Jiang Bian
Cited by
Cited by
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
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
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
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
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
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
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
Model complexity of deep learning: A survey
X Hu, L Chu, J Pei, W Liu, J Bian
Knowledge and Information Systems 63, 2585-2619, 2021
Knowledge-powered deep learning for word embedding
J Bian, B Gao, TY Liu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
Invertible image rescaling
M Xiao, S Zheng, C Liu, Y Wang, D He, G Ke, J Bian, Z Lin, TY Liu
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
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
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
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
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
Dual supervised learning
Y Xia, T Qin, W Chen, J Bian, N Yu, TY Liu
International conference on machine learning, 3789-3798, 2017
Self-paced ensemble for highly imbalanced massive data classification
Z Liu, W Cao, Z Gao, J Bian, H Chen, Y Chang, TY Liu
2020 IEEE 36th international conference on data engineering (ICDE), 841-852, 2020
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
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
Active learning for ranking through expected loss optimization
B Long, O Chapelle, Y Zhang, Y Chang, Z Zheng, B Tseng
Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010
Co-learning of Word Representations and Morpheme Representations
S Qiu, Q Cui, J Bian, B Gao, TY Liu
COLING, 2014
The system can't perform the operation now. Try again later.
Articles 1–20