Xingxing Zhang

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BEIJING JIAOTONG UNIVERSITY ∙ Microsoft

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

Unsupervised extractive document summarization aims to select important ...
10/16/2020 ∙ by Shusheng Xu, et al. ∙ 0 ∙ share

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Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction

We propose a novel language-independent approach to improve the efficien...
10/07/2020 ∙ by Mengyun Chen, et al. ∙ 0 ∙ share

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Taking Modality-free Human Identification as Zero-shot Learning

Human identification is an important topic in event detection, person tr...
10/02/2020 ∙ by Zhizhe Liu, et al. ∙ 0 ∙ share

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STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization

Abstractive summarization aims to rewrite a long document to its shorter...
04/04/2020 ∙ by Yanyan Zou, et al. ∙ 0 ∙ share

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From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition

In zero-shot learning (ZSL), the samples to be classified are usually pr...
02/10/2020 ∙ by Fuzhen Li, et al. ∙ 0 ∙ share

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To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene

Due to the deteriorated conditions of lack and uneven lighting, nightti...
12/12/2019 ∙ by Zhenfeng Zhu, et al. ∙ 10 ∙ share

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Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Graph representation learning aims to encode all nodes of a graph into l...
12/04/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Understand Dynamic Regret with Switching Cost for Online Decision Making

As a metric to measure the performance of an online method, dynamic regr...
11/28/2019 ∙ by Yawei Zhao, et al. ∙ 0 ∙ share

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DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue

Different from Visual Question Answering task that requires to answer on...
11/17/2019 ∙ by Xiaoze Jiang, et al. ∙ 0 ∙ share

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ProLFA: Representative Prototype Selection for Local Feature Aggregation

Given a set of hand-crafted local features, acquiring a global represent...
10/24/2019 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries

Zero-shot learning (ZSL) has received extensive attention recently espec...
10/24/2019 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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Hierarchical Prototype Learning for Zero-Shot Recognition

Zero-Shot Learning (ZSL) has received extensive attention and successes ...
10/24/2019 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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Convolutional Prototype Learning for Zero-Shot Recognition

Zero-shot learning (ZSL) has received increasing attention in recent yea...
10/22/2019 ∙ by Zhizhe Liu, et al. ∙ 0 ∙ share

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HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization

Neural extractive summarization models usually employ a hierarchical enc...
05/16/2019 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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Neural Latent Extractive Document Summarization

Extractive summarization models need sentence level labels, which are us...
08/22/2018 ∙ by Xingxing Zhang, et al. ∙ 4 ∙ share

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Sentence Simplification with Deep Reinforcement Learning

Sentence simplification aims to make sentences easier to read and unders...
03/31/2017 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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Dependency Parsing as Head Selection

Conventional graph-based dependency parsers guarantee a tree structure b...
06/03/2016 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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Top-down Tree Long Short-Term Memory Networks

Long Short-Term Memory (LSTM) networks, a type of recurrent neural netwo...
10/31/2015 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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Xingxing Zhang

Featured Co-authors

Ming Zhou

Ji Liu

Furu Wei

Qi Wu

Mirella Lapata

Yao Zhao

Wei Lu

Jian Cheng

Yi Wu

Qian Zhao

Shuai Zheng

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction

Taking Modality-free Human Identification as Zero-shot Learning

STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization

From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition

To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene

Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Understand Dynamic Regret with Switching Cost for Online Decision Making

DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue

ProLFA: Representative Prototype Selection for Local Feature Aggregation

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries

Hierarchical Prototype Learning for Zero-Shot Recognition

Convolutional Prototype Learning for Zero-Shot Recognition

HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization

Neural Latent Extractive Document Summarization

Sentence Simplification with Deep Reinforcement Learning

Dependency Parsing as Head Selection

Top-down Tree Long Short-Term Memory Networks