Publications


Copyright announcement: Copyrights of published papers might be held by publishers. All rights are reserved for other materials, including drafts, slides, and source code. Whenever not conflicting with copyright laws, I permit free use for non-commerical purposes. Please cite my papers if you use them for research. In particular, if a paper is accompanied with source code, the URL is available in the paper. Please notice, however, there's no guarantee that my code is executable in your environment.

Useful links: Google Scholar, DBLP

Book

  • Lili Mou, Zhi Jin. Tree-Based Convolutional Neural Networks: Principles and Applications, Springer, 2018. [url]
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Papers

  1. Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael Lyu, Irwin King. Unsupervised text generation by learning from search. In Advances in Neural Information Processing System (NeurIPS), 2020. [pdf]

  2. Yixing Luan, Bradley Hauer, Lili Mou, Grzegorz Kondrak. Improving word sense disambiguation with translations. In Proceedings of the 2020 Conference on Empiricla Methods in Natural Language Processing (EMNLP), pages 4055--4065, 2020. [pdf]

  3. Lili Mou, Olga Vechtomovaert. Stylized text generation: Approaches and applications. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL): Tutorial Abstracts, pages 19--22, 2020. [pdf, video]

  4. Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomovaert. Iterative edit-based unsupervised sentence simplification. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pages 7918--7928, 2020. [pdf]

  5. Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert. Discrete optimization for unsupervised sentence summarization with word-level extraction. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pages 5032--5042, 2020. [pdf]

  6. Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song. Unsupervised paraphrasing by simulated annealing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pages 302--312, 2020. [pdf]

  7. Nabiha Asghar,1 Lili Mou,1 Kira A Selby, Kevin D Pantasdo, Pascal Poupart, Xin Jiang. Progressive memory banks for incremental domain adaptation. In Proceedings of the International Conference on Learning Representations (ICLR), 2020. [pdf]

  8. Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang. TreeGen: A tree-based Transformer architecture for code generation. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pages 8984--8991, 2020. [pdf]

  9. Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song. Finding decision jumps in text classification. Neurocomputing, vol 371, pages 177--187, 2020. [url]

  10. Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao. Harnessing pre-trained neural networks with rules for formality style transfer. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 3571--3576, 2019. [pdf]

  11. Bowen Li, Lili Mou, Frank Keller. An imitation learning approach to unsupervised parsing. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL-short), pages 3485--3492, 2019. [pdf, slides (courtesy of BL)] (Best short paper nomination)

  12. Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova. Disentangled representation learning for non-parallel text style transfer. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pages 424--434, 2019. [pdf]

  13. Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-Yu Dai, Jiajun Chen. Generating sentences from disentangled syntactic and semantic spaces. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pages 6008--6019, 2019. [pdf]

  14. Hareesh Bahuleyan, Lili Mou, Hao Zhou, Olga Vechtomova. Stochastic Wasserstein autoencoder for probabilistic sentence generation. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT short), pages 4068--4076, 2019. [pdf, slides]

  15. Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li. CGMH: Constrained sentence generation by Metropolis-Hastings sampling. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), pages 6834--6942, 2019. [pdf]

  16. Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang. A grammar-based structural CNN decoder for code generation. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), pages 7055--7062, 2019. [pdf]

  17. Bolin Wei,1 Shuai Lu,1 Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin. Why do neural dialog systems generate short and meaningless replies? A comparison between dialog and translation. In Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 7290--7294, 2019. [pdf]

  18. Hareesh Bahuleyan,1 Lili Mou,1 Olga Vechtomova, Pascal Poupart. Variational attention for sequence-to-sequence models. In Proceedings of the International Conference on Computational Linguistics (COLING), pages 1672--1682, 2018. Also presented at TADGM Workshop @ICML, 2018. [pdf, slides]

  19. Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song. Jumper: Learning when to make classification decision in reading. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), pages 4237--4243, 2018. [pdf, slides (courtesy of XL)]

  20. Zaixiang Zheng,1 Hao Zhou,1 Shujian Huang, Lili Mou, Xin-Yu Dai, Jiajun Chen, Zhaopeng Tu. Modeling past and future for neural machine translation. Transactions of the Association for Computational Linguistics (TACL), vol. 6, pp. 145--157, 2018. [pdf]

  21. Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou. Affective neural response generation. In Proceedings of European Conference on Information Retrieval (ECIR), pages 154--166, 2018. [pdf]

  22. Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan. RUBER: An unsupervised method for automatic evaluation of open-domain dialog systems. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), pages 722--729, 2018. [pdf]

  23. Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui. Order-planning neural text generation from structure data. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), pages 5414--5421, 2018. [pdf, slides (courtesy of LS)]

  24. Zhao Meng, Lili Mou, Zhi Jin. Towards neural speaker modeling in multi-party conversation: The task, dataset, and models. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI student poster), pages 8121--8122, 2018. [pdf]

  25. Zhao Meng, Lili Mou, Zhi Jin. Hierarchical RNN with static sentence-level attention for text-based speaker change detection. In Proceedings of the 2017 ACM Conference on Information and Knowledge Management (CIKM-short), pages 2203--2206, 2017. [pdf]

  26. Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin. Coupling distributed and symbolic execution for natural language queries. In Proceedings of the 34th International Conference on Machine Learning (ICML), pages 2518--2526, 2017. Also presented in ICLR Workshop, 2017. [pdf, slide]

  27. Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng, Dongyan Zhao. How to make context more useful? An empirical study on context-aware neural conversational models. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL-short), volume 2, pages 231--236, 2017. [pdf]

  28. Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin. Sequence to backward and forward sequences: A content-introducing approach to generative short-text conversation. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), pages 3349--3358, 2016. [pdf, slide]

  29. Yan Xu,1 Ran Jia,1 Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin. Improved relation classification by deep recurrent neural networks with data augmentation. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), pages 1461--1470, 2016. [pdf]

  30. Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin. How transferable are neural networks in NLP applications? In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 478--489, 2016. [pdf]

  31. Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin. Distilling word embeddings: An encoding approach. In Proceedings of the Conference on Information and Knowledge Management (CIKM-short), pages 1977--1980, 2016. Also presented in RL4NLP Workshop @ACL, 2016. [pdf]

  32. Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu. Dialogue session segmentation by embedding-enhanced TextTiling. In Proceedings of the 17th Annual Conference of the International Speech Communication Association (INTERSPEECH), pages 2706--2710, 2016. [pdf]

  33. Zhao Meng, Lili Mou, Ge Li, Zhi Jin. Context-aware tree-cased convolutional neural networks for natural language inference. In Proceedings of the 9th International Conference on Knowledge Science, Engineering and Management, pages 515--526, 2016.

  34. Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin. Compressing neural language models by sparse word representations. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), pages 226--235, 2016. [pdf]

  35. Lili Mou,1 Rui Men,1 Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin. Natural language inference by tree-based convolution and heuristic matching. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-short), volume 2, pages 130--136, 2016. [pdf]

  36. Xiang Li, Lili Mou, Rui Yan, Ming Zhang. StalemateBreaker: A proactive content-introducing approach to automatic human-computer conversation. In Proceedings of the Twenty-Fifth International Conference on Artificial Intelligence (IJCAI), pages 2845--2851, 2016. [pdf, Reported by UK Daily Mail, China Computer Federation (CCF), Peking University, and several other media]

  37. Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin. Convolutional neural networks over tree structures for programming language processing. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI), pages 1287--1293, 2016. [pdf]

  38. Lili Mou, Rui Yan, Ge Li, Lu Zhang, Zhi Jin. Backward and forward language modeling for constrained sentence generation. arXiv preprint arXiv:1512.06612, 2015. [pdf]

  39. Lili Mou,1 Hao Peng,1 Ge Li, Yan Xu, Lu Zhang, Zhi Jin. Discriminative neural sentence modeling by tree-based convolution. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 2315--2325, 2015. [pdf, slide]

  40. Hao Peng,1 Lili Mou,1 Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin. A comparative study on regularization strategies for embedding-based neural networks. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP-short), pages 2106--2111, 2015. [pdf]

  41. Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin. Classifying relations via long short term memory networks along shortest dependency paths. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1785--1794, 2015. [pdf]

  42. Hao Peng,1 Lili Mou,1 Ge Li, Yuxuan Liu, Lu Zhang, Zhi Jin. Building program vector representations for deep learning. In Proceedings of the 8th International Conference on Knowledge Science, Engineering and Management, pages 547--553, 2015. [extended version: pdf, slide]

  43. Yan Xu, Ge Li, Lili Mou, Yangyang Lu. Learning non-taxomomic relations on demand for ontology extension. International Journal of Software Engineering and Knowledge Engineering, vol. 24, no. 8, pages 1159--1175, 2014.

  44. Lili Mou, Ge Li, Zhi Jin, Lu Zhang. Verification based on hyponymy hierarchical characteristics for Web-based hyponymy discovery. In Proceedings of the 7th International Conference on Knowledge Science, Engineering and Management, pages 81--92, 2014.

  45. Yiyang Hao, Ge Li, Lili Mou, Lu Zhang, Zhi Jin. MCT: A tool for commenting programs by multimedia comments. In Proceedings of the 2013 International Conference on Software Engineering (ICSE-demo), pages 1339--1342, 2013.

  46. Lili Mou, Ge Li, Zhi Jin. Domain hyponymy hierarchy discovery by iterative Web searching and inferable semantics based concept selecting. In Proceedings of the 2013 IEEE 37th Annual Computer Software and Applications Conference, pages 387--392, 2013. [pdf]

  47. Lili Mou Ge Li, Zhi Jin, Yangyang Lu, Yiyang Hao. "Discovering domain concepts and hyponymy relations by text relevance classifying based iterative Web searching." In Proceedings of 19th Asia-Pacific Software Engineering Conference, pages 213--222, 2012.

1=equal contribution.