Convolutional neural network architectures for matching natural language sentences B Hu, Z Lu, H Li, Q Chen Advances in neural information processing systems 27, 2014 | 1718 | 2014 |
Lcsts: A large scale chinese short text summarization dataset B Hu, Q Chen, F Zhu EMNLP2015, 2015 | 414 | 2015 |
Learning to Extract Coherent Summary via Deep Reinforcement Learning Y Wu, B Hu AAAI2018, 2018 | 207 | 2018 |
Recurrent convolutional neural network for answer selection in community question answering X Zhou, B Hu, Q Chen, X Wang Neurocomputing 274, 8-18, 2018 | 92 | 2018 |
Sentence Simplification with Memory-Augmented Neural Networks T Vu, B Hu, T Munkhdalai, H Yu NAACL2018, 2018 | 87 | 2018 |
Answer sequence learning with neural networks for answer selection in community question answering X Zhou, B Hu, Q Chen, B Tang, X Wang ACL2015, 2015 | 85 | 2015 |
Text-guided neural image inpainting L Zhang, Q Chen, B Hu, S Jiang Proceedings of the 28th ACM international conference on multimedia, 1302-1310, 2020 | 72 | 2020 |
AdaHGNN: Adaptive hypergraph neural networks for multi-label image classification X Wu, Q Chen, W Li, Y Xiao, B Hu Proceedings of the 28th ACM international conference on multimedia, 284-293, 2020 | 59 | 2020 |
Attentive capsule network for click-through rate and conversion rate prediction in online advertising D Li, B Hu, Q Chen, X Wang, Q Qi, L Wang, H Liu Knowledge-based systems 211, 106522, 2021 | 48 | 2021 |
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks Y Wu, Y Zhao, B Hu, P Minervini, P Stenetorp, S Riedel EMNLP2022, 2022 | 43 | 2022 |
Detection of bleeding events in electronic health record notes using convolutional neural network models enhanced with recurrent neural network autoencoders: deep learning approach R Li, B Hu, F Liu, W Liu, F Cunningham, DD McManus, H Yu JMIR medical informatics 7 (1), e10788, 2019 | 40 | 2019 |
Towards medical machine reading comprehension with structural knowledge and plain text D Li, B Hu, Q Chen, W Peng, A Wang Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 39 | 2020 |
A novel word embedding learning model using the dissociation between nouns and verbs B Hu, B Tang, Q Chen, L Kang Neurocomputing 171, 1108-1117, 2016 | 37 | 2016 |
Stroke sequence-dependent deep convolutional neural network for online handwritten Chinese character recognition X Liu, B Hu, Q Chen, X Wu, J You IEEE Transactions on Neural Networks and Learning Systems 31 (11), 4637-4648, 2020 | 36 | 2020 |
A comprehensive evaluation of gpt-4v on knowledge-intensive visual question answering Y Li, L Wang, B Hu, X Chen, W Zhong, C Lyu, W Wang, M Zhang arXiv preprint arXiv:2311.07536, 2023 | 33 | 2023 |
Biomedical relation extraction via knowledge-enhanced reading comprehension J Chen, B Hu, W Peng, Q Chen, B Tang BMC bioinformatics 23 (1), 20, 2022 | 33 | 2022 |
Lmeye: An interactive perception network for large language models Y Li, B Hu, X Chen, L Ma, Y Xu, M Zhang IEEE Transactions on Multimedia, 2024 | 32 | 2024 |
Context-dependent translation selection using convolutional neural network Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen ACL2015, 536–541, 2015 | 31* | 2015 |
ICRC-HIT: A deep learning based comment sequence labeling system for answer selection challenge X Zhou, B Hu, J Lin, Y Xiang, X Wang Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015 | 29 | 2015 |
A survey of large language models attribution D Li, Z Sun, X Hu, Z Liu, Z Chen, B Hu, A Wu, M Zhang arXiv preprint arXiv:2311.03731, 2023 | 28 | 2023 |