Tianyi Lin

2019

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Sparsemax and Relaxed Wasserstein for Topic Sparsity.
Tianyi Lin|Zhiyue Hu|Xin Guo
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

2016

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Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference.
Tianyi Lin|Siyuan Zhang|Hong Cheng
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

2014

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Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups.
Yinqing Xu|Wai Lam|Tianyi Lin
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014
doi dblp
Latent Aspect Mining via Exploring Sparsity and Intrinsic Information.
Yinqing Xu|Tianyi Lin|Wai Lam|Zirui Zhou|Hong Cheng|Anthony Man-Cho So
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014
doi dblp
The dual-sparse topic model: mining focused topics and focused terms in short text.
Tianyi Lin|Wentao Tian|Qiaozhu Mei|Hong Cheng
23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014