default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYitong Li 0002
Person information
- affiliation: University of Melbourne, Parkville, Victoria, Australia
Other persons with the same name
- Yitong Li — disambiguation page
- Yitong Li 0001 — Apple Inc., USA (and 1 more)
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
[j2]Lingjuan Lyu
, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma:
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. IEEE Trans. Dependable Secur. Comput. 19(2): 1003-1017 (2022)- [c10]Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn:
FairLib: A Unified Framework for Assessing and Improving Fairness. EMNLP (Demos) 2022: 60-71 - [i9]Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn:
fairlib: A Unified Framework for Assessing and Improving Classification Fairness. CoRR abs/2205.01876 (2022) - 2020
- [j1]Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng:
Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distributed Syst. 31(11): 2524-2541 (2020) - [c9]Lingjuan Lyu, Xuanli He, Yitong Li:
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. EMNLP (Findings) 2020: 2355-2365 - [c8]Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao:
Towards Differentially Private Text Representations. SIGIR 2020: 1813-1816 - [i8]Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao:
Towards Differentially Private Text Representations. CoRR abs/2006.14170 (2020) - [i7]Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma:
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. CoRR abs/2007.09370 (2020) - [i6]Lingjuan Lyu, Xuanli He, Yitong Li:
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. CoRR abs/2010.01285 (2020)
2010 – 2019
- 2019
- [b1]Yitong Li:
Towards Robust Representation of Natural Language Processing. University of Melbourne, Parkville, Victoria, Australia, 2019 - [c7]Yitong Li, Timothy Baldwin, Trevor Cohn:
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. ACL (1) 2019: 1923-1934 - [i5]Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin:
Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain. CoRR abs/1906.01167 (2019) - [i4]Yitong Li, Timothy Baldwin, Trevor Cohn:
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. CoRR abs/1906.02897 (2019) - 2018
- [c6]Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. ACL (2) 2018: 25-30 - [c5]Doris Hoogeveen, Andrew Bennett, Yitong Li, Karin M. Verspoor, Timothy Baldwin:
Detecting Misflagged Duplicate Questions in Community Question-Answering Archives. ICWSM 2018: 112-120 - [c4]Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. NAACL-HLT (2) 2018: 474-479 - [i3]Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. CoRR abs/1805.06088 (2018) - [i2]Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. CoRR abs/1805.06093 (2018) - 2017
- [c3]Yitong Li, Trevor Cohn, Timothy Baldwin:
Robust Training under Linguistic Adversity. EACL (2) 2017: 21-27 - 2016
- [c2]Yitong Li, Trevor Cohn, Timothy Baldwin:
Learning Robust Representations of Text. EMNLP 2016: 1979-1985 - [c1]Timothy Baldwin, Huizhi Liang, Bahar Salehi, Doris Hoogeveen, Yitong Li, Long Duong:
UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures. SemEval@NAACL-HLT 2016: 851-856 - [i1]Yitong Li, Trevor Cohn, Timothy Baldwin:
Learning Robust Representations of Text. CoRR abs/1609.06082 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-18 00:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
