A Real Time Wireless Interactive Multimedia System. - Hong Li; Wei Yang 011; Yang Xu 020; Jianxin Wang 006; Liusheng Huang (APWeb (1), 2016)

WiFinger: talk to your smart devices with finger-grained gesture. - Hong Li; Wei Yang 011; Jianxin Wang 006; Yang Xu 020; Liusheng Huang (UbiComp, 2016)

WiCare: A Synthesized Healthcare Service System Based on WiFi Signals. - Hong Li; Wei Yang 011; Yang Xu 020; Jianxin Wang 006; Liusheng Huang (ICSOC, 2016)

AIS: An Inaudible Guider in Your Smartphone. - Xing Zhou; Liusheng Huang; Yang Xu 020; Wei Yang 011 (WASA, 2017)

Implicitly Incorporating Morphological Information into Word Embedding. - Yang Xu 020; Jiawei Liu (CoRR, 2017)

WiStep: Device-free Step Counting with WiFi Signals. - Yang Xu 020; Wei Yang 011; Jianxin Wang 006; Xing Zhou; Hong Li; Liusheng Huang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings. - Yang Xu 020; Jiawei Liu; Wei Yang 011; Liusheng Huang (ACL (1), 2018)

TRQED: Secure and Fast Tree-Based Private Range Queries over Encrypted Cloud. - Wei Yang 011; Yang Xu 020; Yiwen Nie; Yao Shen; Liusheng Huang (DASFAA (2), 2018)

Link Us if You Can: Enabling Unlinkable Communication on the Internet. - Zhenbo Xu; Wei Yang 011; Yang Xu 020; Ajin Meng; Jianhua Liu; Qijian He; Liusheng Huang (SECON, 2018)

DopGest: Dual-Frequency Based Ultrasonic Gesture Recognition. - Qi Liu; Wei Yang 011; Yang Xu 020; Yahui Hu; Qijian He; Liusheng Huang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Automated Essay Scoring based on Two-Stage Learning. - Jiawei Liu; Yang Xu 020; Lingzhe Zhao (CoRR, 2019)

Environment-Independent Wi-Fi Human Activity Recognition with Adversarial Network. - Zhengyang Wang; Sheng Chen; Wei Yang 011; Yang Xu 020 (ICASSP, 2021)

Learning-Driven Decentralized Machine Learning in Resource-Constrained Wireless Edge Computing. - Zeyu Meng; Hongli Xu; Min Chen 033; Yang Xu 020; Yangming Zhao; Chunming Qiao (INFOCOM, 2021)

DNN Inference Acceleration with Partitioning and Early Exiting in Edge Computing. - Chao Li; Hongli Xu; Yang Xu 020; Zhiyuan Wang 002; Liusheng Huang (WASA (1), 2021)

Communication-efficient asynchronous federated learning in resource-constrained edge computing. - Jianchun Liu; Hongli Xu; Yang Xu 020; Zhenguo Ma; Zhiyuan Wang 002; Chen Qian 001; He Huang 001 (Comput. Networks, 2021)

FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing. - Qianpiao Ma; Yang Xu 020; Hongli Xu; Zhida Jiang; Liusheng Huang; He Huang 001 (IEEE J. Sel. Areas Commun., 2021)

FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Chunming Qiao; Yangming Zhao (ICDE, 2022)

Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. - Jianchun Liu; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiyuan Wang 002; He Huang 001 (ICDE, 2022)

Enhancing Federated Learning with In-Cloud Unlabeled Data. - Lun Wang; Yang Xu 020; Hongli Xu; Jianchun Liu; Zhiyuan Wang 002; Liusheng Huang (ICDE, 2022)

Decentralized Federated Learning with Data Feature Transmission and Neighbor Selection. - Wenxiao Lou; Yang Xu 020; Hongli Xu; Yunming Liao (ICPADS, 2022)

Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Chen Qian 001 (CoRR, 2022)

Decentralized Machine Learning Through Experience-Driven Method in Edge Networks. - Hongli Xu; Min Chen 033; Zeyu Meng; Yang Xu 020; Lun Wang; Chunming Qiao (IEEE J. Sel. Areas Commun., 2022)

Joint Data Collection and Resource Allocation for Distributed Machine Learning at the Edge. - Min Chen 033; Haichuan Wang; Zeyu Meng; Hongli Xu; Yang Xu 020; Jianchun Liu; He Huang 001 (IEEE Trans. Mob. Comput., 2022)

Attention-Based Gait Recognition and Walking Direction Estimation in Wi-Fi Networks. - Yang Xu 020; Wei Yang 011; Min Chen 033; Sheng Chen; Liusheng Huang (IEEE Trans. Mob. Comput., 2022)

Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices. - Min Chen 033; Yang Xu 020; Hongli Xu; Liusheng Huang (ICDE, 2023)

Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Chen Qian 001 (INFOCOM, 2023)

Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. - Yunming Liao; Yang Xu 020; Hongli Xu; Lun Wang; Chen Qian 001 (INFOCOM, 2023)

Enhanced Federated Learning with Adaptive Block-wise Regularization and Knowledge Distillation. - Qingmin Zeng; Jianchun Liu; Hongli Xu; Zhiyuan Wang 002; Yang Xu 020; Yangming Zhao (IWQoS, 2023)

CoopFL: Accelerating federated learning with DNN partitioning and offloading in heterogeneous edge computing. - Zhiyuan Wang 002; Hongli Xu; Yang Xu 020; Zhida Jiang; Jianchun Liu (Comput. Networks, 2023)

Efficient Semi-Supervised Federated Learning for Heterogeneous Participants. - Zhipeng Sun; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002 (CoRR, 2023)

Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing. - Jianchun Liu; Hongli Xu; Lun Wang; Yang Xu 020; Chen Qian 001; Jinyang Huang; He Huang 001 (IEEE Trans. Mob. Comput., 2023)

Adaptive Batch Size for Federated Learning in Resource-Constrained Edge Computing. - Zhenguo Ma; Yang Xu 020; Hongli Xu; Zeyu Meng; Liusheng Huang; Yinxing Xue (IEEE Trans. Mob. Comput., 2023)

AutoProfile: An Intelligent Profile Switching System for Smartphones. - Wei Yang 011; Sheng Chen; Zhengyang Wang; Yang Xu 020; Liusheng Huang (IEEE Trans. Mob. Comput., 2023)

Accelerating Federated Learning With Cluster Construction and Hierarchical Aggregation. - Zhiyuan Wang 002; Hongli Xu; Jianchun Liu; Yang Xu 020; He Huang 001; Yangming Zhao (IEEE Trans. Mob. Comput., 2023)

AFall: Wi-Fi-Based Device-Free Fall Detection System Using Spatial Angle of Arrival. - Sheng Chen; Wei Yang 011; Yang Xu 020; Yangyang Geng; Bangzhou Xin; Liusheng Huang (IEEE Trans. Mob. Comput., 2023)

Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing. - Lun Wang; Yang Xu 020; Hongli Xu; Min Chen 033; Liusheng Huang (IEEE Trans. Mob. Comput., 2023)

Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning. - Yang Xu 020; Yunming Liao; Hongli Xu; Zhenguo Ma; Lun Wang; Jianchun Liu (IEEE Trans. Mob. Comput., 2023)

Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning. - Zhida Jiang; Yang Xu 020; Hongli Xu; Lun Wang; Chunming Qiao; Liusheng Huang (IEEE Trans. Parallel Distributed Syst., 2023)

Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization. - Xin Hang; Yang Xu 020; Hongli Xu; Yunming Liao; Lun Wang (CCGrid, 2024)

Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Chunming Qiao (ICDE, 2024)

MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. - Yunming Liao; Yang Xu 020; Hongli Xu; Lun Wang; Zhiwei Yao; Chunming Qiao (ICDE, 2024)

Accelerating Hierarchical Federated Learning with Model Splitting in Edge Computing. - Xiangnan Wang; Yang Xu 020; Hongli Xu; Zhipeng Sun; Yunming Liao; Ji Qi 005 (ICPADS, 2024)

ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues. - Yunming Liao; Yang Xu 020; Hongli Xu; Zhiwei Yao; Liusheng Huang; Chunming Qiao (MobiCom, 2024)

Collaborative Inference for Large Models with Task Offloading and Early Exiting. - Zuan Xie; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiyuan Yao (CoRR, 2024)

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices. - Jun Liu 083; Yunming Liao; Hongli Xu; Yang Xu 020; Jianchun Liu; Chen Qian 001 (CoRR, 2024)

Decentralized Federated Learning With Intermediate Results in Mobile Edge Computing. - Suo Chen; Yang Xu 020; Hongli Xu; Zhida Jiang; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

Like Attracts Like: Personalized Federated Learning in Decentralized Edge Computing. - Zhenguo Ma; Yang Xu 020; Hongli Xu; Jianchun Liu; Yinxing Xue (IEEE Trans. Mob. Comput., 2024)

Accelerating Federated Learning With Data and Model Parallelism in Edge Computing. - Yunming Liao; Yang Xu 020; Hongli Xu; Zhiwei Yao; Lun Wang; Chunming Qiao (IEEE/ACM Trans. Netw., 2024)

Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning. - Jianchun Liu; Qingmin Zeng; Hongli Xu; Yang Xu 020; Zhiyuan Wang 002; He Huang 001 (IEEE/ACM Trans. Netw., 2024)

FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training. - Zhiyuan Wang 002; Hongli Xu; Yang Xu 020; Zhida Jiang; Jianchun Liu; Suo Chen (IEEE Trans. Parallel Distributed Syst., 2024)

Computation and Communication Efficient Federated Learning With Adaptive Model Pruning. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Jianchun Liu; Chen Qian 001; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection. - Yang Xu 020; Lun Wang; Hongli Xu; Jianchun Liu; Zhiyuan Wang 002; Liusheng Huang (IEEE Trans. Mob. Comput., 2024)

BOSE: Block-Wise Federated Learning in Heterogeneous Edge Computing. - Lun Wang; Yang Xu 020; Hongli Xu; Zhida Jiang; Min Chen 033; Wuyang Zhang; Chen Qian 001 (IEEE/ACM Trans. Netw., 2024)

Fully Distributed Task Offloading in Vehicular Edge Computing. - Qianpiao Ma; Hongli Xu; Haibo Wang 004; Yang Xu 020; Qingmin Jia; Chunming Qiao (IEEE Trans. Veh. Technol., 2024)

Finch: Enhancing Federated Learning With Hierarchical Neural Architecture Search. - Jianchun Liu; Jiaming Yan; Hongli Xu; Zhiyuan Wang 002; Jinyang Huang; Yang Xu 020 (IEEE Trans. Mob. Comput., 2024)

Federated Learning With Client Selection and Gradient Compression in Heterogeneous Edge Systems. - Yang Xu 020; Zhida Jiang; Hongli Xu; Zhiyuan Wang 002; Chen Qian 001; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

FedLC: Accelerating Asynchronous Federated Learning in Edge Computing. - Yang Xu 020; Zhenguo Ma; Hongli Xu; Suo Chen; Jianchun Liu; Yinxing Xue (IEEE Trans. Mob. Comput., 2024)

Decentralized Federated Learning With Adaptive Configuration for Heterogeneous Participants. - Yunming Liao; Yang Xu 020; Hongli Xu; Lun Wang; Chen Qian 001; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks. - Jianchun Liu; Shilong Wang 002; Hongli Xu; Yang Xu 020; Yunming Liao; Jinyang Huang; He Huang 001 (IEEE/ACM Trans. Netw., 2024)

Enhancing Decentralized and Personalized Federated Learning With Topology Construction. - Suo Chen; Yang Xu 020; Hongli Xu; Zhenguo Ma; Zhiyuan Wang 002 (IEEE Trans. Mob. Comput., 2024)

Semi-Supervised Decentralized Machine Learning With Device-to-Device Cooperation. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Jianchun Liu; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

FedUC: A Unified Clustering Approach for Hierarchical Federated Learning. - Qianpiao Ma; Yang Xu 020; Hongli Xu; Jianchun Liu; Liusheng Huang (IEEE Trans. Mob. Comput., 2024)

Asynchronous Decentralized Federated Learning for Heterogeneous Devices. - Yunming Liao; Yang Xu 020; Hongli Xu; Min Chen 033; Lun Wang; Chunming Qiao (IEEE/ACM Trans. Netw., 2024)

Overcoming Noisy Labels and Non-IID Data in Edge Federated Learning. - Yang Xu 020; Yunming Liao; Lun Wang; Hongli Xu; Zhida Jiang; Wuyang Zhang (IEEE Trans. Mob. Comput., 2024)

MPLS: Stacking Diverse Layers Into One Model for Decentralized Federated Learning. - Yang Xu 020; Zhiwei Yao; Hongli Xu; Yunming Liao; Zuan Xie (Euro-Par (1), 2025)

Towards layer-wise quantization for heterogeneous federated clients. - Yang Xu 020; Junhao Cheng; Hongli Xu; Changyu Guo; Yunming Liao; Zhiwei Yao (Comput. Networks, 2025)

LOGO-CL: Accelerating semi-supervised federated learning in edge computing. - Yang Xu 020; Qianshu Wang; Hongli Xu; Yunming Liao; Liusheng Huang; Xin Hang (Comput. Networks, 2025)

Enhancing Federated Learning Through Layer-Wise Aggregation Over Non-IID Data. - Yang Xu 020; Ying Zhu; Zhiyuan Wang 002; Hongli Xu; Yunming Liao (IEEE Trans. Serv. Comput., 2025)

Efficient Deployment of Large Language Models on Resource-constrained Devices. - Zhiwei Yao; Yang Xu 020; Hongli Xu; Yunming Liao; Zuan Xie (CoRR, 2025)

Lightweight and Post-Training Structured Pruning for On-Device Large Lanaguage Models. - Zihuai Xu; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiwei Yao; Zuan Xie (CoRR, 2025)

A Novel Hat-Shaped Device-Cloud Collaborative Inference Framework for Large Language Models. - Zuan Xie; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiwei Yao (CoRR, 2025)

Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data. - Jun Liu 083; Yunming Liao; Hongli Xu; Yang Xu 020 (CoRR, 2025)

Cross-region Model Training with Communication-Computation Overlapping and Delay Compensation. - Ying Zhu; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiwei Yao; Liusheng Huang (CoRR, 2025)

DySTop. - Yizhou Shi; Qianpiao Ma; Yang Xu 020; Junlong Zhou; Ming Hu 003; Yunming Liao; Hongli Xu (CoRR, 2025)