Xingxing Zhang

Attention Temperature Matters in Abstractive Summarization Distillation

Recent progress of abstractive text summarization largely relies on larg...
06/07/2021 ∙ by Shengqiang Zhang, et al. ∙ 0 ∙ share

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Does deep machine vision have just noticeable difference (JND)?

As an important perceptual characteristic of the Human Visual System (HV...
02/16/2021 ∙ by Jian Jin, et al. ∙ 12 ∙ share

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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

Huan Zhang

Yi Wu

Qian Zhao

Attention Temperature Matters in Abstractive Summarization Distillation

Does deep machine vision have just noticeable difference (JND)?

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