Yitong Li
Yitong Li
Verified email at student.unimelb.edu.au - Homepage
Cited by
Cited by
Towards Robust and Privacy-preserving Text Representations
Y Li, T Baldwin, T Cohn
ACL 2018, 2018
Robust Training under Linguistic Adversity
Y Li, T Cohn, T Baldwin
Proceedings of the 15th Conference of the European Chapter of the …, 2017
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
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training
Y Li, T Baldwin, T Cohn
NAACL 2018, 2018
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
Learning Robust Representations of Text
Y Li, T Cohn, T Baldwin
EMNLP 2016, 2016
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
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
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, 2020
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 fair and decentralized privacy-preserving deep learning with blockchain
L Lyu, J Yu, K Nandakumar, Y Li, X Ma, J Jin
arXiv preprint arXiv:1906.01167, 1-13, 2019
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
L Lyu, X He, Y Li
arXiv preprint arXiv:2010.01285, 2020
Towards Fair and Decentralized Privacy-Preserving Deep Learning
L Lyu, J Yu, K Nandakumar, Y Li, X Ma, J Jin
Bibi system description: Building with cnns and breaking with deep reinforcement learning
Y Li, T Cohn, T Baldwin
Proceedings of the First Workshop on Building Linguistically Generalizable …, 2017
Filter and Match Approach to Pair-wise Web URI Linking
S Subramanian, Y Li, A Rahimi
Proceedings of the Australasian Language Technology Association Workshop …, 2016
Towards Robust Representation of Natural Language Processing
Y Li
Multi-task Adversarial Representation Learning for Text Classification
Y Li, T Cohn, T Baldwin
School of Computing and Information Systems 5th Annual Doctoral Colloquium, 3, 2017
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