Zhaoyang Yu

According to our database, Zhaoyang Yu authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling.

Sinong Zhao, Wenrui Wang, Hongzuo Xu, Zhaoyang Yu, Qingsong Wen, Gang Wang, Xiaoguang Liu, Guansong Pang

CoRR, 2024

2023

STKD: Distilling Knowledge From Synchronous Teaching for Efficient Model Compression.

Tongtong Su, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Meta pseudo labels for anomaly detection via partially observed anomalies.

Sinong Zhao, Zhaoyang Yu, Sifan Li, Xiaofei Wang, Trent G. Marbach, Gang Wang, Xiaoguang Liu

Eng. Appl. Artif. Intell., November, 2023

Deep Cross-Layer Collaborative Learning Network for Online Knowledge Distillation.

Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Ziyue Xu, Gang Wang, Xiaoguang Liu

IEEE Trans. Circuits Syst. Video Technol., May, 2023

MDGAD: Meta domain generalization for distribution drift in anomaly detection.

Sinong Zhao, Zhaoyang Yu, Trent G. Marbach, Gang Wang, Airu Yin, Yatao Zhou, Xiaoguang Liu

Neurocomputing, 2023

RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks in Edge Computing.

Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2023

Meta Pseudo Labels for Anomaly Detection via Partially Observed Anomalies.

Sinong Zhao, Zhaoyang Yu, Xiaofei Wang, Trent G. Marbach, Gang Wang, Xiaoguang Liu

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Interference-Aware Task Allocation with QoS Guarantee on Edge.

Wenwen Liu, Zhaoyang Yu, Gang Wang, Xiaoguang Liu

Proceedings of the IEEE Smartworld, 2022

DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing.

Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

MSDN: A Multi-Subspace Deviation Net for Anomaly Detection.

Sinong Zhao, Zhaoyang Yu, Trent G. Marbach, Gang Wang, Xiaoguang Liu

Proceedings of the IEEE International Conference on Data Mining, 2022

A Pareto-Efficient Task-Allocation Framework Based on Deep Reinforcement Learning Algorithm in MEC.

Wenwen Liu, Sinong Zhao, Zhaoyang Yu, Gang Wang, Xiaoguang Liu

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2021

A Novel Task-Allocation Framework Based on Decision-Tree Classification Algorithm in MEC.

Wenwen Liu, Zhaoyang Yu, Meng Yan, Gang Wang, Xiaoguang Liu

Proceedings of the Network and Parallel Computing, 2021

Drag-JDEC: A Deep Reinforcement Learning and Graph Neural Network-based Job Dispatching Model in Edge Computing.

Zhaoyang Yu, Wenwen Liu, Xiaoguang Liu, Gang Wang

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Attention-based Feature Interaction for Efficient Online Knowledge Distillation.

Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Compressing Genomic Sequences by Using Deep Learning.

Wenwen Cui, Zhaoyang Yu, Zhuangzhuang Liu, Gang Wang, Xiaoguang Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2018

A Survey of Consensus and Incentive Mechanism in Blockchain Derived from P2P.

Zhaoyang Yu, Xiaoguang Liu, Gang Wang

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Load Prediction for Data Centers Based on Database Service.

Rui Cao, Zhaoyang Yu, Trent G. Marbach, Jing Li, Gang Wang, Xiaoguang Liu

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018