Xiaoqing Zheng | DeepAI

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Featured Co-authors

Qi Zhang
242 publications
Yue Zhang
236 publications
Jun Zhao
175 publications
Kai-Wei Chang
160 publications
Cho-Jui Hsieh
147 publications
Xiao Wang
144 publications
Xipeng Qiu
131 publications
Xuanjing Huang
123 publications
Yi Zhou
114 publications
Xin Zhou
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Xiang Zhou
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∙ 08/29/2023

SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT

Spiking neural networks (SNNs) offer a promising avenue to implement dee...

0 Changze Lv, et al. ∙

∙ 07/20/2023

Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios

Endoscopic surgery is currently an important treatment method in the fie...

0 Shaowu Peng, et al. ∙

∙ 10/14/2022

Watermarking Pre-trained Language Models with Backdooring

Large pre-trained language models (PLMs) have proven to be a crucial com...

0 Chenxi Gu, et al. ∙

∙ 06/11/2022

Improving the Adversarial Robustness of NLP Models by Information Bottleneck

Existing studies have demonstrated that adversarial examples can be dire...

0 Cenyuan Zhang, et al. ∙

∙ 08/29/2021

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution

Recent studies have shown that deep neural networks are vulnerable to in...

0 Zongyi Li, et al. ∙

∙ 05/31/2021

Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models

A sequence-to-sequence learning with neural networks has empirically pro...

0 Chong Li, et al. ∙

∙ 05/08/2021

Certified Robustness to Text Adversarial Attacks by Randomized [MASK]

Recently, few certified defense methods have been developed to provably ...

0 Jiehang Zeng, et al. ∙

∙ 03/22/2021

Alleviate Exposure Bias in Sequence Prediction with Recurrent Neural Networks

A popular strategy to train recurrent neural networks (RNNs), known as “...

0 Liping Yuan, et al. ∙

∙ 03/22/2021

SparseGAN: Sparse Generative Adversarial Network for Text Generation

It is still a challenging task to learn a neural text generation model u...

0 Liping Yuan, et al. ∙

∙ 03/21/2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Various robustness evaluation methodologies from different perspectives ...

20 Tao Gui, et al. ∙

∙ 03/02/2021

Unsupervised Word Segmentation with Bi-directional Neural Language Model

We present an unsupervised word segmentation model, in which the learnin...

0 Lihao Wang, et al. ∙

∙ 11/17/2020

Generating universal language adversarial examples by understanding and enhancing the transferability across neural models

Deep neural network models are vulnerable to adversarial attacks. In man...

11 Liping Yuan, et al. ∙

∙ 09/16/2020

Unsupervised Summarization by Jointly Extracting Sentences and Keywords

We present RepRank, an unsupervised graph-based ranking model for extrac...

0 Zongyi Li, et al. ∙

∙ 09/10/2020

Improving Coreference Resolution by Leveraging Entity-Centric Features with Graph Neural Networks and Second-order Inference

One of the major challenges in coreference resolution is how to make use...

0 Lu Liu, et al. ∙

∙ 06/20/2020

Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble

Despite neural networks have achieved prominent performance on many natu...

0 Yi Zhou, et al. ∙

∙ 04/15/2020

Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework

Many large-scale knowledge graphs are now available and ready to provide...

0 Jiehang Zeng, et al. ∙

∙ 12/17/2019

Chinese Named Entity Recognition Augmented with Lexicon Memory

Inspired by a concept of content-addressable retrieval from cognitive sc...

0 Yi Zhou, et al. ∙

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