Drain: An Online Log Parsing Approach with Fixed Depth Tree P He, J Zhu, Z Zheng, MR Lyu ICWS '17: IEEE International Conference on Web Services, 33-40, 2017 | 657 | 2017 |
Experience Report: System Log Analysis for Anomaly Detection S He, J Zhu, P He, MR Lyu ISSRE '16: IEEE 27th International Symposium on Software Reliability …, 2016 | 630 | 2016 |
Tools and Benchmarks for Automated Log Parsing J Zhu, S He, J Liu, P He, Q Xie, Z Zheng, MR Lyu ICSE '19: IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 502* | 2019 |
Software Defect Prediction via Convolutional Neural Network J Li, P He, J Zhu, MR Lyu 2017 IEEE International Conference on Software Quality, Reliability and …, 2017 | 494 | 2017 |
Service-generated Big Data and Big Data-as-a-Service: An Overview Z Zheng, J Zhu, MR Lyu 2013 IEEE international congress on Big Data, 403-410, 2013 | 301 | 2013 |
An Evaluation Study on Log Parsing and Its Use in Log Mining P He, J Zhu, S He, J Li, MR Lyu DSN '16: The 46th Annual IEEE/IFIP International Conference on Dependable …, 2016 | 298 | 2016 |
Where Do Developers Log? An Empirical Study on Logging Practices in Industry Q Fu, J Zhu, W Hu, JG Lou, R Ding, Q Lin, D Zhang, T Xie ICSE '14: Companion Proceedings of the 36th International Conference on …, 2014 | 294 | 2014 |
Learning to Log: Helping Developers Make Informed Logging Decisions J Zhu, P He, Q Fu, H Zhang, MR Lyu, D Zhang ICSE '15: IEEE/ACM 37th IEEE International Conference on Software …, 2015 | 272 | 2015 |
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics J Zhu, S He, P He, J Liu, MR Lyu ISSRE '23: The 34th IEEE International Symposium on Software Reliability …, 2023 | 257* | 2023 |
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation K Mao, J Zhu, X Xiao, B Lu, Z Wang, X He CIKM '21: Proceedings of the 30th ACM International Conference on …, 2021 | 238 | 2021 |
Towards Automated Log Parsing for Large-scale Log Data Analysis P He, J Zhu, S He, J Li, MR Lyu IEEE Transactions on Dependable and Secure Computing 15 (6), 931-944, 2018 | 228 | 2018 |
Location-based Hierarchical Matrix Factorization for Web Service Recommendation P He, J Zhu, Z Zheng, J Xu, MR Lyu 2014 IEEE International Conference on Web Services, 297-304, 2014 | 127 | 2014 |
Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization J Zhu, P He, Z Zheng, MR Lyu IEEE Transactions on Parallel and Distributed Systems 28 (10), 2911-2924, 2017 | 121 | 2017 |
A Privacy-Preserving QoS prediction Framework for Web Service Recommendation J Zhu, P He, Z Zheng, MR Lyu 2015 IEEE International Conference on Web Services, 241-248, 2015 | 121 | 2015 |
SimpleX: A Simple and Strong Baseline for Collaborative Filtering K Mao, J Zhu, J Wang, Q Dai, Z Dong, X Xiao, X He CIKM '21: Proceedings of the 30th ACM International Conference on …, 2021 | 120 | 2021 |
Open Benchmarking for Click-Through Rate Prediction J Zhu, J Liu, S Yang, Q Zhang, X He CIKM '21: Proceedings of the 30th ACM International Conference on …, 2021 | 116* | 2021 |
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding Z Zhang, Z Zhao, Z Lin, J Zhu, X He NeurIPS '20: Advances in Neural Information Processing Systems 33, 18123-18134, 2020 | 107 | 2020 |
UNBERT: User-News Matching BERT for News Recommendation Q Zhang, J Li, Q Jia, C Wang, J Zhu, Z Wang, X He IJCAI '21: International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 104 | 2021 |
A Clustering-based QoS Prediction Approach for Web Service Recommendation J Zhu, Y Kang, Z Zheng, MR Lyu 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented …, 2012 | 72 | 2012 |
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression J Liu, J Zhu, S He, P He, Z Zheng, MR Lyu ASE '19: The 34th IEEE/ACM International Conference on Automated Software …, 2019 | 68 | 2019 |