Rong Gao

According to our database1, Rong Gao authored at least 120 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
Reliability importance analysis of uncertain random k-out-of-n systems with multiple states.
Reliab. Eng. Syst. Saf., March, 2024

Computing the reliability of mixed uncertain random k-out-of-n systems with multiple possible states.
J. Comput. Appl. Math., March, 2024

Contrastive graph learning long and short-term interests for POI recommendation.
Expert Syst. Appl., March, 2024

Hybrid graph transformer networks for multivariate time series anomaly detection.
J. Supercomput., January, 2024

Low-light image enhancement base on brightness attention mechanism generative adversarial networks.
Multim. Tools Appl., January, 2024

Multi-level contrastive graph learning for academic abnormality prediction.
Neural Comput. Appl., 2024

Course Recommendation Model Based on Layer Dropout Graph Differential Contrastive Learning.
IEEE Access, 2024

2023
Exploring the Impact of Delay on Hopf Bifurcation of a Type of BAM Neural Network Models Concerning Three Nonidentical Delays.
Neural Process. Lett., December, 2023

A fluctuant population strategy for differential evolution.
Evol. Intell., December, 2023

Green supply chain analysis considering extended warranty with uncertain factors based on confidence level.
J. Ambient Intell. Humaniz. Comput., October, 2023

Uncertain multilevel programming with application to omni-channel vehicle routing problem.
J. Ambient Intell. Humaniz. Comput., July, 2023

Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection.
Sensors, February, 2023

High-order deep infomax-guided deformable transformer network for efficient lane detection.
Signal Image Video Process., 2023

Lightweight object detection model fused with feature pyramid.
Multim. Tools Appl., 2023

Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation.
Knowl. Based Syst., 2023

Mean-Gini portfolio selection with uncertain returns.
J. Intell. Fuzzy Syst., 2023

Uncertain random bilevel programming models and their application to shared capacity routing problem.
J. Comput. Appl. Math., 2023

Numerical analysis of the direct method for 3D Maxwell's equation in Kerr-type nonlinear media.
Adv. Comput. Math., 2023

Prediction of Graduation Development Based on Hypergraph Contrastive Learning With Imbalanced Sampling.
IEEE Access, 2023

K-TAHP: A Kubernetes Load Balancing Strategy Base on TOPSIS+AHP.
IEEE Access, 2023

Dynamic Graph Learning with Long and Short-Term for Multivariate Time Series Anomaly Detection.
Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

2022
The Opto-Mechanical-Thermal Coupling Analysis and Verification of an All-Aluminum Freeform Imaging Telescope.
Symmetry, November, 2022

Pricing rainbow option for uncertain financial market.
RAIRO Oper. Res., November, 2022

Exploring the mono-/bistability range of positively autoregulated signaling systems in the presence of competing transcription factor binding sites.
PLoS Comput. Biol., November, 2022

Deep Recommendation With Adversarial Training.
IEEE Trans. Emerg. Top. Comput., 2022

Existence and Uniqueness Theorem for Uncertain Wave Equation.
Symmetry, 2022

A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information.
Sensors, 2022

A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs.
Sensors, 2022

Hybrid neural networks based facial expression recognition for smart city.
Multim. Tools Appl., 2022

Mixed attention hourglass network for robust face alignment.
Int. J. Mach. Learn. Cybern., 2022

American Barrier Option Pricing Formulas for Currency Model in Uncertain Environment.
J. Syst. Sci. Complex., 2022

Neural Graph for Personalized Tag Recommendation.
IEEE Intell. Syst., 2022

Detecting the critical states during disease development based on temporal network flow entropy.
Briefings Bioinform., 2022

Social-path embedding-based transformer for graduation development prediction.
Appl. Intell., 2022

CdCLR: Clip-Driven Contrastive Learning for Skeleton-Based Action Recognition.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

EINE: Relation Classification by Enhancing the Impact of Non-Entity words.
Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022

Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Human Action Recognition Using Hybrid Deep Evolving Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Ghost-YOLOX: A Lightweight and Efficient Implementation of Object Detection Model.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Small Foreign Metal Objects Detection in X-Ray Images of Clothing Products Using Faster R-CNN and Feature Pyramid Network.
IEEE Trans. Instrum. Meas., 2021

Asian rainbow option pricing formulas of uncertain stock model.
Soft Comput., 2021

Elliptic entropy of uncertain random variables with application to portfolio selection.
Soft Comput., 2021

A hybrid neural network approach to combine textual information and rating information for item recommendation.
Knowl. Inf. Syst., 2021

American Basket Option Pricing Formulas in Uncertain Environment.
J. Uncertain Syst., 2021

Convergence in Distribution for Uncertain Random Sequences with Dependent Random Variables.
J. Syst. Sci. Complex., 2021

A Static and Dynamic Co-attention Network for Social Recommendation.
Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

Research on a Service-oriented Dynamic Adaptive Software Architecture.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020
Green supply chain analysis under cost sharing contract with uncertain information based on confidence level.
Soft Comput., 2020

Frugal innovation in supply chain cooperation considering e-retailer's platform value.
Soft Comput., 2020

Partial divergence measure of uncertain random variables and its application.
Soft Comput., 2020

SDAE-GAN: Enable high-dimensional pathological images in liver cancer survival prediction with a policy gradient based data augmentation method.
Medical Image Anal., 2020

Analysis of green supply chain considering green degree and sales effort with uncertain demand.
J. Intell. Fuzzy Syst., 2020

Partial similarity measure of uncertain random variables and its application to portfolio selection.
J. Intell. Fuzzy Syst., 2020

Covariance of uncertain random variables and its application to portfolio optimization.
J. Ambient Intell. Humaniz. Comput., 2020

Elective future: The influence factor mining of students' graduation development based on hierarchical attention neural network model with graph.
Appl. Intell., 2020

On block triangular preconditioned iteration methods for solving the Helmholtz equation.
Appl. Math. Comput., 2020

HHA: An Attentive Prediction Model for Academic Abnormality.
IEEE Access, 2020

Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Robust H-infinity Predictive Control For Uncertain Singular Delay Systems.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019
An improved fair channel hopping protocol for dynamic environments in cognitive radio networks.
Wirel. Networks, 2019

Uncertain Wave Equation for Vibrating String.
IEEE Trans. Fuzzy Syst., 2019

Covariance and Pseudo-Covariance of Complex Uncertain Variables.
J. Intell. Fuzzy Syst., 2019

Neural Personalized Ranking via Poisson Factor Model for Item Recommendation.
Complex., 2019

Two-period pricing and strategy choice for a supply chain with dual uncertain information under different profit risk levels.
Comput. Ind. Eng., 2019

A necessary and sufficient RHC stabilizability condition for stochastic control with delayed input.
Appl. Math. Comput., 2019

Stability of solution for uncertain wave equation.
Appl. Math. Comput., 2019

Stability in mean for uncertain differential equation with jumps.
Appl. Math. Comput., 2019

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation.
IEEE Access, 2019

Receding Horizon Control-Based Stabilization of Discrete-Time Stochastic Systems With State Delay.
IEEE Access, 2019

American Barrier Option Pricing Formulas for Stock Model in Uncertain Environment.
IEEE Access, 2019

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Lightweight Neural Network Localization Algorithm for Structureless Wireless Sensor Networks.
Proceedings of the Wireless Sensor Networks - 13th China Conference, 2019

2018
ADFC-CH: adjusted disjoint finite cover rendezvous algorithms for cognitive radio networks.
Wirel. Networks, 2018

Convergence in Distribution for Uncertain Random Variables.
IEEE Trans. Fuzzy Syst., 2018

Complex uncertain random variables.
Soft Comput., 2018

基于情感倾向性分析的微博意见领袖识别模型 (Recognition Model of Microblog Opinion Leaders Based on Sentiment Orientation Analysis).
计算机科学, 2018

Some limit theorems on uncertain random sequences.
J. Intell. Fuzzy Syst., 2018

On the convergence of complex uncertain random sequences.
J. Intell. Fuzzy Syst., 2018

Partial triangular entropy of uncertain random variables and its application.
J. Ambient Intell. Humaniz. Comput., 2018

A personalized point-of-interest recommendation model via fusion of geo-social information.
Neurocomputing, 2018

STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation.
Neurocomputing, 2018

Elliptic entropy of uncertain set and its applications.
Int. J. Intell. Syst., 2018

Reversed hazard function of uncertain lifetime.
Fuzzy Optim. Decis. Mak., 2018

Geographical Proximity Boosted Recommendation Algorithms for Real Estate.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Memory and Time Efficient 3D Neuron Morphology Tracing in Large-Scale Images.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017
On stabilization of Itô stochastic time-varying systems.
J. Syst. Sci. Complex., 2017

Uncertain population model with age-structure.
J. Intell. Fuzzy Syst., 2017

Some concepts and properties of uncertain fields.
J. Intell. Fuzzy Syst., 2017

Partial entropy of uncertain random variables.
J. Intell. Fuzzy Syst., 2017

Stability in distribution for multifactor uncertain differential equation.
J. Ambient Intell. Humaniz. Comput., 2017

Order statistics of uncertain random variables with application to k-out-of-n system.
Fuzzy Optim. Decis. Mak., 2017

Receding horizon control for multiplicative noise stochastic systems with input delay.
Autom., 2017

Uncertain wave equation with infinite half-boundary.
Appl. Math. Comput., 2017

Stabilization for stochastic discrete-time systems with multiplicative noise and multiple input delay.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

2016
Importance index of components in uncertain random systems.
Knowl. Based Syst., 2016

Consumers' Decision: Fashion Omni-channel Retailing.
J. Inf. Hiding Multim. Signal Process., 2016

The stability of multifactor uncertain differential equation.
J. Intell. Fuzzy Syst., 2016

Law of large numbers for uncertain random variables with different chance distributions.
J. Intell. Fuzzy Syst., 2016

Milne method for solving uncertain differential equations.
Appl. Math. Comput., 2016

2015
基于抽象解释的服务间消息的数据约减 (Data Reduction Analysis for Message between Services Based on Abstract Interpretation).
计算机科学, 2015

2014
Biophysical Properties of Intrinsically Disordered p130Cas Substrate Domain - Implication in Mechanosensing.
PLoS Comput. Biol., 2014

Demos: A Distributed Model based on Autonomous, Intelligent Agents with Monitoring and Anticipatory Responses for Energy Management in Smart Cities.
Int. J. Monit. Surveillance Technol. Res., 2014

2010
Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization.
Proceedings of the Energy-Efficient Computing and Networking, 2010

2009
PEAKSEEK: A Statistical Processing Algorithm for Radiation Spectrum Peak Identification.
Proceedings of the ICTAI 2009, 2009

Engineering Solution to Nuclear Material Detection at Ports: Introducing the Novel iMASS Paradigm.
Proceedings of the ICTAI 2009, 2009

Expert System for Decision Making and Instructing Nuclear Resonance Fluorescence Cargo Interrogation.
Proceedings of the ICTAI 2009, 2009

Intelligent Order-Based Method for Synthesis of NRF Spectra and Detection of Hazardous Materials.
Proceedings of the ICTAI 2009, 2009

2008
Application of Real-Time Precise Point Positioning and GIS for Rail Track Deformation Monitoring of the Qinghai-Tibet Railway.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

2007
Hazardous Material Identification Using a Neurofuzzy Methodology.
Int. J. Artif. Intell. Tools, 2007

Pitch Synchronous Analysis Method and Fisher Criterion Based Speaker Identification.
Proceedings of the Third International Conference on Natural Computation, 2007

Implementing Virtual Buffer for Electric Power Grids.
Proceedings of the Computational Science, 2007

2006
The Application of Neural Networks to Electric Power Grid Simulation.
Proceedings of the Artificial Neural Networks, 2006

2005
Black Box Modeling of Passive Systems by Rational Function Approximation
PhD thesis, 2005

2003
Next-generation hearing prosthetics.
IEEE Robotics Autom. Mag., 2003

Interactive Learning of Computer Graphics Algorithms.
Proceedings of the 24th Annual Conference of the European Association for Computer Graphics, 2003

2001
Neural-wavelet Methodology for Load Forecasting.
J. Intell. Robotic Syst., 2001

A Novel Neural-Wavelet Diagnostics Approach: Application to Magnetic Flowmeter.
Int. J. Artif. Intell. Tools, 2001

2000
New Generation Intelligent Hearing Prosthetics.
Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering, 2000

1999
Neurofuzzy Approaches for Advanced Hearing Devices.
Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999


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