Ni Lao

According to our database, Ni Lao authored at least 53 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.

Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai

CoRR, 2024

2023

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages.

Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph

Int. J. Geogr. Inf. Sci., November, 2023

Towards general-purpose representation learning of polygonal geometries.

Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao

GeoInformatica, April, 2023

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution.

Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon

CoRR, 2023

Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions.

Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao

CoRR, 2023

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence.

Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao

CoRR, 2023

CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations.

Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon

Proceedings of the International Conference on Machine Learning, 2023

Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa.

Hao Li, Jiapan Wang, Johann Maximilian Zollner, Gengchen Mai, Ni Lao, Martin Werner

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

RARR: Researching and Revising What Language Models Say, Using Language Models.

Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A review of location encoding for GeoAI: methods and applications.

Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao

Int. J. Geogr. Inf. Sci., 2022

Attributed Text Generation via Post-hoc Research and Revision.

Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu

CoRR, 2022

Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions.

Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao

CoRR, 2022

Towards a foundation model for geospatial artificial intelligence (vision paper).

Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, Stefano Ermon

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021

Narrative Cartography with Knowledge Graphs.

Gengchen Mai, Weiming Huang, Ling Cai, Rui Zhu, Ni Lao

CoRR, 2021

Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions.

Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ling Cai, Ni Lao

CoRR, 2021

Orthographic Transliteration for Kabyle Speech Recognition.

Christopher Haberland, Ni Lao

Proceedings of the 4th International Conference on Natural Language and Speech Processing, 2021

2020

SE-KGE : A location-aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting.

Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao

Trans. GIS, 2020

Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval.

Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, Christopher DuBois

CoRR, 2020

Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online.

Gengchen Mai, Krzysztof Janowicz, Sathya Prasad, Meilin Shi, Ling Cai, Rui Zhu, Blake Regalia, Ni Lao

CoRR, 2020

Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells.

Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Integrated Triaging for Fast Reading Comprehension.

Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger

CoRR, 2019

FastFusionNet: New State-of-the-Art for DAWNBench SQuAD.

Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger

CoRR, 2019

Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs.

Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao

Proceedings of the 10th International Conference on Knowledge Capture, 2019

Neural Program Planner for Structured Predictions.

Jacob Biloki, Chen Liang, Ni Lao

Proceedings of the Deep Reinforcement Learning Meets Structured Prediction, 2019

2018

Memory Augmented Policy Optimization for Program Synthesis with Generalization.

Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao

CoRR, 2018

Never-ending learning.

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

Commun. ACM, 2018

Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing.

Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset.

Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao

Proceedings of the 12th Workshop on Geographic Information Retrieval, 2018

2017

Fast Reading Comprehension with ConvNets.

Felix Wu, Ni Lao, John Blitzer, Guandao Yang, Kilian Q. Weinberger

CoRR, 2017

Learning to Organize Knowledge with N-Gram Machines.

Fan Yang, William W. Cohen, Jiazhong Nie, Ni Lao

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision.

Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version).

Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao

CoRR, 2016

2015

Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic.

William Yang Wang, Kathryn Mazaitis, Ni Lao, William W. Cohen

Mach. Learn., 2015

Learning Relational Features with Backward Random Walks.

Ni Lao, Einat Minkov, William W. Cohen

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Never-Ending Learning.

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic.

William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen

CoRR, 2014

Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields.

Ni Lao, Jun Zhu

CoRR, 2014

Knowledge vault: a web-scale approach to probabilistic knowledge fusion.

Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2012

Reading The Web with Learned Syntactic-Semantic Inference Rules.

Ni Lao, Amarnag Subramanya, Fernando C. N. Pereira, William W. Cohen

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

Conditional topical coding: an efficient topic model conditioned on rich features.

Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Random Walk Inference and Learning in A Large Scale Knowledge Base.

Ni Lao, Tom M. Mitchell, William W. Cohen

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010

Relational retrieval using a combination of path-constrained random walks.

Ni Lao, William W. Cohen

Mach. Learn., 2010

Efficient Relational Learning with Hidden Variable Detection.

Ni Lao, Jun Zhu, Xinwang Liu, Yandong Liu, William W. Cohen

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Grafting-light: fast, incremental feature selection and structure learning of Markov random fields.

Jun Zhu, Ni Lao, Eric P. Xing

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Fast query execution for retrieval models based on path-constrained random walks.

Ni Lao, William W. Cohen

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2008

Complex Cross-lingual Question Answering as a Sequential Classification and Multi-Document Summarization Task.

Hideki Shima, Ni Lao, Eric Nyberg, Teruko Mitamura

Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2008

Query Expansion and Machine Translation for Robust Cross-Lingual Information Retrieval.

Ni Lao, Hideki Shima, Teruko Mitamura, Eric Nyberg

Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2008

2007

Utility-based information distillation over temporally sequenced documents.

Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

2006

Automated known problem diagnosis with event traces.

Chun Yuan, Ni Lao, Ji-Rong Wen, Jiwei Li, Zheng Zhang, Yi-Min Wang, Wei-Ying Ma

Proceedings of the 2006 EuroSys Conference, Leuven, Belgium, April 18-21, 2006, 2006

2004

Probabilistic model for contextual retrieval.

Ji-Rong Wen, Ni Lao, Wei-Ying Ma

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Combining High Level Symptom Descriptions and Low Level State Information for Configuration Fault Diagnosis.

Ni Lao, Ji-Rong Wen, Wei-Ying Ma, Yi-Min Wang

Proceedings of the 18th Conference on Systems Administration (LISA 2004), 2004

Why PCs Are Fragile and What We Can Do About It: A Study of Windows Registry Problems.

Archana Ganapathi, Yi-Min Wang, Ni Lao, Ji-Rong Wen

Proceedings of the 2004 International Conference on Dependable Systems and Networks (DSN 2004), 28 June, 2004

2003

Technical Solutions of TsinghuAeolus for Robotic Soccer.

Jinyi Yao, Ni Lao, Fan Yang, Yunpeng Cai, Zengqi Sun

Proceedings of the RoboCup 2003: Robot Soccer World Cup VII, 2003