52 citations · 196 across the 15 of their papers we have counts for
16 papers
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
Zijie Huang, Daheng Wang, Binxuan Huang +8
Knowledge graph embeddings (KGE) have been extensively studied to embed large-scale relational data for many real-world applications. Existing methods have long ignored the fact ma…
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents
Ritesh Sarkhel, Binxuan Huang, Colin Lockard +1
Extracting structured information from HTML documents is a long-studied problem with a broad range of applications, including knowledge base construction, faceted search, and perso…
DOM-LM: Learning Generalizable Representations for HTML Documents
Xiang Deng, Prashant Shiralkar, Colin Lockard +2
HTML documents are an important medium for disseminating information on the Web for human consumption. An HTML document presents information in multiple text formats including unst…
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation
Yu Zhang, Wei Wei, Binxuan Huang +2
Real-time location inference of social media users is the fundamental of some spatial applications such as localized search and event detection. While tweet text is the most common…
TCN: Table Convolutional Network for Web Table Interpretation
Daheng Wang, Prashant Shiralkar, Colin Lockard +3
Information extraction from semi-structured webpages provides valuable long-tailed facts for augmenting knowledge graph. Relational Web tables are a critical component containing a…
Disinformation and Misinformation on Twitter during the Novel Coronavirus Outbreak
Binxuan Huang, Kathleen M. Carley
As the novel coronavirus spread globally, a growing public panic was expressed over the internet. We examine the public discussion concerning COVID-19 on Twitter. We use a dataset…
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation
Binxuan Huang, Kathleen M. Carley
Accurate estimation of user location is important for many online services. Previous neural network based methods largely ignore the hierarchical structure among locations. In this…
Location Order Recovery in Trails with Low Temporal Resolution
Binxuan Huang, Kathleen M. Carley
Researchers who study object movement problems related to topics like traffic flow analysis, patient monitoring, and software operation, need to know the correct order in which obj…
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
Binxuan Huang, Kathleen M. Carley
We introduce a novel parameterized convolutional neural network for aspect level sentiment classification. Using parameterized filters and parameterized gates, we incorporate aspec…
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
Binxuan Huang, Kathleen M. Carley
Aspect level sentiment classification aims to identify the sentiment expressed towards an aspect given a context sentence. Previous neural network based methods largely ignore the…
A Large-Scale Empirical Study of Geotagging Behavior on Twitter
Binxuan Huang, Kathleen M. Carley
Geotagging on social media has become an important proxy for understanding people's mobility and social events. Research that uses geotags to infer public opinions relies on severa…
Recurrent U-net: Deep learning to predict daily summertime ozone in the United States
Tai-Long He, Dylan B. A. Jones, Binxuan Huang +6
We use a hybrid deep learning model to predict June-July-August (JJA) daily maximum 8-h average (MDA8) surface ozone concentrations in the US. A set of meteorological fields from t…
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning
Binxuan Huang, Kathleen M. Carley
In this paper, we study the problem of node representation learning with graph neural networks. We present a graph neural network class named recurrent graph neural network (RGNN),…
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks
Binxuan Huang, Yanglan Ou, Kathleen M. Carley
Aspect-level sentiment classification aims to identify the sentiment expressed towards some aspects given context sentences. In this paper, we introduce an attention-over-attention…
On Predicting Geolocation of Tweets using Convolutional Neural Networks
Binxuan Huang, Kathleen M. Carley
In many Twitter studies, it is important to know where a tweet came from in order to use the tweet content to study regional user behavior. However, researchers using Twitter to un…
A Probabilistic Framework for Location Inference from Social Media
Yujie Qian, Jie Tang, Zhilin Yang +3
We study the extent to which we can infer users' geographical locations from social media. Location inference from social media can benefit many applications, such as disaster mana…