Xiaoyong Yuan

Orcid: 0000-0003-0782-4187

According to our database¹, Xiaoyong Yuan authored at least 58 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy Over Distributed Labels.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2024

Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach.

[BibT_eX]

[DOI]

IEEE Commun. Lett., November, 2024

A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation.

[BibT_eX]

[DOI]

CoRR, 2024

PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Individual Fairness with Group Awareness Under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Mobile Computing, 2024

BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Enhancing Winter Road Maintenance via Cloud Computing.

[BibT_eX]

[DOI]

Mohammad Hossein Tavakoli Dastjerdi

Zheng Liu

Behnam Azmoon

Xiaoyong Yuan

IEEE Internet Comput., 2023

Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Embracing Semi-supervised Domain Adaptation for Federated Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Cyber-Physical Systems and Smart Vehicles, 2023

RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Mobility, 2023

Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

Distributed Pruning Towards Tiny Neural Networks in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

TRGE: A Backdoor Detection After Quantization.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Cryptology - 19th International Conference, 2023

2022

Learning Fast and Slow: Propedeutica for Real-Time Malware Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

Stackelberg equilibrium strategies and coordination of a low-carbon supply chain with a risk-averse retailer.

[BibT_eX]

[DOI]

Int. Trans. Oper. Res., 2022

Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Trade credit insurance: insuring strategy of the retailer and the manufacturer.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2022

FedTiny: Pruned Federated Learning Towards Specialized Tiny Models.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Semi-Supervised Domain Adaptation via Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2022

Membership Inference Attacks and Defenses in Neural Network Pruning.

[BibT_eX]

[DOI]

Xiaoyong Yuan

Lan Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection.

[BibT_eX]

[DOI]

Saket S. Chaturvedi

Lan Zhang

Xiaoyong Yuan

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Cascade Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models.

[BibT_eX]

[DOI]

Lan Zhang

Dapeng Wu

Xiaoyong Yuan

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Shapley Explainer - An Interpretation Method for GNNs Used in SDN.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2022

2021

FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning.

[BibT_eX]

[DOI]

Lan Zhang

Xiaoyong Yuan

CoRR, 2021

A Vertical Federated Learning Framework for Horizontally Partitioned Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Stealing Deep Neural Networks on Mobile Devices.

[BibT_eX]

[DOI]

Shashank Reddy Danda

Xiaoyong Yuan

Bo Chen

Proceedings of the Security and Privacy in Communication Networks, 2021

Sensing to Learn: Deep Learning Based Wireless Sensing via Connected Digital and Physical Experiments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Simulation and Digital Human Modeling, 2021

2020

Option contract strategies with risk-aversion and emergency purchase.

[BibT_eX]

[DOI]

Int. Trans. Oper. Res., 2020

Trade credit insurance in a capital-constrained supply chain.

[BibT_eX]

[DOI]

Int. Trans. Oper. Res., 2020

Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-supervised Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2020

Adaptive Adversarial Attack on Scene Text Recognition.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Adversarial Examples: Attacks and Defenses for Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Generalized Batch Normalization: Towards Accelerating Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Analysis of Frequently Failing Tasks and Rescheduling Strategy in the Cloud System.

[BibT_eX]

[DOI]

Int. J. Distributed Syst. Technol., 2018

Detection and defense of DDoS attack-based on deep learning in OpenFlow-based SDN.

[BibT_eX]

[DOI]

Int. J. Commun. Syst., 2018

Adaptive Adversarial Attack on Scene Text Recognition.

[BibT_eX]

[DOI]

Xiaoyong Yuan

Pan He

Xiaolin Andy Li

CoRR, 2018

Leveraging Uncertainty for Effective Malware Mitigation.

[BibT_eX]

[DOI]

CoRR, 2018

Joint Operational and Financial Collaboration in a Capital-Constrained Supply Chain Under Manufacturer Collateral.

[BibT_eX]

[DOI]

Asia Pac. J. Oper. Res., 2018

2017

基于时间序列分析的杀手级任务在线识别方法 (Time Series Based Killer Task Online Recognition Approach).

[BibT_eX]

[DOI]

计算机科学, 2017

Adversarial Examples: Attacks and Defenses for Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2017

DeepDefense: Identifying DDoS Attack via Deep Learning.

[BibT_eX]

[DOI]

Xiaoyong Yuan

Chuanhuang Li

Xiaolin Li

Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

PhD Forum: Deep Learning-Based Real-Time Malware Detection with Multi-Stage Analysis.

[BibT_eX]

[DOI]

Xiaoyong Yuan

Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

The dose makes the poison - Leveraging uncertainty for effective malware detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2017

Intelligent Perioperative System: Towards Real-Time Big Data Analytics in Surgery Risk Assessment.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2016

Time Series Based Killer Task Online Recognition Service: A Google Cluster Case Study.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium on Service-Oriented System Engineering, 2016

DeepSky: Identifying Absorption Bumps via Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015

Characterizing and Predicting Bug Assignment in OpenStack.

[BibT_eX]

[DOI]

Proceedings of the 2015 Second International Conference on Trustworthy Systems and Their Applications, 2015

An Analysis on Availability Commitment and Penalty in Cloud SLA.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

A Competitive Penalty Model for Availability Based Cloud SLA.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

Scheduling Cloud Platform Managed Live-Migration Operations to Minimize the Makespan.

[BibT_eX]

[DOI]

Proceedings of the Network and Parallel Computing, 2014

Dependability Analysis on Open Stack IaaS Cloud: Bug Anaysis and Fault Injection.

[BibT_eX]

[DOI]

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

Xiaoyong Yuan

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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