An Automatic Recognition of Tooth- Marked Tongue Based on Tongue Region Detection and Tongue Landmark Detection via Deep Learning. - Wenjun Tang; Yuan Gao 019; Lei Liu; Tingwei Xia; Li He; Song Zhang; Jinhong Guo; Weihong Li; Qiang Xu (IEEE Access, 2020)

Community-oriented attributed network embedding. - Yuan Gao 019; Maoguo Gong; Yu Xie; Hua Zhong (Knowl. Based Syst., 2020)

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. - Yuan Gao 019; Jiawei Li 001; Maoguo Gong; Yu Xie; A. Kai Qin (CoRR, 2021)

Multi-Party Dual Learning. - Maoguo Gong; Yuan Gao 019; Yu Xie; A. Kai Qin; Ke Pan; Yew-Soon Ong (CoRR, 2021)

ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning. - Maoguo Gong; Yuan Gao 019; Yue Wu 004; A. Kai Qin (CoRR, 2021)

A survey on federated learning. - Chen Zhang 015; Yu Xie; Hang Bai; Bin Yu 011; Weihong Li; Yuan Gao 019 (Knowl. Based Syst., 2021)

An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection. - Yuan Gao 019; Maoguo Gong; Yu Xie; Alex Kai Qin (IEEE Trans. Multim., 2021)

Defending local poisoning attacks in multi-party learning via immune system. - Fei Xie 007; Yuan Gao 019; Jiongqian Wang; Wei Zhao 019 (Knowl. Based Syst., 2022)

Federated Multitask Learning for HyperFace. - Chen Zhang 015; Hang Bai; Yonggang Zhang; Xinyi Niu; Bin Yu 011; Yuan Gao 019; Yu Xie (IEEE Trans. Artif. Intell., 2022)

Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. - Sijia Zhang; Maoguo Gong; Yu Xie; A. Kai Qin; Hao Li 009; Yuan Gao 019; Yew-Soon Ong (IEEE Trans. Circuits Syst. Video Technol., 2022)

Exploring Temporal Information for Dynamic Network Embedding. - Maoguo Gong; Shunfei Ji; Yu Xie; Yuan Gao 019; Alex Kai Qin (IEEE Trans. Knowl. Data Eng., 2022)

Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion. - Yuan Gao 019; Yew-Soon Ong; Maoguo Gong; Fenlong Jiang; Yuanqiao Zhang; Shanfeng Wang (IEEE Internet Things J., 2023)

Privacy-enhanced generative adversarial network with adaptive noise allocation. - Ke Pan; Maoguo Gong; Yuan Gao 019 (Knowl. Based Syst., 2023)

SMGCL: Semi-supervised Multi-view Graph Contrastive Learning. - Hui Zhou; Maoguo Gong; Shanfeng Wang; Yuan Gao 019; Zhongying Zhao 001 (Knowl. Based Syst., 2023)

Multiparty Dual Learning. - Yuan Gao 019; Maoguo Gong; Yu Xie; A. Kai Qin; Ke Pan; Yew-Soon Ong (IEEE Trans. Cybern., 2023)

Federated Learning on Multimodal Data: A Comprehensive Survey. - Yi-Ming Lin; Yuan Gao 019; Maoguo Gong; Sijia Zhang; Yuan-Qiao Zhang; Zhi-Yuan Li (Mach. Intell. Res., 2023)

Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. - Maoguo Gong; Yuan Gao 019; Yue Wu 004; Yuanqiao Zhang; Alex Kai Qin; Yew-Soon Ong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Federated Active Semi-Supervised Learning With Communication Efficiency. - Chen Zhang 015; Yu Xie; Hang Bai; Xiongwei Hu; Bin Yu 011; Yuan Gao 019 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

One-Shot Surrogate for Evolutionary Multiobjective Neural Architecture Search. - Kuangda Lyu; Maoguo Gong; Hao Li 009; Yuan Gao 019; Yue Wu 004; Dan Feng 002; Jiao Shi; Yu Lei 002 (CEC, 2024)

Differential privacy in deep learning: A literature survey. - Ke Pan; Yew-Soon Ong; Maoguo Gong; Hui Li 006; A. Kai Qin; Yuan Gao 019 (Neurocomputing, 2024)

Bidirectional interaction of CNN and Transformer for image inpainting. - Jialu Liu; Maoguo Gong; Yuan Gao 019; Yiheng Lu; Hao Li 009 (Knowl. Based Syst., 2024)

Towards fair and personalized federated recommendation. - Shanfeng Wang; Hao Tao; Jianzhao Li; Xinyuan Ji; Yuan Gao 019; Maoguo Gong (Pattern Recognit., 2024)

Toward Multiparty Personalized Collaborative Learning in Remote Sensing. - Jianzhao Li; Maoguo Gong; Zaitian Liu; Shanfeng Wang; Yourun Zhang; Yu Zhou 051; Yuan Gao 019 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption. - Maoguo Gong; Yuanqiao Zhang; Yuan Gao 019; A. Kai Qin; Yue Wu 004; Shanfeng Wang; Yihong Zhang 008 (IEEE Trans. Inf. Forensics Secur., 2024)

MMPL: Multi-Objective Multi-Party Learning via Diverse Steps. - Yuanqiao Zhang; Maoguo Gong; Yuan Gao 019; Hao Li 009; Lei Wang 030; Yixin Wang 009 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Assessing the performance of fully supervised and weakly supervised learning in breast cancer histopathology. - Huan Kang; Qianqian Xu; Duofang Chen; Shenghan Ren; Hui Xie; Lin Wang; Yuan Gao 019; Maoguo Gong; Xueli Chen (Expert Syst. Appl., 2024)

Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework. - Yuan Gao 019; Yuanqiao Zhang; Maoguo Gong; Qing Cai; Yu Xie; Alex Kai Qin (IEEE Trans. Cybern., 2024)

Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images. - Yuanqiao Zhang; Maoguo Gong; Yuan Gao 019; Alex Kai Qin; Kun Wang; Yi-Ming Lin; Shanfeng Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis. - Yuan Gao 019; Maoguo Gong; Yew-Soon Ong; A. Kai Qin; Yue Wu 004; Fei Xie 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Enhancing Federated Learning With Pattern-Based Client Clustering. - Yuan Gao 019; Ziyue Lin; Maoguo Gong; Yuanqiao Zhang; Yihong Zhang 008 (IEEE Internet Things J., 2024)

Federated feature reconstruction with collaborative star networks. - Yihong Zhang 008; Yuan Gao 019; Maoguo Gong; Hao Li 009; Yuanqiao Zhang; Sijia Zhang (Knowl. Based Syst., 2025)

Dual Distillation Fusion for Weakly Supervised Anomaly Detection in Surveillance Videos. - Sijia Zhang; Maoguo Gong; Yi-Ming Lin; Hao Li 009; Yuan Gao 019; Yihong Zhang 008 (IEEE Trans. Circuits Syst. Video Technol., 2025)