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
The impacts of platform owner entry on prospective complementors' intention to join: Discouraged by deterrent or attracted by good reputation.
Electron. Mark., December, 2024
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks.
BMC Bioinform., December, 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
Automatic Estimation of Fresnel Zones in Migrated Dip-Angle Gathers Using Semantic Segmentation Model.
IEEE Trans. Geosci. Remote. Sens., 2024
A Fast Solution for the Eikonal Equation Based on Quadratic Function in Weakly Tilted Transversely Isotropic Media.
IEEE Trans. Geosci. Remote. Sens., 2024
LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Adapting to discontinuous technological change from the perspective of knowledge management: a case study from the lighting industry in Lin'an, China.
J. Knowl. Manag., 2024
Inf. Technol. Control., 2024
A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks.
Appl. Soft Comput., 2024
Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 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
Frontiers Neurorobotics, June, 2023
Multi-Agent Optimal Control for Central Chiller Plants Using Reinforcement Learning and Game Theory.
Syst., March, 2023
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
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
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
BMC Bioinform., 2021
Briefings Bioinform., 2021
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
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
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
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
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
J. Softw., 2012
2011
Proceedings of the IEEE International Conference on Automation and Logistics, 2011
2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
2008
IEEE Signal Process. Lett., 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
2007
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007