Publications-PrMIR

Probabilistic Modeling and Information Retrieval Group

Only papers written in English are listed below.

2019

[Refereed journals / International conferences]

  • Shohei Sakamoto and Koji Eguchi, “Sequential Monte Carlo Inference Based on Activities for Overlapping Community Models”, Behavioral Analytics in Social and Ubiquitous Environments, Lecture Notes in Computer Science, Vol.11406, Springer Nature (to appear).
  • Jianfei Xue and Koji Eguchi, “Supervised Nonparametric Multimodal Topic Models for Multi-class Video Classification” (invited and reviewed), ITE Transactions on Media Technology and Applications, Vol.7, No.2, pp.80-91 (Apr. 2019).
  • Kohei Yamamoto, Koji Eguchi, and Atsuhiro Takasu, “Hierarchical Topic Models for Expanding Category Hierarchies”, Proceedings of the 2019 IEEE International Conference on Big Data and Smart Computing (BigComp 2019), Kyoto, Japan, pp.242-249 (Mar. 2019).

2018

[Refereed journals / International conferences]

  • Jianfei Xue and Koji Eguchi, “Sequential Bayesian Nonparametric Multimodal Topic Models for Video Data Analysis”, IEICE Transactions on Information and Systems, Vol.E101-D, No.4, pp.1079-1087 (Apr. 2018).
  • Jianfei Xue and Koji Eguchi, “Supervised Nonparametric Multimodal Topic Modeling Methods for Multi-class Video Classification”, The 8th ACM International Conference on Multimedia Retrieval (ICMR 2018), Yokohama, Japan, pp.370-378 (Jun. 2018).

2017

[Refereed journals / International conferences]

  • Yosuke Sakata and Koji Eguchi, “Relation Prediction in Multillingual Data based on Multimodal Relational Topic Models”, IEICE Transactions on Information and Systems, Vol.E100-D, No.4, pp.741-749 (Apr. 2017).
  • Jianfei Xue and Koji Eguchi, “Video Data Modeling using Sequential Correspondence Hierarchical Dirichlet Processes”, IEICE Transactions on Information and Systems, Vol.E100-D, No.1, pp.33-41 (Jan. 2017).
  • Shotaro Ito and Koji Eguchi, “Time Dependent Analysis of Financial Networks using Supervised Latent Feature Relational Models”, The 2nd International Workshop on Application of Big Data for Computational Social Science 2017, Boston, Massachusetts, USA (Dec. 2017).
  • Shohei Umehara and Koji Eguchi, “Predicting Users’ Search Behavior using Stochastic Multi-mode Network Models”, IEEE ICDM 2017 Workshop on Data Mining in Networks, New Orleans, Louisiana, USA (Nov. 2017).
  • Jianfei Xue, Zhaojie Luo, Koji Eguchi, Tetsuya Takiguchi, and Tsukasa Omoto, “A Bayesian Nonparametric Multimodal Data Modeling Framework for Video Emotion Recognition”, Proceedings of the 2017 IEEE International Conference on Multimedia and Expo (ICME 2017), pp.601-606, Hong Kong (Jul. 2017).
  • Shohei Sakamoto and Koji Eguchi, “Particle Filter Inference based on Activities for Overlapping Community Models”, Proceedings of the 8th International Workshop on Modeling Social Media: Machine Learning and AI for Modeling and Analyzing Social Media, pp.1499-1504, Perth, Australia (Apr. 2017).

2016

[Refereed journals / International conferences]

  • Takuji Shimamawari, Koji Eguchi, and Atsuhiro Takasu, “Bayesian Non-parametric Inference of Multimodal Topic Hierarchies”, Journal of Information Processing, Vol.24, No.2, pp.407-415 (Mar. 2016).
  • Jianfei Xue and Koji Eguchi, “Sequential Symmetric Correspondence Hierarchical Dirichlet Processes for Video Data Analysis”, NIPS 2016 Workshop on Practical Bayesian Nonparametrics, Barcelona, Spain (Dec. 2016).
  • Jianfei Xue and Koji Eguchi, “Sequential Correspondence Hierarchical Dirichlet Processes for Video Data Analysis”, Proceedings of the 6th ACM International Conference on Multimedia Retrieval (ICMR 2016), pp.229-233, New York City, New York, USA (Jun. 2016).

2015

[Refereed journals / International conferences]

  • Takuji Shimamawari, Koji Eguchi, and Atsuhiro Takasu, “Bayesian Nonparametric Inference of Latent Topic Hierarchies for Multimodal Data”, Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition (ACPR2015), pp.236-240, Kuala Lumpur, Malaysia (Nov. 2015).

2014

[Refereed journals / International conferences]

  • Yang Xie and Koji Eguchi, “Multimedia Topic Models Considering Burstiness of Local Features”, IEICE Transactions on Information and Systems, Vol.E97-D, No. 4, pp.714-720 (Apr. 2014).
  • Tomoki Kobayashi and Koji Eguchi, “Online Inference of Mixed Membership Stochastic Blockmodels for Network Data Streams”, IEICE Transactions on Information and Systems, Vol.E97-D, No.4, pp.752-761 (Apr. 2014).
  • Tsukasa Omoto, Koji Eguchi, and Shotaro Tora, “Hybrid Parallel Inference for Hierarchical Dirichlet Processes”, IEICE Transactions on Information and Systems, Vol.E97-D, No.4, pp.815-820 (Apr. 2014).

2013

[Refereed journals / International conferences]

  • Shotaro Tora and Koji Eguchi, “MPI/OpenMP Hybrid Parallel Inference Methods for Latent Dirichlet Allocation: Approximation and Evaluation”, IEICE Transactions on Information and Systems, Vol.E96-D, No.5, pp.1006-1015 (May 2013).
  • Tomoki Kobayashi and Koji Eguchi, “Sequential Monte Carlo Inference of Mixed Membership Stochastic Blockmodels for Dynamic Social Networks”, NIPS 2013 Workshop on Frontiers of Network Analysis: Methods, Models, and Applications, Lake Tahoe, Nevada, USA (Dec. 2013).
  • Tsukasa Omoto, Koji Eguchi, and Shotaro Tora, “Hybrid Parallel Inference for Hierarchical Dirichlet Process”, ICML 2013 workshop on Inferning: Interactions between Inference and Learning, Atlanta, Georgia, USA (Jun. 2013).

2012

[Refereed journals / International conferences]

  • Kosuke Fukumasu, Koji Eguchi, and Eric P. Xing, “Symmetric Correspondence Topic Models for Multilingual Text Analysis”, Advances in Neural Information Processing Systems 25 (NIPS 2012), pp.1295-1303 (Dec. 2012). Spotlight.
  • Shinya Naito and Koji Eguchi, “Robust Recommendations using Regularized Link Analysis of Browsing Behavior Graphs”, Social Computing, Behavioral-Cultural Modeling and Prediction: 5th International Conference, SBP 2012, College Park, MD, USA, Lecture Notes in Computer Science, Vol.7227, pp.339-347, Springer, Berlin and Heidelberg, Germany (Apr. 2012).

2011

[Refereed journals / International conferences]

  • Shotaro Tora and Koji Eguchi, “MPI/OpenMP Hybrid Parallel Inference for Latent Dirichlet Allocation”, Proceedings of the 3rd Workshop on Large Scale Data Mining: Theory and Applications, pp.1-7, San Diego, California, USA (Aug. 2011).

2010

[Refereed journals / International conferences]

  • Akira Ninagawa and Koji Eguchi, ”Link Prediction using Probabilistic Group Models of Network Structure”, Proceedings of the 25th Annual ACM Symposium on Applied Computing (SAC 2010), Sierre, Switzerland, Vol.2, pp.1115-1116 (Mar. 2010).

2009

[Refereed journals / International conferences]

  • Koji Eguchi and W. Bruce Croft, “Query Structuring and Expansion with Two-stage Term Dependence for Japanese Web Retrieval”, Information Retrieval, Springer Netherlands, Vol.12, No.3, pp.251-274, Springer Netherlands (Jun. 2009).
  • Tatsuya Aso and Koji Eguchi, “Predicting Protein-Protein Relationships from Literature using Latent Topics”, Genome Informatics 2009: Proceedings of the 20th International Conference (GIW 2009), Genome Informatics Series, Vol.23, Imperial College Press, London, UK, pp.3-12 (Dec. 2009).
  • Takayoshi Okamoto, Tetsuya Honda, and Koji Eguchi, “Locally Contextualized Smoothing of Language Models for Sentiment Sentence Retrieval”, Proceeding of the 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion Measurement (TSA 2009), Hong Kong, China, pp.73-80 (Nov. 2009).

2008

[Refereed journals / International conferences]

  • Chirag Shah and Koji Eguchi, “Improving Document Representation for Story Link Detection by Modeling Term Topicality”, IPSJ Transactions on Databases, Vol.1, No.3, pp.11-19 (Dec. 2008).
  • Hitohiro Shiozaki, Koji Eguchi, and Takenao Ohkawa, “Entity Network Prediction using Multitype Topic Models”, IEICE Transactions on Information and Systems, Vol.E91-D, No.11, pp.2589-2598 (Nov. 2008).
  • Akira Ninagawa and Koji Eguchi, “Link Prediction in Metabolic Networks using Topology-based Mixture Models”, CD-ROM Proceedings of the 19th International Conference on Genome Informatics (GIW-2008), Gold Coast, Australia, 2p. (Dec. 2008).
  • Tetsuya Shibata and Koji Eguchi, “Automatic Query Structuring from Sentences for Japanese Web Retrieval”, Proceedings of the 2nd ACM Workshop on Improving Non-English Web Searching, Napa Valley, California, USA, pp.55-62 (Oct. 2008).
  • Tatsuya Asou and Koji Eguchi, “Predicting Protein-Protein Relationships from Literature using Collapsed Variational Latent Dirichlet Allocation”, Proceedings of the 2nd International Workshop on Data and Text Mining in Bioinformatics, Napa Valley, California, USA, pp.77-80 (Oct. 2008).
  • Hitohiro Shiozaki and Koji Eguchi, “Entity Ranking from Annotated Text Collections using Multitype Topic Models”, Focused Access to XML Documents: 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007, Dagstuhl Castle, Germany, Lecture Notes in Computer Science, Vol.4862, pp.279-292, Springer, Berlin and Heidelberg, Germany (Aug. 2008).
  • Hitohiro Shiozaki, Koji Eguchi, and Takenao Ohkawa, “Entity Network Prediction using Multitype Topic Models”, Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, Lecture Notes in Computer Science, Vol.5012, pp.705-714, Springer, Berlin and Heidelberg, Germany (May 2008).

2007

[Refereed journals / International conferences]

  • Hitohiro Shiozaki, Koji Eguchi, and Takenao Ohkawa, “Multi-Entity-Topic Models with Who-entities and Where-entities”, Proceedings of the International Workshop on Data-Mining and Statistical Science (DMSS2007), Tokyo, Japan, pp.165-178 (Oct. 2007).
  • Chirag Shah and Koji Eguchi, “Use of Topicality and Information Measures to Improve Document Representation for Story Link Detection”, Advances in Information Retrieval: 29th European Conference on IR Research, ECIR 2007, Rome, Italy, Lecture Notes in Computer Science, Vol.4425, pp.393-404, Springer, Berlin and Heidelberg, Germany (Apr. 2007).
  • Ron Bekkerman, Hema Raghavan, James Allan, and Koji Eguchi, “Interactive Clustering of Text Collections According to a User-Specified Criterion”, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, pp.684-689 (Jan. 2007).

2006

[Refereed journals / International conferences]

  • Koji Eguchi and W. Bruce Croft, “Boosting Relevance Model Performance with Query Term Dependence”, Proceedings of the 15th ACM Conference on Information and Knowledge Management (CIKM 2006), Arlington, Virginia, USA, pp.792-793 (Nov. 2006).
  • Koji Eguchi and W. Bruce Croft, “Query Structuring with Two-stage Term Dependence in the Japanese Language”, Information Retrieval Technology: Third Asia Information Retrieval Symposium, AIRS 2006, Singapore, Lecture Notes in Computer Science, Vol.4182, pp.522-529, Springer, Berlin and Heidelberg, Germany (Oct. 2006).
  • Koji Eguchi and Victor Lavrenko, “Sentiment Retrieval using Generative Models”, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), Sydney, Australia, pp.345-354 (Jul 2006).