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Robust Regularization with Adversarial Labelling of Perturbed Samples


May 28, 2021
Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao

* Accepted to IJCAI2021 

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On the Dynamics of Training Attention Models


Nov 19, 2020
Haoye Lu, Yongyi Mao, Amiya Nayak


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Regularizing Neural Networks via Adversarial Model Perturbation


Oct 10, 2020
Yaowei Zheng, Richong Zhang, Yongyi Mao

* 14 pages, 11 figures, submitted to AAAI 2021 

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Neural Dialogue State Tracking with Temporally Expressive Networks


Oct 03, 2020
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

* Accepted by Findings of EMNLP 2020 

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Parallel Interactive Networks for Multi-Domain Dialogue State Generation


Oct 03, 2020
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

* Accepted by EMNLP 2020 

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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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Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations


May 01, 2020
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu


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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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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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Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks


Mar 03, 2019
Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao


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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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Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process


Aug 24, 2018
Peiyuan Suny, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang


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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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Prototypical Recurrent Unit


Feb 09, 2018
Dingkun Long, Richong Zhang, Yongyi Mao


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On the representation and embedding of knowledge bases beyond binary relations


Apr 28, 2016
Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang

* 8 pages, to appear in IJCAI 2016 

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Convolutional Factor Graphs as Probabilistic Models


Jul 11, 2012
Yongyi Mao, Frank Kschischang, Brendan J. Frey

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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