| 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 | 2135 | 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 | 1203 | 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 | 785 | 2011 |
| Relational retrieval using a combination of path-constrained random walks N Lao, WW Cohen Machine learning 81, 53-67, 2010 | 689 | 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 | 427 | 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 | 233 | 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 | 162* | 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 | 111 | 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 | 100 | 2012 |
| 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 | 79 | 2020 |
| Probabilistic model for contextual retrieval JR Wen, N Lao, WY Ma Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 77 | 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 | 68 | 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 | 61 | 2020 |
| A review of location encoding for GeoAI: methods and applications G Mai, K Janowicz, Y Hu, S Gao, B Yan, R Zhu, L Cai, N Lao International Journal of Geographical Information Science 36 (4), 639-673, 2022 | 56 | 2022 |
| On the opportunities and challenges of foundation models for geospatial artificial intelligence G Mai, W Huang, J Sun, S Song, D Mishra, N Liu, S Gao, T Liu, G Cong, ... arXiv preprint arXiv:2304.06798, 2023 | 52 | 2023 |
| 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 | 44 | 2015 |
| Rarr: Researching and revising what language models say, using language models L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, V Zhao, N Lao, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 41 | 2023 |
| 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 | 38 | 2004 |
| 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 | 37 | 2007 |
William W. CohenGoogle AIVerified email at google.com
