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Regularization via Adaptive Pairwise Label Smoothing


Dec 02, 2020
Hongyu Guo


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On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions


Sep 02, 2020
Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang


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A Graph to Graphs Framework for Retrosynthesis Prediction


Mar 28, 2020
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang


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Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers


Jan 12, 2020
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang


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Weighted graphlets and deep neural networks for protein structure classification


Oct 07, 2019
Hongyu Guo, Khalique Newaz, Scott Emrich, Tijana Milenkovic, Jun Li


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Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework


Sep 12, 2019
Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu

* To appear in 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing 

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MixUp as Directional Adversarial Training


Jun 17, 2019
Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang

* 12 pages, 1 figure, submitted to NeurIPS 2019 

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Augmenting Data with Mixup for Sentence Classification: An Empirical Study


May 22, 2019
Hongyu Guo, Yongyi Mao, Richong Zhang

* 7 pages 

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MixUp as Locally Linear Out-Of-Manifold Regularization


Oct 14, 2018
Hongyu Guo, Yongyi Mao, Richong Zhang

* with full proofs and imageNet results 

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Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks


Aug 15, 2018
Hongyu Guo, Yongyi Mao, Richong Zhang


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Parametric t-Distributed Stochastic Exemplar-centered Embedding


Apr 20, 2018
Martin Renqiang Min, Hongyu Guo, Dinghan Shen

* fixed typos 

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A Deep Network with Visual Text Composition Behavior


Jul 05, 2017
Hongyu Guo

* accepted to ACL2017 

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Exemplar-Centered Supervised Shallow Parametric Data Embedding


Jul 05, 2017
Martin Renqiang Min, Hongyu Guo, Dongjin Song

* accepted to IJCAI2017 

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End-to-End Multi-View Networks for Text Classification


Apr 19, 2017
Hongyu Guo, Colin Cherry, Jiang Su

* 6 pages 

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A Shallow High-Order Parametric Approach to Data Visualization and Compression


Aug 16, 2016
Martin Renqiang Min, Hongyu Guo, Dongjin Song


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Generating Text with Deep Reinforcement Learning


Oct 30, 2015
Hongyu Guo

* Accepted to the NIPS2015 Deep Reinforcement Learning Workshop 

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A Deep Learning Model for Structured Outputs with High-order Interaction


Apr 29, 2015
Hongyu Guo, Xiaodan Zhu, Martin Renqiang Min


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Long Short-Term Memory Over Tree Structures


Mar 16, 2015
Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo

* On February 6th, 2015, this work was submitted to the International Conference on Machine Learning (ICML) 

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