2019

doi dblp
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

doi dblp
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

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
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
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

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