-ME: Scalable and Flexible Policy Enforcement in Middlebox Networks.

Hongli Xu, Peng Xi, Gongming Zhao, Jianchun Liu, Chen Qian, Liusheng Huang

IEEE/ACM Trans. Netw., 2022

Joint Data Collection and Resource Allocation for Distributed Machine Learning at the Edge.

Min Chen, Haichuan Wang, Zeyu Meng, Hongli Xu, Yang Xu, Jianchun Liu, He Huang

IEEE Trans. Mob. Comput., 2022

Enhancing Federated Learning with In-Cloud Unlabeled Data.

Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing.

Jianchun Liu, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Incremental Server Deployment for Software-Defined NFV-Enabled Networks.

Jianchun Liu, Hongli Xu, Gongming Zhao, Chen Qian, Xingpeng Fan, Xuwei Yang, He Huang

IEEE/ACM Trans. Netw., 2021

Achieving high reliability and throughput in software defined networks.

Xuwei Yang, Hongli Xu, Jianchun Liu, Chen Qian, Xingpeng Fan, He Huang, Haibo Wang

Comput. Networks, 2021

Communication-efficient asynchronous federated learning in resource-constrained edge computing.

Jianchun Liu, Hongli Xu, Yang Xu, Zhenguo Ma, Zhiyuan Wang, Chen Qian, He Huang

Comput. Networks, 2021

Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing.

Zhiyuan Wang, Hongli Xu, Jianchun Liu, He Huang, Chunming Qiao, Yangming Zhao

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

PrePass: Load balancing with data plane resource constraints using commodity SDN switches.

Haibo Wang, Hongli Xu, Chen Qian, Juncheng Ge, Jianchun Liu, He Huang

Comput. Networks, 2020

Incremental Server Deployment for Scalable NFV-enabled Networks.

Jianchun Liu, Hongli Xu, Gongming Zhao, Chen Qian, Xingpeng Fan, Liusheng Huang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Reducing controller response time with hybrid routing in software defined networks.

Hongli Xu, Jianchun Liu, Chen Qian, He Huang, Chunming Qiao

Comput. Networks, 2019

SAFE-ME: Scalable and Flexible Middlebox Policy Enforcement with Software Defined Networking.

Gongming Zhao, Hongli Xu, Jianchun Liu, Chen Qian, Juncheng Ge, Liusheng Huang

Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

Fast Recovery for Single Link Failure with Segment Routing in SDNs.

Shishuang Wang, Hongli Xu, Liusheng Huang, Xuwei Yang, Jianchun Liu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Joint Job Offloading and Resource Allocation for Distributed Deep Learning in Edge Computing.

Haichuan Wang, Xi Chen, Hongli Xu, Jianchun Liu, Liusheng Huang

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019