Xiangliang Zhang

research

∙ 07/16/2023

MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning

Reasoning in mathematical domains remains a significant challenge for re...

0 Zhenwen Liang, et al. ∙

research

∙ 06/01/2023

Improving the Robustness of Summarization Systems with Dual Augmentation

A robust summarization system should be able to capture the gist of the ...

0 Xiuying Chen, et al. ∙

research

∙ 05/27/2023

What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks

Large Language Models (LLMs) with strong abilities in natural language p...

0 Taicheng Guo, et al. ∙

research

∙ 05/22/2023

Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation

In this paper, we present a novel approach for distilling math word prob...

0 Zhenwen Liang, et al. ∙

research

∙ 05/19/2023

A Topic-aware Summarization Framework with Different Modal Side Information

Automatic summarization plays an important role in the exponential docum...

0 Xiuying Chen, et al. ∙

research

∙ 04/23/2023

LogicRec: Recommendation with Users' Logical Requirements

Users may demand recommendations with highly personalized requirements i...

0 Zhenwei Tang, et al. ∙

research

∙ 02/01/2023

Knowledge Distillation on Graphs: A Survey

Graph Neural Networks (GNNs) have attracted tremendous attention by demo...

0 Yijun Tian, et al. ∙

research

∙ 12/13/2022

Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs

Our work targets at searching feasible adversarial perturbation to attac...

0 Hongyan Bao, et al. ∙

research

∙ 12/13/2022

AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs

Machine Learning-as-a-Service systems (MLaaS) have been largely develope...

0 Helene Orsini, et al. ∙

research

∙ 12/01/2022

Analogical Math Word Problems Solving with Enhanced Problem-Solution Association

Math word problem (MWP) solving is an important task in question answeri...

0 Zhenwen Liang, et al. ∙

research

∙ 11/19/2022

ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture

This paper introduces ArtELingo, a new benchmark and dataset, designed t...

0 Youssef Mohamed, et al. ∙

research

∙ 11/19/2022

Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification

Multi-label text classification (MLTC) is one of the key tasks in natura...

0 Lin Xiao, et al. ∙

research

∙ 10/04/2022

Towards Improving Faithfulness in Abstractive Summarization

Despite the success achieved in neural abstractive summarization based o...

0 Xiuying Chen, et al. ∙

research

∙ 08/22/2022

NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs

While Graph Neural Networks (GNNs) have demonstrated their efficacy in d...

0 Yijun Tian, et al. ∙

research

∙ 08/16/2022

FALCON: Sound and Complete Neural Semantic Entailment over ALC Ontologies

Many ontologies, i.e., Description Logic (DL) knowledge bases, have been...

0 Zhenwei Tang, et al. ∙

research

∙ 07/28/2022

Improving Few-shot News Recommendation via Cross-lingual Transfer

The cold-start problem has been commonly recognized in recommendation sy...

0 Taicheng Guo, et al. ∙

research

∙ 05/29/2022

TAR: Neural Logical Reasoning across TBox and ABox

Many ontologies, i.e., Description Logic (DL) knowledge bases, have been...

0 Zhenwei Tang, et al. ∙

research

∙ 05/02/2022

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion

Most real-world knowledge graphs (KG) are far from complete and comprehe...

0 Zhenwei Tang, et al. ∙

research

∙ 11/07/2021

Meta Cross-Modal Hashing on Long-Tailed Data

Due to the advantage of reducing storage while speeding up query time on...

0 Runmin Wang, et al. ∙

research

∙ 11/07/2021

Cross-modal Zero-shot Hashing by Label Attributes Embedding

Cross-modal hashing (CMH) is one of the most promising methods in cross-...

0 Runmin Wang, et al. ∙

research

∙ 11/07/2021

Open-Set Crowdsourcing using Multiple-Source Transfer Learning

We raise and define a new crowdsourcing scenario, open set crowdsourcing...

0 Guangyang Han, et al. ∙

research

∙ 11/07/2021

Crowdsourcing with Meta-Workers: A New Way to Save the Budget

Due to the unreliability of Internet workers, it's difficult to complete...

0 Guangyang Han, et al. ∙

research

∙ 09/29/2021

Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST

This paper provides an overview of the Arabic Sentiment Analysis Challen...

1 Hind Alamro, et al. ∙

research

∙ 09/08/2021

AppQ: Warm-starting App Recommendation Based on View Graphs

Current app ranking and recommendation systems are mainly based on user-...

12 Dan Su, et al. ∙

research

∙ 08/17/2021

FARF: A Fair and Adaptive Random Forests Classifier

As Artificial Intelligence (AI) is used in more applications, the need t...

0 Wenbin Zhang, et al. ∙

research

∙ 07/28/2021

MWP-BERT: A Strong Baseline for Math Word Problems

Math word problem (MWP) solving is the task of transforming a sequence o...

0 Zhenwen Liang, et al. ∙

research

∙ 06/29/2021

Attack Transferability Characterization for Adversarially Robust Multi-label Classification

Despite of the pervasive existence of multi-label evasion attack, it is ...

0 Zhuo Yang, et al. ∙

research

∙ 06/07/2021

Socially-Aware Self-Supervised Tri-Training for Recommendation

Self-supervised learning (SSL), which can automatically generate ground-...

0 Junliang Yu, et al. ∙

research

∙ 06/07/2021

Scientific Dataset Discovery via Topic-level Recommendation

Data intensive research requires the support of appropriate datasets. Ho...

0 Basmah Altaf, et al. ∙

research

∙ 04/05/2021

Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling

As a well-established approach, factorization machine (FM) is capable of...

0 Tong Chen, et al. ∙

research

∙ 04/04/2021

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning

With the ubiquitous graph-structured data in various applications, model...

15 Tong Chen, et al. ∙

research

∙ 04/02/2021

Fast-adapting and Privacy-preserving Federated Recommender System

In the mobile Internet era, recommender systems have become an irreplace...

0 Qinyong Wang, et al. ∙

research

∙ 03/24/2021

Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation

In this work, we study group recommendation in a particular scenario, na...

0 Lei Guo, et al. ∙

research

∙ 01/29/2021

Graph Embedding for Recommendation against Attribute Inference Attacks

In recent years, recommender systems play a pivotal role in helping user...

0 Shijie Zhang, et al. ∙

research

∙ 01/27/2021

Combat Data Shift in Few-shot Learning with Knowledge Graph

Many few-shot learning approaches have been designed under the meta-lear...

2 Yongchun Zhu, et al. ∙

research

∙ 01/24/2021

Does Head Label Help for Long-Tailed Multi-Label Text Classification

Multi-label text classification (MLTC) aims to annotate documents with t...

0 Lin Xiao, et al. ∙

research

∙ 01/16/2021

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

Social relations are often used to improve recommendation quality when u...

0 Junliang Yu, et al. ∙

research

∙ 01/08/2021

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection

Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous di...

0 Guanhua Ye, et al. ∙

research

∙ 12/17/2020

Characterizing the Evasion Attackability of Multi-label Classifiers

Evasion attack in multi-label learning systems is an interesting, widely...

0 Zhuo Yang, et al. ∙

research

∙ 12/12/2020

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

Session-based recommendation (SBR) focuses on next-item prediction at a ...

0 Xin Xia, et al. ∙

research

∙ 11/01/2020

ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset

This paper provides a detailed description of a new Twitter-based benchm...

0 Basma Alharbi, et al. ∙

research

∙ 10/06/2020

Multi-typed Objects Multi-view Multi-instance Multi-label Learning

Multi-typed objects Multi-view Multi-instance Multi-label Learning (M4L)...

0 Yuanlin Yang, et al. ∙

research

∙ 10/05/2020

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation

Understanding the relationships between biomedical terms like viruses, d...

12 Uchenna Akujuobi, et al. ∙

research

∙ 10/02/2020

Deep Incomplete Multi-View Multiple Clusterings

Multi-view clustering aims at exploiting information from multiple heter...

4 Shaowei Wei, et al. ∙

research

∙ 09/02/2020

Self-supervised Smoothing Graph Neural Networks

This paper studies learning node representations with GNNs for unsupervi...

16 Lu Yu, et al. ∙

research

∙ 08/25/2020

PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization

In this paper, we propose a novel stochastic gradient estimator—ProbAbil...

8 Zhize Li, et al. ∙

research

∙ 07/12/2020

Graph Factorization Machines for Cross-Domain Recommendation

Recently, graph neural networks (GNNs) have been successfully applied to...

1 Dongbo Xi, et al. ∙

research

∙ 06/18/2020

SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic

Since the first alert launched by the World Health Organization (5 Janua...

1 Qiang Yang, et al. ∙

research

∙ 05/19/2020

Addressing Class-Imbalance Problem in Personalized Ranking

Pairwise ranking models have been widely used to address recommendation ...

1 Lu Yu, et al. ∙

research

∙ 04/07/2020

Efficient long-distance relation extraction with DG-SpanBERT

In natural language processing, relation extraction seeks to rationally ...

10 Jun Chen, et al. ∙

Xiangliang Zhang

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