Zhiwei Ji

Orcid: 0000-0002-0891-7118

According to our database1, Zhiwei Ji authored at least 31 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction.
Briefings Bioinform., January, 2024

OS-SSVEP: One-shot SSVEP classification.
Neural Networks, 2024

Intelligent fault diagnosis for air handing units based on improved generative adversarial network and deep reinforcement learning.
Expert Syst. Appl., 2024

2023
HNSPPI: a hybrid computational model combing network and sequence information for predicting protein-protein interaction.
Briefings Bioinform., September, 2023

Prediction of disease-linked miRNAs based on SODNMF-DM.
Biomed. Signal Process. Control., May, 2023

Automated CT pancreas segmentation for acute pancreatitis patients by combining a novel object detection approach and U-Net.
Biomed. Signal Process. Control., March, 2023

Deep Transfer Learning for Cross-Species Plant Disease Diagnosis Adapting Mixed Subdomains.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification.
CoRR, 2023

2022
Single-channel EEG automatic sleep staging based on transition optimized HMM.
Multim. Tools Appl., 2022

A space-embedding strategy for anomaly detection in multivariate time series.
Expert Syst. Appl., 2022

2021
Multivariate Air Quality Forecasting With Nested Long Short Term Memory Neural Network.
IEEE Trans. Ind. Informatics, 2021

Guest Editorial: Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A Novel Deep Learning Approach for Anomaly Detection of Time Series Data.
Sci. Program., 2021

K-size partial reduct: Positive region optimization for attribute reduction.
Knowl. Based Syst., 2021

Multi-scale modeling for systematically understanding the key roles of microglia in AD development.
Comput. Biol. Medicine, 2021

2020
Detection and Recognition for Life State of Cell Cancer Using Two-Stage Cascade CNNs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2019
Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Systematically understanding the immunity leading to CRPC progression.
PLoS Comput. Biol., 2019

A novel computational approach for discord search with local recurrence rates in multivariate time series.
Inf. Sci., 2019

A Hybrid LSTM Neural Network for Energy Consumption Forecasting of Individual Households.
IEEE Access, 2019

2018
Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach.
IEEE Access, 2018

2017
Automatic labeling of mobile apps by the type of psychological needs they satisfy.
Telematics Informatics, 2017

Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM.
Neurocomputing, 2017

A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy.
BMC Syst. Biol., 2017

2015
NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma.
Comput. Math. Methods Medicine, 2015

Identification of Mild Cognitive Impairment Using Extreme Learning Machines Model.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

A Review of Parameter Learning Methods in Bayesian Network.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014
Predicting dynamic deformation of retaining structure by LSSVR-based time series method.
Neurocomputing, 2014

2013
Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features.
BMC Bioinform., 2013

Disease-Related Gene Expression Analysis Using an Ensemble Statistical Test Method.
Proceedings of the Intelligent Computing Theories and Technology, 2013


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