46 Result(s)
within
Hao Shen
Computer Science
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Article
ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning
Software vulnerability detection is a critical step in ensuring system security and data protection. Recent research has demonstrated the effectiveness of deep learning in automated vulnerability detection. Ho...
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Article
HMM-based finite-time synchronization of fuzzy jum** neural networks with input constraints and partial information
This paper investigates the hidden Markov model-based finite-time synchronization problem for discrete-time fuzzy jum** neural networks with input constraints. To cope with the fact that obtaining system mod...
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Article
Dynamic Event-Triggered Passive Synchronization for Mode-Dependent Persistent Dwell-Time Switched Neural Networks Subject to DoS Attacks
The synchronization control problem of discrete-time switched neural networks is considered in this paper. Wherein, the switchings among subsystems are described by the mode-dependent persistent dwell-time swi...
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Article
\(H_{\infty }\) Secure Consensus of Two-Time-Scale Markov Jump Multi-agent Systems with Partially Unknown Transition Rates Against Hybrid Cyber-Attacks
This paper addresses the secure consensus control problem for a class of continuous-time two-time-scale Markov jump multi-agent systems under hybrid cyber-attacks, which suffers from both the denial-of-service...
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Article
Extended Dissipative Synchronization of Reaction–Diffusion Genetic Regulatory Networks Based on Sampled-data Control
This work focuses on the extended dissipative synchronization control issue for reaction-diffusion genetic regulatory networks. The purpose of this paper is to design the sampled-data controllers that can meet...
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Article
Combining modified inverted generational distance indicator with reference-vector-guided selection for many-objective optimization
The modified inverted generational distance (IGD+) indicator has been widely used to handle optimization problems with two or three objectives due to its ability to obtain weak Pareto optimal solutions. However, ...
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Chapter and Conference Paper
Human Factors Based New Media Design: Methodology and Assessment
Thanks to the advances in medium technology, recent media products are presented in a new form. The participation of audience becomes an important part of new media product. Therefore, the information input an...
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Chapter and Conference Paper
Cross Attention with Deep Local Features for Few-Shot Image Classification
Traditional few-shot learning methods that rely on image-level features have been widely adopted, but they may not be effective in representing the local information of images. Recently, some methods have intr...
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Chapter and Conference Paper
Aggregate Distillation for Top-K Recommender System
As knowledge distillation techniques have gained prominence in recommender systems (RS), they have proven instrumental in maintaining exceptional recommendation performance while simultaneously reducing model ...
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Article
Adaptive event-trigger-based sampled-data stabilization of complex-valued neural networks: a real and complex LMI approach
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Article
Observer-based l2−l∞ control for singularly perturbed semi-Markov jump systems with an improved weighted TOD protocol
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Article
A real-time siamese tracker deployed on UAVs
Visual object tracking is an essential enabler for the automation of UAVs. Recently, Siamese network based trackers have achieved excellent performance on offline benchmarks. The Siamese network based trackers...
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Article
Robust interval stability/stabilization and H∞ feedback control for uncertain stochastic Markovian jump systems based on the linear operator
This paper focuses on the problem of robust H∞ state feedback control with interval pole constraints for uncertain stochastic Markovian jump systems (MJSs). First, we present the sufficient conditions of robust i...
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Chapter and Conference Paper
Joint Extraction of Entities and Relations in the News Domain
Extracting entities and relationships between entities from news text information is the core task of building news knowledge graphs. In recent years, with the rise of knowledge graphs, the joint extraction of...
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Chapter and Conference Paper
The Head and Neck Tumor Segmentation in PET/CT Based on Multi-channel Attention Network
Automatic segmentation of head and neck (H&N) tumors plays an important and challenging role in clinical practice and radiomics researchers. In this paper, we developed an automated tumor segmentation method b...
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Article
DcaNAS: efficient convolutional network Design for Desktop CPU platforms
The hardware platform is a significant consideration in efficient CNN model design. Most lightweight networks are based on GPUs and mobile devices. However, they are usually not efficient nor fast enough for d...
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Article
Performance evaluation of low resolution visual tracking for unmanned aerial vehicles
Several datasets for unmanned aerial vehicle (UAV) visual tracking research have been released in recent years. Despite their usefulness, whether they are sufficient for understanding the strengths and weaknes...
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Article
pth moment \({\cal D}\) -stability/stabilization of linear discrete-time stochastic systems
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Article
Anti-distractors: two-branch siamese tracker with both static and dynamic filters for object tracking
Visual Object Tracking is a very challenging task because of the large appearance variance caused by illumination, deformation, and motion. Siamese network-based trackers, which select target through a matchin...
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Article
Asynchronous \(l_{2}\) – \(l_{\infty }\) Filtering for Discrete-Time Fuzzy Markov Jump Neural Networks with Unreliable Communication Links
This paper investigates the problem of \(l_{2}\) l 2 – \(l_{\infty }\) l ∞ asynchronous filtering for a class of discrete-time fuzzy neural networks subject to Markov jump parameters and unreliable comm...
