Jiang Bian
Jiang Bian
Principal Researcher, Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
3592008
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
3282008
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
2332008
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
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2142014
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
2052009
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
1812014
Knowledge-powered deep learning for word embedding
J Bian, B Gao, TY Liu
Joint European conference on machine learning and knowledge discovery in …, 2014
1482014
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
1382014
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
1132014
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
862009
Co-learning of Word Representations and Morpheme Representations
S Qiu, Q Cui, J Bian, B Gao, TY Liu
COLING, 2014
852014
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
802008
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
772018
Dual supervised learning
Y Xia, T Qin, W Chen, J Bian, N Yu, TY Liu
arXiv preprint arXiv:1707.00415, 2017
632017
Learning what data to learn
Y Fan, F Tian, T Qin, J Bian, TY Liu
arXiv preprint arXiv:1702.08635, 2017
43*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
432010
Wordrep: A benchmark for research on learning word representations
B Gao, J Bian, TY Liu
arXiv preprint arXiv:1407.1640, 2014
322014
Hybrid generative/discriminative learning for automatic image annotation
SH Yang, J Bian, H Zha
arXiv preprint arXiv:1203.3530, 2012
312012
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
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
262018
Solving verbal comprehension questions in iq test by knowledge-powered word embedding
H Wang, F Tian, B Gao, J Bian, TY Liu
arXiv preprint arXiv:1505.07909, 2015
252015
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