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.
Ni Lao, Einat Minkov and William Cohen, Learning relational features with backward random walks , ACL 2015. poster
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, to appear in Machine Learning Journal (MLJ 2015), Springer.
T. Mitchell, W. Cohen, E. Hruscha, P. Talukdar, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner,B. Kisiel,J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohammad, N. Nakashole, E. Platanios,A. Ritter, M. Samadi, B. Settles, R.Wang, D.Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J.Welling (2015): Never-Ending Learning in AAAI-2015.
Ni Lao, Jun Zhu: Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields. CoRR abs/1406.7445 (2014)
Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphyy, Thomas Strohmann, Shaohua Sun, Wei Zhang . KDD, 2014
Kevyn B Collins-thompson, Ni Lao, Context-Aware Query Alteration, US Patent 20120233140, 2012
Ni Lao, Amarnag Subramanya, Fernando Pereira, William W. Cohen Reading The Web with Learned Syntactic-Semantic Inference Rules. EMNLP, 2012
Ni Lao, William W. Cohen, Personalized Reading Recommendations for Saccharomyces Genome Database. DILS, 2012 poster
Ni Lao, Tom Mitchell, William W. Cohen, Random Walk Inference and Learning in A Large Scale Knowledge Base. EMNLP, 2011 slides poster
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 Machine Learning, 2010, Volume 81, Number 1, Pages 53-67 (ECML, 2010 slides poster )
Ni Lao, Jun Zhu, Liu Liu, Yandong Liu, William W. Cohen, Efficient Relational Learning with Hidden Variable Detection. NIPS, 2010 poster
Ni Lao, William W. Cohen, Fast Query Execution for Retrieval Models based on Path Constrained Random Walks. KDD, 2010
Jun Zhu, Ni Lao, E. P. Xing, Grafting-Light: Fast, Incremental Feature Selection and Structure Learning of Markov Random Fields. KDD, 2010
Lao, Ni, Hideki Shima, Teruko Mitamura and Eric Nyberg. 2008. Query Expansion and Machine Translation for Robust Cross-Lingual Information Retrieval , in Proceedings of NTCIR-7 Workshop, Japan.
Shima, Hideki, Ni Lao, Eric Nyberg and Teruko Mitamura. 2008. Complex Cross-lingual Question Answering as Sequential Classification and Multi-Document Summarization Task , in Proceedings of NTCIR-7 Workshop, Japan.
W. Zuo, N. Lao, Y. Geng, and K. Ma. 2008. GeoSVM: an efficient and effective tool to predict species' potential distributions. Journal of Plant Ecology, 1(2): 143-145.
Yiming Yang,Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati, Utility-based information distillation over temporally sequenced documents, SIGIR, pp. 31-38, 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.
Ni Lao, Ji-Rong Wen, Wei-Ying Ma, Yi-Min Wang, Combine High Level Symptom 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.
Archana Ganapathi, Yi-Min Wang, Ni Lao, Ji-Ron g Wen, Why PCs Are Fragile and What We Can Do About It: A Study of Windows Registry Problems, Dependable System and Network (DSN), 2004.
Jinyi Yao, Lao Ni, Fan Yang, Yunpeng Cai, Zengqi Sun, Technical Solutions of TsinghuAeolus for Robotic Soccer. Robocup 2003: 205-213,RoboCup, pp. 205-213, 2003
Ni Lao, Elephant and AI . 2012.
Ni Lao, Programming by Demonstrations and Verbal Commands. 2012.
Ni Lao, Beyond Shallow Semantics. 2011.
Ni Lao, CCG, Fractal, and Emergence. 2011.
Ni Lao, Reinforcement Learning In An Unknown Domain (slides). 2011.
Ni Lao, Probablistic Ontology Model. 2010.
Ni Lao, Split-Emit Process for Natural Language Generation. 2009.
Ni Lao, Jun Zhu, Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields . 2009.
Ni Lao, T. Mitamura, E. Nyberg, Tree Representations for Chinese Semantic Role Labeling. 2009.
Ni Lao, Read The Web (slides). 2007.
Ni Lao, Schema Extraction Model . 2007.
Ni Lao, Knowledge Acquisition From Text--A Survey (slides). 2007.
PhD thesis, 2012. Efficient Random Walk Inference with Knowledge Bases (slides). Carnegie Mellon University
Master thesis, 2006. Data Mining Problems in Automatic Computer Diagnosis. Tsinghua University
Bachelor thesis, 2003. Mining Spatial-Temporal Data Using Constructive Induction. Tsinghua University
2012, Path Ranking Algorithm A system for relational retrieval on heterogamous graphs
2012, NELL v165 NELL Knowledge graph in both triple format and PRA format
2010, yeast2 updated yeast data with extra information about Mesh heading, chemicals and affiliations etc. (321K entities and 6.1M links)
2010, fly a biological literature graph with 770K entities and 3.5M links
2010, yeast a biological literature graph with 164K entities and 2.8M links
2015: IJCAI, CIKM, NIPS, MLJ, ICML
2014: KDD, CIKM
2012: KDD, Neurocomputing Journal, SIGIR, JCST, TKDD
2011: NIPS, Transactions on Fuzzy Systems