Luo Si

Krisztian Balog, Yi Fang, Maarten de Rijke, Pavel Serdyukov, Luo Si: Expertise Retrieval. Foundations and Trends in Information Retrieval 6(2-3): 127-256 (2012)

Dan Zhang, Luo Si, Vernon Rego: Sentiment detection with auxiliary data. Inf. Retr. 15(3-4): 373-390 (2012)

Suleyman Cetintas, Luo Si: Effective query generation and postprocessing strategies for prior art patent search. JASIST 63(3): 512-527 (2012)

Balamurugan Anandan, Chris Clifton, Wei Jiang, Mummoorthy Murugesan, Pedro Pastrana-Camacho, Luo Si: t-Plausibility: Generalizing Words to Desensitize Text. Transactions on Data Privacy 5(3): 505-534 (2012)

Yi Fang, Luo Si: A latent pairwise preference learning approach for recommendation from implicit feedback. CIKM 2012: 2567-2570

Qifan Wang, Luo Si, Dan Zhang: A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification. ECCV (4) 2012: 660-673

Stephen Cooper, Yoon Jae Nam, Luo Si: Initial results of using an intelligent tutoring system with Alice. ITiCSE 2012: 138-143

Dzung Hong, Luo Si: Mixture model with multiple centralized retrieval algorithms for result merging in federated search. SIGIR 2012: 821-830

Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan: Emotion tagging for comments of online news by meta classification with heterogeneous information sources. SIGIR 2012: 1059-1060

Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu: Mining contrastive opinions on political texts using cross-perspective topic model. WSDM 2012: 63-72

Bin Shen, Luo Si, Rongrong Ji, Bao-Di Liu: Robust Nonnegative Matrix Factorization via $L_1$ Norm Regularization. CoRR abs/1204.2311 (2012)

Rong Jin, Luo Si: A Bayesian Approach toward Active Learning for Collaborative Filtering. CoRR abs/1207.4146 (2012)

Rong Jin, Luo Si, ChengXiang Zhai: Preference-based Graphic Models for Collaborative Filtering. CoRR abs/1212.2478 (2012)

Milad Shokouhi, Luo Si: Federated Search. Foundations and Trends in Information Retrieval 5(1): 1-102 (2011)

Yi Fang, Luo Si, Aditya P. Mathur: Discriminative probabilistic models for expert search in heterogeneous information sources. Inf. Retr. 14(2): 158-177 (2011)

Suleyman Cetintas, Luo Si, Hans Aagard, Kyle Bowen, Mariheida Cordova-Sanchez: Microblogging in a Classroom: Classifying Students' Relevant and Irrelevant Questions in a Microblogging-Supported Classroom. TLT 4(4): 292-300 (2011)

Dan Zhang, Fei Wang, Luo Si, Tao Li: Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering. IEEE Transactions on Neural Networks 22(5): 739-751 (2011)

Qifan Wang, Luo Si: A robust one-class bayesian approach for masquerade detection. AISec 2011: 111-112

Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence: Multi-view transfer learning with a large margin approach. KDD 2011: 1208-1216

Dan Zhang, Yan Liu, Luo Si: Serendipitous learning: learning beyond the predefined label space. KDD 2011: 1343-1351

Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence: Multiple Instance Learning on Structured Data. NIPS 2011: 145-153

Dan Zhang, Fei Wang, Luo Si: Composite hashing with multiple information sources. SIGIR 2011: 225-234

Dan Zhang, Jingdong Wang, Luo Si: Document clustering with universum. SIGIR 2011: 873-882

Chuan He, Dzung Hong, Luo Si: A weighted curve fitting method for result merging in federated search. SIGIR 2011: 1177-1178

Yi Fang, Naveen Somasundaram, Luo Si, Jeongwoo Ko, Aditya P. Mathur: Analysis of an expert search query log. SIGIR 2011: 1189-1190

Suleyman Cetintas, Monica Rogati, Luo Si, Yi Fang: Identifying similar people in professional social networks with discriminative probabilistic models. SIGIR 2011: 1209-1210

Suleyman Cetintas, Datong Chen, Luo Si, Bin Shen, Zhanibek Datbayev: Forecasting counts of user visits for online display advertising with probabilistic latent class models. SIGIR 2011: 1217-1218

Luo Si, Rong Jin: Machine learning for information retrieval. SIGIR 2011: 1293-1294

Dzung Hong, Qifan Wang, Dan Zhang, Luo Si: Query Expansion and Message-Passing Algorithms for TREC Microblog Track. TREC 2011

Jeongwoo Ko, Luo Si, Eric Nyberg: Combining evidence with a probabilistic framework for answer ranking and answer merging in question answering. Inf. Process. Manage. 46(5): 541-554 (2010)

Yi Fang, Luo Si, Aditya P. Mathur: Discriminative graphical models for faculty homepage discovery. Inf. Retr. 13(6): 618-635 (2010)

Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord: Automatic Detection of Off-Task Behaviors in Intelligent Tutoring Systems with Machine Learning Techniques. TLT 3(3): 228-236 (2010)

Jeongwoo Ko, Luo Si, Eric Nyberg, Teruko Mitamura: Probabilistic models for answer-ranking in multilingual question-answering. ACM Trans. Inf. Syst. 28(3) (2010)

Mummoorthy Murugesan, Wei Jiang, Chris Clifton, Luo Si, Jaideep Vaidya: Efficient privacy-preserving similar document detection. VLDB J. 19(4): 457-475 (2010)

Bin Shen, Luo Si: Non-Negative Matrix Factorization Clustering on Multiple Manifolds. AAAI 2010

Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord: Predicting Correctness of Problem Solving in ITS with a Temporal Collaborative Filtering Approach. Intelligent Tutoring Systems (1) 2010: 15-24

Suleyman Cetintas, Luo Si, Sugato Chakravarty, Hans Aagard, Kyle Bowen: Learning to Identify Students' Relevant and Irrelevant Questions in a Micro-blogging Supported Classroom. Intelligent Tutoring Systems (2) 2010: 281-284

Dzung Hong, Luo Si, Paul Bracke, Michael Witt, Tim Juchcinski: A joint probabilistic classification model for resource selection. SIGIR 2010: 98-105

Yi Fang, Luo Si, Aditya P. Mathur: Discriminative models of integrating document evidence and document-candidate associations for expert search. SIGIR 2010: 683-690

Yi Fang, Luo Si, Naveen Somasundaram, Salman Al-Ansari, Zhengtao Yu, Yantuan Xian: Purdue at TREC 2010 Entity Track: A Probabilistic Framework for Matching Types Between Candidate and Target Entities. TREC 2010

Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord, Dake Zhang: Learning to Identify Students' Off-Task Behavior in Intelligent Tutoring Systems. AIED 2009: 701-703

Suleyman Cetintas, Luo Si, Hao Yuan: Learning from past queries for resource selection. CIKM 2009: 1867-1870

Wei Jiang, Mummoorthy Murugesan, Chris Clifton, Luo Si: t-Plausibility: Semantic Preserving Text Sanitization. CSE (3) 2009: 68-75

Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord: Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems. EDM 2009: 230-239

Suleyman Cetintas, Luo Si, Yan Ping Xin, Dake Zhang, Joo Young Park: Automatic Text Categorization of Mathematical Word Problems. FLAIRS Conference 2009

Dan Zhang, Luo Si: Multiple Instance Transfer Learning. ICDM Workshops 2009: 406-411

Dan Zhang, Fei Wang, Luo Si, Tao Li: M3IC: Maximum Margin Multiple Instance Clustering. IJCAI 2009: 1339-1344

Dan Zhang, Luo Si: Modeling search response time. SIGIR 2009: 730-731

Suleyman Cetintas, Luo Si: Strategies for Effective Chemical Information Retrieval. TREC 2009

Yi Fang, Luo Si, Zhengtao Yu, Yantuan Xian, Yangbo Xu: Entity Retrieval with Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers. TREC 2009

Rong Jin, Luo Si, Christina Chan: A Bayesian framework for knowledge driven regression model in micro-array data analysis. IJDMB 2(3): 250-267 (2008)

Luo Si, Jamie Callan, Suleyman Cetintas, Hao Yuan: An effective and efficient results merging strategy for multilingual information retrieval in federated search environments. Inf. Retr. 11(1): 1-24 (2008)

Luo Si, Danni Yu, Daisuke Kihara, Yi Fang: Combining gene sequence similarity and textual information for gene function annotation in the literature. Inf. Retr. 11(5): 389-404 (2008)

Wei Jiang, Mummoorthy Murugesan, Chris Clifton, Luo Si: Similar Document Detection with Limited Information Disclosure. ICDE 2008: 735-743

Mengqiu Wang, Luo Si: Discriminative probabilistic models for passage based retrieval. SIGIR 2008: 419-426

Luo Si: Federated search of text search engines in uncooperative environments. SIGIR Forum 41(1): 120 (2007)

Jeongwoo Ko, Luo Si, Eric Nyberg: A Probabilistic Framework for Answer Selection in Question Answering. HLT-NAACL 2007: 524-531

Jeongwoo Ko, Eric Nyberg, Luo Si: A probabilistic graphical model for joint answer ranking in question answering. SIGIR 2007: 343-350

Suleyman Cetintas, Luo Si: Exploration of the tradeoff between effectiveness and efficiency for results merging in federated search. SIGIR 2007: 707-708

Wei Jiang, Luo Si, Jing Li: Protecting source privacy in federated search. SIGIR 2007: 761-762

Rong Jin, Luo Si, Chengxiang Zhai: A study of mixture models for collaborative filtering. Inf. Retr. 9(3): 357-382 (2006)

Thi Truong Avrahami, Lawrence Yau, Luo Si, James P. Callan: The FedLemur project: Federated search in the real world. JASIST 57(3): 347-358 (2006)

Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu: Collaborative image retrieval via regularized metric learning. Multimedia Syst. 12(1): 34-44 (2006)

Luo Si, Jie Lu, Jamie Callan: Combining Multiple Resources, Evidences and Criteria for Genomic Information Retrieval. TREC 2006

Hui Yang, Jamie Callan, Luo Si: Knowledge Transfer and Opinion Detection in the TREC 2006 Blog Track. TREC 2006

Luo Si, Jamie Callan: CLEF 2005: Multilingual Retrieval by Combining Multiple Multilingual Ranked Lists. CLEF 2005: 121-130

Rong Jin, Joyce Y. Chai, Luo Si: Learn to weight terms in information retrieval using category information. ICML 2005: 353-360

Luo Si, Rong Jin: Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis. PAKDD 2005: 622-631

Luo Si, Jamie Callan: Modeling search engine effectiveness for federated search. SIGIR 2005: 83-90

Xiangji Huang, Ming Zhong, Luo Si: York University at TREC 2005: Genomics Track. TREC 2005

Luo Si, Tapas Kanungo: Thresholding Strategies for Text Classifiers: TREC 2005 Biomedical Triage Task Experiments. TREC 2005

Luo Si, James P. Callan: Unified utility maximization framework for resource selection. CIKM 2004: 32-41

Luo Si, Rong Jin: Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model. CIKM 2004: 156-157

Rong Jin, Joyce Y. Chai, Luo Si: Effective automatic image annotation via a coherent language model and active learning. ACM Multimedia 2004: 892-899

Rong Jin, Joyce Y. Chai, Luo Si: An automatic weighting scheme for collaborative filtering. SIGIR 2004: 337-344

Jesse Montgomery, Luo Si, Jamie Callan, David A. Evans: Effect of varying number of documents in blind feedback: analysis of the 2003 NRRC RIA workshop "bf_numdocs" experiment suite. SIGIR 2004: 476-477

Rong Jin, Luo Si: A study of methods for normalizing user ratings in collaborative filtering. SIGIR 2004: 568-569

Rong Jin, Luo Si: A Bayesian Approach toward Active Learning for Collaborative Filtering. UAI 2004: 278-285

Luo Si, Jamie Callan: A semisupervised learning method to merge search engine results. ACM Trans. Inf. Syst. 21(4): 457-491 (2003)

Rong Jin, Luo Si, ChengXiang Zhai, James P. Callan: Collaborative filtering with decoupled models for preferences and ratings. CIKM 2003: 309-316

Luo Si, Rong Jin: Flexible Mixture Model for Collaborative Filtering. ICML 2003: 704-711

Luo Si, Jamie Callan: The Effect of Database Size Distribution on Resource Selection Algorithms. Distributed Multimedia Information Retrieval 2003: 31-42

Luo Si, James P. Callan: Relevant document distribution estimation method for resource selection. SIGIR 2003: 298-305

Rong Jin, Luo Si, ChengXiang Zhai: Preference-based Graphic Models for Collaborative Filtering. UAI 2003: 329-336

Luo Si, Rong Jin, James P. Callan, Paul Ogilvie: A language modeling framework for resource selection and results merging. CIKM 2002: 391-397

Luo Si, James P. Callan: Using sampled data and regression to merge search engine results. SIGIR 2002: 19-26

Rong Jin, Luo Si, Alexander G. Hauptmann, James P. Callan: Language model for IR using collection information. SIGIR 2002: 419-420

Luo Si, James P. Callan: A Statistical Model for Scientific Readability. CIKM 2001: 574-576

Luo Si, Qixiu Hu: Two-stage speaker identification system based on VQ and NBDGMM. INTERSPEECH 2000: 282-285

Qin Jin, Luo Si, Qixiu Hu: A high-performance text-independent speaker identification system based on BCDM. ICSLP 1998