Papers
Research is an organized method of trying to find out what you are going to do after you cannot do what you are doing now. It may also be said to be the method of keeping a customer reasonably dissatisfied with what he has. That means constant improvement and change so that the customer will be stimulated to desire the new product enough to buy it to replace the one he has.
—Charles F. Kettering
- Extracted BERT Model Leaks More Information than You Think!
Xuanli He, Chen Chen, Lingjuan Lyu, Qiongkai Xu. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022. - Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs
Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari. In Proceedings of the 29th International Conference on Computational Linguistics. 2022. - Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang. In Proceedings of the AAAI Conference on Artificial Intelligence. 2022. - CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia. In Advances in Neural Information Processing Systems. 2022. - Generate, Annotate, and Learn: NLP with Synthetic Text
Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi. In Transactions of the Association for Computational Linguistics. 2022. - Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
Thuy-Trang Vu, Xuanli He, Dinh Phung, and Gholamreza Haffari. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021. - Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
Xuanli He, Lingjuan Lyu, Lichao Sun, and Qiongkai Xu. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021. - Scene Graph Modification Based on Natural Language Commands
Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam. In The Findings of the Empirical Methods in Natural Language Processing (Findings-EMNLP). 2020. - Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
Lingjuan Lyu, Xuanli He, Yitong Li. In The Findings of the Empirical Methods in Natural Language Processing (Findings-EMNLP). 2020. - Towards Differentially Private Text Representations
Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao. In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2020. - Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
Xuanli He, Gholamreza Haffari, Mohammad Norouzi. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020. - A Pointer Network Architecture for Context-Dependent Semantic Parsing
Xuanli He, Quan Hung Tran, Gholamreza Haffari. In Proceedings of ALTA. 2019. - Fog-embedded Deep Learning for the Internet of Things
Lingjuan Lyu, James C Bezdek, Xuanli He, Jiong Jin. In IEEE Transactions on Industrial Informatics. 2019. - Sequence to sequence mixture model for diverse machine translation
Xuanli He, Gholamreza Haffari, Mohammad Norouzi. In Proceedings of CoNLL. 2018. - Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation
Xuanli He, Quan Hung Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari. In Proceedings of ALTA. 2018. - Privacy-preserving collaborative fuzzy clustering
Lingjuan Lyu, James C Bezdek, Yee Wei Law, Xuanli He, Marimuthu Palaniswami. In Data & Knowledge Engineering. 2018. - Privacy-preserving collaborative deep learning with application to human activity recognition
Lingjuan Lyu, Xuanli He, Yee Wei Law, Marimuthu Palaniswami. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. 2017. - Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering
Lingjuan Lyu, Jiong Jin, Sutharshan Rajasegarar, Xuanli He, Marimuthu Palaniswami. In Proceedings of Educational Data Mining. 2017. - Word representation models for morphologically rich languages in neural machine translation
Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari. In . 2016.