| 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 | 371 | 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 | 340 | 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 | 252 | 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 | 239 | 2008 |
| 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 | 213 | 2009 |
| 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 | 203 | 2014 |
| Knowledge-powered deep learning for word embedding J Bian, B Gao, TY Liu Joint European conference on machine learning and knowledge discovery in …, 2014 | 172 | 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 | 151 | 2014 |
| 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 | 119 | 2018 |
| 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 | 117 | 2014 |
| Co-learning of Word Representations and Morpheme Representations S Qiu, Q Cui, J Bian, B Gao, TY Liu COLING, 2014 | 96 | 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 | 90 | 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 | 83 | 2008 |
| Dual supervised learning Y Xia, T Qin, W Chen, J Bian, N Yu, TY Liu International Conference on Machine Learning, 3789-3798, 2017 | 79 | 2017 |
| Ranking specialization for web search: a divide-and-conquer approach by using topical ranksvm J Bian, X Li, F Li, Z Zheng, H Zha Proceedings of the 19th international conference on World wide web, 131-140, 2010 | 45 | 2010 |
| Learning what data to learn Y Fan, F Tian, T Qin, J Bian, TY Liu arXiv preprint arXiv:1702.08635, 2017 | 40 | 2017 |
| Wordrep: A benchmark for research on learning word representations B Gao, J Bian, TY Liu arXiv preprint arXiv:1407.1640, 2014 | 36 | 2014 |
| Dual transfer learning for neural machine translation with marginal distribution regularization Y Wang, Y Xia, L Zhao, J Bian, T Qin, G Liu, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 34 | 2018 |
| Hybrid generative/discriminative learning for automatic image annotation SH Yang, J Bian, H Zha arXiv preprint arXiv:1203.3530, 2012 | 32 | 2012 |
| 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 | 29 | 2019 |
Tie-Yan LiuAssistant Managing Director, Microsoft Research Asia; IEEE Fellow, ACM Distinguished MemberVerifierad e-postadress på microsoft.com
