b'Lingfei Wu'

research

∙ 06/07/2023

Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation

Conversational recommendation systems (CRS) effectively address informat...

0 Gangyi Zhang, et al. ∙

research

∙ 05/18/2023

Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization

Automatically generating human-readable text describing the functionalit...

0 Tong Ye, et al. ∙

research

∙ 05/08/2023

SkillQG: Learning to Generate Question for Reading Comprehension Assessment

We present : a question generation framework with controllable comprehen...

0 Xiaoqiang Wang, et al. ∙

research

∙ 02/22/2023

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks

Social Internet of Things (SIoT), a promising and emerging paradigm that...

0 Zhizhi Yu, et al. ∙

research

∙ 01/01/2023

Theoretical Characterization of How Neural Network Pruning Affects its Generalization

It has been observed in practice that applying pruning-at-initialization...

0 Hongru Yang, et al. ∙

research

∙ 12/24/2022

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation

Graph Neural Networks (GNNs) have been a prevailing technique for tackli...

0 Cuiying Huo, et al. ∙

research

∙ 12/01/2022

Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning

The essential task of urban planning is to generate the optimal land-use...

20 Dongjie Wang, et al. ∙

research

∙ 11/13/2022

HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps

Modern IT system operation demands the integration of system software an...

0 Jiajia Li, et al. ∙

research

∙ 10/12/2022

Quantifying hierarchy in scientific teams

This paper provides a detailed description of the data collection and ma...

0 Fengli Xu, et al. ∙

research

∙ 10/06/2022

Automatic Scene-based Topic Channel Construction System for E-Commerce

Scene marketing that well demonstrates user interests within a certain s...

4 Peng Lin, et al. ∙

research

∙ 10/04/2022

Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search

Online relevance matching is an essential task of e-commerce product sea...

0 Ziyang Liu, et al. ∙

research

∙ 06/26/2022

Automatic Generation of Product-Image Sequence in E-commerce

Product images are essential for providing desirable user experience in ...

9 Xiaochuan Fan, et al. ∙

research

∙ 06/22/2022

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing

Only recently, researchers attempt to provide classification algorithms ...

6 Jiayin Jin, et al. ∙

research

∙ 06/21/2022

Automatic Controllable Product Copywriting for E-Commerce

Automatic product description generation for e-commerce has witnessed si...

2 Xiaojie Guo, et al. ∙

research

∙ 06/15/2022

TeKo: Text-Rich Graph Neural Networks with External Knowledge

Graph Neural Networks (GNNs) have gained great popularity in tackling va...

1 Zhizhi Yu, et al. ∙

research

∙ 06/04/2022

Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile

Recent years have seen a surge of interest in meta-learning techniques f...

10 Dong Chen, et al. ∙

research

∙ 06/04/2022

Remote Collaboration Fuses Fewer Breakthrough Ideas

Scientists and inventors around the world are more plentiful and interco...

0 Yiling Lin, et al. ∙

research

∙ 05/25/2022

TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature

Trust evaluation is critical for many applications such as cyber securit...

9 Cuiying Huo, et al. ∙

research

∙ 05/24/2022

Meta Policy Learning for Cold-Start Conversational Recommendation

Conversational recommender systems (CRS) explicitly solicit users' prefe...

9 Zhendong Chu, et al. ∙

research

∙ 05/21/2022

Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce

In this paper, we proposed an automatic Scenario-based Multi-product Adv...

7 Xueying Zhang, et al. ∙

research

∙ 05/21/2022

Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning

Towards real-world information extraction scenario, research of relation...

4 Yangkai Du, et al. ∙

research

∙ 04/30/2022

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning

Heterogeneous graph neural network (HGNN) is a very popular technique fo...

12 Di Jin, et al. ∙

research

∙ 04/29/2022

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance

Existing metrics for assessing question generation not only require cost...

4 Xiaoqiang Wang, et al. ∙

research

∙ 04/24/2022

Embedding Knowledge for Document Summarization: A Survey

Knowledge-aware methods have boosted a range of Natural Language Process...

8 Yutong Qu, et al. ∙

research

∙ 03/05/2022

Feeding What You Need by Understanding What You Learned

Machine Reading Comprehension (MRC) reveals the ability to understand a ...

2 Xiaoqiang Wang, et al. ∙

research

∙ 02/08/2022

Aging Scientists and Slowed Advance

What is the relationship between aging and the character of scientific a...

0 Haochuan Cui, et al. ∙

research

∙ 02/01/2022

Sequential Search with Off-Policy Reinforcement Learning

Recent years have seen a significant amount of interests in Sequential R...

9 Dadong Miao, et al. ∙

research

∙ 01/18/2022

Flat Teams Drive Scientific Innovation

With teams growing in all areas of scientific and scholarly research, we...

0 Fengli Xu, et al. ∙

research

∙ 01/14/2022

Compact Graph Structure Learning via Mutual Information Compression

Graph Structure Learning (GSL) recently has attracted considerable atten...

20 Nian Liu, et al. ∙

research

∙ 12/23/2021

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

The malware has been being one of the most damaging threats to computers...

5 Xiang Ling, et al. ∙

research

∙ 12/22/2021

Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation

Conversational recommendation system (CRS) is able to obtain fine-graine...

0 Yiming Zhang, et al. ∙

research

∙ 12/16/2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation

In the past decade, automatic product description generation for e-comme...

8 Xiaojie Guo, et al. ∙

research

∙ 12/15/2021

Automatic Product Copywriting for E-Commerce

Product copywriting is a critical component of e-commerce recommendation...

7 Xueying Zhang, et al. ∙

research

∙ 11/20/2021

RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders

Considering a collection of RDF triples, the RDF-to-text generation task...

6 Hanning Gao, et al. ∙

research

∙ 11/20/2021

Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph

Knowledge graph question answering (i.e., KGQA) based on information ret...

9 Hanning Gao, et al. ∙

research

∙ 11/14/2021

Metrics and Mechanisms: Measuring the Unmeasurable in the Science of Science

What science does, what science could do, and how to make science work? ...

0 Lingfei Wu, et al. ∙

research

∙ 09/24/2021

Multi-behavior Graph Contextual Aware Network for Session-based Recommendation

Predicting the next interaction of a short-term sequence is a challengin...

0 Qi Shen, et al. ∙

research

∙ 09/24/2021

Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation

Social recommendation based on social network has achieved great success...

0 Yiming Zhang, et al. ∙

research

∙ 07/21/2021

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks

During the past decade, deep learning's performance has been widely reco...

20 Zhiqian Chen, et al. ∙

research

∙ 07/08/2021

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

Predicting the next interaction of a short-term interaction session is a...

20 Yitong Pang, et al. ∙

research

∙ 06/10/2021

Graph Neural Networks for Natural Language Processing: A Survey

Deep learning has become the dominant approach in coping with various ta...

176 Lingfei Wu, et al. ∙

research

∙ 04/11/2021

Constructing Contrastive samples via Summarization for Text Classification with limited annotations

Contrastive Learning has emerged as a powerful representation learning m...

10 Yangkai Du, et al. ∙

research

∙ 03/31/2021

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

Many data scientists use Jupyter notebook to experiment code, visualize ...

19 Xuye Liu, et al. ∙

research

∙ 03/05/2021

The Delayed Recognition of Scientific Novelty

Science is built upon scholarship consensus that changes over time. This...

0 Yiling Lin, et al. ∙

research

∙ 02/24/2021

Themisto: Towards Automated Documentation Generation in Computational Notebooks

Computational notebooks allow data scientists to express their ideas thr...

0 April Yi Wang, et al. ∙

research

∙ 02/14/2021

Relation-aware Graph Attention Model With Adaptive Self-adversarial Training

This paper describes an end-to-end solution for the relationship predict...

11 Xiao Qin, et al. ∙

research

∙ 01/27/2021

Low-skilled Occupations Face the Highest Re-skilling Pressure

While substantial scholarship has focused on estimating the susceptibili...

6 Di Tong, et al. ∙

research

∙ 01/11/2021

A Neural Question Answering System for Basic Questions about Subroutines

A question answering (QA) system is a type of conversational AI that gen...

5 Aakash Bansal, et al. ∙

research

∙ 01/07/2021

Action Word Prediction for Neural Source Code Summarization

Source code summarization is the task of creating short, natural languag...

0 Sakib Haque, et al. ∙

research

∙ 10/25/2020

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing

Crowdsourcing has attracted much attention for its convenience to collec...

2 Hanlu Wu, et al. ∙

Lingfei Wu

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