| Finding the right facts in the crowd: factoid question answering over social media J Bian, Y Liu, E Agichtein, H Zha Proceedings of the 17th international conference on World Wide Web, 467-476, 2008 | 378 | 2008 |
| Predicting information seeker satisfaction in community question answering Y Liu, J Bian, E Agichtein Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 359 | 2008 |
| Sequential click prediction for sponsored search with recurrent neural networks Y Zhang, H Dai, C Xu, J Feng, T Wang, J Bian, B Wang, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 316 | 2014 |
| Exploring social annotations for information retrieval D Zhou, J Bian, S Zheng, H Zha, CL Giles Proceedings of the 17th international conference on World Wide Web, 715-724, 2008 | 245 | 2008 |
| Rc-net: A general framework for incorporating knowledge into word representations C Xu, Y Bai, J Bian, B Gao, G Wang, X Liu, TY Liu Proceedings of the 23rd ACM international conference on conference on …, 2014 | 231 | 2014 |
| Learning to recognize reliable users and content in social media with coupled mutual reinforcement J Bian, Y Liu, D Zhou, E Agichtein, H Zha Proceedings of the 18th international conference on World wide web, 51-60, 2009 | 219 | 2009 |
| Listening to chaotic whispers: A deep learning framework for news-oriented stock trend prediction Z Hu, W Liu, J Bian, X Liu, TY Liu Proceedings of the eleventh ACM international conference on web search and …, 2018 | 216 | 2018 |
| Knowledge-powered deep learning for word embedding J Bian, B Gao, TY Liu Joint European conference on machine learning and knowledge discovery in …, 2014 | 197 | 2014 |
| A probabilistic model for learning multi-prototype word embeddings F Tian, H Dai, J Bian, B Gao, R Zhang, E Chen, TY Liu Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 166 | 2014 |
| Active learning for ranking through expected loss optimization B Long, J Bian, O Chapelle, Y Zhang, Y Inagaki, Y Chang IEEE transactions on knowledge and data engineering 27 (5), 1180-1191, 2014 | 131 | 2014 |
| Dual supervised learning Y Xia, T Qin, W Chen, J Bian, N Yu, TY Liu International conference on machine learning, 3789-3798, 2017 | 127 | 2017 |
| Deep subdomain adaptation network for image classification Y Zhu, F Zhuang, J Wang, G Ke, J Chen, J Bian, H Xiong, Q He IEEE transactions on neural networks and learning systems 32 (4), 1713-1722, 2020 | 126 | 2020 |
| Co-learning of Word Representations and Morpheme Representations S Qiu, Q Cui, J Bian, B Gao, TY Liu COLING, 2014 | 107 | 2014 |
| Modeling information-seeker satisfaction in community question answering E Agichtein, Y Liu, J Bian ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (2), 1-27, 2009 | 93 | 2009 |
| A few bad votes too many? towards robust ranking in social media J Bian, Y Liu, E Agichtein, H Zha Proceedings of the 4th international workshop on Adversarial information …, 2008 | 86 | 2008 |
| Invertible image rescaling M Xiao, S Zheng, C Liu, Y Wang, D He, G Ke, J Bian, Z Lin, TY Liu European Conference on Computer Vision, 126-144, 2020 | 68 | 2020 |
| DeepGBM: A deep learning framework distilled by GBDT for online prediction tasks G Ke, Z Xu, J Zhang, J Bian, TY Liu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 64 | 2019 |
| Doc2EDAG: An end-to-end document-level framework for Chinese financial event extraction S Zheng, W Cao, W Xu, J Bian arXiv preprint arXiv:1904.07535, 2019 | 61 | 2019 |
| Fully parameterized quantile function for distributional reinforcement learning D Yang, L Zhao, Z Lin, T Qin, J Bian, TY Liu Advances in neural information processing systems 32, 2019 | 57 | 2019 |
| Learning what data to learn Y Fan, F Tian, T Qin, J Bian, TY Liu arXiv preprint arXiv:1702.08635, 2017 | 55 | 2017 |
Tie-Yan LiuDistinguished Scientist, Microsoft | Assistant Managing Director, MSRA | IEEE Fellow | ACM FellowVerified email at microsoft.com
