Xingxing Zhang

research

∙ 08/29/2023

Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence

Continual learning aims to empower artificial intelligence (AI) with str...

0 Liyuan Wang, et al. ∙

research

∙ 07/05/2023

LongNet: Scaling Transformers to 1,000,000,000 Tokens

Scaling sequence length has become a critical demand in the era of large...

0 Jiayu Ding, et al. ∙

research

∙ 01/31/2023

A Comprehensive Survey of Continual Learning: Theory, Method and Application

To cope with real-world dynamics, an intelligent agent needs to incremen...

0 Liyuan Wang, et al. ∙

research

∙ 12/08/2022

Momentum Calibration for Text Generation

The input and output of most text generation tasks can be transformed to...

0 Xingxing Zhang, et al. ∙

research

∙ 11/03/2022

Latent Prompt Tuning for Text Summarization

Prompts with different control signals (e.g., length, keywords, etc.) ca...

0 Yubo Zhang, et al. ∙

research

∙ 08/16/2022

HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation

Significant improvement has been made on just noticeable difference (JND...

6 Jian Jin, et al. ∙

research

∙ 07/13/2022

CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One

Continual learning requires incremental compatibility with a sequence of...

0 Liyuan Wang, et al. ∙

research

∙ 06/09/2022

Diagnosing Ensemble Few-Shot Classifiers

The base learners and labeled samples (shots) in an ensemble few-shot cl...

21 Weikai Yang, et al. ∙

research

∙ 04/28/2022

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization

In zero-shot multilingual extractive text summarization, a model is typi...

0 Ruipeng Jia, et al. ∙

research

∙ 02/14/2022

Memory Replay with Data Compression for Continual Learning

Continual learning needs to overcome catastrophic forgetting of the past...

0 Liyuan Wang, et al. ∙

research

∙ 01/07/2022

Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding

Recently, various view synthesis distortion estimation models have been ...

1 Jian Jin, et al. ∙

research

∙ 09/08/2021

Sequence Level Contrastive Learning for Text Summarization

Contrastive learning models have achieved great success in unsupervised ...

0 Shusheng Xu, et al. ∙

research

∙ 06/07/2021

Attention Temperature Matters in Abstractive Summarization Distillation

Recent progress of abstractive text summarization largely relies on larg...

0 Shengqiang Zhang, et al. ∙

research

∙ 02/16/2021

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

As an important perceptual characteristic of the Human Visual System (HV...

12 Jian Jin, et al. ∙

research

∙ 10/16/2020

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

Unsupervised extractive document summarization aims to select important ...

0 Shusheng Xu, et al. ∙

research

∙ 10/07/2020

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

We propose a novel language-independent approach to improve the efficien...

0 Mengyun Chen, et al. ∙

research

∙ 10/02/2020

Taking Modality-free Human Identification as Zero-shot Learning

Human identification is an important topic in event detection, person tr...

0 Zhizhe Liu, et al. ∙

research

∙ 04/04/2020

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

Abstractive summarization aims to rewrite a long document to its shorter...

0 Yanyan Zou, et al. ∙

research

∙ 02/10/2020

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...

0 Fuzhen Li, et al. ∙

research

∙ 12/12/2019

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

Due to the deteriorated conditions of lack and uneven lighting, nightti...

10 Zhenfeng Zhu, et al. ∙

research

∙ 12/04/2019

Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Graph representation learning aims to encode all nodes of a graph into l...

0 Shuai Zheng, et al. ∙

research

∙ 11/28/2019

Understand Dynamic Regret with Switching Cost for Online Decision Making

As a metric to measure the performance of an online method, dynamic regr...

0 Yawei Zhao, et al. ∙

research

∙ 11/17/2019

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

Different from Visual Question Answering task that requires to answer on...

0 Xiaoze Jiang, et al. ∙

research

∙ 10/24/2019

ProLFA: Representative Prototype Selection for Local Feature Aggregation

Given a set of hand-crafted local features, acquiring a global represent...

0 Xingxing Zhang, et al. ∙

research

∙ 10/24/2019

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

Zero-shot learning (ZSL) has received extensive attention recently espec...

0 Xingxing Zhang, et al. ∙

research

∙ 10/24/2019

Hierarchical Prototype Learning for Zero-Shot Recognition

Zero-Shot Learning (ZSL) has received extensive attention and successes ...

0 Xingxing Zhang, et al. ∙

research

∙ 10/22/2019

Convolutional Prototype Learning for Zero-Shot Recognition

Zero-shot learning (ZSL) has received increasing attention in recent yea...

0 Zhizhe Liu, et al. ∙

research

∙ 05/16/2019

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

Neural extractive summarization models usually employ a hierarchical enc...

0 Xingxing Zhang, et al. ∙

research

∙ 08/22/2018

Neural Latent Extractive Document Summarization

Extractive summarization models need sentence level labels, which are us...

4 Xingxing Zhang, et al. ∙

research

∙ 03/31/2017

Sentence Simplification with Deep Reinforcement Learning

Sentence simplification aims to make sentences easier to read and unders...

0 Xingxing Zhang, et al. ∙

research

∙ 06/03/2016

Dependency Parsing as Head Selection

Conventional graph-based dependency parsers guarantee a tree structure b...

0 Xingxing Zhang, et al. ∙

research

∙ 10/31/2015

Top-down Tree Long Short-Term Memory Networks

Long Short-Term Memory (LSTM) networks, a type of recurrent neural netwo...

0 Xingxing Zhang, et al. ∙

Xingxing Zhang

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