A Survey on Differentially Private Machine Learning [Review Article]. - Maoguo Gong; Yu Xie; Ke Pan; Kaiyuan Feng; Alex Kai Qin (IEEE Comput. Intell. Mag., 2020)

Graph Convolutional Neural Network with Inter-layer Cascade Based on Attention Mechanism. - Lu Wei; Yiting Liu; Kaiyuan Feng; Jianzhao Li; Kai Sheng; Yue Wu 004 (CCIS, 2021)

CIM-PPO: Proximal Policy Optimization with Liu-Correntropy Induced Metric. - Yunxiao Guo; Han Long; Xiaojun Duan; Kaiyuan Feng; Maochu Li; Xiaying Ma (CoRR, 2021)

Differentially private regression analysis with dynamic privacy allocation. - Ke Pan; Maoguo Gong; Kaiyuan Feng; Kun Wang (Knowl. Based Syst., 2021)

SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification. - Yiheng Lu; Maoguo Gong; Wei Zhao 019; Kaiyuan Feng; Hao Li 009 (CoRR, 2022)

Entropy Induced Pruning Framework for Convolutional Neural Networks. - Yiheng Lu; Ziyu Guan; Yaming Yang 002; Maoguo Gong; Wei Zhao 019; Kaiyuan Feng (CoRR, 2022)

An Efficient Feature Extraction Network for Unsupervised Hyperspectral Change Detection. - Hongyu Zhao 007; Kaiyuan Feng; Yue Wu 004; Maoguo Gong (Remote. Sens., 2022)

An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity Optimization. - Kaiyuan Feng; Xia Fei; Maoguo Gong; A. Kai Qin; Hao Li 009; Yue Wu 004 (IEEE Trans. Circuits Syst. Video Technol., 2022)

TPENAS: A Two-Phase Evolutionary Neural Architecture Search for Remote Sensing Image Classification. - Lei Ao; Kaiyuan Feng; Kai Sheng; Hongyu Zhao 007; Xin He; Zigang Chen (Remote. Sens., 2023)

Autonomous perception and adaptive standardization for few-shot learning. - Yourun Zhang; Maoguo Gong; Jianzhao Li; Kaiyuan Feng; Mingyang Zhang 002 (Knowl. Based Syst., 2023)

Dual Appearance-Aware Enhancement for Oriented Object Detection. - Maoguo Gong; Hongyu Zhao 007; Yue Wu 004; Zedong Tang; Kaiyuan Feng; Kai Sheng (IEEE Trans. Geosci. Remote. Sens., 2024)

Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification. - Kaiyuan Feng; Maoguo Gong; Ke Pan; Hongyu Zhao 007; Yue Wu 004; Kai Sheng (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Preserving Privacy in Fine-Grained Data Distillation With Sparse Answers for Efficient Edge Computing. - Ke Pan; Maoguo Gong; Kaiyuan Feng; Hui Li 006 (IEEE Internet Things J., 2025)

Few-Shot Learning With Enhancements to Data Augmentation and Feature Extraction. - Yourun Zhang; Maoguo Gong; Jianzhao Li; Kaiyuan Feng; Mingyang Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

SAAF: Self-Adaptive Attention Factor-Based Taylor-Pruning on Convolutional Neural Networks. - Yiheng Lu; Maoguo Gong; Kaiyuan Feng; Jialu Liu; Ziyu Guan; Hao Li 009 (IEEE Trans. Neural Networks Learn. Syst., 2025)