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2020 – today
- 2024
[j8]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:
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10(2): 11 (2024)- [c32]Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao:
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. ICML 2024 - [c31]Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai:
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. SIGIR 2024: 2749-2754 - [i29]Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai:
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. CoRR abs/2403.19584 (2024) - [i28]Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao:
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. CoRR abs/2405.18395 (2024) - [i27]Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai:
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning. CoRR abs/2406.15658 (2024) - 2023
- [j7]Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao:
Towards general-purpose representation learning of polygonal geometries. GeoInformatica 27(2): 289-340 (2023) - [j6]Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph:
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. Int. J. Geogr. Inf. Sci. 37(11): 2289-2318 (2023) - [c30]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:
RARR: Researching and Revising What Language Models Say, Using Language Models. ACL (1) 2023: 16477-16508 - [c29]Hao Li, Jiapan Wang, Johann Maximilian Zollner, Gengchen Mai, Ni Lao, Martin Werner:
Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa. SIGSPATIAL/GIS 2023: 55:1-55:9 - [c28]Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon:
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. ICML 2023: 23498-23515 - [i26]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:
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR abs/2304.06798 (2023) - [i25]Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon:
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. CoRR abs/2305.01118 (2023) - [i24]Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions. CoRR abs/2306.17624 (2023) - [i23]Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon:
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. CoRR abs/2310.00413 (2023) - [i22]Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph:
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. CoRR abs/2310.09340 (2023) - 2022
- [j5]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
A review of location encoding for GeoAI: methods and applications. Int. J. Geogr. Inf. Sci. 36(4): 639-673 (2022) - [c27]Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, Stefano Ermon:
Towards a foundation model for geospatial artificial intelligence (vision paper). SIGSPATIAL/GIS 2022: 106:1-106:4 - [i21]Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions. CoRR abs/2201.10489 (2022) - [i20]Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao:
Towards General-Purpose Representation Learning of Polygonal Geometries. CoRR abs/2209.15458 (2022) - [i19]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:
Attributed Text Generation via Post-hoc Research and Revision. CoRR abs/2210.08726 (2022) - 2021
- [c26]Christopher Haberland, Ni Lao:
Orthographic Transliteration for Kabyle Speech Recognition. ICNLSP 2021: 11-22 - [i18]Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ling Cai, Ni Lao:
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions. CoRR abs/2105.09392 (2021) - [i17]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
A Review of Location Encoding for GeoAI: Methods and Applications. CoRR abs/2111.04006 (2021) - [i16]Gengchen Mai, Weiming Huang, Ling Cai, Rui Zhu, Ni Lao:
Narrative Cartography with Knowledge Graphs. CoRR abs/2112.00970 (2021) - 2020
- [j4]Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao:
SE-KGE : A location-aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting. Trans. GIS 24(3): 623-655 (2020) - [c25]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. ICLR 2020 - [i15]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. CoRR abs/2003.00824 (2020) - [i14]Gengchen Mai, Krzysztof Janowicz, Sathya Prasad, Meilin Shi, Ling Cai, Rui Zhu, Blake Regalia, Ni Lao:
Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online. CoRR abs/2003.06561 (2020) - [i13]Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao:
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting. CoRR abs/2004.14171 (2020) - [i12]Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, Christopher DuBois:
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval. CoRR abs/2012.14094 (2020)
2010 – 2019
- 2019
- [c24]Jacob Biloki, Chen Liang, Ni Lao:
Neural Program Planner for Structured Predictions. DeepRLStructPred@ICLR 2019 - [c23]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. K-CAP 2019: 171-178 - [i11]Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger:
FastFusionNet: New State-of-the-Art for DAWNBench SQuAD. CoRR abs/1902.11291 (2019) - [i10]Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger:
Integrated Triaging for Fast Reading Comprehension. CoRR abs/1909.13128 (2019) - [i9]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. CoRR abs/1910.00084 (2019) - 2018
- [j3]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:
Never-ending learning. Commun. ACM 61(5): 103-115 (2018) - [c22]Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao:
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. GIR@SIGSPATIAL 2018: 5:1-5:2 - [c21]Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao:
Learning to Organize Knowledge with N-Gram Machines. ICLR (Workshop) 2018 - [c20]Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao:
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing. NeurIPS 2018: 10015-10027 - [i8]Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao:
Memory Augmented Policy Optimization for Program Synthesis with Generalization. CoRR abs/1807.02322 (2018) - [i7]Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao:
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. CoRR abs/1810.02802 (2018) - 2017
- [c19]Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao:
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. ACL (1) 2017: 23-33 - [c18]Fan Yang, William W. Cohen, Jiazhong Nie, Ni Lao:
Learning to Organize Knowledge with N-Gram Machines. AKBC@NIPS 2017 - [e1]Juanzi Li, Ming Zhou, Guilin Qi, Ni Lao, Tong Ruan, Jianfeng Du:
Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence - Second China Conference, CCKS 2017, Chengdu, China, August 26-29, 2017, Revised Selected Papers. Communications in Computer and Information Science 784, Springer 2017, ISBN 978-981-10-7358-8 [contents] - [i6]Felix Wu, Ni Lao, John Blitzer, Guandao Yang, Kilian Q. Weinberger:
Fast Reading Comprehension with ConvNets. CoRR abs/1711.04352 (2017) - [i5]Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao:
Learning to Organize Knowledge with N-Gram Machines. CoRR abs/1711.06744 (2017) - 2016
- [i4]Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao:
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. CoRR abs/1611.00020 (2016) - [i3]Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao:
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version). CoRR abs/1612.01197 (2016) - 2015
- [j2]William Yang Wang, Kathryn Mazaitis, Ni Lao, William W. Cohen:
Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic. Mach. Learn. 100(1): 101-126 (2015) - [c17]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:
Never-Ending Learning. AAAI 2015: 2302-2310 - [c16]Ni Lao, Einat Minkov, William W. Cohen:
Learning Relational Features with Backward Random Walks. ACL (1) 2015: 666-675 - 2014
- [c15]Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang:
Knowledge vault: a web-scale approach to probabilistic knowledge fusion. KDD 2014: 601-610 - [i2]William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen:
Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic. CoRR abs/1404.3301 (2014) - [i1]Ni Lao, Jun Zhu:
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields. CoRR abs/1406.7445 (2014) - 2012
- [c14]Ni Lao, Amarnag Subramanya, Fernando C. N. Pereira, William W. Cohen:
Reading The Web with Learned Syntactic-Semantic Inference Rules. EMNLP-CoNLL 2012: 1017-1026 - 2011
- [c13]Ni Lao, Tom M. Mitchell, William W. Cohen:
Random Walk Inference and Learning in A Large Scale Knowledge Base. EMNLP 2011: 529-539 - [c12]Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing:
Conditional topical coding: an efficient topic model conditioned on rich features. KDD 2011: 475-483 - 2010
- [j1]Ni Lao, William W. Cohen:
Relational retrieval using a combination of path-constrained random walks. Mach. Learn. 81(1): 53-67 (2010) - [c11]Jun Zhu, Ni Lao, Eric P. Xing:
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields. KDD 2010: 303-312 - [c10]Ni Lao, William W. Cohen:
Fast query execution for retrieval models based on path-constrained random walks. KDD 2010: 881-888 - [c9]Ni Lao, Jun Zhu, Xinwang Liu, Yandong Liu, William W. Cohen:
Efficient Relational Learning with Hidden Variable Detection. NIPS 2010: 1234-1242
2000 – 2009
- 2008
- [c8]Ni Lao, Hideki Shima, Teruko Mitamura, Eric Nyberg:
Query Expansion and Machine Translation for Robust Cross-Lingual Information Retrieval. NTCIR 2008 - [c7]Hideki Shima, Ni Lao, Eric Nyberg, Teruko Mitamura:
Complex Cross-lingual Question Answering as a Sequential Classification and Multi-Document Summarization Task. NTCIR 2008 - 2007
- [c6]Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati:
Utility-based information distillation over temporally sequenced documents. SIGIR 2007: 31-38 - 2006
- [c5]Chun Yuan, Ni Lao, Ji-Rong Wen, Jiwei Li, Zheng Zhang, Yi-Min Wang, Wei-Ying Ma:
Automated known problem diagnosis with event traces. EuroSys 2006: 375-388 - 2004
- [c4]Archana Ganapathi, Yi-Min Wang, Ni Lao, Ji-Rong Wen:
Why PCs Are Fragile and What We Can Do About It: A Study of Windows Registry Problems. DSN 2004: 561-566 - [c3]Ni Lao, Ji-Rong Wen, Wei-Ying Ma, Yi-Min Wang:
Combining High Level Symptom Descriptions and Low Level State Information for Configuration Fault Diagnosis. LISA 2004: 151-158 - [c2]Ji-Rong Wen, Ni Lao, Wei-Ying Ma:
Probabilistic model for contextual retrieval. SIGIR 2004: 57-63 - 2003
- [c1]Jinyi Yao, Ni Lao, Fan Yang, Yunpeng Cai, Zengqi Sun:
Technical Solutions of TsinghuAeolus for Robotic Soccer. RoboCup 2003: 205-213
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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