Publications by Jin, Zhi
In Conference (refereed)
| 1. | L. Mou, Z. Lu, H. Li, Z. Jin. "Coupling Distributed and Symbolic Execution for Natural Language Queries". International Conference on Machine Learning (ICML), pp 2518-2526, July 2018.   |
| 2. | Y. Chen, L. Mou, Y. Xu, G. Li, Z. Jin. "Compressing Neural Language Models by Sparse Word Representations". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 226–235, August 2016. |
| 3. | L. Mou, R. Men, G. Li, Y. Xu, L. Zhang, R. Yan, Z. Jin. "Natural Language Inference by Tree-Based Convolution and Heuristic Matching". International Conference on Computational Linguistics and the Association for Computational Linguist, pp 130–136, August 2016. |
| 4. | L. Mou, Y. Song, R. Yan, G. Li, L. Zhang, Z. Jin. "Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation". Conference on Computational Linguistics (COLING), pp 3349–3358, February 2016. |
| 5. | H. Peng, L. Mou, G. Li, Y. Liu, Z. Jin, Y. Xu, L. Zhang. "Building Program Vector Representations for Deep Learning". International Conference on Knowledge Science, Engineering and Management, (ed: Songmao Zhang, Martin Wirsing, Zili Zhang ), pp 547-553, October 2015. |
| 6. | H. Peng, L. Mou, G. Li, Y. Chen, Y. Lu, Z. Jin. "A Comparative Study on Regularization Strategies for Embedding-based Neural Networks". EMNLP - Conference on Empirical Methods in Natural Language Processing, pp 2106–2111, September 2015. |
| 7. | L. Mou, H. Peng, G. Li, Y. Xu, L. Zhang, Z. Jin. "Discriminative Neural Sentence Modeling by Tree-Based Convolution". EMNLP - Conference on Empirical Methods in Natural Language Processing, pp 2315–2325, September 2015. |
| 8. | Y. Hao, G. Li, L. Mou, L. Zhang, Z. Jin. "MCT: A tool for commenting programs by multimedia comments". International Conference on Software Engineering (ICSE), pp 1330–1442, May 2013. |
| 9. | L. Mou, G. Li, Z. Jin. "Domain hyponymy hierarchy discovery by iterative Web searching and inferable semantics based concept selecting". Annual Computer Software and Applications Conference, January 2013. |
