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Improving Text Generation with Student-Forcing Optimal Transport

Oct 12, 2020
Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin

* To appear at EMNLP 2020 

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Weakly supervised cross-domain alignment with optimal transport

Aug 14, 2020
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin

* Accepted to BMVC 2020 (Oral) 

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Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage

Jun 22, 2020
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin

* 20 pages, Machine Learning for Healthcare 2020 (To appear) 

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Improving Adversarial Text Generation by Modeling the Distant Future

May 04, 2020
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin

* ACL 2020. arXiv admin note: substantial text overlap with arXiv:1811.00696 

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Ball k-means

May 02, 2020
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei


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POINTER: Constrained Text Generation via Insertion-based Generative Pre-training

May 01, 2020
Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan


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Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

Nov 20, 2019
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

* Accepted by AAAI-2020 

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Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding

Nov 10, 2019
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin


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An Optimal Transport Framework for Zero-Shot Learning

Oct 20, 2019
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin


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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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Improving Textual Network Learning with Variational Homophilic Embeddings

Sep 30, 2019
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin

* Accepted to NeurIPS 2019 

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Learning Word Embeddings with Domain Awareness

Jun 21, 2019
Guoyin Wang, Yan Song, Yue Zhang, Dong Yu


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Improving Textual Network Embedding with Global Attention via Optimal Transport

Jun 05, 2019
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin


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Discriminative Clustering for Robust Unsupervised Domain Adaptation

May 30, 2019
Rui Wang, Guoyin Wang, Ricardo Henao


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Topic-Guided Variational Autoencoders for Text Generation

Mar 17, 2019
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin


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Adversarial Learning of a Sampler Based on an Unnormalized Distribution

Jan 03, 2019
Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin

* Published in AISTATS 2019; Code: https://github.com/ChunyuanLI/RAS 

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Generative Adversarial Network Training is a Continual Learning Problem

Nov 27, 2018
Kevin J Liang, Chunyuan Li, Guoyin Wang, Lawrence Carin


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Sequence Generation with Guider Network

Nov 02, 2018
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin


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JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets

Jun 08, 2018
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin

* Accepted by ICML 2018 

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Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

May 24, 2018
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin

* To appear at ACL 2018 (code: https://github.com/dinghanshen/SWEM

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NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing

May 14, 2018
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao

* To appear at ACL 2018 

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Joint Embedding of Words and Labels for Text Classification

May 10, 2018
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

* Published in ACL 2018; Code: https://github.com/guoyinwang/LEAM 

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Non-iterative Label Propagation on Optimal Leading Forest

Sep 25, 2017
Ji Xu, Guoyin Wang

* Claim the itelligence property by first uploading it to the preprint platform. After carefullu revision of this initial draft, we would like to submit it to a conference or journal 

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Deconvolutional Paragraph Representation Learning

Sep 22, 2017
Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin

* Accepted by NIPS 2017 

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Heuristic algorithms for finding distribution reducts in probabilistic rough set model

Dec 22, 2015
Xi'ao Ma, Guoyin Wang, Hong Yu

* 44 pages, 24 figures 

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Leading Tree in DPCLUS and Its Impact on Building Hierarchies

Jun 15, 2015
Ji Xu, Guoyin Wang

* 11 Pages, 5 figures. It is a very fundamental topic with respect to the research (clustering by fast search and find of density peaks) 

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