Guoyan Huang
Orcid: 0000-0003-0655-4947
According to our database1,
Guoyan Huang
authored at least 23 papers
between 2016 and 2025.
Collaborative distances:
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Bibliography
2025
RTIA-Mono: Real-time lightweight self-supervised monocular depth estimation with global-local information aggregation.
Digit. Signal Process., 2025
2024
LDA-Mono: A lightweight dual aggregation network for self-supervised monocular depth estimation.
Knowl. Based Syst., 2024
2023
Distributed Kalman filter for multi-agent tracking with Markov intermittent observation.
Proceedings of the International Conference on Robotics, Control and Vision Engineering, 2023
2022
Efficiency and Effectiveness of Web Application Vulnerability Detection Approaches: A Review.
ACM Comput. Surv., 2022
2021
A feature dimension reduction technology for predicting DDoS intrusion behavior in multimedia internet of things.
Multim. Tools Appl., 2021
Int. J. Distributed Sens. Networks, 2021
2020
Application of artificial fish swarm optimization semi-supervised kernel fuzzy clustering algorithm in network intrusion.
J. Intell. Fuzzy Syst., 2020
Software Crucial Functions Ranking and Detection in Dynamic Execution Sequence Patterns.
Int. J. Softw. Eng. Knowl. Eng., 2020
Mining Key Stations by Constructing the Air Quality Spatial-Temporal Propagation Network.
IEEE Access, 2020
2019
Mining the Key Nodes from Software Network Based on Fault Accumulation and Propagation.
Secur. Commun. Networks, 2019
BMC Bioinform., 2019
IEEE Access, 2019
IEEE Access, 2019
Modeling Air Pollution Transmission Behavior as Complex Network and Mining Key Monitoring Station.
IEEE Access, 2019
Automatic Classification Method for Software Vulnerability Based on Deep Neural Network.
IEEE Access, 2019
Mining important nodes in complex software network based on ripple effects of probability.
Proceedings of the ACM Turing Celebration Conference - China, 2019
2018
Secur. Commun. Networks, 2018
IEEE Access, 2018
2017
IET Softw., 2017
2016
Proceedings of the Inclusive Smart Cities and Digital Health, 2016
Features Extraction Based on Neural Network for Cross-Domain Sentiment Classification.
Proceedings of the Database Systems for Advanced Applications, 2016