Yitong Li

22 papers A* 2A 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2022 — conf
FairLib: A Unified Framework for Assessing and Improving Fairness.
EMNLP (Demos)
Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn
2022 J jnl
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning.
IEEE Trans. Dependable Secur. Comput.
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
2022 J jnl
fairlib: A Unified Framework for Assessing and Improving Classification Fairness.
CoRR
Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn
2020 — conf
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness.
EMNLP (Findings)
Lingjuan Lyu, Xuanli He, Yitong Li
2020 J jnl
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness.
CoRR
Lingjuan Lyu, Xuanli He, Yitong Li
2020 J jnl
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning.
CoRR
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
2020 A* conf
Towards Differentially Private Text Representations.
SIGIR
Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao
2020 J jnl
Towards Differentially Private Text Representations.
CoRR
Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao
2020 J jnl
Towards Fair and Privacy-Preserving Federated Deep Models.
IEEE Trans. Parallel Distributed Syst.
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng
2019 — conf
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference.
ACL (1)
Yitong Li, Timothy Baldwin, Trevor Cohn
2019 J jnl
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference.
CoRR
Yitong Li, Timothy Baldwin, Trevor Cohn
2019 J jnl
Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain.
CoRR
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin
2019 — —
Towards Robust Representation of Natural Language Processing.
Yitong Li
2018 A conf
Detecting Misflagged Duplicate Questions in Community Question-Answering Archives.
ICWSM
Doris Hoogeveen, Andrew Bennett, Yitong Li, Karin M. Verspoor, Timothy Baldwin
2018 — conf
Towards Robust and Privacy-preserving Text Representations.
ACL (2)
Yitong Li, Timothy Baldwin, Trevor Cohn
2018 J jnl
Towards Robust and Privacy-preserving Text Representations.
CoRR
Yitong Li, Timothy Baldwin, Trevor Cohn
2018 — conf
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training.
NAACL-HLT (2)
Yitong Li, Timothy Baldwin, Trevor Cohn
2018 J jnl
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training.
CoRR
Yitong Li, Timothy Baldwin, Trevor Cohn
2017 — conf
Robust Training under Linguistic Adversity.
EACL (2)
Yitong Li, Trevor Cohn, Timothy Baldwin
2016 A* conf
Learning Robust Representations of Text.
EMNLP
Yitong Li, Trevor Cohn, Timothy Baldwin
2016 J jnl
Learning Robust Representations of Text.
CoRR
Yitong Li, Trevor Cohn, Timothy Baldwin
2016 — conf
UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures.
SemEval@NAACL-HLT
Timothy Baldwin, Huizhi Liang, Bahar Salehi, Doris Hoogeveen, Yitong Li, Long Duong