HCFS: A Density Peak Based Clustering Algorithm Employing A Hierarchical Strategy. - Linlin Zhuo; Kenli Li 001; Bo Liao; Hao Li 025; Xiaohui Wei 001; Keqin Li 001 (IEEE Access, 2019)

An online and generalized non-negativity constrained model for large-scale sparse tensor estimation on multi-GPU. - Linlin Zhuo; Kenli Li 001; Hao Li 025; Jiwu Peng; Keqin Li 001 (Neurocomputing, 2020)

Predicting NPI Based on Graph Convolutional Neural Networks. - Linlin Zhuo; Wei Yang 014; Jing Jia; Huila Wang (ICCT, 2021)

MVTLR-HCFS: Density Peak Algorithm Based on Multi-View and Tensor Low Rank Expression. - Wei Yang 014; Linlin Zhuo; Jing Zeng; Yijun Zhao; Qiaojie Jiang; Dongliang Xie (IEEE Access, 2021)

A DNN Operation Scheme Based on IPSO for UAV-Assisted MEC Networks. - Zhenqian Wang; Wei Yang 014; Bo Zhang; Linlin Zhuo; Huigui Rong (ICCT, 2022)

Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning. - Linlin Zhuo; Bosheng Song; Yuansheng Liu; Zejun Li; Xiangzheng Fu (Briefings Bioinform., 2022)

HeadTailTransfer: An efficient sampling method to improve the performance of graph neural network method in predicting sparse ncRNA-protein interactions. - Jinhang Wei; Linlin Zhuo; Shiyao Pan; Xinze Lian; Xiaojun Yao; Xiangzheng Fu (Comput. Biol. Medicine, 2023)

GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning. - Jinhang Wei; Linlin Zhuo; Zhecheng Zhou; Xinze Lian; Xiangzheng Fu; Xiaojun Yao (Briefings Bioinform., 2023)

MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism. - Zhecheng Zhou; Zhenya Du; Jinhang Wei; Linlin Zhuo; Shiyao Pan; Xiangzheng Fu; Xinze Lian (Comput. Biol. Medicine, 2023)

MS-BACL: enhancing metabolic stability prediction through bond graph augmentation and contrastive learning. - Tao Wang; Zhen Li 015; Linlin Zhuo; Yifan Chen; Xiangzheng Fu; Quan Zou 001 (Briefings Bioinform., 2024)

Diff-AMP: tailored designed antimicrobial peptide framework with all-in-one generation, identification, prediction and optimization. - Rui Wang; Tao Wang; Linlin Zhuo; Jinhang Wei; Xiangzheng Fu; Quan Zou 001; Xiaojun Yao (Briefings Bioinform., 2024)

Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugs. - Zhecheng Zhou; Linlin Zhuo; Xiangzheng Fu; Quan Zou 001 (Briefings Bioinform., 2024)

Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction. - Xinqian Ma; Zhen Li 015; Zhenya Du; Yan Xu; Yifan Chen; Linlin Zhuo; Xiangzheng Fu; Ruijun Liu (Comput. Biol. Medicine, 2024)

RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion. - Shu-Hao Wang; Yan Zhao; Chun-Chun Wang; Fei Chu; Lian-Ying Miao; Li Zhang; Linlin Zhuo; Xing Chen 001 (Comput. Biol. Medicine, 2024)

Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning. - Jinhang Wei; Zhen Li 015; Linlin Zhuo; Xiangzheng Fu; Mingjing Wang; Keqin Li 001; Chengshui Chen (Comput. Biol. Medicine, 2024)

Multi-source data integration for explainable miRNA-driven drug discovery. - Zhen Li 015; Qingquan Liao; Wenbin Liu; Peng Xu 004; Linlin Zhuo; Xiangzheng Fu; Quan Zou 001 (Future Gener. Comput. Syst., 2024)

ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph. - Tao Wang; Wentao Wang; Xin Jiang 006; Jiaxing Mao; Linlin Zhuo; Mingzhe Liu 001; Xiangzheng Fu; Xiaojun Yao (J. Chem. Inf. Model., 2024)

An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy. - Rui Wang; Zhecheng Zhou; Xiaonan Wu; Xin Jiang 006; Linlin Zhuo; Mingzhe Liu 001; Hao Li 025; Xiangzheng Fu; Xiaojun Yao (J. Chem. Inf. Model., 2024)

ECD-CDGI: An efficient energy-constrained diffusion model for cancer driver gene identification. - Tao Wang; Linlin Zhuo; Yifan Chen; Xiangzheng Fu; Xiangxiang Zeng; Quan Zou 001 (PLoS Comput. Biol., 2024)

SGPS-IMR: Efficiently inferring microbial resistance using self-supervised graph perturbation strategy. - Wentao Wang; Linlin Zhuo; Zhecheng Zhou; Xiangzheng Fu; Quan Zou 001 (Expert Syst. Appl., 2025)

MultiCTox: Empowering Accurate Cardiotoxicity Prediction through Adaptive Multimodal Learning. - Lin Feng; Xiangzheng Fu; Zhenya Du; Yuting Guo; Linlin Zhuo; Yan Yang; Dong-Sheng Cao 001; Xiaojun Yao (J. Chem. Inf. Model., 2025)

GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation. - Shengxiang Wang; Ge Li; Min Gao; Linlin Zhuo; Mingzhe Liu 001; Zhizhong Ma; Wei Zhao; Xiangzheng Fu (npj Digit. Medicine, 2025)

AEGNN-M:A 3D Graph-Spatial Co-Representation Model for Molecular Property Prediction. - Lijun Cai; Yuling He; Xiangzheng Fu; Linlin Zhuo; Quan Zou 001; Xiaojun Yao (IEEE J. Biomed. Health Informatics, 2025)

CardiOT: Towards Interpretable Drug Cardiotoxicity Prediction Using Optimal Transport and Kolmogorov-Arnold Networks. - Xinyu Zhang; Hao Wang; Zhenya Du; Linlin Zhuo; Xiangzheng Fu; Dongsheng Cao 001; Boqia Xie; Keqin Li 001 (IEEE J. Biomed. Health Informatics, 2025)

A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships. - Shaopeng Liu; Wanlu Hu; Chun-Chun Wang; Linlin Zhuo; Xu Lu 002 (BMC Medical Informatics Decis. Mak., 2025)