Multi-Granularity Federated Learning by Graph-Partitioning - Ziming Dai; Yunfeng Zhao; Chao Qiu; Xiaofei Wang; Haipeng Yao; Dusit Niyato (IEEE Trans. Cloud Comput., 2025)

Multi-Granularity Weighted Federated Learning for Heterogeneous Edge Computing - Yunfeng Zhao; Chao Qiu; Shangxuan Cai; Zhicheng Liu; Yu Wang; Xiaofei Wang; Qinghua Hu (IEEE Trans. Serv. Comput., 2025)

A novel SM4 cryptographic architecture against higher order power analysis attacks - Nengyuan Sun; Wenrui Liu; Jiafeng Cheng; Zhaokang Peng; Chunyang Wang; Caiban Sun; Heng Sha; Zhiyuan Pan; Ming Jin; Hongyang Zhao; Jinghe Wang; Yiming Wen; et al. (Int. J. Circuit Theory Appl., 2024)

Few-shot partial multi-label learning with synthetic features network - Yifan Sun; Yunfeng Zhao; Guoxian Yu; Zhongmin Yan; Carlotta Domeniconi (Knowl. Inf. Syst., 2024)

SemanticICV: Endogenous Secure Full-Scenario Learning for Intelligent Connected Vehicles Driven by Semantics - Cheng Zhang; Tiancheng Zhang; Yunfeng Zhao; Chao Qiu; Xiaofei Wang; Shizhan Lan; Jingxu Cao (IEEE Netw., 2024)

Personalized Federated Few-Shot Learning - Yunfeng Zhao; Guoxian Yu; Jun Wang; Carlotta Domeniconi; Maozu Guo; Xiangliang Zhang; Lizhen Cui (IEEE Trans. Neural Networks Learn. Syst., 2024)

ENASFL: A Federated Neural Architecture Search Scheme for Heterogeneous Deep Models in Distributed Edge Computing Systems - Zitong Zhang; Zhicheng Liu; Yunfeng Zhao; Chao Qiu; Cheng Zhang; Xiaofei Wang (IEEE Trans. Netw. Sci. Eng., 2024)

CouldPin-Fast: Effient and Effective Root Cause Localization for Shared Bandwidth Package Traffic Anomalies in Public Cloud Networks - Shize Zhang; Yunfeng Zhao; Jianyuan Lu; Shuai Yang; Biao Lyu; Shunmin Zhu; Enhuan Dong; Zhiliang Wang; Jiahai Yang (IEEE Trans. Serv. Comput., 2024)

A Socialized Learning-Based Scheduling Framework in Intricate Edge Clouds - Yunfeng Zhao; Ziwei Wang; Chao Qiu; Qiang He; Dusit Niyato; Xin Wang; Xiaofei Wang; Qinghua Hu (IEEE Trans. Serv. Comput., 2024)

A 128-Gbps Pipelined SM4 Circuit With Dual DPA Attack Countermeasures - Wenrui Liu; Jiafeng Cheng; Nengyuan Sun; Heng Sha; Zunxian Fu; Zhaokang Peng; Chunyang Wang; Caiban Sun; Pengliang Kong; Yunfeng Zhao; Yaoqiang Wang; Weize Yu (IEEE Trans. Very Large Scale Integr. Syst., 2024)

F\(^2\)NAS: Flexible Federated Neural Architecture Search in Green Edge Computing - Zebo Zhao; Chao Qiu; Yunfeng Zhao; Xiaofei Wang; Haipeng Yao; Xiuhua Li; F. Richard Yu (IEEE International Conference on Communications, ICC 2024, Denver, CO, USA, June 9-13, 2024, 2024)

Crossl.earning: Vertical and Horizontal Learning for Request Scheduling in Edge-Cloud Systems - Xiaoyun Shi; Yunfeng Zhao; Chao Qiu; Xiaofei Wang; Xiuhua Li; Wenyu Wang (IEEE International Conference on Communications, ICC 2024, Denver, CO, USA, June 9-13, 2024, 2024)

Efficient Adapting for Vision-language Foundation Model in Edge Computing Based on Personalized and Multi-Granularity Federated Learning - Fei Gao; Yunfeng Zhao; Chao Qiu; Xiaofei Wang (IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops, Vancouver, BC, Canada, May 20, 2024, 2024)

Cur-CoEdge: Curiosity-Driven Collaborative Request Scheduling in Edge-Cloud Systems - Yunfeng Zhao; Chao Qiu; Xiaoyun Shi; Xiaofei Wang; Dusit Niyato; Victor C. M. Leung (IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, Vancouver, BC, Canada, May 20-23, 2024, 2024)

CP\(^2\)GFed: Cross-granular and Personalized Prompt-based Green Federated Tuning for Giant Models - Fei Gao; Yunfeng Zhao; Chao Qiu; Xiaofei Wang; Haipeng Yao; Qinghua Hu (32nd IEEE/ACM International Symposium on Quality of Service, IWQoS 2024, Guangzhou, China, June 19-21, 2024, 2024)

Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction - Xiaoqiang Gui; Yueyao Cheng; Xiang-Rong Sheng; Yunfeng Zhao; Guoxian Yu; Shuguang Han; Yuning Jiang; Jian Xu; Bo Zheng (Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024, 2024)

Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems - Xiaofei Wang; Yunfeng Zhao; Chao Qiu; Qinghua Hu; Victor C. M. Leung (CoRR, 2024)

Knowledge Fused Recognition: Fusing Hierarchical Knowledge for Image Recognition through Quantitative Relativity Modeling and Deep Metric Learning - Yunfeng Zhao; Huiyu Zhou; Fei Wu; Xifeng Wu (CoRR, 2024)

Few-shot partial multi-label learning via prototype rectification - Yunfeng Zhao; Guoxian Yu; Lei Liu; Zhongmin Yan; Carlotta Domeniconi; Xiayan Zhang; Lizhen Cui (Knowl. Inf. Syst., 2023)

High-Accuracy and Low-Latency Tracker for UAVs Monitoring Tibetan Antelopes - Wei Luo; Xiaofang Li; Guoqing Zhang; Quanqin Shao; Yongxiang Zhao; Denghua Li; Yunfeng Zhao; Xuqing Li; Zihui Zhao; Yuyan Liu; Xiaoliang Li (Remote. Sens., 2023)

Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network - Yunfeng Zhao; Stuart Ferguson; Huiyu Zhou; Karen Rafferty (Signal Image Video Process., 2023)

Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction - Yunfeng Zhao; Xu Yan; Xiaoqiang Gui; Shuguang Han; Xiang-Rong Sheng; Guoxian Yu; Jufeng Chen; Zhao Xu; Bo Zheng (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

MG\(^2\)FL: Multi-Granularity Grouping-Based Federated Learning in Green Edge Computing Systems - Ziming Dai; Yunfeng Zhao; Chao Qiu; Xiaofei Wang; F. Richard Yu (IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, December 4-8, 2023, 2023)

Enabling Real-Time Video Analytics with Adaptive Sampling and Detection-Based Tracking in Edge Computing - Yilan Wang; Zhicheng Liu; Yunfeng Zhao; Xiaofei Wang; Chao Qiu (IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, December 4-8, 2023, 2023)

Bat-FG: A Broad Attention Based Fine-Grained Offloading in Green Computing Power Networks - Zhutao Liu; Chao Qiu; Yunfeng Zhao; Xiaofei Wang; Jing Jiang (IEEE International Conference on Communications, ICC 2023, Rome, Italy, May 28 - June 1, 2023, 2023)

SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems - Ziwei Wang; Yunfeng Zhao; Chao Qiu; Qiang He; Xin Wang; Xiaofei Wang; Qinghua Hu (43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023, Hong Kong, July 18-21, 2023, 2023)

Multi-stage Location for Root-Cause Metrics in Online Service Systems - Yunfeng Zhao; Wenchi Zhang; Zhiliang Wang; Shize Zhang; Kaixin Sui; Enhuan Dong; Jiahai Yang (NOMS 2023, IEEE/IFIP Network Operations and Management Symposium, Miami, FL, USA, May 8-12, 2023, 2023)

Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction - Yunfeng Zhao; Xu Yan; Xiaoqiang Gui; Shuguang Han; Xiang-Rong Sheng; Guoxian Yu; Jufeng Chen; Zhao Xu; Bo Zheng (CoRR, 2023)

Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction - Xiaoqiang Gui; Yueyao Cheng; Xiang-Rong Sheng; Yunfeng Zhao; Guoxian Yu; Shuguang Han; Yuning Jiang; Jian Xu; Bo Zheng (CoRR, 2023)

InFEDge: A Blockchain-Based Incentive Mechanism in Hierarchical Federated Learning for End-Edge-Cloud Communications - Xiaofei Wang; Yunfeng Zhao; Chao Qiu; Zhicheng Liu; Jiangtian Nie; Victor C. M. Leung (IEEE J. Sel. Areas Commun., 2022)

Color Alignment for Relative Color Constancy via Non-Standard References - Yunfeng Zhao; Stuart Ferguson; Huiyu Zhou; Christopher T. Elliott; Karen Rafferty (IEEE Trans. Image Process., 2022)

Learn to Coordinate for Computation Offloading and Resource Allocation in Edge Computing: A Rational-Based Distributed Approach - Zhicheng Liu; Yunfeng Zhao; Jinduo Song; Chao Qiu; Xu Chen; Xiaofei Wang (IEEE Trans. Netw. Sci. Eng., 2022)

Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems - Zhuohang Wang; Yunfeng Zhao; Yong Wang; Li Yan; Zhicheng Liu; Chao Qiu; Xiaofei Wang; Qinghua Hu (Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part I, 2022)

Multi-granularity Weighted Federated Learning in Heterogeneous Mobile Edge Computing Systems - Shangxuan Cai; Yunfeng Zhao; Zhicheng Liu; Chao Qiu; Xiaofei Wang; Qinghua Hu (42nd IEEE International Conference on Distributed Computing Systems, ICDCS 2022, Bologna, Italy, July 10-13, 2022, 2022)

Few-shot Partial Multi-label Learning with Data Augmentation - Yifan Sun; Yunfeng Zhao; Guoxian Yu; Zhongmin Yan; Carlotta Domeniconi (IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022, 2022)

Uncertainty Measured Active Client Selection for Federated Learning in Smart Grid - Pengfei Li; Yunfeng Zhao; Liandong Chen; Kai Cheng; Chuyue Xie; Xiaofei Wang; Qinghua Hu (IEEE International Conference on Smart Internet of Things, SmartIoT 2022, Suzhou, China, August 19-21, 2022, 2022)

Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network - Yunfeng Zhao; Stuart Ferguson; Huiyu Zhou; Karen Rafferty (CoRR, 2022)

Network Representation Learning-Enhanced Multisource Information Fusion Model for POI Recommendation in Smart City - He-Xuan Hu; Zhaowei Jiang; Yunfeng Zhao; Ye Zhang; Heng Wang; Wei Wang (IEEE Internet Things J., 2021)

Parallel Deep Learning Algorithms With Hybrid Attention Mechanism for Image Segmentation of Lung Tumors - Hexuan Hu; Qingqiu Li; Yunfeng Zhao; Ye Zhang (IEEE Trans. Ind. Informatics, 2021)

Socialized Learning for Smart Cities: Cognitive Paradigm, Methodology, and Solution - Yunfeng Zhao; Zhicheng Liu; Chao Qiu; Xiuhua Li; Xiaofei Wang; Qinghua Hu (IEEE Wirel. Commun., 2021)

An Incentive Mechanism for Big Data Trading in End-Edge-Cloud Hierarchical Federated Learning - Yunfeng Zhao; Zhicheng Liu; Chao Qiu; Xiaofei Wang; F. Richard Yu; Victor C. M. Leung (IEEE Global Communications Conference, GLOBECOM 2021, Madrid, Spain, December 7-11, 2021, 2021)

MGFL: Multi-granularity Federated Learning in Edge Computing Systems - Shangxuan Cai; Yunfeng Zhao; Zhicheng Liu; Chao Qiu; Xiaofei Wang; Qinghua Hu (Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part I, 2021)

Few-Shot Partial Multi-Label Learning - Yunfeng Zhao; Guoxian Yu; Lei Liu; Zhongmin Yan; Carlotta Domeniconi; Lizhen Cui (IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021, 2021)

Few-Shot Partial-Label Learning - Yunfeng Zhao; Guoxian Yu; Lei Liu; Zhongmin Yan; Lizhen Cui; Carlotta Domeniconi (Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, 2021)

CloudPin: A Root Cause Localization Framework of Shared Bandwidth Package Traffic Anomalies in Public Cloud Networks - Shize Zhang; Yunfeng Zhao; Jianyuan Lu; Biao Lyu; Shunmin Zhu; Zhiliang Wang; Jiahai Yang; Lin He; Jianping Wu (32nd IEEE International Symposium on Software Reliability Engineering, ISSRE 2021, Wuhan, China, October 25-28, 2021, 2021)

Few-Shot Partial-Label Learning - Yunfeng Zhao; Guoxian Yu; Lei Liu; Zhongmin Yan; Lizhen Cui; Carlotta Domeniconi (CoRR, 2021)

Colour alignment for relative colour constancy via non-standard references - Yunfeng Zhao; Stuart Ferguson; Huiyu Zhou; Chris Elliott; Karen Rafferty (CoRR, 2021)

Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology - Shanshan Wang; Yunfeng Zhao; Ye Xu (Vis. Comput. Ind. Biomed. Art, 2020)

The Efficiency of Color Space Channels to Quantify Color and Color Intensity Change in Liquids, pH Strips, and Lateral Flow Assays with Smartphones - Joost Laurus Dinant Nelis; Laszlo Bura; Yunfeng Zhao; Konstantin M. Burkin; Karen Rafferty; Christopher T. Elliott; Katrina Campbell (Sensors, 2019)

Context-Aware Mouse Behavior Recognition Using Hidden Markov Models - Zheheng Jiang; Danny Crookes; Brian Desmond Green; Yunfeng Zhao; Haiping Ma; Ling Li; Shengping Zhang; Dacheng Tao; Huiyu Zhou (IEEE Trans. Image Process., 2019)

Smartphone Modulated Colorimetric Reader with Color Subtraction - Yunfeng Zhao; S. Y. Choi; J. Lou-Franco; Joost Laurus Dinant Nelis; H. Zhou; Chao Cao; Katrina Campbell; Christopher T. Elliott; Karen Rafferty (2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019)

The Fault Diagnosis Model Established Based on RVM - Yahui Wang; An Yun; Qinghong Ye; Yunfeng Zhao (Advancements in Smart City and Intelligent Building - Proceedings of the International Conference on Smart City and Intelligent Building, ICSCIB 2018, Hefei, Anhui, China, September 15-16, 2018, 2018)

Pixel-wise Illumination Correction Algorithms for Relative Color Constancy Under the Spectral Domain - Yunfeng Zhao; Chris Elliott; Huiyu Zhou; Karen Rafferty (2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, KY, USA, December 6-8, 2018, 2018)

Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain - Yunfeng Zhao; Chris Elliott; Huiyu Zhou; Karen Rafferty (2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, KY, USA, December 6-8, 2018, 2018)

A Risk Control Technology towards Supply Chain Finance in Banking Industry - Sheng Zhong; Yunfeng Zhao; Huiwen Jing (International Conference on Service Science, ICSS 2015, Weihai, Shandong, China, May 8-9, 2015, 2015)

Dimensional Synthesis and Analysis of the 2-UPS-PU Parallel Manipulator - Yunfeng Zhao; Yanhua Tang; Yongsheng Zhao (Intelligent Robotics and Applications, First International Conference, ICIRA 2008, Wuhan, China, October 15-17, 2008 Proceedings, Part I, 2008)

Bar-net driven skinning for character animation - Jian J. Zhang; Xiaosong Yang; Yunfeng Zhao (Comput. Animat. Virtual Worlds, 2007)

Motion control algorithm of a 5-DOF parallel machine tool - Li Cheng; Yunfeng Zhao; Yongsheng Zhao (IEEE International Conference on Robotics and Biomimetics, ROBIO 2007, Sanya, China, 15-28 December 2007, 2007)