Chinese Named Entity Recognition Based on Rules and Conditional Random Field. - Weiming Liu; Bin Yu 011; Chen Zhang 015; Han Wang; Ke Pan 001 (CSAI/ICIMT, 2018)

Enhancing Attributed Network Embedding via Similarity Measure. - Bin Yu 011; Yitong Li; Chen Zhang 015; Ke Pan 001; Yu Xie 009 (IEEE Access, 2019)

Differential privacy preservation in regression analysis based on relevance. - Maoguo Gong; Ke Pan 001; Yu Xie 009 (Knowl. Based Syst., 2019)

A Survey on Differentially Private Machine Learning [Review Article]. - Maoguo Gong; Yu Xie 009; Ke Pan 001; Kaiyuan Feng; Alex Kai Qin (IEEE Comput. Intell. Mag., 2020)

Deep heterogeneous network embedding based on Siamese Neural Networks. - Chen Zhang 015; Zhouhua Tang; Bin Yu 011; Yu Xie 009; Ke Pan 001 (Neurocomputing, 2020)

Node proximity preserved dynamic network embedding via matrix perturbation. - Bin Yu 011; Bing Lu; Chen Zhang 015; Chunyi Li; Ke Pan 001 (Knowl. Based Syst., 2020)

Proximity-aware heterogeneous information network embedding. - Chen Zhang 015; Guodong Wang; Bin Yu 011; Yu Xie 009; Ke Pan 001 (Knowl. Based Syst., 2020)

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition. - Maoguo Gong; Ke Pan 001; Yu Xie 009; A. Kai Qin; Zedong Tang (Neural Networks, 2020)

Influence-aware graph neural networks. - Bin Yu 011; Yu Zhang; Yu Xie 009; Chen Zhang 015; Ke Pan 001 (Appl. Soft Comput., 2021)

Multi-Party Dual Learning. - Maoguo Gong; Yuan Gao 019; Yu Xie 009; A. Kai Qin; Ke Pan 001; Yew-Soon Ong (CoRR, 2021)

Dynamic network embedding via structural attention. - Chen Zhang 015; Yiming Fan; Yu Xie 009; Bin Yu 011; Chunyi Li; Ke Pan 001 (Expert Syst. Appl., 2021)

Differentially private regression analysis with dynamic privacy allocation. - Ke Pan 001; Maoguo Gong; Kaiyuan Feng; Kun Wang (Knowl. Based Syst., 2021)

Privacy-enhanced generative adversarial network with adaptive noise allocation. - Ke Pan 001; Maoguo Gong; Yuan Gao 019 (Knowl. Based Syst., 2023)

Multiparty Dual Learning. - Yuan Gao 019; Maoguo Gong; Yu Xie 009; A. Kai Qin; Ke Pan 001; Yew-Soon Ong (IEEE Trans. Cybern., 2023)

Differential privacy in deep learning: A literature survey. - Ke Pan 001; Yew-Soon Ong; Maoguo Gong; Hui Li 006; A. Kai Qin; Yuan Gao 019 (Neurocomputing, 2024)

Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification. - Kaiyuan Feng; Maoguo Gong; Ke Pan 001; Hongyu Zhao 007; Yue Wu 004; Kai Sheng (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Privacy-enhanced data distillation with probability distribution matching. - Ke Pan 001; Yuxin Wen; Yiming Wang; Maoguo Gong; Hui Li 006; Shanfeng Wang (Neurocomputing, 2025)

Preserving Privacy in Fine-Grained Data Distillation With Sparse Answers for Efficient Edge Computing. - Ke Pan 001; Maoguo Gong; Kaiyuan Feng; Hui Li 006 (IEEE Internet Things J., 2025)