Yitong Li

According to our database, Yitong Li authored at least 15 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning.

Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma

IEEE Trans. Dependable Secur. Comput., 2022

fairlib: A Unified Framework for Assessing and Improving Classification Fairness.

Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn

CoRR, 2022

FairLib: A Unified Framework for Assessing and Improving Fairness.

Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

Towards Fair and Privacy-Preserving Federated Deep Models.

Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng

IEEE Trans. Parallel Distributed Syst., 2020

Towards Differentially Private Text Representations.

Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness.

Lingjuan Lyu, Xuanli He, Yitong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Towards Robust Representation of Natural Language Processing.

Yitong Li

PhD thesis, 2019

Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain.

Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin

CoRR, 2019

Semi-supervised Stochastic Multi-Domain Learning using Variational Inference.

Yitong Li, Timothy Baldwin, Trevor Cohn

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training.

Yitong Li, Timothy Baldwin, Trevor Cohn

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Detecting Misflagged Duplicate Questions in Community Question-Answering Archives.

Doris Hoogeveen, Andrew Bennett, Yitong Li, Karin M. Verspoor, Timothy Baldwin

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Towards Robust and Privacy-preserving Text Representations.

Yitong Li, Timothy Baldwin, Trevor Cohn

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Robust Training under Linguistic Adversity.

Yitong Li, Trevor Cohn, Timothy Baldwin

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures.

Timothy Baldwin, Huizhi Liang, Bahar Salehi, Doris Hoogeveen, Yitong Li, Long Duong

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Learning Robust Representations of Text.

Yitong Li, Trevor Cohn, Timothy Baldwin

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016