Yuwei Sun

According to our database, Yuwei Sun authored at least 40 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning.

Yuwei Sun, Hideya Ochiai, Jun Sakuma

IEEE Trans. Artif. Intell., February, 2024

Remembering Transformer for Continual Learning.

Yuwei Sun, Ippei Fujisawa, Arthur Juliani, Jun Sakuma, Ryota Kanai

CoRR, 2024

ICDaIR: Distribution-aware Static IR Drop Prediction Flow Based on Image Classification.

Pinquan Li, Yunfan Zuo, Yuwei Sun, Hao Yan, Longxing Shi

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space.

Yuwei Sun, Hideya Ochiai, Jun Sakuma

Proceedings of the International Joint Conference on Neural Networks, 2024

Bidirectional Contrastive Split Learning for Visual Question Answering.

Yuwei Sun, Hideya Ochiai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Associative Transformer Is A Sparse Representation Learner.

Yuwei Sun, Hideya Ochiai, Zhirong Wu, Stephen Lin, Ryota Kanai

CoRR, 2023

Meta Neural Coordination.

Yuwei Sun

CoRR, 2023

Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication.

Hideya Ochiai, Riku Nishihata, Eisuke Tomiyama, Yuwei Sun, Hiroshi Esaki

Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Meta Learning in Decentralized Neural Networks: Towards More General AI.

Yuwei Sun

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.

Yuwei Sun, Hideya Ochiai, Hiroshi Esaki

IEEE Trans. Artif. Intell., 2022

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

Yuwei Sun, Hideya Ochiai

CoRR, 2022

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

Hideya Ochiai, Yuwei Sun, Qingzhe Jin, Nattanon Wongwiwatchai, Hiroshi Esaki

CoRR, 2022

Multi-Source Domain Adaptation Based on Federated Knowledge Alignment.

Yuwei Sun, Ng S. T. Chong, Hideya Ochiai

CoRR, 2022

Homogeneous Learning: Self-Attention Decentralized Deep Learning.

Yuwei Sun, Hideya Ochiai

IEEE Access, 2022

Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks.

Naoya Tezuka, Hideya Ochiai, Yuwei Sun, Hiroshi Esaki

Proceedings of the 4th IEEE International Conference on Trust, 2022

Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection.

Yuwei Sun, Ng S. T. Chong, Hideya Ochiai

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis.

Yuwei Sun, Hideya Ochiai, Jun Sakuma

Proceedings of the International Joint Conference on Neural Networks, 2022

Federated Reinforcement Learning for the Building Facilities.

Koki Fujita, Shugo Fujimura, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

A Flexible Distributed Building Simulator for Federated Reinforcement Learning.

Shugo Fujimura, Koki Fujita, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks.

Yuwei Sun, Hideya Ochiai, Hiroshi Esaki

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Feature Distribution Matching for Federated Domain Generalization.

Yuwei Sun, Ng S. T. Chong, Hideya Ochiai

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Adaptive Intrusion Detection in the Networking of Large-Scale LANs With Segmented Federated Learning.

Yuwei Sun, Hiroshi Esaki, Hideya Ochiai

IEEE Open J. Commun. Soc., 2021

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

Yuwei Sun, Ng S. T. Chong, Hideya Ochiai

CoRR, 2021

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

Yuwei Sun, Hideya Ochiai, Hiroshi Esaki

CoRR, 2021

Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks.

Yuwei Sun, Ng S. T. Chong, Hideya Ochiai

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.

Yuwei Sun, Ng S. T. Chong, Hideya Ochiai

Proceedings of the ICC 2021, 2021

Intrusion Measurement and Detection in LAN Using Protocol-Wise Associative Memory.

Yuwei Sun, Hideya Ochiai, Hiroshi Esaki

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.

Lu Chen, Yuwei Sun, Zhixin Sun

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.

Yuwei Sun, Hideya Ochiai, Hiroshi Esaki

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Multi-Type Anomaly Detection Based on Raw Network Traffic.

Yuwei Sun, Hideya Ochiai, Hiroshi Esaki

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2020

Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANs.

Yuwei Sun, Hideya Ochiai, Hiroshi Esaki

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption.

Yuwei Sun, Hiroshi Esaki, Hideya Ochiai

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.

Yuwei Sun, Russ Tedrake, Hideya Ochiai

Proceedings of the International Conference on Control, Automation and Diagnosis, 2020

Text-based Malicious Domain Names Detection Based on Variational Autoencoder And Supervised Learning.

Yuwei Sun, Ng S. T. Chong, Hideya Ochiai

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.

Xiaojing Wang, Zhiqi Shen, Shuai Chen, Yuwei Sun

IEEE Access, 2019

Picture Management of Power Supply Safety Management System Based on Deep Learning Technology.

Yuwei Sun, Jianbao Zhu, Qingshan Ma, Xinchun Yu, Ye Shi, Yu Chen

Proceedings of the ICSCC 2019: 5th International Conference on Systems, 2019

A Literature Review of the Research on Interaction Mode of Self-driving Cars.

Zhongshi Hu, Xin Xin, Wanting Xu, Yuwei Sun, Zhenyu Jiang, Xiangyu Wang, Yishan Liu, Siyao Lu, Min Zhao

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.

Yuwei Sun, Xiaofei Qian, Siwen Liu

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

2007

A Note on Minimal Positive Realizations of Continuous-Time Linear Systems.

Yuwei Sun, Wensheng Yu, Long Wang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

2006

Minimal Positive Realizations of Third-Order Systems with Complex Poles.

Yuwei Sun, Yuan Yu, Wensheng Yu, Long Wang

Proceedings of the Positive Systems, 2006