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06/07/2023
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation
Conversational recommendation systems (CRS) effectively address informat...
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05/18/2023
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
Automatically generating human-readable text describing the functionalit...
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05/08/2023
SkillQG: Learning to Generate Question for Reading Comprehension Assessment
We present : a question generation framework with controllable comprehen...
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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...
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01/01/2023
Theoretical Characterization of How Neural Network Pruning Affects its Generalization
It has been observed in practice that applying pruning-at-initialization...
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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...
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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...
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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...
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10/12/2022
Quantifying hierarchy in scientific teams
This paper provides a detailed description of the data collection and ma...
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10/06/2022
Automatic Scene-based Topic Channel Construction System for E-Commerce
Scene marketing that well demonstrates user interests within a certain s...
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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...
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06/26/2022
Automatic Generation of Product-Image Sequence in E-commerce
Product images are essential for providing desirable user experience in ...
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06/22/2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Only recently, researchers attempt to provide classification algorithms ...
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06/21/2022
Automatic Controllable Product Copywriting for E-Commerce
Automatic product description generation for e-commerce has witnessed si...
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06/15/2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge
Graph Neural Networks (GNNs) have gained great popularity in tackling va...
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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...
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06/04/2022
Remote Collaboration Fuses Fewer Breakthrough Ideas
Scientists and inventors around the world are more plentiful and interco...
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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...
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05/24/2022
Meta Policy Learning for Cold-Start Conversational Recommendation
Conversational recommender systems (CRS) explicitly solicit users' prefe...
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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...
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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...
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04/30/2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Heterogeneous graph neural network (HGNN) is a very popular technique fo...
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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...
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04/24/2022
Embedding Knowledge for Document Summarization: A Survey
Knowledge-aware methods have boosted a range of Natural Language Process...
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03/05/2022
Feeding What You Need by Understanding What You Learned
Machine Reading Comprehension (MRC) reveals the ability to understand a ...
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02/08/2022
Aging Scientists and Slowed Advance
What is the relationship between aging and the character of scientific a...
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02/01/2022
Sequential Search with Off-Policy Reinforcement Learning
Recent years have seen a significant amount of interests in Sequential R...
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01/18/2022
Flat Teams Drive Scientific Innovation
With teams growing in all areas of scientific and scholarly research, we...
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01/14/2022
Compact Graph Structure Learning via Mutual Information Compression
Graph Structure Learning (GSL) recently has attracted considerable atten...
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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...
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12/22/2021
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation
Conversational recommendation system (CRS) is able to obtain fine-graine...
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12/16/2021
Intelligent Online Selling Point Extraction for E-Commerce Recommendation
In the past decade, automatic product description generation for e-comme...
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12/15/2021
Automatic Product Copywriting for E-Commerce
Product copywriting is a critical component of e-commerce recommendation...
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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...
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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...
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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? ...
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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...
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09/24/2021
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation
Social recommendation based on social network has achieved great success...
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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...
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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...
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06/10/2021
Graph Neural Networks for Natural Language Processing: A Survey
Deep learning has become the dominant approach in coping with various ta...
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04/11/2021
Constructing Contrastive samples via Summarization for Text Classification with limited annotations
Contrastive Learning has emerged as a powerful representation learning m...
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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 ...
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03/05/2021
The Delayed Recognition of Scientific Novelty
Science is built upon scholarship consensus that changes over time. This...
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02/24/2021
Themisto: Towards Automated Documentation Generation in Computational Notebooks
Computational notebooks allow data scientists to express their ideas thr...
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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...
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01/27/2021
Low-skilled Occupations Face the Highest Re-skilling Pressure
While substantial scholarship has focused on estimating the susceptibili...
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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...
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01/07/2021
Action Word Prediction for Neural Source Code Summarization
Source code summarization is the task of creating short, natural languag...
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10/25/2020
