Research on position control of a 2-DOF joint actuated by one single motor. - Yangyu Luo; Fangyuan Zhao; Chengrong Li (FSKD, 2012)

Similarity Measure for Patients via A Siamese CNN Network. - Fangyuan Zhao; Jianliang Xu; Yong Lin (ICA3PP (2), 2018)

Multi-view Neural Network Integrating Knowledge for Patient Self-diagnosis. - Fangyuan Zhao; Jianliang Xu; Yong Lin (ICMLSC, 2019)

On Privacy Protection of Latent Dirichlet Allocation Model Training. - Fangyuan Zhao; Xuebin Ren; Shusen Yang; Xinyu Yang 001 (IJCAI, 2019)

A numerical method for the approximation of reachable sets of linear control systems. - Lizhen Shao; Fangyuan Zhao; Guangda Hu (IMA J. Math. Control. Inf., 2019)

p-Power Exponential Mechanisms for Differentially Private Machine Learning. - Yanan Li 004; Xuebin Ren; Fangyuan Zhao; Shusen Yang (IEEE Access, 2021)

Latent Dirichlet Allocation Model Training With Differential Privacy. - Fangyuan Zhao; Xuebin Ren; Shusen Yang; Qing Han; Peng Zhao 001; Xinyu Yang 001 (IEEE Trans. Inf. Forensics Secur., 2021)

CSAM: A Channel and Spatial Attention Mechanism for Impervious Surface Extraction in Difficult Areas. - Fangyuan Zhao; Xiaohua Wan; Sijia Li; Zhongchang Sun; Wenjing Zhang; Dehui Qiu; Fa Zhang 001; Xinyu Liu 008; Guangming Tan (IGARSS, 2022)

An Efficient Multimodal Aggregation Network for Video-Text Retrieval. - Zhi Liu; Fangyuan Zhao; Mengmeng Zhang (IEICE Trans. Inf. Syst., 2022)

MPDM: A Multi-Paradigm Deployment Model for Large-Scale Edge-Cloud Intelligence. - Luhui Wang; Xuebin Ren; Cong Zhao 001; Fangyuan Zhao; Shusen Yang (IEEE Internet Things J., 2023)

Federated multi-objective reinforcement learning. - Fangyuan Zhao; Xuebin Ren; Shusen Yang; Peng Zhao 001; Rui Zhang; Xinxin Xu (Inf. Sci., 2023)

A new global sine cosine algorithm for solving economic emission dispatch problem. - Jingsen Liu; Fangyuan Zhao; Yu Li 014; Huan Zhou 003 (Inf. Sci., 2023)

VertiMRF: Differentially Private Vertical Federated Data Synthesis. - Fangyuan Zhao; Zitao Li; Xuebin Ren; Bolin Ding; Shusen Yang; Yaliang Li (KDD, 2024)

Understanding Byzantine Robustness in Federated Learning with A Black-box Server. - Fangyuan Zhao; Yuexiang Xie; Xuebin Ren; Bolin Ding; Shusen Yang; Yaliang Li (CoRR, 2024)

Review of Mathematical Optimization in Federated Learning. - Shusen Yang; Fangyuan Zhao; Zihao Zhou; Liang Shi; Xuebin Ren; Zongben Xu (CoRR, 2024)

Threshold-optimized and features-fused semi-supervised domain adaptation method for rotating machinery fault diagnosis. - Shenquan Wang; Fangyuan Zhao; Chao Cheng; Hongtian Chen; Yulian Jiang (Neurocomputing, 2025)