Yong Yang

According to our database, Yong Yang authored at least 22 papers between 2016 and 2025.

Collaborative distances:

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

2025

A Survey of AIOps in the Era of Large Language Models.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li

CoRR, July, 2025

Tracing Service Request Processing in Cloud.

Yinqin Zhao, Chang Liu, Tao Yu, Long Wang, Xuanqing Shi, Yong Yang, Ying Li, Zhengang Wang, Dongdong Shangguan

Softw. Test. Verification Reliab., March, 2025

Towards Close-to-Zero Runtime Collection Overhead: Raft-Based Anomaly Diagnosis on System Faults for Distributed Storage System.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Hongyi Liu, Yong Yang, Zhonghai Wu, Ying Li

IEEE Trans. Serv. Comput., 2025

Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion.

Chiming Duan, Yong Yang, Tong Jia, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li, Gang Huang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection.

Chiming Duan, Tong Jia, Yong Yang, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li, Gang Huang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Rcoco: contrastive collective link prediction across multiplex network in Riemannian space.

Li Sun, Mengjie Li, Yong Yang, Xiao Li, Lin Liu, Pengfei Zhang, Haohua Du

Int. J. Mach. Learn. Cybern., September, 2024

Hilogx: noise-aware log-based anomaly detection with human feedback.

Tong Jia, Ying Li, Yong Yang, Gang Huang

VLDB J., May, 2024

Contrastive sequential interaction network learning on co-evolving Riemannian spaces.

Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu

Int. J. Mach. Learn. Cybern., April, 2024

A Survey of AIOps for Failure Management in the Era of Large Language Models.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li

CoRR, 2024

Multivariate Log-based Anomaly Detection for Distributed Database.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li, Yong Yang, Zhonghai Wu

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

Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study.

Lingzhe Zhang, Tong Jia, Kangjin Wang, Mengxi Jia, Yong Yang, Ying Li

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

2023

Capturing Request Execution Path for Understanding Service Behavior and Detecting Anomalies Without Code Instrumentation.

Yong Yang, Long Wang, Jing Gu, Ying Li

IEEE Trans. Serv. Comput., 2023

An Empirical Study on Change-induced Incidents of Online Service Systems.

Yifan Wu, Bingxu Chai, Ying Li, Bingchang Liu, Jianguo Li, Yong Yang, Wei Jiang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

2022

Tracing Processing of Service Requests in Cloud Environments.

Yinqin Zhao, Chang Liu, Tao Yu, Long Wang, Xuanqing Shi, Yong Yang, Ying Li, Zhengang Wang, Dongdong Shangguan

Proceedings of the 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback.

Tong Jia, Ying Li, Yong Yang, Gang Huang, Zhonghai Wu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

How Far Have We Come in Fault Tolerance for Distributed Graph Processing: A Quantitative Assessment of Fault Tolerance Effectiveness.

Chengbo Zhang, Ying Li, Yong Yang, Tong Jia, Zhirong Hou

Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

2020

Transparently Capturing Request Execution Path for Anomaly Detection.

Yong Yang, Long Wang, Jing Gu, Ying Li

CoRR, 2020

How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method.

Yong Yang, Yifan Wu, Karthik Pattabiraman, Long Wang, Ying Li

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

2018

KEREP: Experience in Extracting Knowledge on Distributed System Behavior through Request Execution Path.

Jing Gu, Long Wang, Yong Yang, Ying Li

Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

Transparently Capturing Execution Path of Service/Job Request Processing.

Yong Yang, Long Wang, Jing Gu, Ying Li

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2016

CUT: A Combined Approach for Tag Recommendation in Software Information Sites.

Yong Yang, Ying Li, Yang Yue, Zhonghai Wu, Wenlong Shao

Proceedings of the Knowledge Science, Engineering and Management, 2016

An Approach for Cross-Community Content Recommendation: A Case Study on Docker.

Yong Yang, Ying Li, Hongyan Tang, Tong Jia, Wenlong Shao

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016