Zhengwei Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2024
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics, March, 2024

GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association.
IEEE J. Biomed. Health Informatics, March, 2024

SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution.
J. Chem. Inf. Model., January, 2024

LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023
An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding.
Comput. Biol. Medicine, October, 2023

Efficient push-grasping for multiple target objects in clutter environments.
Frontiers Neurorobotics, June, 2023

Multi-Agent Optimal Control for Central Chiller Plants Using Reinforcement Learning and Game Theory.
Syst., March, 2023

Adversarial dense graph convolutional networks for single-cell classification.
Bioinform., February, 2023

Remote control of muscle-driven miniature robots with battery-free wireless optoelectronics.
Sci. Robotics, January, 2023

SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs.
Briefings Bioinform., January, 2023

Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

R-YOLOv5: A Lightweight Rotational Object Detection Algorithm for Real-Time Detection of Vehicles in Dense Scenes.
IEEE Access, 2023

ADARES: A Single-cell Classification Model Based on Adversarial Data Augmentation and Residual Networks.
Proceedings of the 6th International Conference on Signal Processing and Machine Learning, 2023

A Graph Neural Network with Multiple Auxiliary Tasks for Accurate Single Cell Classiଁcation.
Proceedings of the 6th International Conference on Signal Processing and Machine Learning, 2023

End-to-End Unsupervised Style and Resolution Transfer Adaptation Segmentation Model for Remote Sensing Images.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

A Two-Dimensional Reticular Core Optical Waveguide Sensor for Tactile and Positioning Sensing.
IROS, 2023

2022
Short-Packet Backscatter Assisted Wireless-Powered Relaying With NOMA: Mode Selection With Performance Estimation.
IEEE Trans. Cogn. Commun. Netw., 2022

A Multimodal Fusion Model for Estimating Human Hand Force: Comparing surface electromyography and ultrasound signals.
IEEE Robotics Autom. Mag., 2022

GCMCDTI: Graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion.
J. Bioinform. Comput. Biol., 2022

Self-supervised part segmentation via motion imitation.
Image Vis. Comput., 2022

Predicting miRNA-disease associations based on graph random propagation network and attention network.
Briefings Bioinform., 2022

iGRLCDA: identifying circRNA-disease association based on graph representation learning.
Briefings Bioinform., 2022

A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction.
Briefings Bioinform., 2022

PG-YOLO: A Novel Lightweight Object Detection Method for Edge Devices in Industrial Internet of Things.
IEEE Access, 2022

Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks.
Proceedings of the Intelligent Computing Theories and Application, 2022

Research on the Potential Mechanism of Rhizoma Drynariae in the Treatment of Periodontitis Based on Network Pharmacology.
Proceedings of the Intelligent Computing Theories and Application, 2022

The CNV Predict Model in Esophagus Cancer.
Proceedings of the Intelligent Computing Theories and Application, 2022

The Prognosis Model of Clear Cell Renal Cell Carcinoma Based on Allograft Rejection Markers.
Proceedings of the Intelligent Computing Theories and Application, 2022

Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins' Anti-oxidant Activity with the Help of Artificial Neural Network.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering.
BMC Medical Informatics Decis. Mak., 2021

Sequence-tracker: Multiple object tracking with sequence features in severe occlusion scene.
J. Vis. Commun. Image Represent., 2021

EdgeGAN: One-way mapping generative adversarial network based on the edge information for unpaired training set.
J. Vis. Commun. Image Represent., 2021

Snoring detection based on a stretchable strain sensor.
Sci. China Inf. Sci., 2021

Combined embedding model for MiRNA-disease association prediction.
BMC Bioinform., 2021

A graph auto-encoder model for miRNA-disease associations prediction.
Briefings Bioinform., 2021

UCAS-Hand: An Underactuated Powered Hand Exoskeleton for Assisting Grasping Task.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Delineating QSAR Descriptors to Explore the Inherent Properties of Naturally Occurring Polyphenols, Responsible for Alpha-Synuclein Amyloid Disaggregation Scheming Towards Effective Therapeutics Against Parkinson's Disorder.
Proceedings of the Intelligent Computing Theories and Application, 2021

Study on the Mechanism of Cistanche in the Treatment of Colorectal Cancer Based on Network Pharmacology.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model.
BMC Bioinform., 2020

Image Classification Based on Deep Belief Network and YELM.
Proceedings of the Intelligent Computing Theories and Application, 2020

GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional Networks.
Proceedings of the Intelligent Computing Theories and Application, 2020

Expression and Gene Regulation Network of ELF3 in Breast Invasive Carcinoma Based on Data Mining.
Proceedings of the Intelligent Computing Theories and Application, 2020

A Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

Design and Control of an Index Finger Exoskeleton with Cable-Driven Translational Joints.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

2019
Prediction of potential miRNA-disease associations using matrix decomposition and label propagation.
Knowl. Based Syst., 2019

Using discriminative vector machine model with 2DPCA to predict interactions among proteins.
BMC Bioinform., 2019

An Efficient LightGBM Model to Predict Protein Self-interacting Using Chebyshev Moments and Bi-gram.
Proceedings of the Intelligent Computing Theories and Application, 2019

LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2019

Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
Fatigue Performance of RC Beams Strengthened with CFRP under Overloads with a Ladder Spectrum.
Sensors, 2018

A novel neural electrode with micro-motion-attenuation capability based on compliant mechanisms - physical design concepts and evaluations.
Medical Biol. Eng. Comput., 2018

Design and Control of a Wearable Hand Rehabilitation Robot.
IEEE Access, 2018

Efficient Framework for Predicting ncRNA-Protein Interactions Based on Sequence Information by Deep Learning.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.
PLoS Comput. Biol., 2017

2015
Landslide susceptibility evaluation based on BPNN and GIS: a case of Guojiaba in the Three Gorges Reservoir Area.
Int. J. Geogr. Inf. Sci., 2015

2014
Stochastic chiller sequencing control for multiple-chiller plants.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2012
Adaptable, scalable, probabilistic fault detection and diagnostic methods for the HVAC secondary system.
PhD thesis, 2012

Fault Diagnosis Based on Improved Kernel Fisher Discriminant Analysis.
J. Softw., 2012

2011
A real-time data acquisition system for mechanical nanometer displacement sensors.
Proceedings of the IEEE International Conference on Automation and Logistics, 2011

2010
Hybrid particle swarm optimization algorithm and its application.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2008
Decoding Electromyographic Signal With Multiple Labels for Hand Gesture Recognition.
IEEE Signal Process. Lett., 2008

A Self-Adaptive Mutation-Particle Swarm Optimization Algorithm.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
Coal Thickness Prediction Based on Support Vector Machine Regression.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007


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