Ni Lao(劳逆)

Research Scientist

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谷歌

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My advisor was professor William W. Cohen. Now I work at Google Research.

I work on machine learning, information retrieval, and natural language processing. I am generally interested in models with rich structures, and am currently studying relational models for IR/NLP applications. Previously I have studied a wide range of topics such as robotic soccer, computer system diagnosis, product search, and question answering.

Papers49 papers

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SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting

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

Bibtex

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

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

Bibtex

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

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

ICLR, (2020)

Cited by2EIBibtex

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

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

K-CAP, pp.171-178, (2019)

Cited by2EIBibtex

Integrated Triaging for Fast Reading Comprehension

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

Bibtex

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

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

arXiv: Computation and Language, (2019)

Cited by2EIBibtex

Deep Reinforcement Learning Meets Structured Prediction

Chen Liang,Ni Lao, Wang Ling, Zita Marinho, Yuandong Tian, Lu Wang, Jason D Williams, Audrey Durand, Andre Martins

international conference on learning representations, (2019)

Bibtex

Neural Program Planner for Structured Predictions.

Jacob Biloki,Chen Liang,Ni Lao

DeepRLStructPred@ICLR, (2019)

Cited by1EIBibtex

Memory Augmented Policy Optimization for Program Synthesis with Generalization.

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

arXiv: Learning, (2018)

Cited by1EIBibtex

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

Communications of the ACM, no. 5 (2018): 103-115

Cited by518EIBibtex

Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing.

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

NeurIPS, pp.10015-10027, (2018)

Cited by36EIBibtex

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

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

geographic information retrieval, (2018)

Cited by2EIBibtex

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

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

GIR@SIGSPATIAL, (2018)

EIBibtex

Learning to Organize Knowledge and Answer Questions with N-Gram Machines.

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

arXiv: Computation and Language, (2018)

Bibtex

Learning to Organize Knowledge with N-Gram Machines.

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

international conference on learning representations, (2018)

Cited by2EIBibtex

Fast Reading Comprehension with ConvNets.

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

arXiv: Computation and Language, (2018)

Cited by13EIBibtex

Learning to Organize Knowledge with N-Gram Machines.

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

AKBC@NIPS, (2017)

EIBibtex

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

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

ACL, (2017)

Cited by154EIBibtex

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

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

arXiv: Computation and Language, (2016)

EIBibtex

Efficient inference and learning in a large knowledge base

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

Machine Learning, no. 1 (2015)

Cited by28EIBibtex

Learning Relational Features with Backward Random Walks.

Ni Lao,Einat Minkov,William W. Cohen

International Workshop on the ACL2 Theorem Prover and Its Applications, pp.666-675, (2015)

Cited by18EIBibtex

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

AAAI, pp.2302-2310, (2015)

Cited by547EIBibtex

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

Machine Learning, no. 1 (2015): 101-126

EIBibtex

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

Xin Dong 0001,Evgeniy Gabrilovich,Geremy Heitz,Wilko Horn,Ni Lao,Kevin Murphy,Thomas Strohmann,Shaohua Sun, Wei Zhang

KDD, pp.601-610, (2014)

Cited by1106EIBibtex

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

Machine Learning, (2014)

Cited by34EIBibtex

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

Ni Lao, Jun Zhu

CoRR, (2014)

EIBibtex

Efficient random walk inference with knowledge bases

N Lao

Cited by16Bibtex

Efficient Random Walk Inference with Knowledge Bases

Ni Lao,William W Cohen Chair,Teruko Mitamura, Tom Mitchell

(2012)

Cited by16Bibtex

Reading the web with learned syntactic-semantic inference rules

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

EMNLP-CoNLL, pp.1017-1026, (2012)

Cited by76EIBibtex

Personalized reading recommendations for Saccharomyces genome database

N Lao, WW Cohen

Cited by3Bibtex

CONTEXT-AWARE QUERY ALTERATION

Kevyn B Collinsthompson,Ni Lao

(2012)

Cited by15Bibtex

Random walk inference and learning in a large scale knowledge base

Ni Lao,Tom Mitchell,William W. Cohen

EMNLP, pp.529-539, (2011)

Cited by429EIBibtex

Contextual recommendation with path constrained random walks

N Lao, WW Cohen

Cited by3Bibtex

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

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

KDD, pp.475-483, (2011)

Cited by6EIBibtex

Efficient Relational Learning with Hidden Variable Detection.

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

NIPS, pp.1234-1242, (2010)

Cited by7EIBibtex

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

Jun Zhu,Ni Lao,Eric P. Xing

KDD, pp.303-312, (2010)

Cited by42EIBibtex

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

Ni Lao,William W. Cohen

KDD, pp.881-888, (2010)

Cited by82EIBibtex

Relational retrieval using a combination of path-constrained random walks

Ni Lao,William W. Cohen

Machine Learning, no. 1 (2010): 53-67

Cited by373EIBibtex

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

Hideki Shima,Ni Lao,Eric Nyberg,Teruko Mitamura

NTCIR, (2008)

Cited by13EIBibtex

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

Ni Lao,Hideki Shima,Teruko Mitamura,Eric Nyberg

NTCIR, (2008)

Cited by7EIBibtex

GeoSVM: an efficient and effective tool to predict species' potential distributions

Wenyun Zuo,Ni Lao,Yuying Geng,Keping Ma

Journal of Plant Ecology-uk, no. 2 (2008): 143-145

Cited by10Bibtex

Utility-based information distillation over temporally sequenced documents

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

SIGIR, pp.31-38, (2007)

Cited by29EIBibtex

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 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006, no. 4 (2006): 375-388

Cited by203EIWOSSCOPUSBibtex

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

DSN, pp.561-561, (2004)

Cited by1EIWOSSCOPUSBibtex

Probabilistic model for contextual retrieval

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

SIGIR, pp.57-63, (2004)

Cited by73WOSSCOPUSEIBibtex

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

LISA, pp.151-158, (2004)

Cited by27EIBibtex

Technical Solutions of TsinghuAeolus for Robotic Soccer.

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

RoboCup 2009, pp.205-213, (2003)

Cited by13EIBibtex

Technical solutions of TsinghuAeolus

J Yao,N Lao, F Yang, Y Cai, Z Sun

Cited by5Bibtex

Tree Representations for Chinese Semantic Role Labeling

Ni Lao,Teruko Mitamura,Eric Nyberg

Bibtex

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