Yitong Li
Yitong Li
Huawei Technologies Co., Ltd.
Verified email at - Homepage
Cited by
Cited by
Towards fair and privacy-preserving federated deep models
L Lyu, J Yu, K Nandakumar, Y Li, X Ma, J Jin, H Yu, KS Ng
IEEE Transactions on Parallel and Distributed Systems 31 (11), 2524-2541, 2020
Towards Robust and Privacy-preserving Text Representations
Y Li, T Baldwin, T Cohn
ACL 2018, 2018
Differentially private representation for nlp: Formal guarantee and an empirical study on privacy and fairness
L Lyu, X He, Y Li
EMNLP 2020 findings, 2020
Robust Training under Linguistic Adversity
Y Li, T Cohn, T Baldwin
Proceedings of the 15th Conference of the European Chapter of the …, 2017
How to democratise and protect AI: Fair and differentially private decentralised deep learning
L Lyu, Y Li, K Nandakumar, J Yu, X Ma
IEEE Transactions on Dependable and Secure Computing 19 (2), 1003-1017, 2020
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training
Y Li, T Baldwin, T Cohn
NAACL 2018, 2018
Towards differentially private text representations
L Lyu, Y Li, X He, T Xiao
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Compilable Neural Code Generation with Compiler Feedback
X Wang, Y Wang, Y Wan, F Mi, Y Li, P Zhou, J Liu, H Wu, X Jiang, Q Liu
acl 2022 findings, 2022
Detecting misflagged duplicate questions in community question-answering archives
D Hoogeveen, A Bennett, Y Li, K Verspoor, T Baldwin
Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion
K Chen, Y Wang, Y Li, A Li
ACL 2022 main, 2022
CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems
F Mi, Y Li, Y Wang, X Jiang, Q Liu
AAAI 2022, 2021
PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Model
F Mi, Y Li, Y Zeng, J Zhou, Y Wang, C Xu, L Shang, X Jiang, S Zhao, Q Liu
arXiv preprint arXiv:2203.17090, 2022
Towards identifying social bias in dialog systems: Frame, datasets, and benchmarks
J Zhou, J Deng, F Mi, Y Li, Y Wang, M Huang, X Jiang, Q Liu, H Meng
EMNLP 2022 findings, 2022
Learning Robust Representations of Text
Y Li, T Cohn, T Baldwin
EMNLP 2016, 2016
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference
Y Li, T Baldwin, T Cohn
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Towards identifying social bias in dialog systems: Framework, dataset, and benchmark
J Zhou, J Deng, F Mi, Y Li, Y Wang, M Huang, X Jiang, Q Liu, H Meng
Findings of the Association for Computational Linguistics: EMNLP 2022, 3576-3591, 2022
Fairlib: A unified framework for assessing and improving fairness
X Han, A Shen, Y Li, L Frermann, T Baldwin, T Cohn
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
UniDS: A unified dialogue system for chit-chat and task-oriented dialogues
X Zhao, B He, Y Wang, Y Li, F Mi, Y Liu, X Jiang, Q Liu, H Chen
DialDoc Workshop on Document-grounded Dialogue and Conversational Question …, 2022
UniMelb at SemEval-2016 Task 3: Identifying similar questions by combining a CNN with string similarity measures
T Baldwin, H Liang, B Salehi, D Hoogeveen, Y Li, L Duong
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
A machine learning method to distinguish machine translation from human translation
Y Li, R Wang, H Zhao
Proceedings of the 29th Pacific Asia Conference on Language, Information and …, 2015
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