Kun Xu

Triple Generative Adversarial Networks

Generative adversarial networks (GANs) have shown promise in image gener...
12/20/2019 ∙ by Chongxuan Li, et al. ∙ 28 ∙ share

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Adversarial Variational Inference and Learning in Markov Random Fields

Markov random fields (MRFs) find applications in a variety of machine le...
01/24/2019 ∙ by Chongxuan Li, et al. ∙ 18 ∙ share

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Boosting Adversarial Training with Hypersphere Embedding

Adversarial training (AT) is one of the most effective defenses to impro...
02/20/2020 ∙ by Tianyu Pang, et al. ∙ 13 ∙ share

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Deep Structured Generative Models

Deep generative models have shown promising results in generating realis...
07/10/2018 ∙ by Kun Xu, et al. ∙ 8 ∙ share

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Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model

Existing neural semantic parsers mainly utilize a sequence encoder, i.e....
08/23/2018 ∙ by Kun Xu, et al. ∙ 6 ∙ share

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Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers

Most approaches to extraction multiple relations from a paragraph requir...
02/04/2019 ∙ by Haoyu Wang, et al. ∙ 4 ∙ share

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The YouTube-8M Kaggle Competition: Challenges and Methods

We took part in the YouTube-8M Video Understanding Challenge hosted on K...
06/28/2017 ∙ by Haosheng Zou, et al. ∙ 0 ∙ share

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Triple Generative Adversarial Nets

Generative Adversarial Nets (GANs) have shown promise in image generatio...
03/07/2017 ∙ by Chongxuan Li, et al. ∙ 0 ∙ share

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Question Answering on Freebase via Relation Extraction and Textual Evidence

Existing knowledge-based question answering systems often rely on small ...
03/03/2016 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

Syntactic features play an essential role in identifying relationship in...
06/25/2015 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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Chinese Text in the Wild

We introduce Chinese Text in the Wild, a very large dataset of Chinese t...
02/28/2018 ∙ by Tai-Ling Yuan, et al. ∙ 0 ∙ share

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Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks

Celebrated Sequence to Sequence learning (Seq2Seq) and its fruitful vari...
04/03/2018 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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Learning Implicit Generative Models by Teaching Explicit Ones

Implicit generative models are difficult to train as no explicit probabi...
07/10/2018 ∙ by Chao Du, et al. ∙ 0 ∙ share

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SQL-to-Text Generation with Graph-to-Sequence Model

Previous work approaches the SQL-to-text generation task using vanilla S...
09/14/2018 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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Word Mover's Embedding: From Word2Vec to Document Embedding

While the celebrated Word2Vec technique yields semantically rich represe...
10/30/2018 ∙ by Lingfei Wu, et al. ∙ 0 ∙ share

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Improving Adversarial Robustness via Promoting Ensemble Diversity

Though deep neural networks have achieved significant progress on variou...
01/25/2019 ∙ by Tianyu Pang, et al. ∙ 0 ∙ share

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Lattice CNNs for Matching Based Chinese Question Answering

Short text matching often faces the challenges that there are great word...
02/25/2019 ∙ by Yuxuan Lai, et al. ∙ 0 ∙ share

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Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

Previous cross-lingual knowledge graph (KG) alignment studies rely on en...
05/28/2019 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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Multi-objects Generation with Amortized Structural Regularization

Deep generative models (DGMs) have shown promise in image generation. Ho...
06/10/2019 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness

Previous work shows that adversarially robust generalization requires la...
05/25/2019 ∙ by Tianyu Pang, et al. ∙ 0 ∙ share

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Multi-Granular Text Encoding for Self-Explaining Categorization

Self-explaining text categorization requires a classifier to make a pred...
07/19/2019 ∙ by Zhiguo Wang, et al. ∙ 0 ∙ share

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DurIAN: Duration Informed Attention Network For Multimodal Synthesis

In this paper, we present a generic and robust multimodal synthesis syst...
09/04/2019 ∙ by Chengzhu Yu, et al. ∙ 0 ∙ share

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On unified preserving properties of kinetic schemes

Numerical modeling of fluid flows based on kinetic equations provides an...
09/11/2019 ∙ by Zhaoli Guo, et al. ∙ 0 ∙ share

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Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks

It has been widely recognized that adversarial examples can be easily cr...
09/25/2019 ∙ by Tianyu Pang, et al. ∙ 0 ∙ share

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Understanding and Stabilizing GANs' Training Dynamics with Control Theory

Generative adversarial networks (GANs) have made significant progress on...
09/29/2019 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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High-order gas-kinetic scheme with three-dimensional WENO reconstruction for the Euler and Navier-Stokes solutions

In this paper, a simple and efficient third-order weighted essentially n...
09/04/2019 ∙ by Liang Pan, et al. ∙ 0 ∙ share

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Efficient training and design of photonic neural network through neuroevolution

Recently, optical neural networks (ONNs) integrated in photonic chips ha...
08/04/2019 ∙ by Tian Zhang, et al. ∙ 0 ∙ share

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Efficient Global String Kernel with Random Features: Beyond Counting Substructures

Analysis of large-scale sequential data has been one of the most crucial...
11/25/2019 ∙ by Lingfei Wu, et al. ∙ 0 ∙ share

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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Graph kernels are widely used for measuring the similarity between graph...
11/25/2019 ∙ by Lingfei Wu, et al. ∙ 0 ∙ share

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Multiplex Word Embeddings for Selectional Preference Acquisition

Conventional word embeddings represent words with fixed vectors, which a...
01/09/2020 ∙ by Hongming Zhang, et al. ∙ 0 ∙ share

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Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment

Existing entity alignment methods mainly vary on the choices of encoding...
01/23/2020 ∙ by Kun Xu, et al. ∙ 0 ∙ share

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A Survey of Adversarial Learning on Graphs

Deep learning models on graphs have achieved remarkable performance in v...
03/10/2020 ∙ by Liang Chen, et al. ∙ 0 ∙ share

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On the Role of Conceptualization in Commonsense Knowledge Graph Construction

Commonsense knowledge graphs (CKG) like Atomic and ASER are substantiall...
03/06/2020 ∙ by Mutian He, et al. ∙ 0 ∙ share

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Kun Xu

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