Detecting large-scale system problems by mining console logs W Xu, L Huang, A Fox, D Patterson, MI Jordan Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles …, 2009 | 1435 | 2009 |
Peer-to-peer support for massively multiplayer games B Knutsson, H Lu, W Xu, B Hopkins INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and …, 2004 | 756 | 2004 |
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system B Wang, S Jin, Q Yan, H Xu, C Luo, L Wei, W Zhao, X Hou, W Ma, Z Xu, ... Applied Soft Computing 98, 106897, 2021 | 526* | 2021 |
Advances and challenges in log analysis A Oliner, A Ganapathi, W Xu Communications of the ACM 55 (2), 55-61, 2012 | 361 | 2012 |
Semi-supervised learning for neural machine translation Y Cheng, Y Cheng Joint training for neural machine translation, 25-40, 2019 | 316 | 2019 |
Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning Z Song, S Zou, W Zhou, Y Huang, L Shao, J Yuan, X Gou, W Jin, Z Wang, ... Nature communications 11 (1), 4294, 2020 | 224 | 2020 |
Online system problem detection by mining patterns of console logs W Xu, L Huang, A Fox, D Patterson, M Jordan 2009 Ninth IEEE International Conference on Data Mining, 588-597, 2009 | 219 | 2009 |
Scaling nakamoto consensus to thousands of transactions per second C Li, P Li, D Zhou, W Xu, F Long, A Yao arXiv preprint arXiv:1805.03870, 2018 | 213 | 2018 |
A Decentralized Blockchain with High Throughput and Fast Confirmation C Li, P Li, D Zhou, Z Yang, M Wu, G Yang, W Xu, F Long, ACC Yao 2020 {USENIX} Annual Technical Conference ({USENIX}{ATC} 20), 515-528, 2020 | 178 | 2020 |
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction S Zheng, W Cao, W Xu, J Bian arXiv preprint arXiv:1904.07535, 2019 | 176 | 2019 |
Optimizing bulk transfers with software-defined optical WAN X Jin, Y Li, D Wei, S Li, J Gao, L Xu, G Li, W Xu, J Rexford Proceedings of the 2016 ACM SIGCOMM Conference, 87-100, 2016 | 160 | 2016 |
Camel: A weakly supervised learning framework for histopathology image segmentation G Xu, Z Song, Z Sun, C Ku, Z Yang, C Liu, S Wang, J Ma, W Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 145 | 2019 |
Mining Console Logs for Large-Scale System Problem Detection. W Xu, L Huang, A Fox, DA Patterson, MI Jordan SysML 8, 4-4, 2008 | 143 | 2008 |
What can we learn from four years of data center hardware failures? G Wang, L Zhang, W Xu 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems …, 2017 | 137 | 2017 |
Predictive control for dynamic resource allocation in enterprise data centers W Xu, X Zhu, S Singhal, Z Wang 2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006, 115-126, 2006 | 119 | 2006 |
Joint training for pivot-based neural machine translation Y Cheng, Y Cheng Joint training for neural machine translation, 41-54, 2019 | 100 | 2019 |
Session-based fraud detection in online e-commerce transactions using recurrent neural networks S Wang, C Liu, X Gao, H Qu, W Xu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 94 | 2017 |
Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation Q Yan, B Wang, W Zhang, C Luo, W Xu, Z Xu, Y Zhang, Q Shi, L Zhang, ... IEEE Journal of Biomedical and Health Informatics 25 (7), 2629-2642, 2020 | 92 | 2020 |
Learning to Read Chest X-Ray Images from 16000+ Examples Using CNN Y Dong, Y Pan, J Zhang, W Xu Connected Health: Applications, Systems and Engineering Technologies (CHASE …, 2017 | 84 | 2017 |
Experience mining Google's production console logs W Xu, L Huang, M Jordan Workshop on Managing Systems via Log Analysis and Machine Learning …, 2010 | 71 | 2010 |