Yuwei Sun

Orcid: 0000-0001-7315-8034

According to our database1, Yuwei Sun authored at least 38 papers between 2006 and 2024.

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Bibliography

2024
Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning.
IEEE Trans. Artif. Intell., February, 2024

Bidirectional Contrastive Split Learning for Visual Question Answering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Associative Transformer Is A Sparse Representation Learner.
CoRR, 2023

Meta Neural Coordination.
CoRR, 2023

Instance-level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space.
CoRR, 2023

Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Meta Learning in Decentralized Neural Networks: Towards More General AI.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness.
IEEE Trans. Artif. Intell., 2022

UniCon: Unidirectional Split Learning with Contrastive Loss for Visual Question Answering.
CoRR, 2022

Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning.
CoRR, 2022

Multi-Source Domain Adaptation Based on Federated Knowledge Alignment.
CoRR, 2022

Homogeneous Learning: Self-Attention Decentralized Deep Learning.
IEEE Access, 2022

Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks.
Proceedings of the 4th IEEE International Conference on Trust, 2022

Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2022

Federated Reinforcement Learning for the Building Facilities.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

A Flexible Distributed Building Simulator for Federated Reinforcement Learning.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Feature Distribution Matching for Federated Domain Generalization.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Adaptive Intrusion Detection in the Networking of Large-Scale LANs With Segmented Federated Learning.
IEEE Open J. Commun. Soc., 2021

Privacy-Preserving Phishing Email Detection Based on Federated Learning and LSTM.
CoRR, 2021

Decentralized Deep Learning for Mobile Edge Computing: A Survey on Communication Efficiency and Trustworthiness.
CoRR, 2021

Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Network Flows-Based Malware Detection Using A Combined Approach of Crawling And Deep Learning.
Proceedings of the ICC 2021, 2021

Intrusion Measurement and Detection in LAN Using Protocol-Wise Associative Memory.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2021

A Mobile Internet Multi-level Two-way Identity Authentication Scheme Based on Zero Trust.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Deep Learning-Based Anomaly Detection in LAN from Raw Network Traffic Measurement.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Multi-Type Anomaly Detection Based on Raw Network Traffic.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2020
Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANs.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Trajectory Optimization for An Autonomous Vehicle Driving across Stochastic Traffic Flows based on Direct Collocation.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2020

Text-based Malicious Domain Names Detection Based on Variational Autoencoder And Supervised Learning.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2019
Research on the Pressure Impact Characteristic of Continuous Rotary Electro-Hydraulic Servo Motor.
IEEE Access, 2019

Picture Management of Power Supply Safety Management System Based on Deep Learning Technology.
Proceedings of the ICSCC 2019: 5th International Conference on Systems, 2019

A Literature Review of the Research on Interaction Mode of Self-driving Cars.
Proceedings of the Design, User Experience, and Usability. Application Domains, 2019

2018
Scheduling Deteriorating Jobs and Module Changes with Incompatible Job Families on Parallel Machines Using a Hybrid SADE-AFSA Algorithm.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

2007
A Note on Minimal Positive Realizations of Continuous-Time Linear Systems.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

2006
Minimal Positive Realizations of Third-Order Systems with Complex Poles.
Proceedings of the Positive Systems, 2006


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