Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias C Fang, Y Xu, DN Rockmore ICCV 2013, 0 | 461* | |
Mining invariants from console logs for system problem detection JG Lou, Q Fu, S Yang, Y Xu, J Li 2010 USENIX Annual Technical Conference (USENIX ATC 10), 2010 | 443 | 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 | 230 | 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 | 172 | 2013 |
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 | 118 | 2017 |
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 | 71 | 2011 |
Temporal-based professional similarity Y Xu, Z Li, A Gupta, A Bugdayci, A Bhasin US Patent 10,042,894, 2018 | 63 | 2018 |
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 | 57 | 2014 |
Countergan: Generating realistic counterfactuals with residual generative adversarial nets D Nemirovsky, N Thiebaut, Y Xu, A Gupta arXiv preprint arXiv:2009.05199, 2020 | 52 | 2020 |
An incremental learning vector quantization algorithm for pattern classification Y Xu, F Shen, J Zhao Neural Computing & Applications, 1-11, 2010 | 52 | 2010 |
Hyperlink Prediction in Hypernetworks Using Latent Social Features Y Xu, D Rockmore, AM Kleinbaum Discovery Science, 324-339, 2013 | 41 | 2013 |
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 | 36 | 2016 |
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 | 32 | 2020 |
Multi-instance Metric Learning Y Xu, W Ping, AT Campbell Data Mining (ICDM), 2011 IEEE 11th International Conference on, 874-883, 2011 | 28 | 2011 |
Feature selection for link prediction Y Xu, D Rockmore Proceedings of the 5th Ph. D. workshop on Information and knowledge, 25-32, 2012 | 27 | 2012 |
CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs D Nemirovsky, N Thiebaut, Y Xu, A Gupta Uncertainty in Artificial Intelligence, 1488-1497, 2022 | 26 | 2022 |
Query building for search by ideal candidates Y Xu, VT Ha, X Wu, SP Kanduri, V Dialani, Y Yan, A Gupta, SD Sinha US Patent 10,984,385, 2021 | 25 | 2021 |
Community similarity networks ND Lane, Y Xu, H Lu, S Hu, T Choudhury, AT Campbell, F Zhao Personal and ubiquitous computing 18, 355-368, 2014 | 25 | 2014 |
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 | 23 | 2010 |
Smart suggestions for query refinements X Wu, SP Kanduri, V Dialani, Y Xu, Y Yan, VT Ha, A Gupta, SD Sinha US Patent 10,373,075, 2019 | 20 | 2019 |