Published in Advances in Trustworthy and Robust Artificial Intelligence, 2025
This paper we propose TCDA-NE, a novel TCD algorithm that combines evolutionary clustering with convex non-negative matrix factorization (Convex-NMF)
Published in IEEE Network ( Early Access ), 2025
This paper proposes propose DomFuzz, a dominator-based directed grey-box fuzzing method that enables precise vulnerability distance calculations for critical infrastructure components.
Published in Scientific Reports, 2025
This paper proposes the SDES-YOLO model, an enhancement of YOLOv8, for high-precision fall detection in complex environments.
Published in Computers and Electronics in Agriculture, 2022
This paper proposes LDS-YOLO, a lightweight small object detection method designed for detecting dead trees in shelter forests.
Published in Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, 2024
This paper proposes a self-supervised deep nonnegative matrix factorization model for recommendation, integrating deep latent features from network structure.
Published in Collaborative Computing: Networking, Applications and Worksharing: 17th EAI International Conference, CollaborateCom 2021, 2022
This paper presents a multi-view representation learning approach with deep features for offline signature verification.
Published in International Conference on Collaborative Computing: Networking, Applications and Worksharing, 2022
This paper presents DCNMF, a dynamic community discovery method using an improved Convex-NMF approach in temporal networks.
Published in 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021
This paper presents a temporal smoothness framework to analyze and explore the evolutionary transition behavior in dynamic networks.
Published in International Conference on Collaborative Computing: Networking, Applications and Worksharing, 2018
This paper proposes an efficient critical incident propagation model for social networks, incorporating trust factors.
Published in 2017 International Conference on Mathematics, Modelling and Simulation Technologies and Applications, 2018
This paper presents a community detection method in temporal networks using triple nonnegative matrix factorization (Triple-NMF).
Published in 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017
This paper presents a method for tracking and detecting dynamic communities in networks while preserving node popularity.
Published in 2017 International Conference on Computing Intelligence and Information System (CIIS), 2017
This paper proposes a dynamic community detection method using nonnegative matrix factorization (NMF).