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

Oct 03, 2020
Lingjuan Lyu, Xuanli He, Yitong Li

* accepted to Findings of EMNLP 2020 

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

Jul 18, 2020
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma

* Accepted for publication in TDSC 

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Towards Differentially Private Text Representations

Jun 25, 2020
Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao

* Accepted to SIGIR'20 

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Improving Disentangled Text Representation Learning with Information-Theoretic Guidance

Jun 06, 2020
Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin

* Accepted by the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020) 

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Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions

Mar 02, 2020
Yitong Li, Dianqi Li, Sushant Prakash, Peng Wang


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Estimating Uncertainty Intervals from Collaborating Networks

Feb 12, 2020
Tianhui Zhou, Yitong Li, Yuan Wu, David Carlson

* 18 pages, 8 figures 

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Gaussian-Process-Based Dynamic Embedding for Textual Networks

Oct 10, 2019
Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Cheng, David Carlson, Lawrence Carin

* Accepted as NeurIPS 2019 Graph Representation Learning Workshop 

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Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods

Oct 09, 2019
Kevin J Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin


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LMVP: Video Predictor with Leaked Motion Information

Jun 24, 2019
Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin


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Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural Networks

Jun 14, 2019
Yitong Li, Wenying Ji


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Semi-supervised Stochastic Multi-Domain Learning using Variational Inference

Jun 07, 2019
Yitong Li, Timothy Baldwin, Trevor Cohn

* ACL 2019 (9 pages + 2 references + 1 appendices) 

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Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain

Jun 04, 2019
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin

* 13 pages, 5 figures, 6 tables 

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On Target Shift in Adversarial Domain Adaptation

Mar 15, 2019
Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, David E. Carlson


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Sequential Attention GAN for Interactive Image Editing via Dialogue

Dec 20, 2018
Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao


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StoryGAN: A Sequential Conditional GAN for Story Visualization

Dec 06, 2018
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao


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Learning Context-Sensitive Convolutional Filters for Text Processing

Aug 30, 2018
Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin

* Accepted by EMNLP 2018 as a full paper 

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Multi-Label Learning from Medical Plain Text with Convolutional Residual Models

Aug 08, 2018
Xinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin

* Machine Learning for Healthcare 2018 spotlight paper 

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Diffusion Maps for Textual Network Embedding

May 24, 2018
Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin


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Non-Oscillatory Pattern Learning for Non-Stationary Signals

May 22, 2018
Jieren Xu, Yitong Li, David Dunson, Ingrid Daubechies, Haizhao Yang


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Towards Robust and Privacy-preserving Text Representations

May 16, 2018
Yitong Li, Timothy Baldwin, Trevor Cohn

* Accepted to ACL 2018 

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

May 16, 2018
Yitong Li, Timothy Baldwin, Trevor Cohn

* Accepted to NAACL 2018 

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Learning Robust Representations of Text

Sep 20, 2016
Yitong Li, Trevor Cohn, Timothy Baldwin

* 5 pages with 2 pages reference, 2 tables, 1 figure 

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EventNet: A Large Scale Structured Concept Library for Complex Event Detection in Video

Aug 17, 2015
Guangnan Ye, Yitong Li, Hongliang Xu, Dong Liu, Shih-Fu Chang


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