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Featured Co-authors

Ryan A. Rossi
57 publications
Nesreen K. Ahmed
42 publications
Sungchul Kim
26 publications
Ryan Rossi
24 publications
Xiangnan Kong
20 publications
Theodore L. Willke
16 publications
Hesham A. Rakha
15 publications
Rong Zhou
14 publications
Ismini Lourentzou
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Yunhui Long
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John Boaz Lee
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∙ 08/25/2023

Resource-Efficient Federated Learning for Heterogenous and Resource-Constrained Environments

Federated Learning (FL) is a privacy-enforcing sub-domain of machine lea...

0 Humaid Ahmed Desai, et al. ∙

∙ 08/16/2023

Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction

Existing attribute-value extraction (AVE) models require large quantitie...

0 Jiaying Gong, et al. ∙

∙ 06/02/2022

Hard Negative Sampling Strategies for Contrastive Representation Learning

One of the challenges in contrastive learning is the selection of approp...

22 Afrina Tabassum, et al. ∙

∙ 12/08/2021

Prompt-based Zero-shot Relation Classification with Semantic Knowledge Augmentation

Recognizing unseen relations with no training instances is a challenging...

0 Jiaying Gong, et al. ∙

∙ 11/13/2020

Zero-shot Learning for Relation Extraction

Most existing supervised and few-shot learning relation extraction metho...

0 Jiaying Gong, et al. ∙

∙ 10/14/2020

Graph Deep Factors for Forecasting

Deep probabilistic forecasting techniques have recently been proposed fo...

0 Hongjie Chen, et al. ∙

∙ 09/26/2020

Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction

The models of n-ary cross sentence relation extraction based on distant ...

0 Chenhan Yuan, et al. ∙

∙ 09/26/2020

Clustering-based Unsupervised Generative Relation Extraction

This paper focuses on the problem of unsupervised relation extraction. E...

0 Chenhan Yuan, et al. ∙

∙ 09/25/2020

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting

Traditional methods for demand forecasting only focus on modeling the te...

0 Hongjie Chen, et al. ∙

∙ 09/25/2020

Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon

Search and recommendation systems are ubiquitous and irreplaceable tools...

0 Eslam Hussein, et al. ∙

∙ 08/10/2020

Two-Stage Clustering of Household Electricity Load Shapes based on Temporal Pattern Peak Demand

Analyzing smart meter data to understand energy consumption patterns hel...

0 Milad Afzalan, et al. ∙

∙ 08/10/2020

Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks

Vehicle acceleration and deceleration maneuvers at traffic signals resul...

47 Seifeldeen Eteifa, et al. ∙

∙ 01/03/2019

Secure Two-Party Feature Selection

In this work, we study how to securely evaluate the value of trading dat...

0 Vanishree Rao, et al. ∙

∙ 02/07/2018

Learning Role-based Graph Embeddings

Random walks are at the heart of many existing network embedding methods...

0 Nesreen K. Ahmed, et al. ∙

∙ 10/27/2017

Similarity-based Multi-label Learning

Multi-label classification is an important learning problem with many ap...

0 Ryan A. Rossi, et al. ∙

∙ 10/25/2017

Inductive Representation Learning in Large Attributed Graphs

Graphs (networks) are ubiquitous and allow us to model entities (nodes) ...

0 Nesreen K. Ahmed, et al. ∙

∙ 09/14/2017

A Framework for Generalizing Graph-based Representation Learning Methods

Random walks are at the heart of many existing deep learning algorithms ...

0 Nesreen K. Ahmed, et al. ∙

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