Kyumin Lee

Orcid: 0000-0002-9004-1740

Affiliations:
  • Utah State University


According to our database1, Kyumin Lee authored at least 82 papers between 2005 and 2024.

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Bibliography

2024
Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Alleviating Confounding Effects with Contrastive Learning in Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

Empowering Large Language Models for Textual Data Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness.
CoRR, 2023

Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

What Boosts Fake News Dissemination on Social Media? A Causal Inference View.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Toward Designing Effective Warning Labels for Health Misinformation on Social Media.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Multi-Behavior Recommendation with Hyperbolic Geometry.
Proceedings of the IEEE International Conference on Big Data, 2022

Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Popularity versus quality: analyzing and predicting the success of highly rated crowdfunded projects on Amazon.
Computing, 2021

Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

An Effective, Robust and Fairness-aware Hate Speech Detection Framework.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Malicious Bot Detection in Online Social Networks: Arming Handcrafted Features with Deep Learning.
Proceedings of the Social Informatics - 12th International Conference, 2020

Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

HABERTOR: An Efficient and Effective Deep Hatespeech Detector.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Regression-Based Network Estimation for High-Dimensional Genetic Data.
J. Comput. Biol., 2019

Signed Distance-based Deep Memory Recommender.
Proceedings of the World Wide Web Conference, 2019

Learning from Fact-checkers: Analysis and Generation of Fact-checking Language.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A High Speed Solar MPPT Controller Design.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Detecting Fake News Articles.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Building a task blacklist for online social platforms.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

A Comparison of Penalized Regressions for Estimating Directed Acyclic Networks.
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Predicting Highly Rated Crowdfunded Products.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Understanding Temporal Backing Patterns in Online Crowdfunding Communities.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Characteristics of On-Time and Late Reward Delivery Projects.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

MRAttractor: Detecting communities from large-scale graphs.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Revealing and Detecting Malicious Retweeter Groups.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Identifying On-time Reward Delivery Projects with Estimating Delivery Duration on Kickstarter.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Detecting experts on Quora: by their activity, quality of answers, linguistic characteristics and temporal behaviors.
Soc. Netw. Anal. Min., 2016

How to Succeed in Crowdfunding: a Long-Term Study in Kickstarter.
CoRR, 2016

Exploring Learning Management System Interaction Data: Combining Data-driven and Theory-driven Approaches.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Uncovering Fake Likers in Online Social Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Understanding citizen reactions and Ebola-related information propagation on social media.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Detecting malicious campaigns in crowdsourcing platforms.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information.
ACM Trans. Intell. Syst. Technol., 2015

Characterizing and automatically detecting crowdturfing in Fiverr and Twitter.
Soc. Netw. Anal. Min., 2015

Uncovering Crowdsourced Manipulation of Online Reviews.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Crowds, Gigs, and Super Sellers: A Measurement Study of a Supply-Driven Crowdsourcing Marketplace.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

A Long-Term Study of a Crowdfunding Platform: Predicting Project Success and Fundraising Amount.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

Organic or Organized?: Exploring URL Sharing Behavior.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Social spam, campaigns, misinformation and crowdturfing.
Proceedings of the 23rd International World Wide Web Conference, 2014

Who will retweet this?: Automatically Identifying and Engaging Strangers on Twitter to Spread Information.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

The Dark Side of Micro-Task Marketplaces: Characterizing Fiverr and Automatically Detecting Crowdturfing.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Recommending prime spots of a destination and time to visit from geo-tagged social data.
Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, 2014

2013
Campaign extraction from social media.
ACM Trans. Intell. Syst. Technol., 2013

A content-driven framework for geolocating microblog users.
ACM Trans. Intell. Syst. Technol., 2013

Spatio-temporal dynamics of online memes: a study of geo-tagged tweets.
Proceedings of the 22nd International World Wide Web Conference, 2013

Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Combating Threats to Collective Attention in Social Media: An Evaluation.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

2012
Detecting collective attention spam.
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality, 2012

2011
Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Exploring Millions of Footprints in Location Sharing Services.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Content-driven detection of campaigns in social media.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Toward traffic-driven location-based web search.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
The social honeypot project: protecting online communities from spammers.
Proceedings of the 19th International Conference on World Wide Web, 2010

Uncovering social spammers: social honeypots + machine learning.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Devils, Angels, and Robots: Tempting Destructive Users in Social Media.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

SocialTrust++: Building community-based trust in Social Information Systems.
Proceedings of the 6th International Conference on Collaborative Computing: Networking, 2010

You are where you tweet: a content-based approach to geo-locating twitter users.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2007
Design and Implementation of Efficient Directory Facilitator for Context-Aware Service Discovery.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2007

Web-Based Integrated Service Discovery Using Agent Platform for Pervasive Computing Environments.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2006
SDRP: A Service Discovery with Routing Protocol for MANETs.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006

An Intelligent Middleware Architecture for Context-Aware Service Discovery.
Proceedings of the Computational Science, 2006

Agent-Based Service Discovery Middleware in Ubiquitous Environments.
Proceedings of the Computational Science, 2006

2005
Efficient Algorithm for Service Matchmaking in Ubiquitous Environments.
Proceedings of the E-Commerce and Web Technologies: 6th International Conference, 2005

Matchmaking Algorithms to Improve Dynamic Service Matching in Ubiquitous Environments.
Proceedings of the 4th Annual ACIS International Conference on Computer and Information Science (ICIS 2005), 2005

Service Discovery Using FIPA-Compliant AP to Support Scalability in Ubiquitous Environments.
Proceedings of the 4th Annual ACIS International Conference on Computer and Information Science (ICIS 2005), 2005


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