Jianchun Liu - RankMe

82 papers A* 8A 1B 6Journal 60Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Decentralized Federated Learning With Probabilistic Communication in Heterogeneous Edge Computing. IEEE Trans. Netw. Jianchun Liu, Jiaming Yan, Hongli Xu, Lun Wang, Zhiyuan Wang, Jinyang Huang, Chunming Qiao
2026	J	`jnl`	Asynchronous Federated Learning Over Non-IID Data via Over-the-Air Computation. IEEE Trans. Netw. Qianpiao Ma, Xiaozhu Song, Junlong Zhou, Haibo Wang, Yunming Liao, Jianchun Liu, Hongli Xu
2026	J	`jnl`	Beyond Physical Labels: Redefining Domains for Robust WiFi-based Gesture Recognition. CoRR Xiang Zhang, Huan Yan, Jinyang Huang, Bin Liu, Yuanhao Feng, Jianchun Liu, Meng Li, Fusang Zhang, Zhi Liu
2026	J	`jnl`	Beyond Physical Labels: Redefining Domains for Robust WiFi-based Gesture Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Xiang Zhang, Huan Yan, Jinyang Huang, Bin Liu, Yuanhao Feng, Jianchun Liu, Meng Li, Fusang Zhang, Zhi Liu
2026	—	`conf`	Caesar: Optimizing Federated Learning via Low-deviation Compression. KDD (1) Jiaming Yan, Jianchun Liu, Hongli Xu, Zhenguo Ma, Shilong Wang
2026	J	`jnl`	Enhancing federated unlearning using catastrophic forgetting in heterogeneous Industrial Internet of Things. Comput. Commun. Zhenguo Ma, Zixuan He, Yanjing Sun, Hongli Xu, Jianchun Liu, Yang Xu, Yafei Lu, Rui Zhang
2026	J	`jnl`	FedQuad: Adaptive Layer-Wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning. IEEE Trans. Mob. Comput. Jianchun Liu, Rukuo Li, Hongli Xu, Qianpiao Ma, Jiaming Yan, Liusheng Huang
2026	J	`jnl`	MSFramework: Multi-stage similarity-based key flow identification in high-speed networks. Comput. Networks Tianyi Zhang, Guoju Gao, Yu-e Sun, He Huang, Jianchun Liu, Haibo Wang, Yang Du
2026	J	`jnl`	Toward Communication-Efficient Decentralized Federated Graph Learning Over Non-IID Data. IEEE Trans. Mob. Comput. Shilong Wang, Jianchun Liu, Hongli Xu, Chenxia Tang, Qianpiao Ma, Liusheng Huang
2025	A*	`conf`	Accelerating End-Cloud Collaborative Inference via Near Bubble-Free Pipeline Optimization. INFOCOM Luyao Gao, Jianchun Liu, Hongli Xu, Sun Xu, Qianpiao Ma, Liusheng Huang
2025	J	`jnl`	Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization. CoRR Luyao Gao, Jianchun Liu, Hongli Xu, Sun Xu, Qianpiao Ma, Liusheng Huang
2025	J	`jnl`	Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism. CoRR Jiaming Yan, Jianchun Liu, Hongli Xu, Liusheng Huang
2025	J	`jnl`	Adaptive KV-Cache Compression without Manually Setting Budget. CoRR Chenxia Tang, Jianchun Liu, Hongli Xu, Liusheng Huang
2025	J	`jnl`	Adaptive Local Update and Neural Composition for Accelerating Federated Learning in Heterogeneous Edge Networks. IEEE Trans. Netw. Jianchun Liu, Jiaming Yan, Ji Qi, Hongli Xu, Shilong Wang, Chunming Qiao, Liusheng Huang
2025	J	`jnl`	Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices. IEEE Trans. Mob. Comput. Jun Liu, Yunming Liao, Hongli Xu, Yang Xu, Jianchun Liu, Chen Qian
2025	A	`conf`	Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-The-Air Computation. IPDPS Qianpiao Ma, Junlong Zhou, Xiangpeng Hou, Jianchun Liu, Hongli Xu, Jianeng Miao, Qingmin Jia
2025	J	`jnl`	Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-the-air Computation. CoRR Qianpiao Ma, Junlong Zhou, Xiangpeng Hou, Jianchun Liu, Hongli Xu, Jianeng Miao, Qingmin Jia
2025	J	`jnl`	Collaborative Speculative Inference for Efficient LLM Inference Serving. CoRR Luyao Gao, Jianchun Liu, Hongli Xu, Liusheng Huang
2025	J	`jnl`	Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout. CoRR Shilong Wang, Jianchun Liu, Hongli Xu, Jiaming Yan, Xianjun Gao
2025	J	`jnl`	Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing. IEEE Trans. Mob. Comput. Jianchun Liu, Jun Liu, Hongli Xu, Yunming Liao, Zhiwei Yao, Min Chen, Chen Qian
2025	J	`jnl`	FRACTAL: Data-Aware Clustering and Communication Optimization for Decentralized Federated Learning. IEEE Trans. Big Data Qianpiao Ma, Jianchun Liu, Hongli Xu, Qingmin Jia, Renchao Xie
2025	J	`jnl`	FedACS: An Adaptive Client Selection Framework for Communication-Efficient Federated Graph Learning. IEEE Trans. Mob. Comput. Hongli Xu, Xianjun Gao, Jianchun Liu, Qianpiao Ma, Liusheng Huang
2025	J	`jnl`	FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning. CoRR Rukuo Li, Jianchun Liu, Hongli Xu, Liusheng Huang
2025	J	`jnl`	FedSNN: Training Slimmable Neural Network With Federated Learning in Edge Computing. IEEE Trans. Netw. Yang Xu, Yunming Liao, Hongli Xu, Zhiyuan Wang, Lun Wang, Jianchun Liu, Chen Qian
2025	J	`jnl`	Improving LLM Reasoning via Dependency-Aware Query Decomposition and Logic-Parallel Content Expansion. CoRR Xianjun Gao, Jianchun Liu, Hongli Xu, Liusheng Huang
2025	A*	`conf`	Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching. ICDE Wenyi Liang, Jianchun Liu, Hongli Xu, Chunming Qiao, Liusheng Huang
2025	J	`jnl`	Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning. CoRR Yujia Huo, Jianchun Liu, Hongli Xu, Zhenguo Ma, Shilong Wang, Liusheng Huang
2025	J	`jnl`	SABlock: Semantic-Aware KV Cache Eviction with Adaptive Compression Block Size. CoRR Jinhan Chen, Jianchun Liu, Hongli Xu, Xianjun Gao, Shilong Wang
2025	—	`conf`	Tackling Non-IID Graphs via Decoupled Structure and Feature in Federated Graph Learning. DASFAA (3) Longwen Wang, Jianchun Liu, Xianjun Gao, Zhi Liu, Jinyang Huang
2025	—	`conf`	Top-nσ: Eliminating Noise in Logit Space for Robust Token Sampling of LLM. ACL (1) Chenxia Tang, Jianchun Liu, Hongli Xu, Liusheng Huang
2025	J	`jnl`	Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data. CoRR Shilong Wang, Jianchun Liu, Hongli Xu, Chenxia Tang, Qianpiao Ma, Liusheng Huang
2025	B	`conf`	Towards High-Performance and Compatible RDMA Networks with Receiver-Based and Fine-Grained Congestion Control. ICCCN Jun Xu, Jianchun Liu, Hongli Xu, Yangming Zhao, Zhuolong Yu
2025	A*	`conf`	Towards Lightweight Traffic Forecasting in RDMA Networks: Design and Application. INFOCOM Cheng Yang, Xiaoning Zhang, Bodong Yan, Sun Xu, Bingyi Liu, Jianchun Liu
2024	J	`jnl`	A Robust Federated Learning Framework for Undependable Devices at Scale. CoRR Shilong Wang, Jianchun Liu, Hongli Xu, Chunming Qiao, Huarong Deng, Qiuye Zheng, Jiantao Gong
2024	J	`jnl`	Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning. IEEE/ACM Trans. Netw. Jianchun Liu, Qingmin Zeng, Hongli Xu, Yang Xu, Zhiyuan Wang, He Huang
2024	J	`jnl`	Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices. CoRR Jun Liu, Yunming Liao, Hongli Xu, Yang Xu, Jianchun Liu, Chen Qian
2024	J	`jnl`	Caesar: A Low-deviation Compression Approach for Efficient Federated Learning. CoRR Jiaming Yan, Jianchun Liu, Hongli Xu, Liusheng Huang, Jiantao Gong, Xudong Liu, Kun Hou
2024	J	`jnl`	Computation and Communication Efficient Federated Learning With Adaptive Model Pruning. IEEE Trans. Mob. Comput. Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chen Qian, Chunming Qiao
2024	—	`conf`	Dynamic Staleness Control for Asynchronous Federated Learning in Decentralized Topology. WASA (2) Qianpiao Ma, Jianchun Liu, Qingmin Jia, Xiaomao Zhou, Yujiao Hu, Renchao Xie
2024	J	`jnl`	Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics. CoRR Xianjun Gao, Jianchun Liu, Hongli Xu, Shilong Wang, Liusheng Huang
2024	J	`jnl`	Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection. IEEE Trans. Mob. Comput. Yang Xu, Lun Wang, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang
2024	J	`jnl`	FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training. IEEE Trans. Parallel Distributed Syst. Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu, Suo Chen
2024	J	`jnl`	FedCD: A Hybrid Federated Learning Framework for Efficient Training With IoT Devices. IEEE Internet Things J. Jianchun Liu, Yujia Huo, Pengcheng Qu, Sun Xu, Zhi Liu, Qianpiao Ma, Jinyang Huang
2024	J	`jnl`	FedLC: Accelerating Asynchronous Federated Learning in Edge Computing. IEEE Trans. Mob. Comput. Yang Xu, Zhenguo Ma, Hongli Xu, Suo Chen, Jianchun Liu, Yinxing Xue
2024	J	`jnl`	FedUC: A Unified Clustering Approach for Hierarchical Federated Learning. IEEE Trans. Mob. Comput. Qianpiao Ma, Yang Xu, Hongli Xu, Jianchun Liu, Liusheng Huang
2024	J	`jnl`	Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks. IEEE/ACM Trans. Netw. Jianchun Liu, Shilong Wang, Hongli Xu, Yang Xu, Yunming Liao, Jinyang Huang, He Huang
2024	J	`jnl`	Ferrari: A Personalized Federated Learning Framework for Heterogeneous Edge Clients. IEEE Trans. Mob. Comput. Zhiwei Yao, Jianchun Liu, Hongli Xu, Lun Wang, Chen Qian, Yunming Liao
2024	J	`jnl`	Finch: Enhancing Federated Learning With Hierarchical Neural Architecture Search. IEEE Trans. Mob. Comput. Jianchun Liu, Jiaming Yan, Hongli Xu, Zhiyuan Wang, Jinyang Huang, Yang Xu
2024	A*	`conf`	Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. INFOCOM Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou
2024	J	`jnl`	KeystrokeSniffer: An Off-the-Shelf Smartphone Can Eavesdrop on Your Privacy From Anywhere. IEEE Trans. Inf. Forensics Secur. Jinyang Huang, Jia-Xuan Bai, Xiang Zhang, Zhi Liu, Yuanhao Feng, Jianchun Liu, Xiao Sun, Mianxiong Dong, Meng Li
2024	B	`conf`	LHCC: Low-Latency and Hi-Precision Congestion Control in RDMA Datacenter Networks. IWQoS Bodong Yan, Yangming Zhao, Sun Xu, Jianchun Liu, Hongli Xu
2024	J	`jnl`	Like Attracts Like: Personalized Federated Learning in Decentralized Edge Computing. IEEE Trans. Mob. Comput. Zhenguo Ma, Yang Xu, Hongli Xu, Jianchun Liu, Yinxing Xue
2024	J	`jnl`	Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching. CoRR Wenyi Liang, Jianchun Liu, Hongli Xu, Chunming Qiao, Liusheng Huang
2024	J	`jnl`	Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs. CoRR Longwen Wang, Jianchun Liu, Zhi Liu, Jinyang Huang
2024	J	`jnl`	Peaches: Personalized Federated Learning With Neural Architecture Search in Edge Computing. IEEE Trans. Mob. Comput. Jiaming Yan, Jianchun Liu, Hongli Xu, Zhiyuan Wang, Chunming Qiao
2024	J	`jnl`	PhyFinAtt: An Undetectable Attack Framework Against PHY Layer Fingerprint-Based WiFi Authentication. IEEE Trans. Mob. Comput. Jinyang Huang, Bin Liu, Chenglin Miao, Xiang Zhang, Jianchun Liu, Lu Su, Zhi Liu, Yu Gu
2024	J	`jnl`	Semi-Supervised Decentralized Machine Learning With Device-to-Device Cooperation. IEEE Trans. Mob. Comput. Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chunming Qiao
2024	J	`jnl`	Top-nσ: Not All Logits Are You Need. CoRR Chenxia Tang, Jianchun Liu, Hongli Xu, Liusheng Huang
2024	B	`conf`	Towards Communication-Efficient Federated Graph Learning: An Adaptive Client Selection Perspective. IWQoS Xianjun Gao, Jianchun Liu, Hongli Xu, Qianpiao Ma, Lun Wang
2024	J	`jnl`	YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning. IEEE/ACM Trans. Netw. Jun Liu, Jianchun Liu, Hongli Xu, Yunming Liao, Zhiyuan Wang, Qianpiao Ma
2023	J	`jnl`	Accelerating Federated Learning With Cluster Construction and Hierarchical Aggregation. IEEE Trans. Mob. Comput. Zhiyuan Wang, Hongli Xu, Jianchun Liu, Yang Xu, He Huang, Yangming Zhao
2023	J	`jnl`	Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing. IEEE Trans. Mob. Comput. Jianchun Liu, Hongli Xu, Lun Wang, Yang Xu, Chen Qian, Jinyang Huang, He Huang
2023	J	`jnl`	Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning. IEEE Trans. Mob. Comput. Yang Xu, Yunming Liao, Hongli Xu, Zhenguo Ma, Lun Wang, Jianchun Liu
2023	J	`jnl`	CoopFL: Accelerating federated learning with DNN partitioning and offloading in heterogeneous edge computing. Comput. Networks Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu
2023	B	`conf`	Enhanced Federated Learning with Adaptive Block-wise Regularization and Knowledge Distillation. IWQoS Qingmin Zeng, Jianchun Liu, Hongli Xu, Zhiyuan Wang, Yang Xu, Yangming Zhao
2023	B	`conf`	FedCD: A Hybrid Centralized-Decentralized Architecture for Efficient Federated Learning. ICPADS Pengcheng Qu, Jianchun Liu, Zhiyuan Wang, Qianpiao Ma, Jinyang Huang
2023	J	`jnl`	Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. CoRR Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou
2022	A*	`conf`	Enhancing Federated Learning with In-Cloud Unlabeled Data. ICDE Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang
2022	A*	`conf`	Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. ICDE Jianchun Liu, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang
2022	J	`jnl`	Joint Data Collection and Resource Allocation for Distributed Machine Learning at the Edge. IEEE Trans. Mob. Comput. Min Chen, Haichuan Wang, Zeyu Meng, Hongli Xu, Yang Xu, Jianchun Liu, He Huang
2022	J	`jnl`	SAFE-ME: Scalable and Flexible Policy Enforcement in Middlebox Networks. IEEE/ACM Trans. Netw. Hongli Xu, Peng Xi, Gongming Zhao, Jianchun Liu, Chen Qian, Liusheng Huang
2021	J	`jnl`	Achieving high reliability and throughput in software defined networks. Comput. Networks Xuwei Yang, Hongli Xu, Jianchun Liu, Chen Qian, Xingpeng Fan, He Huang, Haibo Wang
2021	J	`jnl`	Communication-efficient asynchronous federated learning in resource-constrained edge computing. Comput. Networks Jianchun Liu, Hongli Xu, Yang Xu, Zhenguo Ma, Zhiyuan Wang, Chen Qian, He Huang
2021	J	`jnl`	Incremental Server Deployment for Software-Defined NFV-Enabled Networks. IEEE/ACM Trans. Netw. Jianchun Liu, Hongli Xu, Gongming Zhao, Chen Qian, Xingpeng Fan, Xuwei Yang, He Huang
2021	A*	`conf`	Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing. INFOCOM Zhiyuan Wang, Hongli Xu, Jianchun Liu, He Huang, Chunming Qiao, Yangming Zhao
2020	A*	`conf`	Incremental Server Deployment for Scalable NFV-enabled Networks. INFOCOM Jianchun Liu, Hongli Xu, Gongming Zhao, Chen Qian, Xingpeng Fan, Liusheng Huang
2020	J	`jnl`	PrePass: Load balancing with data plane resource constraints using commodity SDN switches. Comput. Networks Haibo Wang, Hongli Xu, Chen Qian, Juncheng Ge, Jianchun Liu, He Huang
2019	—	`conf`	Combined Crowdsourcing Task Auction Mechanism Based on Stable Matching. HPCC/SmartCity/DSS Lanyu Zhang, Mingjun Xiao, Hui Zhao, Jianchun Liu
2019	—	`conf`	Fast Recovery for Single Link Failure with Segment Routing in SDNs. HPCC/SmartCity/DSS Shishuang Wang, Hongli Xu, Liusheng Huang, Xuwei Yang, Jianchun Liu
2019	—	`conf`	Joint Job Offloading and Resource Allocation for Distributed Deep Learning in Edge Computing. HPCC/SmartCity/DSS Haichuan Wang, Xi Chen, Hongli Xu, Jianchun Liu, Liusheng Huang
2019	J	`jnl`	Reducing controller response time with hybrid routing in software defined networks. Comput. Networks Hongli Xu, Jianchun Liu, Chen Qian, He Huang, Chunming Qiao
2019	B	`conf`	SAFE-ME: Scalable and Flexible Middlebox Policy Enforcement with Software Defined Networking. ICNP Gongming Zhao, Hongli Xu, Jianchun Liu, Chen Qian, Juncheng Ge, Liusheng Huang