Pei, Changhua

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Sun, F., Liu, J., Wu, J., Pei, C., Lin, X., Ou, W., & Jiang, P. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 2,558

Flow-of-action: SOP-enhanced LLM-based multi-agent system for root cause analysis

Pei, C., Wang, Z., Liu, F., Li, Z., Liu, Y., He, X., Kang, R., Zhang, T., Chen, J., Li, J., et al. (2025) · Companion Proceedings of the ACM on Web Conference 2025

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 33

MonitorAssistant: simplifying cloud service monitoring via large language models

Yu, Z., Ma, M., Zhang, C., Qin, S., Kang, Y., Bansal, C., Rajmohan, S., Dang, Y., Pei, C., Pei, D., et al. (2024) · Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 32

Chain-of-event: interpretable root cause analysis for microservices through automatically learning weighted event causal graph

Yao, Z., Pei, C., Chen, W., Wang, H., Su, L., Jiang, H., Xie, Z., Nie, X., & Pei, D. (2024) · Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 21

A comprehensive benchmark and empirical study of trace anomaly detection

Sun, Y., Shao, M., Nie, X., Yang, K., Li, X., Hao, B., Zhang, S., Pei, C., He, D., Li, Y., et al. (2025) · IEEE Transactions on Services Computing

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 1