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 001; Sheng-Hong Li 001 (DSC, 2016)

Learning Automata Based SVM for Intrusion Detection. - Chong Di 001; Yu Su; Zhuoran Han; Shenghong Li 001 (CSPS, 2017)

Learning Automata Based Approach for Influence Maximization Problem on Social Networks. - Hao Ge; Jinchao Huang 001; Chong Di 001; Jianhua Li 001; Shenghong Li 001 (DSC, 2017)

An Adaptive Honeypot Deployment Algorithm Based on Learning Automata. - Yan Zhang; Chong Di 001; Zhuoran Han; Yichen Li; Shenghong Li 001 (DSC, 2017)

A double competitive strategy based learning automata algorithm. - Chong Di 001 (CoRR, 2017)

A Double Competitive Strategy-Based Learning Automata Algorithm. - Chong Di 001; Mingda Guo; Jinchao Huang 001; Shenghong Li 001 (CSPS (3), 2018)

Bayesian Method-Based Learning Automata for Two-Player Stochastic Games with Incomplete Information. - Hua Ding; Chong Di 001; Shenghong Li 001 (CSPS (3), 2018)

Learning Automata Based Feature Selection for Network Traffic Intrusion Detection. - Yu Su; Kaiyue Qi; Chong Di 001; Yinghua Ma; Shenghong Li 001 (DSC, 2018)

Learning automata based SVM for intrusion detection. - Chong Di 001 (CoRR, 2018)

Weight-Assignment Last-Position Elimination-Based Learning Automata. - Haiwei An; Chong Di 001; Shenghong Li 001 (CSPS, 2019)

Maximizing Influence on Social Networks with Conjugate Learning Automata. - Chong Di 001; Fangqi Li 001; Kaiyue Qi; Shenghong Li 001 (GLOBECOM, 2019)

A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach. - Chong Di 001; Shenghong Li 001; Fangqi Li 001; Kaiyue Qi (IEEE Access, 2019)

Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks. - Wenwen Xia; Chong Di 001; Haonan Guo; Shenghong Li 001 (IEEE Access, 2019)

Learning Automata-Based Access Class Barring Scheme for Massive Random Access in Machine-to-Machine Communications. - Chong Di 001; Bo Zhang 063; Qilian Liang; Shenghong Li 001; Ying Guo 004 (IEEE Internet Things J., 2019)

On the Submodularity of Diffusion Models: Equivalent Conditions and Applications. - Fangqi Li 001; Chong Di 001; Wenwen Xia (CoRR, 2020)

Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata. - Fangqi Li 001; Chong Di 001; Shenghong Li 001 (CoRR, 2020)

Sensor Deployment for Wireless Sensor Networks: A Conjugate Learning Automata-Based Energy-Efficient Approach. - Chong Di 001; Fangqi Li 001; Shenghong Li 001 (IEEE Wirel. Commun., 2020)

Bayesian inference based learning automaton scheme in Q-model environments. - Chong Di 001; Fangqi Li 001; Shenghong Li 001; Jianwei Tian (Appl. Intell., 2021)

An Efficient Parameter-Free Learning Automaton Scheme. - Chong Di 001; Qilian Liang; Fangqi Li 001; Shenghong Li 001; Fucai Luo (IEEE Trans. Neural Networks Learn. Syst., 2021)

A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment. - Ying Guo 004; Chong Di 001; Shenghong Li 001 (Neural Comput. Appl., 2022)

An Auxiliary Modality Based Text-Image Matching Methodology for Fake News Detection. - Ying Guo 004; Bingxin Li; Hong Ge; Chong Di 001 (ICANN (2), 2023)

Constant Force-Tracking Control Based on Deep Reinforcement Learning in Dynamic Auscultation Environment. - Tieyi Zhang; Chao Chen 009; Minglei Shu; Ruotong Wang 007; Chong Di 001; Gang Li 037 (Sensors, 2023)

Learning automata-accelerated greedy algorithms for stochastic submodular maximization. - Chong Di 001; Fangqi Li 001; Pengyao Xu; Ying Guo 004; Chao Chen 009; Minglei Shu (Knowl. Based Syst., 2023)

PromptLA: Towards Integrity Verification of Black-box Text-to-Image Diffusion Models. - Zhuomeng Zhang; Fangqi Li 001; Chong Di 001; Shilin Wang (CoRR, 2024)

Slippage Estimation via Few-Shot Learning Based on Wheel-Ruts Images for Wheeled Robots on Loose Soil. - Chao Chen 009; Shibin Su; Minglei Shu; Chong Di 001; Weihua Li 008; Pengyao Xu; Junlong Guo; Ruotong Wang 003; Yinglong Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Enhancing Knowledge-Aware Recommendation with Dual-Graph Contrastive Learning. - Jinchao Huang 001; Zhipu Xie; Han Zhang; Bin Yang 038; Chong Di 001; Runhe Huang (Inf., 2024)

HADT: Image super-resolution restoration using Hybrid Attention-Dense Connected Transformer Networks. - Ying Guo 004; Chang Tian; Jie Liu 022; Chong Di 001; Keqing Ning (Neurocomputing, 2025)

Reinforcement Learning-Based Dynamic Grouping for Tubular Structure Tracking. - Chong Di 001; Shuwang Zhou; Da Chen 002; Jean-Marie Mirebeau; Minglei Shu; Laurent D. Cohen (CoRR, 2025)

Dmvae: a dual-stream multi-modal variational autoencoder for multi-task fake news detection. - Ying Guo 004; Shuting Hu; Yao Li; Chong Di 001; Jie Liu 022 (Pattern Anal. Appl., 2025)

HCT: image super-resolution restoration using hierarchical convolution transformer networks. - Ying Guo 004; Chang Tian; Han Wang; Jie Liu 022; Chong Di 001; Keqing Ning (Pattern Anal. Appl., 2025)