Research Repository

Browse by Author: Tian, G

Up a level
Export as [feed] Atom [feed] RSS
Group by: Item Type | No Grouping
Number of items: 8.


Gao, W, Peng, M, Wang, Hua ORCID: 0000-0002-8465-0996, Zhang, Yanchun ORCID: 0000-0002-5094-5980, Xie, Q and Tian, G (2019) Incorporating word embeddings into topic modeling of short text. Knowledge and Information Systems, 61 (2). pp. 1123-1145. ISSN 0219-1377

Peng, M, Xie, Q, Wang, Hua ORCID: 0000-0002-8465-0996, Zhang, Yanchun ORCID: 0000-0002-5094-5980 and Tian, G (2019) Bayesian sparse topical coding. IEEE Transactions on Knowledge and Data Engineering, 31 (6). pp. 1080-1093. ISSN 1041-4347

Peng, M, Zhu, J, Wang, Hua ORCID: 0000-0002-8465-0996, Li, X, Zhang, Y, Zhang, X and Tian, G (2018) Mining Event-Oriented Topics in Microblog Stream with Unsupervised Multi-View Hierarchical Embedding. ACM Transactions on Knowledge Discovery from Data, 12 (3). ISSN 1556-4681

Tian, G, Huang, J, Peng, M, Zhu, J and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2017) Dynamic sampling of text streams and its application in text analysis. Knowledge and Information Systems, 53 (2). 507 - 531. ISSN 0219-1377

Peng, M, Gao, W, Wang, Hua ORCID: 0000-0002-8465-0996, Zhang, Y, Huang, J, Xie, Q, Hu, G and Tian, G (2017) Parallelization of Massive Textstream Compression Based on Compressed Sensing. ACM Transactions on Information Systems, 36 (2). ISSN 1046-8188

Peng, M, Zeng, G, Sun, Z, Huang, J, Wang, Hua ORCID: 0000-0002-8465-0996 and Tian, G (2017) Personalized app recommendation based on app permissions. World Wide Web. ISSN 1386-145X

Conference or Workshop Item

Peng, M, Xie, Q, Zhang, Yanchun ORCID: 0000-0002-5094-5980, Wang, Hua ORCID: 0000-0002-8465-0996, Zhang, X, Huang, J and Tian, G (2018) Neural Sparse Topical Coding. In: 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), 15 Jul 2018 - 20 Jul 2018, Melbourne, Australia.

Peng, M, Huang, J, Sun, Z, Wang, S, Wang, Hua ORCID: 0000-0002-8465-0996, Zhuo, G and Tian, G (2016) Improving distant supervision of relation extraction with unsupervised methods. In: International Conference on Web Information Systems Engineering (WISE 2016), 08 November 2016-10 November 2016, Shanghai.