Ying Guo

20 papers Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Consistency-Heterogenity Balanced Fake News Detection via Cross-Modal Matching.
IEEE Trans. Artif. Intell.
Ying Guo, Bingxin Li, Kexin Zhen, Jie Liu, Gaolei Li, Qi Wang, Yong-Jin Liu
2025 J jnl
Dmvae: a dual-stream multi-modal variational autoencoder for multi-task fake news detection.
Pattern Anal. Appl.
Ying Guo, Shuting Hu, Yao Li, Chong Di, Jie Liu
2025 J jnl
HADT: Image super-resolution restoration using Hybrid Attention-Dense Connected Transformer Networks.
Neurocomputing
Ying Guo, Chang Tian, Jie Liu, Chong Di, Keqing Ning
2025 J jnl
HCT: image super-resolution restoration using hierarchical convolution transformer networks.
Pattern Anal. Appl.
Ying Guo, Chang Tian, Han Wang, Jie Liu, Chong Di, Keqing Ning
2024 J jnl
BenchMFC: A benchmark dataset for trustworthy malware family classification under concept drift.
Comput. Secur.
Yongkang Jiang, Gaolei Li, Shenghong Li, Ying Guo
2024 J jnl
Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference.
IEEE Trans. Netw. Serv. Manag.
Yongkang Jiang, Gaolei Li, Shenghong Li, Ying Guo, Kai Zhou
2023 — conf
An Auxiliary Modality Based Text-Image Matching Methodology for Fake News Detection.
ICANN (2)
Ying Guo, Bingxin Li, Hong Ge, Chong Di
2023 J jnl
Learning automata-accelerated greedy algorithms for stochastic submodular maximization.
Knowl. Based Syst.
Chong Di, Fangqi Li, Pengyao Xu, Ying Guo, Chao Chen, Minglei Shu
2022 J jnl
A multi-Markovian switching-based strategy for solving the stochastic point location problem.
Neural Comput. Appl.
Ying Guo, Shenghong Li
2022 J jnl
A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment.
Neural Comput. Appl.
Ying Guo, Chong Di, Shenghong Li
2020 J jnl
Learning Automata Based Competition Scheme to Train Deep Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Haonan Guo, Shenghong Li, Kaiyue Qi, Ying Guo, Zhengwu Xu
2019 J jnl
A Non-Monte-Carlo Parameter-Free Learning Automata Scheme Based on Two Categories of Statistics.
IEEE Trans. Cybern.
Ying Guo, Shenghong Li
2019 J jnl
Learning Automata-Based Access Class Barring Scheme for Massive Random Access in Machine-to-Machine Communications.
IEEE Internet Things J.
Chong Di, Bo Zhang, Qilian Liang, Shenghong Li, Ying Guo
2017 J jnl
A loss function based parameterless learning automaton scheme.
Neurocomputing
Ying Guo, Hao Ge, Shenghong Li
2017 J jnl
A set of novel continuous action-set reinforcement learning automata models to optimize continuous functions.
Appl. Intell.
Ying Guo, Hao Ge, Shenghong Li
2017 J jnl
Learning automata-based algorithms for solving the stochastic shortest path routing problems in 5G wireless communication.
Phys. Commun.
Ying Guo, Shenghong Li, Wen Jiang, Bo Zhang, Yinghua Ma
2016 — conf
A General Strategy for Solving the Stochastic Point Location Problem by Utilizing the Correlation of Three Adjacent Nodes.
DSC
Ying Guo, Hao Ge, Jinchao Huang, Shenghong Li
2016 — conf
A New Scheme Based on HSSL for Solving the Stochastic Point Location Problem.
DSC
Jinchao Huang, Yan Yan, Ying Guo, Shenghong Li
2016 J jnl
A cooperative framework of learning automata and its application in tutorial-like system.
Neurocomputing
Hao Ge, Yifan Wang, Shenghong Li, Chun-Lung Philip Chen, Ying Guo
2016 — conf
Gaussian Iteration: A Novel Way to Collaborative Filtering.
ICIC (3)
Xiaochun Li, Fangqi Li, Ying Guo, Jinchao Huang