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Research Output 2008 2018

  • 24 Conference Paper
  • 11 Article
  • 1 Encyclopaedia / Dictionary Entry
2018

Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences

Zhao, H., Rai, P., Du, L. & Buntine, W., 2018, 2018 Twenty-First International Conference on Artificial Intelligence and Statistics, AISTATS 2018 : 9-11 April 2018, Lanzarote, Canary Islands, Proceedings . Storkey, A. & Perez-Cruz, F. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 1943-1951 9 p. (Proceedings of Machine Learning Research; vol. 84).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access

Inter and intra topic structure learning with word embeddings

Zhao, H., Du, L., Buntine, W. & Zhou, M., 2018, Proceedings of Machine Learning Research: International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden. Dy, J. & Krause, A. (eds.). Stockholmsmässan Stockholm Sweden: Proceedings of Machine Learning Research (PMLR), Vol. 80. 10 p. (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Leveraging external information in topic modelling

Zhao, H., Du, L., Buntine, W. & Liu, G., 12 May 2018, (Accepted/In press) In : Knowledge and Information Systems. p. 1-33 33 p.

Research output: Contribution to journalArticleResearchpeer-review

Leveraging label category relationships in multi-class crowdsourcing

Jin, Y., Du, L., Zhu, Y. & Carman, M., 2018, Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018 Melbourne, VIC, Australia, June 3–6, 2018 Proceedings, Part II. Phung, D., Tseng, V. S., Webb, G. I., Ho, B., Ganji, M. & Rashidi, L. (eds.). Cham Switzerland: Springer, p. 128-140 13 p. (Lecture Notes in Artificial Intelligence; vol. 10938).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Two-phase linear reconstruction measure-based classification for face recognition

Gou, J., Xu, Y., Zhang, D., Mao, Q., Du, L. & Zhan, Y., 1 Apr 2018, In : Information Sciences. 433-434, p. 17-36 20 p.

Research output: Contribution to journalArticleResearchpeer-review

2017

A Word Embeddings Informed Focused Topic Model

Zhao, H., Du, L. & Buntine, W., 2017, 2017 Ninth Asian Conference on Machine Learning, ACML 2017: 15-17 November 2017, Seoul, Korea, Proceedings. Zhang, M-L. & Noh, Y-K. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 423-438 16 p. (Proceedings of Machine Learning Research; vol. 77).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Open Access

Leveraging node attributes for incomplete relational data

Zhao, H., Du, L. & Buntine, W., 6 Aug 2017, 34th International Conference on Machine Learning (ICML 2017): Sydney, Australia - 6-11 August 2017. Precup, D. & Teh, Y. W. (eds.). Stroudsburg PA USA: International Machine Learning Society (IMLS), Vol. 8. p. 6176-6185 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Leveraging node attributes for incomplete relational data

Zhao, H., Du, L. & Buntine, W., 2017, International Conference on Machine Learning, 6-11 August 2017, International Convention Centre, Sydney, Australia. Precup, D. & Teh, Y. W. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 4072-4081 10 p. (Proceedings of Machine Learning Research; vol. 70).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

MetaLDA: A topic model that efficiently incorporates meta information

Zhao, H., Du, L., Buntine, W. & Liu, G., 15 Dec 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Raghavan, V., Aluru, S., Karypis, G., Miele, L. & Wu, X. (eds.). Piscataway USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-November. p. 635-644 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Semantic-aware query processing for activity trajectories

Liu, H., Xu, J., Zheng, K., Liu, C., Du, L. & Wu, X., 2 Feb 2017, WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining: February 6–10, 2017, Cambridge, United Kingdom. Tomkins, A. & Zhang, M. (eds.). New York, New York: Association for Computing Machinery (ACM), p. 283-292 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Unsupervised text segmentation based on native language characteristics

Malmasi, S., Dras, M., Johnson, M., Du, L. & Wolska, M., 2017, ACL 2017: The 55th Annual Meeting of the Association for Computational Linguistics - Proceedings of the Conference, Vol. 1 (Long Papers). Barzilay, R. & Kan, M-Y. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 1457-1469 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2016

Data Preparation

Abdallah, Z. S., Du, L. & Webb, G. I., 2016, Encyclopedia of Machine Learning and Data Mining. Sammut, C. & Webb, G. I. (eds.). Boston, MA: Humana Press, p. 318-327 10 p.

Research output: Chapter in Book/Report/Conference proceedingEncyclopaedia / Dictionary EntryOther

Open Access

Discriminative sparsity preserving graph embedding

Gou, J., Du, L., Cheng, K. & Cai, Y., 14 Nov 2016, 2016 IEEE Congress on Evolutionary Computation (CEC 2016): Vancouver, British Columbia, Canada, 24-29 July 2016, [Proceedings]. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, p. 4250-4257 8 p. 7744330

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Nonparametric Bayesian topic modelling with the hierarchical Pitman–Yor processes

Lim, K. W., Buntine, W., Chen, C. & Du, L., 1 Nov 2016, In : International Journal of Approximate Reasoning. 78, p. 172-191 20 p.

Research output: Contribution to journalArticleResearchpeer-review

2015

A computationally efficient algorithm for learning topical collocation models

Zhao, Z., Du, L., Borschinger, B., Pate, J. K., Ciaramita, M., Steedman, M. & Johnson, M., 2015, Proceedings of the Conference Volume 1: Long Papers: The 53rd Annual Meeting of the Association for Computational Linguistics and 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing. Zong, C. & Strube, M. (eds.). Red Hook New York USA: Association for Computational Linguistics (ACL), Vol. 1. p. 1460-1469 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Differential topic models

Chen, C., Buntine, W., Ding, N., Xie, L. & Du, L., Feb 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 2, p. 230 - 242 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Improving topic models with latent feature word representations

Nguyen, D. Q., Billingsley, R., Du, L. & Johnson, M., 2015, In : Transactions of the Association for Computational Linguistics. 3, p. 299-314 16 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Topic segmentation with an ordering-based topic model

Du, L., Pate, J. K. & Johnson, M., 2015, Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence: January 25 – 30, 2015 Hyatt Regency Austin, Austin, Texas, USA. Bonet, B. & Koenig, S. (eds.). Palo Alto California USA: Association for the Advancement of Artificial Intelligence (AAAI), Vol. 3. p. 2232-2238 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Using entity information from a knowledge base to improve relation extraction

Du, L., Kumar, A., Johnson, M. & Ciaramita, M., 2015, Australasian Language Technology Association Workshop 2015: Proceedings of the Workshop. Hachey, B. & Webster, K. (eds.). Melbourne Vic Australia: Australasian Language Technology Association, p. 31-38 8 p. (Proceedings of the Australasian Language Technology Workshop; vol. 13).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File
2014

Maximum neighborhood margin discriminant projection for classification

Gou, J., Zhan, Y., Wan, M., Shen, X., Chen, J. & Du, L., 2014, In : The Scientific World Journal. 2014, p. 1 - 16 16 p., 186749.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Topic models with topic ordering regularities for topic segmentation

Du, L., Pate, J. K. & Johnson, M., 2014, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014: Shenzhen, China / 14-17 December 2014. Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 803-808 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2013

Learning social relationship strength via matrix co-factorization with multiple kernels

Zhong, Y., Du, L. & Yang, J., 2013, Web Information Systems Engineering - WISE 2013: 14th International Conference Proceedings, Part I. Lin, X., Manolopoulos, Y., Srivastava, D. & Huang, G. (eds.). Heidelberg Germany: Springer, Vol. 8180. p. 15 - 28 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Semantic title evaluation and recommendation based on topic models

Jin, H., Zhang, L. & Du, L., 2013, Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013 Proceedings, Part II. Pei, J., Tseng, V. S., Cao, L., Motoda, H. & Xu, G. (eds.). Heidelberg Germany: Springer, Vol. 7819. p. 402 - 413 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Topic Segmentation with a Structured Topic Model

Du, L., Buntine, W. L. & Johnson, M., 2013, Proceedings of NAACL-HLT 2013. Daume III, H. & Kirchoff, K. (eds.). Stroudsburg PA USA: Association for Computational Linguistics, p. 190 - 200 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2012

A local mean-based k-nearest centroid neighbor classifier

Gou, J., Yi, Z., Du, L. & Xiong, T., 2012, In : Computer Journal. 55, 9, p. 1058 - 1071 14 p.

Research output: Contribution to journalArticleResearchpeer-review

A new distance-weighted k-nearest neighbor classifier

Gou, J., Du, L., Zhang, Y. & Xiong, T., 2012, In : Journal of Information and Computational Science. 9, 6, p. 1429 - 1436 8 p.

Research output: Contribution to journalArticleResearchpeer-review

Modelling sequential text with an adaptive topic model

Du, L., Buntine, W. L. & Jin, H., 2012, 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference. Henderson, J. & Pasca, M. (eds.). Stroudsburg PA USA: Association for Computational Linguistics, p. 535 - 545 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Sequential latent Dirichlet allocation

Du, L., Buntine, W. L., Jin, H. & Chen, C., 2012, In : Knowledge and Information Systems. 31, 3, p. 475 - 503 29 p.

Research output: Contribution to journalArticleResearchpeer-review

Weighted K-nearest centroid neighbor classification

Gou, J., Du, L. & Xiong, T., 2012, In : Journal of Computational Information Systems. 8, 2, p. 851 - 860 10 p.

Research output: Contribution to journalArticleResearchpeer-review

2011

Sampling table configurations for the hierarchical poisson-dirichlet process

Chen, C., Du, L. & Buntine, W. L., 2011, European Conference on Machine Learning Knowledge Discovery in Databases (ECML PKDD 2011). Gunopulos, D., Hofmann, T., Malerba, D. & Vazirgiannis, M. (eds.). Berlin Germany: Springer-Verlag London Ltd., p. 296 - 311 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2010

A segmented topic model based on the two-parameter Poisson-Dirichlet process

Du, L., Buntine, W. L. & Jin, H., 2010, In : Machine Learning. 81, 1, p. 5 - 19 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Bayesian networks on dirichlet distributed vectors

Buntine, W. L., Du, L. & Nurmi, P., 2010, Proceedings of the Fifth European Workshop on Probabilistic Graphical Models. Myllymaki, P., Roos, T. & Jaakkola, T. (eds.). Helsinki Finland: Helsinki Institute for Information Technology, p. 33 - 40 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Sequential latent dirichlet allocation: Discover underlying topic structures within a document

Du, L., Buntine, W. L. & Jin, H., 2010, Proceedings of the 10th IEEE International Conference on Data Mining. Webb, G. I., Liu, B., Zhang, C., Gunopulos, D. & Wu, X. (eds.). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 148 - 157 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2008

A latent semantic indexing and WordNet based information retrieval model for digital forensies

Du, L., Jin, H., De Vel, O. & Liu, N., 2008, 2008 IEEE International Conference on Intelligence and Security Informatics. Yang, C. C., Chen, W-H., Hsu, W-L., Wu, T-C. & Zeng, D. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 70 - 75 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

A simple wordnet-ontology based email retrieval system for digital forensics

Son, P. T., Du, L., Jin, H., De Vel, O., Liu, N. & Caelli, T., 2008, Intelligence and Security Informatics: IEEE ISI 2008 International Workshops PAISI, PACCF and SOCO 2008 Proceedings. Yang, C. C., Chen, H., Chau, M., Chang, K., Lang, S-D., Chen, P. S., Hsieh, R., Zeng, D., Wang, F-Y., Carley, K., Mao, W. & Zhan, J. (eds.). Heidelberg Germany: Springer, Vol. 5075. p. 217 - 228 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Soil moisture prediction with feature selection using a neural network

Song, J., Wang, D., Liu, N., Cheng, L., Du, L. & Zhang, K., 2008, Proceedings - Digital Image Computing: Techniques and Applications (DICTA 2008). Frater, M., Maeder, A., Chetty, G., Shi, H. & Goecke, R. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 130 - 136 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review