Chong Di

According to our database, Chong Di authored at least 30 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

HCT: image super-resolution restoration using hierarchical convolution transformer networks.

Ying Guo, Chang Tian, Han Wang, Jie Liu, Chong Di, Keqing Ning

Pattern Anal. Appl., June, 2025

Dmvae: a dual-stream multi-modal variational autoencoder for multi-task fake news detection.

Ying Guo, Shuting Hu, Yao Li, Chong Di, Jie Liu

Pattern Anal. Appl., June, 2025

Reinforcement Learning-Based Dynamic Grouping for Tubular Structure Tracking.

Chong Di, Shuwang Zhou, Da Chen, Jean-Marie Mirebeau, Minglei Shu, Laurent D. Cohen

CoRR, June, 2025

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

Ying Guo, Chang Tian, Jie Liu, Chong Di, Keqing Ning

Neurocomputing, 2025

2024

Enhancing Knowledge-Aware Recommendation with Dual-Graph Contrastive Learning.

Jinchao Huang, Zhipu Xie, Han Zhang, Bin Yang, Chong Di, Runhe Huang

Inf., September, 2024

Slippage Estimation via Few-Shot Learning Based on Wheel-Ruts Images for Wheeled Robots on Loose Soil.

Chao Chen, Shibin Su, Minglei Shu, Chong Di, Weihua Li, Pengyao Xu, Junlong Guo, Ruotong Wang, Yinglong Wang

IEEE Trans. Intell. Transp. Syst., July, 2024

PromptLA: Towards Integrity Verification of Black-box Text-to-Image Diffusion Models.

Zhuomeng Zhang, Fangqi Li, Chong Di, Shilin Wang

CoRR, 2024

2023

Learning automata-accelerated greedy algorithms for stochastic submodular maximization.

Chong Di, Fangqi Li, Pengyao Xu, Ying Guo, Chao Chen, Minglei Shu

Knowl. Based Syst., December, 2023

Constant Force-Tracking Control Based on Deep Reinforcement Learning in Dynamic Auscultation Environment.

Tieyi Zhang, Chao Chen, Minglei Shu, Ruotong Wang, Chong Di, Gang Li

Sensors, February, 2023

An Auxiliary Modality Based Text-Image Matching Methodology for Fake News Detection.

Ying Guo, Bingxin Li, Hong Ge, Chong Di

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.

Ying Guo, Chong Di, Shenghong Li

Neural Comput. Appl., 2022

2021

An Efficient Parameter-Free Learning Automaton Scheme.

Chong Di, Qilian Liang, Fangqi Li, Shenghong Li, Fucai Luo

IEEE Trans. Neural Networks Learn. Syst., 2021

Bayesian inference based learning automaton scheme in Q-model environments.

Chong Di, Fangqi Li, Shenghong Li, Jianwei Tian

Appl. Intell., 2021

2020

Sensor Deployment for Wireless Sensor Networks: A Conjugate Learning Automata-Based Energy-Efficient Approach.

Chong Di, Fangqi Li, Shenghong Li

IEEE Wirel. Commun., 2020

Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata.

Fangqi Li, Chong Di, Shenghong Li

CoRR, 2020

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

Fangqi Li, Chong Di, Wenwen Xia

CoRR, 2020

2019

Learning Automata-Based Access Class Barring Scheme for Massive Random Access in Machine-to-Machine Communications.

Chong Di, Bo Zhang, Qilian Liang, Shenghong Li, Ying Guo

IEEE Internet Things J., 2019

Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks.

Wenwen Xia, Chong Di, Haonan Guo, Shenghong Li

IEEE Access, 2019

A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach.

Chong Di, Shenghong Li, Fangqi Li, Kaiyue Qi

IEEE Access, 2019

Maximizing Influence on Social Networks with Conjugate Learning Automata.

Chong Di, Fangqi Li, Kaiyue Qi, Shenghong Li

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Weight-Assignment Last-Position Elimination-Based Learning Automata.

Haiwei An, Chong Di, Shenghong Li

Proceedings of the Communications, Signal Processing, and Systems, 2019

2018

Learning automata based SVM for intrusion detection.

Chong Di

CoRR, 2018

Learning Automata Based Feature Selection for Network Traffic Intrusion Detection.

Yu Su, Kaiyue Qi, Chong Di, Yinghua Ma, Shenghong Li

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.

Hua Ding, Chong Di, Shenghong Li

Proceedings of the Communications, Signal Processing, and Systems, 2018

A Double Competitive Strategy-Based Learning Automata Algorithm.

Chong Di, Mingda Guo, Jinchao Huang, Shenghong Li

Proceedings of the Communications, Signal Processing, and Systems, 2018

2017

A double competitive strategy based learning automata algorithm.

Chong Di

CoRR, 2017

An Adaptive Honeypot Deployment Algorithm Based on Learning Automata.

Yan Zhang, Chong Di, Zhuoran Han, Yichen Li, Shenghong Li

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Learning Automata Based Approach for Influence Maximization Problem on Social Networks.

Hao Ge, Jinchao Huang, Chong Di, Jianhua Li, Shenghong Li

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Learning Automata Based SVM for Intrusion Detection.

Chong Di, Yu Su, Zhuoran Han, Shenghong Li

Proceedings of the Communications, Signal Processing, and Systems, 2017

2016

Convolutional Neural Network Based on Principal Component Analysis Initialization for Image Classification.

Xu-Die Ren, Hao-Nan Guo, Guan-Chen He, Xu Xu, Chong Di, Sheng-Hong Li

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016