| Learning automata-based access class barring scheme for massive random access in machine-to-machine communications C Di, B Zhang, Q Liang, S Li, Y Guo IEEE Internet of Things Journal 6 (4), 6007-6017, 2018 | 65 | 2018 |
| Reinforcement learning based stochastic shortest path finding in wireless sensor networks W Xia, C Di, H Guo, S Li Ieee Access 7, 157807-157817, 2019 | 45 | 2019 |
| Convolutional neural network based on principal component analysis initialization for image classification XD Ren, HN Guo, GC He, X Xu, C Di, SH Li 2016 IEEE first international conference on data science in cyberspace (DSC …, 2016 | 31 | 2016 |
| Learning automata based feature selection for network traffic intrusion detection Y Su, K Qi, C Di, Y Ma, S Li 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC …, 2018 | 28 | 2018 |
| Learning automata based approach for influence maximization problem on social networks H Ge, J Huang, C Di, J Li, S Li 2017 IEEE Second International Conference on Data Science in Cyberspace (DSC …, 2017 | 19 | 2017 |
| Sensor deployment for wireless sensor networks: A conjugate learning automata-based energy-efficient approach C Di, F Li, S Li IEEE Wireless Communications 27 (5), 80-87, 2020 | 15 | 2020 |
| Learning automata based SVM for intrusion detection C Di, Y Su, Z Han, S Li Communications, Signal Processing, and Systems: Proceedings of the 2017 …, 2019 | 13 | 2019 |
| An adaptive honeypot deployment algorithm based on learning automata Y Zhang, C Di, Z Han, Y Li, S Li 2017 IEEE Second International Conference on Data Science in Cyberspace (DSC …, 2017 | 10 | 2017 |
| Exploring behavior patterns for next-poi recommendation via graph self-supervised learning D Wang, C Chen, C Di, M Shu Electronics 12 (8), 1939, 2023 | 6 | 2023 |
| An efficient parameter-free learning automaton scheme C Di, Q Liang, F Li, S Li, F Luo IEEE Transactions on Neural Networks and Learning Systems 32 (11), 4849-4863, 2020 | 6 | 2020 |
| A novel framework for learning automata: a statistical hypothesis testing approach C Di, S Li, F Li, K Qi IEEE Access 7, 27911-27922, 2019 | 5 | 2019 |
| Face recognition based on local Gabor binary patterns and convolutional neural network X Ren, H Guo, C Di, Z Han, S Li Communications, Signal Processing, and Systems: Proceedings of the 2016 …, 2018 | 5 | 2018 |
| Maximizing influence on social networks with conjugate learning automata C Di, F Li, K Qi, S Li 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 4 | 2019 |
| Slippage Estimation via Few-Shot Learning Based on Wheel-Ruts Images for Wheeled Robots on Loose Soil C Chen, S Su, M Shu, C Di, W Li, P Xu, J Guo, R Wang, Y Wang IEEE Transactions on Intelligent Transportation Systems, 2024 | 2 | 2024 |
| A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment Y Guo, C Di, S Li Neural Computing and Applications 34 (9), 6811-6824, 2022 | 2 | 2022 |
| Bayesian inference based learning automaton scheme in Q-model environments C Di, F Li, S Li, J Tian Applied Intelligence 51, 7453-7468, 2021 | 2 | 2021 |
| Learning automata-accelerated greedy algorithms for stochastic submodular maximization C Di, F Li, P Xu, Y Guo, C Chen, M Shu Knowledge-Based Systems 282, 111118, 2023 | 1 | 2023 |
| Constant Force-Tracking Control Based on Deep Reinforcement Learning in Dynamic Auscultation Environment T Zhang, C Chen, M Shu, R Wang, C Di, G Li Sensors 23 (4), 2186, 2023 | 1 | 2023 |
| Bayesian method-based learning automata for two-player stochastic games with incomplete information H Ding, C Di, L Shenghong Communications, Signal Processing, and Systems: Proceedings of the 2018 CSPS …, 2020 | 1 | 2020 |
| On the submodularity of diffusion models: Equivalent conditions and applications F Li, C Di, W Xia arXiv preprint arXiv:2002.00845, 2019 | 1 | 2019 |
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