Zhaoyang Yu

According to our database, Zhaoyang Yu authored at least 32 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

AFlow: Automating Agentic Workflow Generation.

Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xionghui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bang Liu, Yuyu Luo, Chenglin Wu

CoRR, 2024

MobileExperts: A Dynamic Tool-Enabled Agent Team in Mobile Devices.

Jiayi Zhang, Chuang Zhao, Yihan Zhao, Zhaoyang Yu, Ming He, Jianping Fan

CoRR, 2024

Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems.

Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yankai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei

Proceedings of the ACM on Web Conference 2024, 2024

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models.

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer.

Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient.

Guanglei He, Xiaohui Nie, Ruming Tang, Kun Wang, Zhaoyang Yu, Xidao Wen, Kanglin Yin, Dan Pei

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis.

Zhaoyang Yu, Qianyu Ouyang, Changhua Pei, Xin Wang, Wenxiao Chen, Liangfei Su, Huai Jiang, Xuanrun Wang, Jianhui Li, Dan Pei

Proceedings of the 24th IEEE International Symposium on Cluster, 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

Population mobility change for controlling the transmission of COVID-19: mobile phone data analysis in nine cities of China.

Jizhe Xia, Taicheng Li, Zhaoyang Yu, Erzhen Chen, Yang Yue, Zhen Li, Ying Zhou

Geo spatial Inf. Sci., October, 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

Parameter optimization and simulation analysis of floating root cutting mechanism for garlic harvester.

Zhaoyang Yu, Ke Yang, Zhichao Hu, Baoliang Peng, Fengwei Gu, Ling Yang, Mingjin Yang

Comput. Electron. Agric., 2023

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment.

Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 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

COVID-19 lockdown introduces human mobility pattern changes for both Guangdong-Hong Kong-Macao greater bay area and the San Francisco bay area.

Leiyang Zhong, Ying Zhou, Song Gao, Zhaoyang Yu, Zhifeng Ma, Xiaoming Li, Yang Yue, Jizhe Xia

Int. J. Appl. Earth Obs. Geoinformation, 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

LogClass: Anomalous Log Identification and Classification With Partial Labels.

Weibin Meng, Ying Liu, Shenglin Zhang, Federico Zaiter, Yuzhe Zhang, Yuheng Huang, Zhaoyang Yu, Yuzhi Zhang, Lei Song, Ming Zhang, Dan Pei

IEEE Trans. Netw. Serv. Manag., 2021

Identifying bad software changes via multimodal anomaly detection for online service systems.

Nengwen Zhao, Junjie Chen, Zhaoyang Yu, Honglin Wang, Jiesong Li, Bin Qiu, Hongyu Xu, Wenchi Zhang, Kaixin Sui, Dan Pei

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

2009

Cepstrum-Based Audio Watermarking Algorithm against the A/D and D/A Attacks.

Xiaoming Zhang, Zhaoyang Yu

Proceedings of the Fifth International Conference on Information Assurance and Security, 2009

2008

Histogram Specification-based Audio Watermarking Technology against Filtering Attacks in Time Domain.

Xiaoming Zhang, Xiong Yin, Zhaoyang Yu

Proceedings of The International Symposium on Electronic Commerce and Security, 2008

Robust Audio Watermarking Algorithm Based on Histogram Specification.

Xiaoming Zhang, Xiong Yin, Zhaoyang Yu

Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008