Ni Lao

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 47

Top Topics

Visual Representations

Semantically Enriched

Efficient Inference And Learning

Top Venues

Int. J. Geogr. Inf. Sci.

Publications

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 (2024)
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) (2024)
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 (2024)
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)
Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. CoRR (2024)
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 (2023)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
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 (2023)
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)
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)
Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. CoRR (2023)
Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. ICML (2023)
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 (2022)
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 (2022)
Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions. CoRR (2022)
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)
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) (2022)
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 (2021)
Christopher Haberland, Ni Lao
Orthographic Transliteration for Kabyle Speech Recognition. ICNLSP (2021)
Gengchen Mai, Weiming Huang, Ling Cai, Rui Zhu, Ni Lao
Narrative Cartography with Knowledge Graphs. CoRR (2021)
Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ling Cai, Ni Lao
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions. CoRR (2021)
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) (2020)
Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, Christopher DuBois
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval. CoRR (2020)
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 (2020)
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 (2020)
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)
Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. CoRR (2020)
Jacob Biloki, Chen Liang, Ni Lao
Neural Program Planner for Structured Predictions. DeepRLStructPred@ICLR (2019)
Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger
FastFusionNet: New State-of-the-Art for DAWNBench SQuAD. CoRR (2019)
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)
Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. CoRR (2019)
Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger
Integrated Triaging for Fast Reading Comprehension. CoRR (2019)
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) (2018)
Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. CoRR (2018)
Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao
Memory Augmented Policy Optimization for Program Synthesis with Generalization. CoRR (2018)
Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. GIR@SIGSPATIAL (2018)
Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao
Learning to Organize Knowledge with N-Gram Machines. ICLR (Workshop) (2018)
Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing. NeurIPS (2018)
Felix Wu, Ni Lao, John Blitzer, Guandao Yang, Kilian Q. Weinberger
Fast Reading Comprehension with ConvNets. CoRR (2017)
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)
Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao
Learning to Organize Knowledge with N-Gram Machines. CoRR (2017)
Fan Yang, William W. Cohen, Jiazhong Nie, Ni Lao
Learning to Organize Knowledge with N-Gram Machines. AKBC@NIPS (2017)
Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. CoRR (2016)
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 (2016)
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) (2015)
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)
Ni Lao, Einat Minkov, William W. Cohen
Learning Relational Features with Backward Random Walks. ACL (1) (2015)
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)
Ni Lao, Jun Zhu
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields. CoRR (2014)
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 (2014)
Ni Lao, Amarnag Subramanya, Fernando C. N. Pereira, William W. Cohen
Reading The Web with Learned Syntactic-Semantic Inference Rules. EMNLP-CoNLL (2012)
Ni Lao, Tom M. Mitchell, William W. Cohen
Random Walk Inference and Learning in A Large Scale Knowledge Base. EMNLP (2011)
Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing
Conditional topical coding: an efficient topic model conditioned on rich features. KDD (2011)
Ni Lao, William W. Cohen
Relational retrieval using a combination of path-constrained random walks. Mach. Learn. 81 (1) (2010)
Ni Lao, William W. Cohen
Fast query execution for retrieval models based on path-constrained random walks. KDD (2010)
Ni Lao, Jun Zhu, Xinwang Liu, Yandong Liu, William W. Cohen
Efficient Relational Learning with Hidden Variable Detection. NIPS (2010)
Jun Zhu, Ni Lao, Eric P. Xing
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields. KDD (2010)
Ni Lao, Hideki Shima, Teruko Mitamura, Eric Nyberg
Query Expansion and Machine Translation for Robust Cross-Lingual Information Retrieval. NTCIR (2008)
Hideki Shima, Ni Lao, Eric Nyberg, Teruko Mitamura
Complex Cross-lingual Question Answering as a Sequential Classification and Multi-Document Summarization Task. NTCIR (2008)
Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati
Utility-based information distillation over temporally sequenced documents. SIGIR (2007)
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)
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)
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)
Ji-Rong Wen, Ni Lao, Wei-Ying Ma
Probabilistic model for contextual retrieval. SIGIR (2004)
Jinyi Yao, Ni Lao, Fan Yang, Yunpeng Cai, Zengqi Sun
Technical Solutions of TsinghuAeolus for Robotic Soccer. RoboCup (2003)