An Approach for Cross-Community Content Recommendation: A Case Study on Docker. - Yong Yang 011; Ying Li 012; Hongyan Tang; Tong Jia; Wenlong Shao (APWeb (2), 2016)

CUT: A Combined Approach for Tag Recommendation in Software Information Sites. - Yong Yang 011; Ying Li 012; Yang Yue; Zhonghai Wu; Wenlong Shao (KSEM, 2016)

Transparently Capturing Execution Path of Service/Job Request Processing. - Yong Yang 011; Long Wang 003; Jing Gu; Ying Li 012 (ICSOC, 2018)

KEREP: Experience in Extracting Knowledge on Distributed System Behavior through Request Execution Path. - Jing Gu; Long Wang 003; Yong Yang 011; Ying Li 012 (ISSRE Workshops, 2018)

How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method. - Yong Yang 011; Yifan Wu 002; Karthik Pattabiraman; Long Wang 003; Ying Li 012 (ISSRE, 2020)

Transparently Capturing Request Execution Path for Anomaly Detection. - Yong Yang 011; Long Wang 003; Jing Gu; Ying Li 012 (CoRR, 2020)

How Far Have We Come in Fault Tolerance for Distributed Graph Processing: A Quantitative Assessment of Fault Tolerance Effectiveness. - Chengbo Zhang; Ying Li 012; Yong Yang 011; Tong Jia; Zhirong Hou (ISSRE Workshops, 2021)

Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback. - Tong Jia; Ying Li 012; Yong Yang 011; Gang Huang 001; Zhonghai Wu (KDD, 2022)

Tracing Processing of Service Requests in Cloud Environments. - Yinqin Zhao; Chang Liu; Tao Yu; Long Wang 003; Xuanqing Shi; Yong Yang 011; Ying Li 012; Zhengang Wang; Dongdong Shangguan (PRDC, 2022)

An Empirical Study on Change-induced Incidents of Online Service Systems. - Yifan Wu 002; Bingxu Chai; Ying Li 012; Bingchang Liu; Jianguo Li; Yong Yang 011; Wei Jiang 011 (ICSE-SEIP, 2023)

Capturing Request Execution Path for Understanding Service Behavior and Detecting Anomalies Without Code Instrumentation. - Yong Yang 011; Long Wang 003; Jing Gu; Ying Li 012 (IEEE Trans. Serv. Comput., 2023)

Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study. - Lingzhe Zhang; Tong Jia; Kangjin Wang; Mengxi Jia; Yong Yang 011; Ying Li 012 (ESEM, 2024)

Multivariate Log-based Anomaly Detection for Distributed Database. - Lingzhe Zhang; Tong Jia; Mengxi Jia; Ying Li 012; Yong Yang 011; Zhonghai Wu (KDD, 2024)

A Survey of AIOps for Failure Management in the Era of Large Language Models. - Lingzhe Zhang; Tong Jia; Mengxi Jia; Yifan Wu 002; Aiwei Liu; Yong Yang 011; Zhonghai Wu; Xuming Hu; Philip S. Yu; Ying Li 012 (CoRR, 2024)

Contrastive sequential interaction network learning on co-evolving Riemannian spaces. - Li Sun 008; Junda Ye; Jiawei Zhang 001; Yong Yang 011; Mingsheng Liu; Feiyang Wang; Philip S. Yu (Int. J. Mach. Learn. Cybern., 2024)

Hilogx: noise-aware log-based anomaly detection with human feedback. - Tong Jia; Ying Li 012; Yong Yang 011; Gang Huang 001 (VLDB J., 2024)

Rcoco: contrastive collective link prediction across multiplex network in Riemannian space. - Li Sun 008; Mengjie Li; Yong Yang 011; Xiao Li; Lin Liu; Pengfei Zhang; Haohua Du (Int. J. Mach. Learn. Cybern., 2024)

EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection. - Chiming Duan; Tong Jia; Yong Yang 011; Guiyang Liu; Jinbu Liu; Huxing Zhang; Qi Zhou; Ying Li 012; Gang Huang 001 (ICASSP, 2025)

Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion. - Chiming Duan; Yong Yang 011; Tong Jia; Guiyang Liu; Jinbu Liu; Huxing Zhang; Qi Zhou; Ying Li 012; Gang Huang 001 (ICSE, 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 011; Zhonghai Wu; Ying Li 012 (IEEE Trans. Serv. Comput., 2025)

Tracing Service Request Processing in Cloud. - Yinqin Zhao; Chang Liu; Tao Yu; Long Wang 003; Xuanqing Shi; Yong Yang 011; Ying Li 012; Zhengang Wang; Dongdong Shangguan (Softw. Test. Verification Reliab., 2025)

A Survey of AIOps in the Era of Large Language Models. - Lingzhe Zhang; Tong Jia; Mengxi Jia; Yifan Wu 002; Aiwei Liu; Yong Yang 011; Zhonghai Wu; Xuming Hu; Philip S. Yu; Ying Li 012 (CoRR, 2025)