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08/30/2023
Emoji Promotes Developer Participation and Issue Resolution on GitHub
Although remote working is increasingly adopted during the pandemic, man...
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08/15/2023
Teach LLMs to Personalize – An Approach inspired by Writing Education
Personalized text generation is an emerging research area that has attra...
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03/08/2023
A Prompt Log Analysis of Text-to-Image Generation Systems
Recent developments in large language models (LLM) and generative AI hav...
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12/08/2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks
Establishing open and general benchmarks has been a critical driving for...
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06/11/2022
Why is constrained neural language generation particularly challenging?
Recent advances in deep neural language models combined with the capacit...
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01/23/2022
Partition-Based Active Learning for Graph Neural Networks
We study the problem of semi-supervised learning with Graph Neural Netwo...
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12/31/2021
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling
Multinomial Logit (MNL) is one of the most popular discrete choice model...
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12/22/2021
How Much of the Chemical Space Has Been Explored? Selecting the Right Exploration Measure for Drug Discovery
Forming a molecular candidate set that contains a wide range of potentia...
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06/29/2021
Subgroup Generalization and Fairness of Graph Neural Networks
Despite enormous successful applications of graph neural networks (GNNs)...
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06/21/2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
Graph neural networks (GNNs) have attracted increasing interests. With b...
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02/10/2021
Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub
Emotions at work have long been identified as critical signals of work m...
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10/05/2020
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
Graph-structured data are ubiquitous. However, graphs encode diverse typ...
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08/19/2020
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
In this paper, we propose a flexible model for survival analysis using n...
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08/07/2020
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy
Millions of drivers worldwide have enjoyed financial benefits and work s...
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07/31/2020
An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification
Text simplification is concerned with reducing the language complexity a...
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07/31/2020
Neural Language Generation: Formulation, Methods, and Evaluation
Recent advances in neural network-based generative modeling have reignit...
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06/09/2020
Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access
We study the black-box attacks on graph neural networks (GNNs) under a n...
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02/15/2020
Neural Architecture Search over Decentralized Data
To preserve user privacy while enabling mobile intelligence, techniques ...
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11/11/2019
Graph Representation Learning via Multi-task Knowledge Distillation
Machine learning on graph structured data has attracted much research in...
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07/04/2019
SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering
Sentiment analysis has various application scenarios in software enginee...
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05/26/2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning
We consider a family of problems that are concerned about making predict...
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01/02/2019
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
Recent advances in deep learning have resulted in a resurgence in the po...
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09/01/2018
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
We introduce an adversarial method for producing high-recall explanation...
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06/07/2018
Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification
Most existing sentiment analysis approaches heavily rely on a large amou...
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01/12/2018
Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data
Smartphones and smartphone apps have undergone an explosive growth in th...
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12/22/2017
Find the Conversation Killers: a Predictive Study of Thread-ending Posts
How to improve the quality of conversations in online communities has at...
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08/30/2017
End-to-end Learning for Short Text Expansion
Effectively making sense of short texts is a critical task for many real...
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05/16/2017
Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users
Emojis have gained incredible popularity in recent years and become a ne...
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01/16/2017
Deep Memory Networks for Attitude Identification
We consider the task of identifying attitudes towards a given set of ent...
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11/29/2016
Less is More: Learning Prominent and Diverse Topics for Data Summarization
Statistical topic models efficiently facilitate the exploration of large...
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11/29/2016
Context-aware Natural Language Generation with Recurrent Neural Networks
This paper studied generating natural languages at particular contexts o...
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11/29/2016
Identity-sensitive Word Embedding through Heterogeneous Networks
Most existing word embedding approaches do not distinguish the same word...
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01/20/2016
The DARPA Twitter Bot Challenge
A number of organizations ranging from terrorist groups such as ISIS to ...
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08/02/2015