NASC: A Novel Approach for Spam Classification. - Gang Liang; Tao Li 016; Xun Gong 006; Yaping Jiang; Jin Yang 008; Jiancheng Ni 001 (ICIC (3), 2006)

An Immunity-Based Dynamic Multilayer Intrusion Detection System. - Gang Liang; Tao Li 016; Jiancheng Ni 001; Yaping Jiang; Jin Yang 008; Xun Gong 006 (ICIC (3), 2006)

FSCP: A Resource Space Model Based on Semantically Enabled P2P Grid. - Jun Ye; Zhishu Li; Feng Yin; Jiancheng Ni 001; Qing Li (IMECS, 2007)

Software Fault Localization Based on Testing Requirement and Program Slice. - Jirong Sun; Zhishu Li; Jiancheng Ni 001; Feng Yin (IEEE NAS, 2007)

Threats Analysis and Prevention for Grid and Web Service Security. - Jiancheng Ni 001; Zhishu Li; Zhonghe Gao; Jirong Sun (SNPD (3), 2007)

Self-adaptive Intrusion Detection System for Computational Grid. - Jiancheng Ni 001; Zhishu Li; Jirong Sun; Jianchuan Xing (TASE, 2007)

Dichotomy Method toward Interactive Testing-Based Fault Localization. - Jirong Sun; Zhishu Li; Jiancheng Ni 001 (ADMA, 2008)

HGMDA: HyperGraph for Predicting MiRNA-Disease Association. - Qing-Wen Wu; Yu-Tian Wang; Zhen Gao; Ming-Wen Zhang; Jian-Cheng Ni 001; Chun-Hou Zheng 001 (ICIC (2), 2019)

Instance Mask Embedding and Attribute-Adaptive Generative Adversarial Network for Text-to-Image Synthesis. - Jiancheng Ni 001; Susu Zhang; Zili Zhou; Jie Hou; Feng Gao (IEEE Access, 2020)

Graph regularized L2, 1-nonnegative matrix factorization for miRNA-disease association prediction. - Zhen Gao; Yu-Tian Wang; Qing-Wen Wu; Jian-Cheng Ni 001; Chun-Hou Zheng 001 (BMC Bioinform., 2020)

RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association. - Ming-Wen Zhang; Yu-Tian Wang; Zhen Gao; Lei Li; Jian-Cheng Ni 001; Chun-Hou Zheng 001 (ICIC (3), 2021)

GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest. - Qing-Wen Wu; Jun-Feng Xia; Jian-Cheng Ni 001; Chun-Hou Zheng 001 (Briefings Bioinform., 2021)

AEMDA: inferring miRNA-disease associations based on deep autoencoder. - Cunmei Ji; Zhen Gao; Xu Ma; Qing-Wen Wu; Jian-Cheng Ni 001; Chunhou Zheng 001 (Bioinform., 2021)

Background and foreground disentangled generative adversarial network for scene image synthesis. - Jiancheng Ni 001; Susu Zhang; Zili Zhou; Lijun Hou; Jie Hou; Feng Gao (Comput. Graph., 2021)

Global-Affine and Local-Specific Generative Adversarial Network for semantic-guided image generation. - Susu Zhang; Jiancheng Ni 001; Lijun Hou; Zili Zhou; Jie Hou; Feng Gao (Math. Found. Comput., 2021)

MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features. - Yu-Tian Wang; Qing-Wen Wu; Zhen Gao; Jian-Cheng Ni 001; Chun-Hou Zheng 001 (BMC Medical Informatics Decis. Mak., 2021)

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization. - Lei Li; Zhen Gao; Yu-Tian Wang; Ming-Wen Zhang; Jian-Cheng Ni 001; Chun-Hou Zheng 001; Yansen Su (PLoS Comput. Biol., 2021)

GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder. - Lei Li; Yu-Tian Wang; Cunmei Ji; Chun-Hou Zheng 001; Jian-Cheng Ni 001; Yan-Sen Su (PLoS Comput. Biol., 2021)

Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing. - Rong Qi; Chun-Hou Zheng 001; Cunmei Ji; Ning Yu; Jian-Cheng Ni 001; Yu-Tian Wang (ICIC (2), 2022)

GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations. - Dian-Xiao Wang; Cunmei Ji; Yu-Tian Wang; Lei Li; Jian-Cheng Ni 001; Bin Li (ICIC (2), 2022)

A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs. - Zhen Gao; Yu-Tian Wang; Qing-Wen Wu; Lei Li; Jian-Cheng Ni 001; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder. - Cunmei Ji; Yutian Wang; Zhen Gao; Lei Li; Jiancheng Ni 001; Chunhou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Predicting miRNA-Disease Association Based on Improved Graph Regression. - Lei Li; Zhen Gao; Chun-Hou Zheng 001; Rong Qi; Yu-Tian Wang; Jian-Cheng Ni 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation. - Qing-Wen Wu; Rui-Fen Cao; Jun-Feng Xia; Jian-Cheng Ni 001; Chunhou Zheng 001; Yan-Sen Su (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association. - Zhi-Hao Liu; Cunmei Ji; Jian-Cheng Ni 001; Yu-Tian Wang; Li-Juan Qiao; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis. - Sheng-Wen Tian; Jiancheng Ni 001; Yu-Tian Wang; Chun-Hou Zheng 001; Cunmei Ji (IEEE J. Biomed. Health Informatics, 2023)

SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association Prediction. - Cunmei Ji; Ning Yu; Yu-Tian Wang; Jiancheng Ni 001; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Using Multi-Encoder Semi-Implicit Graph Variational Autoencoder to Analyze Single-Cell RNA Sequencing Data. - Shengwen Tian; Cunmei Ji; Jiancheng Ni 001; Yutian Wang; Chunhou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)