Chong Di

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

2025
HADT: Image super-resolution restoration using Hybrid Attention-Dense Connected Transformer Networks.
Neurocomputing, 2025

2024
Enhancing Knowledge-Aware Recommendation with Dual-Graph Contrastive Learning.
Inf., September, 2024

Slippage Estimation via Few-Shot Learning Based on Wheel-Ruts Images for Wheeled Robots on Loose Soil.
IEEE Trans. Intell. Transp. Syst., July, 2024

A FEA-Based Fast AC Steady-State Algorithm for a Voltage-Driven PMSM by a Novel Voltage-Flux-Driven Model.
IEEE Trans. Ind. Electron., April, 2024

2023
Learning automata-accelerated greedy algorithms for stochastic submodular maximization.
Knowl. Based Syst., December, 2023

Constant Force-Tracking Control Based on Deep Reinforcement Learning in Dynamic Auscultation Environment.
Sensors, February, 2023

An Auxiliary Modality Based Text-Image Matching Methodology for Fake News Detection.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment.
Neural Comput. Appl., 2022

2021
An Efficient Parameter-Free Learning Automaton Scheme.
IEEE Trans. Neural Networks Learn. Syst., 2021

Bayesian inference based learning automaton scheme in Q-model environments.
Appl. Intell., 2021

Postural Balance of Kneeling Gaits on Inclined and Elevated Surface for Construction Workers.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
Sensor Deployment for Wireless Sensor Networks: A Conjugate Learning Automata-Based Energy-Efficient Approach.
IEEE Wirel. Commun., 2020

Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata.
CoRR, 2020

On the Submodularity of Diffusion Models: Equivalent Conditions and Applications.
CoRR, 2020

Fault-Tolerant Modular Stator Concentrated Winding Permanent Magnet Machine.
IEEE Access, 2020

2019
Learning Automata-Based Access Class Barring Scheme for Massive Random Access in Machine-to-Machine Communications.
IEEE Internet Things J., 2019

Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks.
IEEE Access, 2019

Accelerating the Time-Stepping Finite-Element Analysis of Induction Machines in Transient-Magnetic Solutions.
IEEE Access, 2019

Design of a High-Speed Solid-Rotor Induction Machine With an Asymmetric Winding and Suppression of the Current Unbalance by Special Coil Arrangements.
IEEE Access, 2019

Extraction of Rotor Eddy-Current Harmonic Losses in High-Speed Solid-Rotor Induction Machines by an Improved Virtual Permanent Magnet Harmonic Machine Model.
IEEE Access, 2019

A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach.
IEEE Access, 2019

Solid-Rotor Material Selection for Squirrel-Cage High-Speed Solid-Rotor Induction Machine.
Proceedings of the IECON 2019, 2019

Maximizing Influence on Social Networks with Conjugate Learning Automata.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Weight-Assignment Last-Position Elimination-Based Learning Automata.
Proceedings of the Communications, Signal Processing, and Systems, 2019

2018
Learning automata based SVM for intrusion detection.
CoRR, 2018

Learning Automata Based Feature Selection for Network Traffic Intrusion Detection.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Bayesian Method-Based Learning Automata for Two-Player Stochastic Games with Incomplete Information.
Proceedings of the Communications, Signal Processing, and Systems, 2018

A Double Competitive Strategy-Based Learning Automata Algorithm.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
A double competitive strategy based learning automata algorithm.
CoRR, 2017

An Adaptive Honeypot Deployment Algorithm Based on Learning Automata.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Learning Automata Based Approach for Influence Maximization Problem on Social Networks.
Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Learning Automata Based SVM for Intrusion Detection.
Proceedings of the Communications, Signal Processing, and Systems, 2017

2016
Convolutional Neural Network Based on Principal Component Analysis Initialization for Image Classification.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016


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