| Mining Invariants from Console Logs for System Problem Detection. JG Lou, Q Fu, S Yang, Y Xu, J Li USENIX Annual Technical Conference, 1-14, 2010 | 175 | 2010 |
| Enabling large-scale human activity inference on smartphones using community similarity networks (csn) ND Lane, Y Xu, H Lu, S Hu, T Choudhury, AT Campbell, F Zhao Proceedings of the 13th international conference on Ubiquitous computing …, 2011 | 173 | 2011 |
| Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns Y Xu, M Lin, H Lu, G Cardone, N Lane, Z Chen, A Campbell, T Choudhury Proceedings of the 2013 International Symposium on Wearable Computers, 69-76, 2013 | 130 | 2013 |
| Exploiting social networks for large-scale human behavior modeling ND Lane, Y Xu, H Lu, AT Campbell, T Choudhury, SB Eisenman IEEE Pervasive Computing 10 (4), 45-53, 2011 | 62 | 2011 |
| Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias C Fang, Y Xu, DN Rockmore ICCV 2013, 0 | 59* | |
| Dynamic alteration of weights of ideal candidate search ranking model X Wu, Y Xu, SP Kanduri, V Dialani, Y Yan, VT Ha, A Gupta, SD Sinha US Patent App. 15/169,413, 2017 | 46 | 2017 |
| Modeling Professional Similarity by mining Professional Career Trajectories Y Xu, Z Li, A Gupta, A Bugdayci, A Bhasin In Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 37 | 2014 |
| Inositol polyphosphate kinase genes and uses thereof J Shi, H Wang, LR Beach, JA Rafalski, RE Cahoon US Patent 7,067,720, 2006 | 36 | 2006 |
| An incremental learning vector quantization algorithm for pattern classification Y Xu, F Shen, J Zhao Neural Computing & Applications, 1-11, 2010 | 33 | 2010 |
| Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn V Ha-Thuc, Y Xu, SP Kanuri, X Wu, V Dialing, Y Yan, A Gupta, S Sinha WWW 2016, 195--198, 2016 | 27 | 2016 |
| Multi-instance Metric Learning Y Xu, W Ping, AT Campbell Data Mining (ICDM), 2011 IEEE 11th International Conference on, 874-883, 2011 | 25 | 2011 |
| Feature selection for link prediction Y Xu, D Rockmore Proceedings of the 5th Ph. D. workshop on Information and knowledge, 25-32, 2012 | 20 | 2012 |
| Hyperlink Prediction in Hypernetworks Using Latent Social Features Y Xu, D Rockmore, AM Kleinbaum Discovery Science, 324-339, 2013 | 19 | 2013 |
| Non-iid multi-instance dimensionality reduction by learning a maximum bag margin subspace W Ping, Y Xu, K Ren, CH Chi, F Shen Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010 | 19 | 2010 |
| Community similarity networks ND Lane, Y Xu, H Lu, S Hu, T Choudhury, AT Campbell, F Zhao Personal and ubiquitous computing 18 (2), 355-368, 2014 | 18 | 2014 |
| An online incremental learning vector quantization Y Xu, S Furao, O Hasegawa, J Zhao Advances in Knowledge Discovery and Data Mining, 1046-1053, 2009 | 12 | 2009 |
| FAMER: Making Multi-Instance Learning Better and Faster W Ping, Y Xu, J Wang, XS Hua SDM’11, 594-605, 2011 | 11 | 2011 |
| An Online Incremental Orthogonal Component Analysis Method for Dimensionality Reduction T Zhu, Y Xu, F Shen, J Zhao Neural Networks 85 (1), 33-50, 2017 | 10 | 2017 |
| To obtain orthogonal feature extraction using training data selection Y Xu, S Furao, J Zhao, O Hasegawa Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 8 | 2009 |
| Generation of training data for ideal candidate search ranking model Y Yan, VT Ha, X Wu, SP Kanduri, V Dialani, Y Xu, A Gupta, SD Sinha US Patent 10,606,847, 2020 | 4 | 2020 |
Abhishek GuptaEngineering Leader@Facebook, Ex-LinkedInVerified email at fb.com
