| Knowledge vault: A web-scale approach to probabilistic knowledge fusion X Dong, E Gabrilovich, G Heitz, W Horn, N Lao, K Murphy, T Strohmann, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 1949 | 2014 |
| Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018 | 1080 | 2018 |
| Random walk inference and learning in a large scale knowledge base N Lao, T Mitchell, W Cohen Proceedings of the 2011 conference on empirical methods in natural language …, 2011 | 718 | 2011 |
| Relational retrieval using a combination of path-constrained random walks N Lao, WW Cohen Machine learning 81, 53-67, 2010 | 633 | 2010 |
| Neural symbolic machines: Learning semantic parsers on freebase with weak supervision C Liang, J Berant, Q Le, KD Forbus, N Lao ACL 2017, 2016 | 394 | 2016 |
| Automated known problem diagnosis with event traces C Yuan, N Lao, JR Wen, J Li, Z Zhang, YM Wang, WY Ma ACM SIGOPS Operating Systems Review 40 (4), 375-388, 2006 | 226 | 2006 |
| Memory augmented policy optimization for program synthesis and semantic parsing C Liang, M Norouzi, J Berant, QV Le, N Lao Advances in Neural Information Processing Systems 31, 2018 | 142* | 2018 |
| Fast query execution for retrieval models based on path-constrained random walks N Lao, WW Cohen Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 108 | 2010 |
| Reading the web with learned syntactic-semantic inference rules N Lao, A Subramanya, F Pereira, W Cohen Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 99 | 2012 |
| Probabilistic model for contextual retrieval JR Wen, N Lao, WY Ma Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 76 | 2004 |
| Efficient inference and learning in a large knowledge base: Reasoning with extracted information using a locally groundable first-order probabilistic logic WY Wang, K Mazaitis, N Lao, WW Cohen Machine Learning 100, 101-126, 2015 | 61 | 2015 |
| Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells G Mai, K Janowicz, B Yan, R Zhu, L Cai, N Lao ICLR 2020, 2020 | 54 | 2020 |
| Grafting-light: fast, incremental feature selection and structure learning of Markov random fields J Zhu, N Lao, EP Xing Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 50 | 2010 |
| Learning relational features with backward random walks N Lao, E Minkov, W Cohen Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 39 | 2015 |
| SE‐KGE: A location‐aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting G Mai, K Janowicz, L Cai, R Zhu, B Regalia, B Yan, M Shi, N Lao Transactions in GIS 24 (3), 623-655, 2020 | 36 | 2020 |
| Utility-based information distillation over temporally sequenced documents Y Yang, A Lad, N Lao, A Harpale, B Kisiel, M Rogati Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 36 | 2007 |
| Why pcs are fragile and what we can do about it: A study of windows registry problems A Ganapathi, YM Wang, N Lao, JR Wen International Conference on Dependable Systems and Networks, 2004, 561-566, 2004 | 36 | 2004 |
| Combining High Level Symptom Descriptions and Low Level State Information for Configuration Fault Diagnosis. N Lao, JR Wen, WY Ma, YM Wang LISA 4, 151-158, 2004 | 27 | 2004 |
| Fast reading comprehension with convnets F Wu, N Lao, J Blitzer, G Yang, K Weinberger arXiv preprint arXiv:1711.04352, 2017 | 22 | 2017 |
| Geographic question answering: challenges, uniqueness, classification, and future directions G Mai, K Janowicz, R Zhu, L Cai, N Lao AGILE: GIScience series 2, 8, 2021 | 21 | 2021 |
William W. CohenGoogle AIVerified email at google.com
