| Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths Y Xu, L Mou, G Li, Y Chen, H Peng, Z Jin Proc. EMNLP, 1785--1794, 2015 | 275 | 2015 |
| Convolutional Neural Networks over Tree Structures for Programming Language Processing L Mou, G Li, L Zhang, T Wang, Z Jin Proc. AAAI, 1287--1293, 2016 | 202* | 2016 |
| Natural Language Inference by Tree-Based Convolution and Heuristic Matching L Mou, R Men, G Li, Y Xu, L Zhang, R Yan, Z Jin Proc. ACL 2, 130--136, 2016 | 161* | 2016 |
| How Transferable are Neural Networks in NLP Applications? L Mou, Z Meng, R Yan, G Li, Y Xu, L Zhang, Z Jin Proc. EMNLP, 231--236, 2016 | 139 | 2016 |
| Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation L Mou, Y Song, R Yan, G Li, L Zhang, Z Jin Proc. COLING, 3349--3358, 2016 | 105 | 2016 |
| Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation Y Xu, R Jia, L Mou, G Li, Y Chen, Y Lu, Z Jin Proc. COLING, 1461--1470, 2016 | 99 | 2016 |
| Discriminative Neural Sentence Modeling by Tree-Based Convolution L Mou, H Peng, G Li, Y Xu, L Zhang, Z Jin Proc. EMNLP, 2315--2325, 2015 | 94 | 2015 |
| Building Program Vector Representations for Deep Learning L Mou, G Li, Y Liu, H Peng, Z Jin, Y Xu, L Zhang arXiv preprint arXiv:1409.3358, 2014 | 78* | 2014 |
| Affective Neural Response Generation N Asghar, P Poupart, J Hoey, X Jiang, L Mou Proc. ECIR, 154--166, 2018 | 48 | 2018 |
| How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models Z Tian, R Yan, L Mou, Y Song, Y Feng, D Zhao Proc. ACL 2, 231--236, 2017 | 46 | 2017 |
| RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems C Tao, L Mou, D Zhao, R Yan Proc. AAAI, 722--729, 2018 | 33 | 2018 |
| Coupling Distributed and Symbolic Execution for Natural Language Queries L Mou, Z Lu, H Li, Z Jin Proc. ICML, 2518--2526, 2017 | 28 | 2017 |
| StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation X Li, L Mou, R Yan, M Zhang Proc. IJCAI, 2845--2851, 2016 | 27 | 2016 |
| Order-Planning Neural Text Generation From Structured Data L Sha, L Mou, T Liu, P Poupart, S Li, B Chang, Z Sui Proc. AAAI, 5414--5421, 2018 | 25 | 2018 |
| Variational Attention for Sequence-to-Sequence Models H Bahuleyan, L Mou, O Vechtomova, P Poupart Proc. COLING, 1672--1682, 2018 | 25 | 2018 |
| Modeling Past and Future for Neural Machine Translation Z Zheng, H Zhou, S Huang, L Mou, X Dai, J Chen, Z Tu TACL 6, 145--157, 2018 | 18 | 2018 |
| A Comparative Study on Regularization Strategies for Embedding-based Neural Networks H Peng, L Mou, G Li, Y Chen, Y Lu, Z Jin Proc. EMNLP, 2106--2111, 2015 | 17 | 2015 |
| Backward and Forward Language Modeling for Constrained Sentence Generation L Mou, R Yan, G Li, L Zhang, Z Jin arXiv preprint arXiv:1512.06612, 2015 | 14* | 2015 |
| On End-to-End Program Generation from User Intention by Deep Neural Networks L Mou, R Men, G Li, L Zhang, Z Jin arXiv preprint arXiv:1510.07211, 2015 | 14 | 2015 |
| Distilling Task-Specific Knowledge from BERT into Simple Neural Networks R Tang, Y Lu, L Liu, L Mou, O Vechtomova, J Lin arXiv preprint arXiv:1903.12136, 2019 | 13 | 2019 |
Zhi JinProfessor of Computer Science, Peking UniversityVerified email at pku.edu.cn
