Disease-Related Gene Expression Analysis Using an Ensemble Statistical Test Method. - Bing Wang 004; Zhiwei Ji (ICIC (2), 2013)

Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features. - Bing Wang 004; Jun Zhang 011; Peng Chen 001; Zhiwei Ji; Shuping Deng; Chi Li (BMC Bioinform., 2013)

Predicting dynamic deformation of retaining structure by LSSVR-based time series method. - Zhiwei Ji; Bing Wang 004; Suping Deng; Zhuhong You (Neurocomputing, 2014)

A Review of Parameter Learning Methods in Bayesian Network. - Zhiwei Ji; Qibiao Xia; Guanmin Meng (ICIC (3), 2015)

Identification of Mild Cognitive Impairment Using Extreme Learning Machines Model. - Wen Zhang; Hao Shen; Zhiwei Ji; Guanmin Meng; Bing Wang 004 (ICIC (2), 2015)

NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma. - Zhiwei Ji; Guanmin Meng; Deshuang Huang; Xiao-Qiang Yue; Bing Wang 004 (Comput. Math. Methods Medicine, 2015)

A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy. - Zhiwei Ji; Bing Wang 004; Ke Yan 001; Ligang Dong; Guanmin Meng; Lei Shi (BMC Syst. Biol., 2017)

Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM. - Ke Yan 001; Zhiwei Ji; Wen Shen 001 (Neurocomputing, 2017)

Automatic labeling of mobile apps by the type of psychological needs they satisfy. - Zaoyi Sun; Zhiwei Ji; Pei Zhang; Chuansheng Chen; Xiuying Qian; Xin Du 005; Qun Wan (Telematics Informatics, 2017)

Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach. - Min Hu; Zhiwei Ji; Ke Yan 001; Ye Guo; Xiaowei Feng; Jiaheng Gong; Xin Zhao; Ligang Dong (IEEE Access, 2018)

A Hybrid LSTM Neural Network for Energy Consumption Forecasting of Individual Households. - Ke Yan 001; Wei Li 175; Zhiwei Ji; Meng Qi; Yang Du 005 (IEEE Access, 2019)

A novel computational approach for discord search with local recurrence rates in multivariate time series. - Min Hu; Xiaowei Feng; Zhiwei Ji; Ke Yan 001; Shengchen Zhou (Inf. Sci., 2019)

Systematically understanding the immunity leading to CRPC progression. - Zhiwei Ji; Weiling Zhao; Hui-Kuan Lin; Xiaobo Zhou 005 (PLoS Comput. Biol., 2019)

Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units. - Ke Yan 001; Zhiwei Ji; Huijuan Lu; Jing Huang 005; Wen Shen 001; Yu Xue 003 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Detection and Recognition for Life State of Cell Cancer Using Two-Stage Cascade CNNs. - Haigen Hu; Qiu Guan; Shengyong Chen; Zhiwei Ji; Yao Lin (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Multi-scale modeling for systematically understanding the key roles of microglia in AD development. - Zhiwei Ji; Changan Liu; Weiling Zhao; Claudio Soto; Xiaobo Zhou (Comput. Biol. Medicine, 2021)

K-size partial reduct: Positive region optimization for attribute reduction. - Xiaojun Xie; Xingjian Gu; Yanbin Li; Zhiwei Ji (Knowl. Based Syst., 2021)

A Novel Deep Learning Approach for Anomaly Detection of Time Series Data. - Zhiwei Ji; Jiaheng Gong; Jiarui Feng (Sci. Program., 2021)

Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. - Wenyan Wang; Yuming Zhou; Mu-Tian Cheng; Yan Wang; Chun-Hou Zheng 001; Yan Xiong 001; Peng Chen 001; Zhiwei Ji; Bing Wang 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Guest Editorial: Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution. - Ke Yan 001; Zhiwei Ji; Qun Jin; Qing-Guo Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Multivariate Air Quality Forecasting With Nested Long Short Term Memory Neural Network. - Ning Jin 001; Yongkang Zeng; Ke Yan 001; Zhiwei Ji (IEEE Trans. Ind. Informatics, 2021)

A space-embedding strategy for anomaly detection in multivariate time series. - Zhiwei Ji; Yi Wang; Ke Yan 001; Xiaojun Xie; Yang Xiang; Jing Huang 005 (Expert Syst. Appl., 2022)

Single-channel EEG automatic sleep staging based on transition optimized HMM. - Jing Huang 005; Lifeng Ren; Zhiwei Ji; Ke Yan 001 (Multim. Tools Appl., 2022)

Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification. - Yang Deng; Zhiwei Ji; Yijun Wang 001; S. Kevin Zhou (CoRR, 2023)

Deep Transfer Learning for Cross-Species Plant Disease Diagnosis Adapting Mixed Subdomains. - Ke Yan 001; Xinlu Guo; Zhiwei Ji; Xiaokang Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Automated CT pancreas segmentation for acute pancreatitis patients by combining a novel object detection approach and U-Net. - Yang Deng; Lan Lan 003; Lei You 005; Kai Chen; Li Peng; Weiling Zhao; Bin Song; Yi Wang; Zhiwei Ji; Xiaobo Zhou 005 (Biomed. Signal Process. Control., 2023)

Prediction of disease-linked miRNAs based on SODNMF-DM. - Bingsheng Yang; Jian Li 032; Zhiwei Ji; Yaoping Ruan; Tongcun Liu; Hailin Feng (Biomed. Signal Process. Control., 2023)

HNSPPI: a hybrid computational model combing network and sequence information for predicting protein-protein interaction. - Shijie Xie; Xiaojun Xie; Xin Zhao; Fei Liu; Yiming Wang; Jihui Ping; Zhiwei Ji (Briefings Bioinform., 2023)

Intelligent fault diagnosis for air handing units based on improved generative adversarial network and deep reinforcement learning. - Ke Yan 001; Cheng Lu; Xiang Ma; Zhiwei Ji; Jing Huang 005 (Expert Syst. Appl., 2024)

OS-SSVEP: One-shot SSVEP classification. - Yang Deng; Zhiwei Ji; Yijun Wang 001; S. Kevin Zhou (Neural Networks, 2024)

ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction. - Yi-Heng Zhu 001; Zi Liu; Yan Liu 038; Zhiwei Ji; Dong-Jun Yu (Briefings Bioinform., 2024)

CCA-Net: Zero-Shot SSVEP Classification via an Integration of Canonical Correlation Analysis and Deep Neural Network. - Yang Deng; Zhiwei Ji; Yijun Wang 001; S. Kevin Zhou (IEEE Trans. Instrum. Meas., 2025)

Drug-target interaction prediction based on graph convolutional autoencoder with dynamic weighting residual GCN. - Ming Zeng; Min Wang 020; Fuqiang Xie; Zhiwei Ji (BMC Bioinform., 2025)