Grouping Strategy for RFID-Based Activity Recognition in Smart Home. - Xiaofei Luo; Qinglin Yang; Peng Li 017; Toshiaki Miyazaki; Xiaoyan Wang 003 (iThings/GreenCom/CPSCom/SmartData, 2019)

Computation offloading for fast CNN inference in edge computing. - Qinglin Yang; Xiaofei Luo; Peng Li 017; Toshiaki Miyazaki; Xiaoyan Wang 003 (RACS, 2019)

Dayu: Fast and Low-interference Data Recovery in Very-large Storage Systems. - Zhufan Wang; Guangyan Zhang; Yang Wang 009; Qinglin Yang; Jiaji Zhu (USENIX ATC, 2019)

Deep Reinforcement Learning for Optimal Resource Allocation in Blockchain-based IoV Secure Systems. - Hongzhi Xiao; Chen Qiu 007; Qinglin Yang; Huakun Huang; Junbo Wang 001; Chunhua Su (MSN, 2020)

Deep Reinforcement Learning based Energy Scheduling for Edge Computing. - Qinglin Yang; Peng Li 017 (SmartCloud, 2020)

Cooperation of Mobile Devices for Fast Inference of Deep Learning Applications. - Qinglin Yang; Xiaofei Luo; Peng Li 017; Toshiaki Miyazaki; Wenfeng Shen; Weiqin Tong (Mob. Networks Appl., 2021)

WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy. - Zhuotao Lian; Qinglin Yang; Qingkui Zeng; Chunhua Su (ICC, 2022)

Fusing Blockchain and AI with Metaverse: A Survey. - Qinglin Yang; Yetong Zhao; Huawei Huang; Zibin Zheng (CoRR, 2022)

Fusing Blockchain and AI With Metaverse: A Survey. - Qinglin Yang; Yetong Zhao; Huawei Huang; Zehui Xiong; Jiawen Kang 001; Zibin Zheng (IEEE Open J. Comput. Soc., 2022)

DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems. - Zhuotao Lian; Qinglin Yang; Weizheng Wang 001; Qingkui Zeng; Mamoun Alazab; Hong Zhao; Chunhua Su (IEEE Trans. Netw. Sci. Eng., 2022)

Semi-Synchronous Federated Learning Protocol With Dynamic Aggregation in Internet of Vehicles. - Feiyuan Liang; Qinglin Yang; Ruiqi Liu; Junbo Wang 001; Kento Sato; Jian Guo (IEEE Trans. Veh. Technol., 2022)

Road crash risk prediction during COVID-19 for flash crowd traffic prevention: The case of Los Angeles. - Junbo Wang 001; Xiusong Yang; Songcan Yu; Qing Yuan; Zhuotao Lian; Qinglin Yang (Comput. Commun., 2023)

MetaOpera: A Cross-Metaverse Interoperability Protocol. - Taotao Li; Changlin Yang; Qinglin Yang; Siqi Zhou; Huawei Huang; Zibin Zheng (CoRR, 2023)

BlockEmulator: An Emulator Enabling to Test Blockchain Sharding Protocols. - Huawei Huang; Guang Ye; Qinde Chen; Zhaokang Yin; Xiaofei Luo; Jianru Lin; Taotao Li; Qinglin Yang; Zibin Zheng (CoRR, 2023)

Loss-based differentiation strategy for privacy preserving of social robots. - Qinglin Yang; Taiyu Wang; Kaiming Zhu; Junbo Wang 001; Yu Han; Chunhua Su (J. Supercomput., 2023)

Correction to: Loss-based differentiation strategy for privacy preserving of social robots. - Qinglin Yang; Taiyu Wang; Kaiming Zhu; Junbo Wang 001; Yu Han; Chunhua Su (J. Supercomput., 2023)

Metaopera: A Cross-Metaverse Interoperability Protocol. - Taotao Li; Changlin Yang; Qinglin Yang; Shizhan Lan; Siqi Zhou; Xiaofei Luo; Huawei Huang; Zibin Zheng (IEEE Wirel. Commun., 2023)

A coordinates-based hierarchical computing framework towards spatial data processing. - Chen Qiu 007; Haoda Wang; Qinglin Yang; Chunhua Su; Huawei Huang (Comput. Commun., 2023)

Collaborative Machine Learning: Schemes, Robustness, and Privacy. - Junbo Wang 001; Amitangshu Pal; Qinglin Yang; Krishna Kant 001; Kaiming Zhu; Song Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Node Betweenness Centrality based Defense Strategy Against Topology Inference Threat: A Static Game Theoretical Perspective. - Wenlei Zhong; Yu Jiang; Qinglin Yang; Chenlu Zhuansun; Yanbin Sun; Shen Su; Zhihong Tian; Yuan Liu 002 (CyberSciTech, 2024)

Review of Incentive Mechanisms of Differential Privacy Based Federated Learning Protocols: From the Economics and Game Theoretical Perspectives. - Miaohua Zhuo; Dongjun Li; Qinglin Yang; Yuan Zhou; Yuan Liu 002; Zhihong Tian (ICA3PP (5), 2024)

Can Federated Learning Clients be Lightweight? A Plug-and-Play Symmetric Conversion Module. - Jialiang Liu; Huawei Huang; Chun Wang; Ruixin Li; Ting Car; Qinglin Yang; Zibin Zheng (ICDCS, 2024)

Broker2Earn: Towards Maximizing Broker Revenue and System Liquidity for Sharded Blockchains. - Qinde Chen; Huawei Huang; Zhaokang Yin; Guang Ye; Qinglin Yang (INFOCOM, 2024)

Efficient Model Compression for Hierarchical Federated Learning. - Xi Zhu; Songcan Yu; Junbo Wang 001; Qinglin Yang (CoRR, 2024)

Scalability and Security of Blockchain-Empowered Metaverse: A Survey. - Huawei Huang; Zhaokang Yin; Qinglin Yang; Taotao Li; Xiaofei Luo; Zhou Lu; Zibin Zheng (IEEE Open J. Comput. Soc., 2024)

LDS-FL: Loss Differential Strategy Based Federated Learning for Privacy Preserving. - Taiyu Wang; Qinglin Yang; Kaiming Zhu; Junbo Wang 001; Chunhua Su; Kento Sato (IEEE Trans. Inf. Forensics Secur., 2024)

Intelligent wireless sensing driven metaverse: A survey. - Lingjun Zhao; Qinglin Yang; Huakun Huang; Longtao Guo; Shan Jiang 005 (Comput. Commun., 2024)

Economic Systems in the Metaverse: Basics, State of the Art, and Challenges. - Huawei Huang; Qinnan Zhang; Taotao Li; Qinglin Yang; Zhaokang Yin; Junhao Wu; Zehui Xiong; Jianming Zhu; Jiajing Wu; Zibin Zheng (ACM Comput. Surv., 2024)

Cross-and-Diagonal Networks: An Indirect Self-Attention Mechanism for Image Classification. - Jiahang Lyu; Rongxin Zou; Qin Wan; Wang Xi; Qinglin Yang; Sarath Kodagoda; Shifeng Wang (Sensors, 2024)

Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency. - Chen Qiu 007; Ziang Wu; Haoda Wang; Qinglin Yang; Yu Wang 017; Chunhua Su (Future Internet, 2025)

An Effective Scheme to Solve Critical Data Missing Problems for IoT-Based Smart Energy Management. - Sihui Xue; Huakun Huang; Jia Liu; Qinglin Yang; Lingjun Zhao; Huijun Wu (IEEE Internet Things J., 2025)

BlockEmulator: An Emulator Enabling to Test Blockchain Sharding Protocols. - Huawei Huang; Guang Ye; Qinglin Yang; Qinde Chen; Zhaokang Yin; Xiaofei Luo; Jianru Lin; Jian Zheng; Taotao Li; Zibin Zheng (IEEE Trans. Serv. Comput., 2025)

The State-of-the-Art and Promising Future of Blockchain Sharding. - Qinglin Yang; Huawei Huang; Zhaokang Yin; Yue Lin; Qinde Chen; Xiaofei Luo; Taotao Li; Xiulong Liu; Zibin Zheng (IEEE Commun. Mag., 2025)

DataFly: A Confidentiality-Preserving Data Migration Across Heterogeneous Blockchains. - Taotao Li; Huawei Huang; Parhat Abla; Zhihong Deng; Qinglin Yang; Anke Xie; Debiao He; Zibin Zheng (IEEE Trans. Computers, 2025)

Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation. - Zhen Xu 008; Hongyu Zhou; Sida Peng; Haotong Lin; Haoyu Guo; Jiahao Shao; Peishan Yang; Qinglin Yang; Sheng Miao; Xingyi He; Yifan Wang; Yue Wang; et al. (CoRR, 2025)