Jiale Zhang

Orcid: 0000-0002-2143-5666

According to our database1, Jiale Zhang authored at least 79 papers between 2018 and 2024.

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Bibliography

2024
Fine-grained smart contract vulnerability detection by heterogeneous code feature learning and automated dataset construction.
J. Syst. Softw., March, 2024

CooCo: A Collaborative Offloading and Resource Configuration Algorithm in Edge Networks.
IEEE Internet Things J., March, 2024

An Online Fairness-Aware Task Planning Approach for Spatial Crowdsourcing.
IEEE Trans. Mob. Comput., January, 2024

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research.
CoRR, 2024

Enhancing Network Intrusion Detection Through the Application of the Dung Beetle Optimized Fusion Model.
IEEE Access, 2024

An Enhanced Topic Modeling Method in Educational Domain by Integrating LDA with Semantic.
Proceedings of the 26th International Conference on Advanced Communications Technology, 2024

2023
Optimization of robust formation tracking control for traffic cone robots with matching and mismatching uncertainties: A fuzzy-set theory-based approach.
Expert Syst. Appl., October, 2023

ADFL: Defending backdoor attacks in federated learning via adversarial distillation.
Comput. Secur., September, 2023

An intrusion detection system based on stacked ensemble learning for IoT network.
Comput. Electr. Eng., September, 2023

Multi-level membership inference attacks in federated Learning based on active GAN.
Neural Comput. Appl., August, 2023

LAFED: A lightweight authentication mechanism for blockchain-enabled federated learning system.
Future Gener. Comput. Syst., August, 2023

VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems.
Digit. Commun. Networks, August, 2023

Pixel attention convolutional network for image super-resolution.
Neural Comput. Appl., April, 2023

YOLO-LWNet: A Lightweight Road Damage Object Detection Network for Mobile Terminal Devices.
Sensors, March, 2023

<i>ASSBert</i>: Active and semi-supervised bert for smart contract vulnerability detection.
J. Inf. Secur. Appl., March, 2023

Large motion anime head animation using a cascade pose transform network.
Pattern Recognit., 2023

Combine sliced joint graph with graph neural networks for smart contract vulnerability detection.
J. Syst. Softw., 2023

Xformer: Hybrid X-Shaped Transformer for Image Denoising.
CoRR, 2023

A Self-Organized Mapping Neural Network-Based Intelligent Evaluation Model for Business Capacity in Enterprise Management.
IEEE Access, 2023

Extended Abstract of Combine Sliced Joint Graph with Graph Neural Networks for Smart Contract Vulnerability Detection.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Progressive Frequency-Aware Network for Laparoscopic Image Desmoking.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Poster Abstract: Vibration-Based Object Classification with Structural Response of Ambient Music.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

Demo Abstract: FreePulse Heart Rate Monitoring System using Ambient Structural Vibrations.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

Accurate Image Restoration with Attention Retractable Transformer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Label-Only Membership Inference Attack Against Federated Distillation.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Lightweight backbone network for road object detection.
Proceedings of the 7th International Conference on Computer Science and Application Engineering, 2023

Algorithms for Shortest Path Tour Problem in Large-Scale Road Network.
Proceedings of the Computing and Combinatorics - 29th International Conference, 2023

Multi-Candidate Carpooling Routing Problem and Its Approximation Algorithms.
Proceedings of the Combinatorial Optimization and Applications, 2023

Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
RobustFL: Robust Federated Learning Against Poisoning Attacks in Industrial IoT Systems.
IEEE Trans. Ind. Informatics, 2022

SPVF: security property assisted vulnerability fixing via attention-based models.
Empir. Softw. Eng., 2022

Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks.
Concurr. Comput. Pract. Exp., 2022

Cyber situation perception for Internet of Things systems based on zero-day attack activities recognition within advanced persistent threat.
Concurr. Comput. Pract. Exp., 2022

Towards fully BIM-enabled building automation and robotics: A perspective of lifecycle information flow.
Comput. Ind., 2022

An Improved BP Neural Network Based on Adaptive Genetic Algorithm.
Proceedings of the Mobile Networks and Management - 12th EAI International Conference, 2022

Maximum Profit Routing for Mobile Crowdsensing.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Based on adaptive improved genetic algorithm of optimal path planning.
Proceedings of the ICMIP 2022: 7th International Conference on Multimedia and Image Processing, Tianjin, China, January 14, 2022

Application of hybrid PSO-GA algorithm in optimization of high-dimensional complex functions.
Proceedings of the ICMIP 2022: 7th International Conference on Multimedia and Image Processing, Tianjin, China, January 14, 2022

Hyprogan: Breaking the Dimensional wall From Human to Anime.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

HBMD-FL: Heterogeneous Federated Learning Algorithm Based on Blockchain and Model Distillation.
Proceedings of the Emerging Information Security and Applications, 2022

TROP: Task Ranking Optimization Problem on Crowdsourcing Service Platform.
Proceedings of the Database Systems for Advanced Applications, 2022

Edge-based Protection Against Malicious Poisoning for Distributed Federated Learning.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

FD-Leaks: Membership Inference Attacks Against Federated Distillation Learning.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Vulnerability Detection for Smart Contract via Backward Bayesian Active Learning.
Proceedings of the Applied Cryptography and Network Security Workshops, 2022

Multiple-Granularity Graph for Document-Level Relation Extraction.
Proceedings of the Web Information Systems and Applications, 2022

Multi-granularity Chinese Text Matching Model Combined with Bidirectional Attention.
Proceedings of the Web Information Systems and Applications, 2022

2021
Proof of Engagement: A Flexible Blockchain Consensus Mechanism.
Wirel. Commun. Mob. Comput., 2021

Predicting the APT for Cyber Situation Comprehension in 5G-Enabled IoT Scenarios Based on Differentially Private Federated Learning.
Secur. Commun. Networks, 2021

PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems.
IEEE Internet Things J., 2021

OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems.
Connect. Sci., 2021

Defending against Membership Inference Attacks in Federated learning via Adversarial Example.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Mahalanobis Distance-based Adjustable Classifier Models for Diagnosing Heart Diseases.
Proceedings of the 15th International Symposium on Medical Information and Communication Technology, 2021

MatTrip: Multi-functional Attention-based Neural Network for Semantic Travel Route Recommendation.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021


Directly Controlling the Perceived Difficulty of a Shooting Game by the Addition of Fake Enemy Bullets.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
FedMEC: Improving Efficiency of Differentially Private Federated Learning via Mobile Edge Computing.
Mob. Networks Appl., 2020

LVPDA: A Lightweight and Verifiable Privacy-Preserving Data Aggregation Scheme for Edge-Enabled IoT.
IEEE Internet Things J., 2020

Preconditioned gridless methods for solving three-dimensional Euler equations at low Mach numbers.
Int. J. Model. Simul. Sci. Comput., 2020

Detecting Advanced Persistent Threat in Edge Computing via Federated Learning.
Proceedings of the Security and Privacy in Digital Economy, 2020

Predicting Advanced Persistent Threats for IoT Systems Based on Federated Learning.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2020

Time Efficient Federated Learning with Semi-asynchronous Communication.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Stereo Matching Using Discriminative Feature-Oriented and Gradient-Constrained Dictionary Learning.
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020

Beyond Model-Level Membership Privacy Leakage: an Adversarial Approach in Federated Learning.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

GAN Enhanced Membership Inference: A Passive Local Attack in Federated Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Dynamic Sample Selection for Federated Learning with Heterogeneous Data in Fog Computing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Defending Poisoning Attacks in Federated Learning via Adversarial Training Method.
Proceedings of the Frontiers in Cyber Security - Third International Conference, 2020

Ternary Optical Computer Task Dispatch Model Based on Priority Queuing System.
Proceedings of the 2020 International Conference on Applications and Techniques in Cyber Intelligence, 2020

Optimization of TOC Task Scheduling Based on T-Type Hybrid Preemption Priority Queueing System.
Proceedings of the 2020 International Conference on Applications and Techniques in Cyber Intelligence, 2020

CPTNet: Cascade Pose Transform Network for Single Image Talking Head Animation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Cyber Situation Comprehension for IoT Systems based on APT Alerts and Logs Correlation.
Sensors, 2019

Poisoning Attack in Federated Learning using Generative Adversarial Nets.
Proceedings of the 18th IEEE International Conference On Trust, 2019

Correlate the Advanced Persistent Threat Alerts and Logs for Cyber Situation Comprehension.
Proceedings of the Security and Privacy in Social Networks and Big Data, 2019

An Efficient Federated Learning Scheme with Differential Privacy in Mobile Edge Computing.
Proceedings of the Machine Learning and Intelligent Communications, 2019

PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

A Privacy-Preserving Access Control Scheme with Verifiable and Outsourcing Capabilities in Fog-Cloud Computing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

PEFL: A Privacy-Enhanced Federated Learning Scheme for Big Data Analytics.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues.
IEEE Access, 2018

LPDA-EC: A Lightweight Privacy-Preserving Data Aggregation Scheme for Edge Computing.
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018


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