b'Yun Li'

research

∙ 07/28/2023

Multilingual Lexical Simplification via Paraphrase Generation

Lexical simplification (LS) methods based on pretrained language models ...

0 Kang Liu, et al. ∙

research

∙ 06/28/2023

Multi-network Contrastive Learning Based on Global and Local Representations

The popularity of self-supervised learning has made it possible to train...

0 Weiquan Li, et al. ∙

research

∙ 06/16/2023

Clickbait Detection via Large Language Models

Clickbait, which aims to induce users with some surprising and even thri...

5 Yi Zhu, et al. ∙

research

∙ 05/30/2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models

Large language models (LLMs) have significantly advanced the field of na...

1 Chen Ling, et al. ∙

research

∙ 05/30/2023

Graph Neural Network for spatiotemporal data: methods and applications

In the era of big data, there has been a surge in the availability of da...

0 Yun Li, et al. ∙

research

∙ 05/23/2023

Constructions of Constant Dimension Subspace Codes

Subspace codes have important applications in random network coding. It ...

0 Yun Li, et al. ∙

research

∙ 05/14/2023

ParaLS: Lexical Substitution via Pretrained Paraphraser

Lexical substitution (LS) aims at finding appropriate substitutes for a ...

5 Jipeng Qiang, et al. ∙

research

∙ 05/09/2023

MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues

Self-supervised methods based on contrastive learning have achieved grea...

0 Chen Peng, et al. ∙

research

∙ 04/30/2023

Multi-directional Sobel operator kernel on GPUs

Sobel is one of the most popular edge detection operators used in image ...

0 Qiong Chang, et al. ∙

research

∙ 04/06/2023

Synthetic Hard Negative Samples for Contrastive Learning

Contrastive learning has emerged as an essential approach for self-super...

0 Hengkui Dong, et al. ∙

research

∙ 03/01/2023

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning

Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize ...

7 Yun Li, et al. ∙

research

∙ 02/25/2023

Scalable Attribution of Adversarial Attacks via Multi-Task Learning

Deep neural networks (DNNs) can be easily fooled by adversarial attacks ...

0 Zhongyi Guo, et al. ∙

research

∙ 02/23/2023

Sentence Simplification via Large Language Models

Sentence Simplification aims to rephrase complex sentences into simpler ...

1 Yutao Feng, et al. ∙

research

∙ 02/22/2023

PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks

Machine Learning (ML) techniques facilitate automating malicious softwar...

0 Deqiang Li, et al. ∙

research

∙ 12/27/2022

Weak Signal Inclusion Under Dependence and Applications in Genome-wide Association Study

Motivated by the inquiries of weak signals in underpowered genome-wide a...

0 X. Jessie Jeng, et al. ∙

research

∙ 11/05/2022

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning

The task of Compositional Zero-Shot Learning (CZSL) is to recognize imag...

0 Zhe Liu, et al. ∙

research

∙ 10/14/2022

Generative Adversarial Learning for Trusted and Secure Clustering in Industrial Wireless Sensor Networks

Traditional machine learning techniques have been widely used to establi...

0 Liu Yang, et al. ∙

research

∙ 10/03/2022

Deep Spatial Domain Generalization

Spatial autocorrelation and spatial heterogeneity widely exist in spatia...

9 Dazhou Yu, et al. ∙

research

∙ 08/02/2022

Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless Networks

Emerging six generation (6G) is the integration of heterogeneous wireles...

2 Liu Yang, et al. ∙

research

∙ 05/03/2022

Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis

EEG-based tinnitus classification is a valuable tool for tinnitus diagno...

0 Zhe Liu, et al. ∙

research

∙ 05/03/2022

Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus

With the development of digital technology, machine learning has paved t...

0 Yun Li, et al. ∙

research

∙ 02/23/2022

Prompt-Learning for Short Text Classification

In the short text, the extreme short length, feature sparsity and high a...

1 Yi Zhu, et al. ∙

research

∙ 01/06/2022

Balancing Generalization and Specialization in Zero-shot Learning

Zero-Shot Learning (ZSL) aims to transfer classification capability from...

0 Yun Li, et al. ∙

research

∙ 12/05/2021

Boosting Mobile CNN Inference through Semantic Memory

Human brains are known to be capable of speeding up visual recognition o...

5 Yun Li, et al. ∙

research

∙ 12/01/2021

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning

Current approaches to Zero-Shot Learning (ZSL) struggle to learn general...

0 Zhe Liu, et al. ∙

research

∙ 11/03/2021

An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning

Zero-Shot Learning (ZSL) aims to transfer learned knowledge from observe...

0 Yun Li, et al. ∙

research

∙ 09/01/2021

An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages

The availability of parallel sentence simplification (SS) is scarce for ...

0 Xinyu Lu, et al. ∙

research

∙ 06/02/2021

DeepCompress: Efficient Point Cloud Geometry Compression

Point clouds are a basic data type that is increasingly of interest as 3...

0 Ryan Killea, et al. ∙

research

∙ 05/26/2021

Cyclic subspace codes via the sum of Sidon spaces

Subspace codes, especially cyclic constant subspace codes, are of great ...

0 Yun Li, et al. ∙

research

∙ 04/22/2021

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification

Zero-shot learning (ZSL) aims to transfer knowledge from seen classes to...

0 Yun Li, et al. ∙

research

∙ 03/03/2021

Task Aligned Generative Meta-learning for Zero-shot Learning

Zero-shot learning (ZSL) refers to the problem of learning to classify i...

0 Zhe Liu, et al. ∙

research

∙ 10/14/2020

Chinese Lexical Simplification

Lexical simplification has attracted much attention in many languages, w...

0 Jipeng Qiang, et al. ∙

research

∙ 10/11/2020

Is It Time to Redefine the Classification Task for Deep Neural Networks?

Deep neural networks (DNNs) is demonstrated to be vulnerable to the adve...

0 Keji Han, et al. ∙

research

∙ 08/10/2020

Using Multiple Imputation to Classify Potential Outcomes Subgroups

With medical tests becoming increasingly available, concerns about over-...

0 Yun Li, et al. ∙

research

∙ 07/04/2020

Weight-dependent Gates for Network Pruning

In this paper, we propose a simple and effective network pruning framewo...

1 Yun Li, et al. ∙

research

∙ 06/25/2020

LSBert: A Simple Framework for Lexical Simplification

Lexical simplification (LS) aims to replace complex words in a given sen...

0 Jipeng Qiang, et al. ∙

research

∙ 05/19/2020

The Impact of Unmeasured Within- and Between-Cluster Confounding on the Bias of Effect Estimators from Fixed Effect, Mixed effect and Instrumental Variable Models

Instrumental variable methods are popular choices in combating unmeasure...

0 Yun Li, et al. ∙

research

∙ 05/19/2020

Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment

In observational studies of survival time featuring a binary time-depend...

0 Yun Li, et al. ∙

research

∙ 05/12/2020

Agglomerative Neural Networks for Multi-view Clustering

Conventional multi-view clustering methods seek for a view consensus thr...

0 Zhe Liu, et al. ∙

research

∙ 07/14/2019

A Simple BERT-Based Approach for Lexical Simplification

Lexical simplification (LS) aims to replace complex words in a given sen...

0 Jipeng Qiang, et al. ∙

research

∙ 06/19/2019

A simple and effective postprocessing method for image classification

Whether it is computer vision, natural language processing or speech rec...

3 Yan Liu, et al. ∙

research

∙ 01/16/2019

Exploring Communities in Large Profiled Graphs

Given a graph G and a vertex q∈ G, the community search (CS) problem aim...

0 Yankai Chen, et al. ∙

research

∙ 08/07/2018

STTM: A Tool for Short Text Topic Modeling

Along with the emergence and popularity of social communications on the ...

0 Jipeng Qiang, et al. ∙

research

∙ 10/24/2017

Improving Brain Storm Optimization Algorithm via Simplex Search

Through modeling human's brainstorming process, the brain storm optimiza...

0 Wei Chen, et al. ∙

research

∙ 03/09/2015

Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models

Spatial multiplexing cameras (SMCs) acquire a (typically static) scene t...

0 Aswin C. Sankaranarayanan, et al. ∙

Yun Li

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