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Jieming Zhu (朱杰明)
Jieming Zhu (朱杰明)
Huawei Noah's Ark Lab
Verified email at huawei.com - Homepage
Title
Cited by
Cited by
Year
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
6742017
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
6372016
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
515*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
5012017
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
3022013
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
2982016
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
2952014
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
2722015
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
271*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
2482021
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
2312018
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
1272014
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
1242021
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
1222015
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
1212017
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
120*2021
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
1082021
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
1072020
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
Y Xi, W Liu, J Lin, J Zhu, B Chen, R Tang, W Zhang, R Zhang, Y Yu
DLP@RecSys '23: International Workshop on Deep Learning Practice for High …, 2023
722023
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
722012
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Articles 1–20