Picture for Xiaoyong Yuan

Xiaoyong Yuan

Federated Semi-Supervised Domain Adaptation via Knowledge Transfer

Jul 25, 2022
Madhureeta Das, Xianhao Chen, Xiaoyong Yuan, Lan Zhang

Figure 1 for Federated Semi-Supervised Domain Adaptation via Knowledge Transfer

Figure 2 for Federated Semi-Supervised Domain Adaptation via Knowledge Transfer

Figure 3 for Federated Semi-Supervised Domain Adaptation via Knowledge Transfer

Figure 4 for Federated Semi-Supervised Domain Adaptation via Knowledge Transfer

* 8 pages, 5 figures

Access Paper or Ask Questions

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

Apr 22, 2022
Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan

Figure 1 for Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection

Figure 2 for Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection

Figure 3 for Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection

Figure 4 for Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection

* This paper is accepted at IEEE International Conference on Pattern Recognition (ICPR), 2022

Access Paper or Ask Questions

Membership Inference Attacks and Defenses in Neural Network Pruning

Feb 07, 2022
Xiaoyong Yuan, Lan Zhang

Figure 1 for Membership Inference Attacks and Defenses in Neural Network Pruning

Figure 2 for Membership Inference Attacks and Defenses in Neural Network Pruning

Figure 3 for Membership Inference Attacks and Defenses in Neural Network Pruning

Figure 4 for Membership Inference Attacks and Defenses in Neural Network Pruning

* This paper has been conditionally accepted to USENIX Security Symposium 2022. This is an extended version

Access Paper or Ask Questions

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

Sep 08, 2021
Lan Zhang, Xiaoyong Yuan

Figure 1 for FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning

Figure 2 for FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning

Figure 3 for FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning

Figure 4 for FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning

* 13 pages

Access Paper or Ask Questions

A Vertical Federated Learning Framework for Horizontally Partitioned Labels

Jun 18, 2021
Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan

Figure 1 for A Vertical Federated Learning Framework for Horizontally Partitioned Labels

Figure 2 for A Vertical Federated Learning Framework for Horizontally Partitioned Labels

Figure 3 for A Vertical Federated Learning Framework for Horizontally Partitioned Labels

Figure 4 for A Vertical Federated Learning Framework for Horizontally Partitioned Labels

* 10 pages, 6 figures

Access Paper or Ask Questions

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

Sep 07, 2020
Xiaoyong Yuan, Lei Ding, Malek Ben Salem, Xiaolin Li, Dapeng Wu

Figure 1 for Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks

Figure 2 for Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks

Figure 3 for Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks

Figure 4 for Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks

* accepted at EAI SecureComm 2020

Access Paper or Ask Questions