Tweet modeling with LSTM recurrent neural networks for hashtag recommendation J Li, H Xu, X He, J Deng, X Sun 2016 International Joint Conference on Neural Networks (IJCNN), 1570-1577, 2016 | 93 | 2016 |
Suggest what to tag: Recommending more precise hashtags based on users’ dynamic interests and streaming tweet content J Li, H Xu Knowledge-based systems 106, 196-205, 2016 | 33 | 2016 |
FastBTM: Reducing the sampling time for biterm topic model X He, H Xu, J Li, L He, L Yu Knowledge-Based Systems 132, 11-20, 2017 | 24 | 2017 |
Hyperbolic linear units for deep convolutional neural networks J Li, H Xu, J Deng, X Sun 2016 International Joint Conference on Neural Networks (IJCNN), 353-359, 2016 | 11 | 2016 |
User-ibtm: An online framework for hashtag suggestion in twitter J Li, H Xu Web-Age Information Management: 17th International Conference, WAIM 2016 …, 2016 | 5 | 2016 |
Optimize collapsed Gibbs sampling for biterm topic model by alias method X He, H Xu, X Sun, J Deng, X Bai, J Li 2017 International Joint Conference on Neural Networks (IJCNN), 1155-1162, 2017 | 3 | 2017 |