Wei Bi
Wei Bi
Tencent AI LAB
Email verificata su tencent.com
Titolo
Citata da
Citata da
Anno
Multi-label classification on tree-and dag-structured hierarchies
W Bi, JT Kwok
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
2012011
Efficient Multi-label Classification with Many Labels
W Bi, JT Kwok
Proceedings of the 30th International Conference on Machine Learning (ICML …, 2013
1752013
Large-scale Nyström kernel matrix approximation using randomized SVD
M Li, W Bi, JT Kwok, BL Lu
IEEE transactions on neural networks and learning systems 26 (1), 152-164, 2014
862014
Multilabel Classification with Label Correlations and Missing Labels
W Bi, JT Kwok
Twenty-Eighth Conference on Artificial Intelligence, 2014
672014
Learning to Predict from Crowdsourced Data
W Bi, L Wang, JT Kwok, Z Tu
Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
412014
Mandatory leaf node prediction in hierarchical multilabel classification
W Bi, JT Kwok
IEEE transactions on neural networks and learning systems 25 (12), 2275-2287, 2014
372014
Mandatory leaf node prediction in hierarchical multilabel classification
W Bi, JT Kwok
IEEE Transactions on Neural Networks and Learning Systems 25 (12), 2275-2287, 2014
372014
Extending semi-supervised learning methods for inductive transfer learning
Y Shi, Z Lan, W Liu, W Bi
2009 Ninth IEEE international conference on data mining, 483-492, 2009
342009
Bayes-optimal hierarchical multilabel classification
W Bi, TJ Kwok
TKDE, 2015
332015
Hierarchical multilabel classification with minimum bayes risk
W Bi, JT Kwok
2012 IEEE 12th International Conference on Data Mining, 101-110, 2012
232012
Generating multiple diverse responses for short-text conversation
J Gao, W Bi, X Liu, J Li, S Shi
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6383-6390, 2019
202019
Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References
L Qiu, J Li, W Bi, D Zhao, R Yan
ACL2019, 2019
172019
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory
D Cai, Y Wang, V Bi, Z Tu, X Liu, W Lam, S Shi
NAACL2019, 2018
162018
Towards less generic responses in neural conversation models: A statistical re-weighting method
Y Liu, W Bi, J Gao, X Liu, J Yao, S Shi
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
162018
Automatic article commenting: the task and dataset
L Qin, L Liu, W Bi, Y Wang, X Liu, Z Hu, H Zhao, S Shi
ACL2018, 2018
142018
Learning to Abstract for Memory-Augmented Conversational Response Generation
Z Tian, W Bi, X Li, NL Zhang
ACL2019, 2019
122019
Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework
D Cai, Y Wang, W Bi, Z Tu, X Liu, S Shi
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
102019
A Discrete CVAE for Response Generation on Short-Text Conversation
J Gao, W Bi, X Liu, J Li, G Zhou, S Shi
EMNLP2019, 2019
102019
Transferred feature selection
W Bi, Y Shi, Z Lan
2009 IEEE International Conference on Data Mining Workshops, 416-421, 2009
92009
Fine-Grained Sentence Functions for Short-Text Conversation
W Bi, J Gao, X Liu, S Shi
ACL2019, 2019
62019
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