Service Discovery Using FIPA-Compliant AP to Support Scalability in Ubiquitous Environments. - Hyung-Jun Kim; Kyu Min Lee; Kee-Hyun Choi; Dong Ryeol Shin (ACIS-ICIS, 2005)

Matchmaking Algorithms to Improve Dynamic Service Matching in Ubiquitous Environments. - Kyu Min Lee; Kee-Hyun Choi; Seung-Phil Her; Dong Ryeol Shin (ACIS-ICIS, 2005)

Efficient Algorithm for Service Matchmaking in Ubiquitous Environments. - Kee-Hyun Choi; Kyu Min Lee; Ho-Jin Shin; Dong Ryeol Shin (EC-Web, 2005)

Agent-Based Service Discovery Middleware in Ubiquitous Environments. - Hyung-Jun Kim; Kyu Min Lee; Kee-Hyun Choi; Dong Ryeol Shin (International Conference on Computational Science (3), 2006)

An Intelligent Middleware Architecture for Context-Aware Service Discovery. - Kyu Min Lee; Hyung-Jun Kim; Kee-Hyun Choi; Dong Ryeol Shin (International Conference on Computational Science (3), 2006)

SDRP: A Service Discovery with Routing Protocol for MANETs. - Shi Shuo; Kyu Min Lee; Dong Ryeol Shin (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006)

Web-Based Integrated Service Discovery Using Agent Platform for Pervasive Computing Environments. - Kyu Min Lee; Dong-Uk Kim; Kee-Hyun Choi; Dong Ryeol Shin (International Conference on Computational Science (2), 2007)

Design and Implementation of Efficient Directory Facilitator for Context-Aware Service Discovery. - Dong-Uk Kim; Gun-Ha Lee; Kyu Min Lee; Seung-Phil Heo; Kee-Hyun Choi; Dong Ryeol Shin (KES-AMSTA, 2007)

You are where you tweet: a content-based approach to geo-locating twitter users. - Zhiyuan Cheng 001; James Caverlee; Kyumin Lee (CIKM, 2010)

SocialTrust++: Building community-based trust in Social Information Systems. - James Caverlee; Zhiyuan Cheng 001; Brian Eoff; Chiao-Fang Hsu; Krishna Yeswanth Kamath; Said Kashoob; Jeremy Kelley; Elham Khabiri; Kyumin Lee (CollaborateCom, 2010)

Devils, Angels, and Robots: Tempting Destructive Users in Social Media. - Kyumin Lee; Brian David Eoff; James Caverlee (ICWSM, 2010)

Uncovering social spammers: social honeypots + machine learning. - Kyumin Lee; James Caverlee; Steve Webb (SIGIR, 2010)

The social honeypot project: protecting online communities from spammers. - Kyumin Lee; James Caverlee; Steve Webb (WWW, 2010)

Toward traffic-driven location-based web search. - Zhiyuan Cheng 001; James Caverlee; Krishna Yeswanth Kamath; Kyumin Lee (CIKM, 2011)

Content-driven detection of campaigns in social media. - Kyumin Lee; James Caverlee; Zhiyuan Cheng 001; Daniel Z. Sui (CIKM, 2011)

Exploring Millions of Footprints in Location Sharing Services. - Zhiyuan Cheng 001; James Caverlee; Kyumin Lee; Daniel Z. Sui (ICWSM, 2011)

Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter. - Kyumin Lee; Brian David Eoff; James Caverlee (ICWSM, 2011)

Detecting collective attention spam. - Kyumin Lee; James Caverlee; Krishna Yeswanth Kamath; Zhiyuan Cheng 001 (WebQuality@WWW, 2012)

Combating Threats to Collective Attention in Social Media: An Evaluation. - Kyumin Lee; Krishna Yeswanth Kamath; James Caverlee (ICWSM, 2013)

Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media. - Kyumin Lee; Prithivi Tamilarasan; James Caverlee (ICWSM, 2013)

Spatio-temporal dynamics of online memes: a study of geo-tagged tweets. - Krishna Yeswanth Kamath; James Caverlee; Kyumin Lee; Zhiyuan Cheng 001 (WWW, 2013)

A content-driven framework for geolocating microblog users. - Zhiyuan Cheng 001; James Caverlee; Kyumin Lee (ACM Trans. Intell. Syst. Technol., 2013)

Campaign extraction from social media. - Kyumin Lee; James Caverlee; Zhiyuan Cheng 001; Daniel Z. Sui (ACM Trans. Intell. Syst. Technol., 2013)

Recommending prime spots of a destination and time to visit from geo-tagged social data. - Vishal Sharma 005; Kyumin Lee; Jinwook Chung (CollaborateCom, 2014)

The Dark Side of Micro-Task Marketplaces: Characterizing Fiverr and Automatically Detecting Crowdturfing. - Kyumin Lee; Steve Webb; Hancheng Ge (ICWSM, 2014)

Who will retweet this?: Automatically Identifying and Engaging Strangers on Twitter to Spread Information. - Kyumin Lee; Jalal Mahmud; Jilin Chen; Michelle X. Zhou; Jeffrey Nichols 001 (IUI, 2014)

Social spam, campaigns, misinformation and crowdturfing. - Kyumin Lee; James Caverlee; Calton Pu (WWW (Companion Volume), 2014)

Organic or Organized?: Exploring URL Sharing Behavior. - Cheng Cao; James Caverlee; Kyumin Lee; Hancheng Ge; Jin-Wook Chung (CIKM, 2015)

A Long-Term Study of a Crowdfunding Platform: Predicting Project Success and Fundraising Amount. - Jinwook Chung; Kyumin Lee (HT, 2015)

Crowds, Gigs, and Super Sellers: A Measurement Study of a Supply-Driven Crowdsourcing Marketplace. - Hancheng Ge; James Caverlee; Kyumin Lee (ICWSM, 2015)

Uncovering Crowdsourced Manipulation of Online Reviews. - Amir Fayazi; Kyumin Lee; James Caverlee; Anna Cinzia Squicciarini (SIGIR, 2015)

Characterizing and automatically detecting crowdturfing in Fiverr and Twitter. - Kyumin Lee; Steve Webb; Hancheng Ge (Soc. Netw. Anal. Min., 2015)

Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information. - Kyumin Lee; Jalal Mahmud; Jilin Chen; Michelle X. Zhou; Jeffrey Nichols 001 (ACM Trans. Intell. Syst. Technol., 2015)

Detecting malicious campaigns in crowdsourcing platforms. - Hongkyu Choi; Kyumin Lee; Steve Webb (ASONAM, 2016)

Understanding citizen reactions and Ebola-related information propagation on social media. - Thanh Tran 005; Kyumin Lee (ASONAM, 2016)

Uncovering Fake Likers in Online Social Networks. - Prudhvi Ratna Badri Satya; Kyumin Lee; Dongwon Lee 001; Thanh Tran 005; Jason (Jiasheng) Zhang (CIKM, 2016)

Exploring Learning Management System Interaction Data: Combining Data-driven and Theory-driven Approaches. - Hongkyu Choi; Ji Eun Lee; Won-Joon Hong; Kyumin Lee; Mimi Recker; Andy Walker (EDM, 2016)

How to Succeed in Crowdfunding: a Long-Term Study in Kickstarter. - Thanh Tran 005; Madhavi R. Dontham; Jinwook Chung; Kyumin Lee (CoRR, 2016)

Detecting experts on Quora: by their activity, quality of answers, linguistic characteristics and temporal behaviors. - Sumanth Patil; Kyumin Lee (Soc. Netw. Anal. Min., 2016)

Identifying On-time Reward Delivery Projects with Estimating Delivery Duration on Kickstarter. - Thanh Tran 005; Kyumin Lee; Nguyen Vo; Hongkyu Choi (ASONAM, 2017)

Revealing and Detecting Malicious Retweeter Groups. - Nguyen Vo; Kyumin Lee; Cheng Cao; Thanh Tran 005; Hongkyu Choi (ASONAM, 2017)

MRAttractor: Detecting communities from large-scale graphs. - Nguyen Vo; Kyumin Lee; Thanh Tran 005 (IEEE BigData, 2017)

Characteristics of On-Time and Late Reward Delivery Projects. - Thanh Tran 005; Kyumin Lee (ICWSM, 2017)

Understanding Temporal Backing Patterns in Online Crowdfunding Communities. - Yiming Liao; Thanh Tran 005; Dongwon Lee 001; Kyumin Lee (WebSci, 2017)

Predicting Highly Rated Crowdfunded Products. - Vishal Sharma 005; Kyumin Lee (ASONAM, 2018)

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. - Thanh Tran 005; Kyumin Lee; Yiming Liao; Dongwon Lee 001 (CIKM, 2018)

A Comparison of Penalized Regressions for Estimating Directed Acyclic Networks. - Kyu Min Lee; Sung Won Han; Hyungbin Yun (ICUFN, 2018)

The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News. - Nguyen Vo; Kyumin Lee (SIGIR, 2018)

Building a task blacklist for online social platforms. - Trang Ha; Quyen Hoang; Kyumin Lee (ASONAM, 2019)

Detecting Fake News Articles. - Jun Lin; Glenna Tremblay-Taylor; Guanyi Mou; Di You; Kyumin Lee (IEEE BigData, 2019)

Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation. - Di You; Nguyen Vo; Kyumin Lee; Qiang Liu (CIKM, 2019)

A High Speed Solar MPPT Controller Design. - Kyuil Hwang; Kyumin Lee; Ilsong Kim (ISIE, 2019)

Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation. - Thanh Tran 005; Renee Sweeney; Kyumin Lee (SIGIR, 2019)

Learning from Fact-checkers: Analysis and Generation of Fact-checking Language. - Nguyen Vo; Kyumin Lee (SIGIR, 2019)

Signed Distance-based Deep Memory Recommender. - Thanh Tran 005; Xinyue Liu 003; Kyumin Lee; Xiangnan Kong (WWW, 2019)

Regression-Based Network Estimation for High-Dimensional Genetic Data. - Kyu Min Lee; Minhyeok Lee; Junhee Seok; Sung Won Han (J. Comput. Biol., 2019)

SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection. - Guanyi Mou; Pengyi Ye; Kyumin Lee (CIKM, 2020)

Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation. - Thanh Tran 005; Di You; Kyumin Lee (CIKM, 2020)

Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification. - Shyam Subramanian; Kyumin Lee (EMNLP (1), 2020)

HABERTOR: An Efficient and Effective Deep Hatespeech Detector. - Thanh Tran 005; Yifan Hu 001; Changwei Hu; Kevin Yen; Fei Tan 002; Kyumin Lee; Se Rim Park (EMNLP (1), 2020)

Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News. - Nguyen Vo; Kyumin Lee (EMNLP (1), 2020)

Malicious Bot Detection in Online Social Networks: Arming Handcrafted Features with Deep Learning. - Guanyi Mou; Kyumin Lee (SocInfo, 2020)

Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection. - Yichuan Li 001; Kyumin Lee; Nima Kordzadeh; Brenton D. Faber; Cameron Fiddes; Elaine Chen; Kai Shu (IEEE BigData, 2021)

An Effective, Robust and Fairness-aware Hate Speech Detection Framework. - Guanyi Mou; Kyumin Lee (IEEE BigData, 2021)

Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification. - Guanyi Mou; Yichuan Li 001; Kyumin Lee (IEEE BigData, 2021)

Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection. - Nguyen Vo; Kyumin Lee (EACL, 2021)

Popularity versus quality: analyzing and predicting the success of highly rated crowdfunded projects on Amazon. - Vishal Sharma 005; Kyumin Lee; Curtis E. Dyreson (Computing, 2021)

Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports. - Devin Coughlin; Maylee Gagnon; Victoria Grasso; Guanyi Mou; Kyumin Lee; Renata Konrad; Patricia Raxter; Meredith Gore (ASONAM, 2022)

Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection. - Kyumin Lee; Guanyi Mou; Scott Sievert (IEEE Big Data, 2022)

Multi-Behavior Recommendation with Hyperbolic Geometry. - Di You; Thanh Tran 005; Kyumin Lee (IEEE Big Data, 2022)

GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs. - Yichuan Li 001; Kaize Ding; Kyumin Lee (EMNLP (Findings), 2023)

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness. - Yichuan Li 001; Jialong Han; Kyumin Lee; Chengyuan Ma; Benjamin Z. Yao; Xiaohu Liu (EMNLP (Findings), 2023)

Toward Designing Effective Warning Labels for Health Misinformation on Social Media. - Huma Varzgani; Nima Kordzadeh; Kyumin Lee (HICSS, 2023)

What Boosts Fake News Dissemination on Social Media? A Causal Inference View. - Yichuan Li 001; Kyumin Lee; Nima Kordzadeh; Ruocheng Guo (PAKDD (4), 2023)

Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition. - Wen Ge; Guanyi Mou; Emmanuel O. Agu; Kyumin Lee (PerCom Workshops, 2023)

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness. - Yichuan Li 001; Jialong Han; Kyumin Lee; Chengyuan Ma; Benjamin Z. Yao; Derek Liu (CoRR, 2023)

Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition. - Wen Ge; Guanyi Mou; Emmanuel O. Agu; Kyumin Lee (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Empowering Large Language Models for Textual Data Augmentation. - Yichuan Li 001; Kaize Ding; Jianling Wang; Kyumin Lee (ACL (Findings), 2024)

Context-Aware Diffusion-based Sequential Recommendation. - Di You; Kyumin Lee (IEEE Big Data, 2024)

ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation. - Xiaofan Zhou; Kyumin Lee (IEEE Big Data, 2024)

Alleviating Confounding Effects with Contrastive Learning in Recommendation. - Di You; Kyumin Lee (ECIR (2), 2024)

Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. - Zhengyu Hu; Yichuan Li 001; Zhengyu Chen 001; Jingang Wang; Han Liu; Kyumin Lee; Kaize Ding (EMNLP (Findings), 2024)

MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning. - Yichuan Li 001; Xiyao Ma; Sixing Lu; Kyumin Lee; Xiaohu Liu; Chenlei Guo (ICLR, 2024)

Contrastive Learning with Auxiliary User Detection for Identifying Activities. - Wen Ge; Guanyi Mou; Emmanuel O. Agu; Kyumin Lee (ICMLA, 2024)

Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. - Guanyi Mou; Yun Yue; Kyumin Lee; Ziming Zhang (ICWSM, 2024)

ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. - Yichuan Li 001; Xinyang Zhang 002; Chenwei Zhang; Mao Li; Tianyi Liu; Pei Chen; Yifan Gao 001; Kyumin Lee; Kaize Ding; Zhengyang Wang; Zhihan Zhang 001; Jingbo Shang; et al. (NAACL (Long Papers), 2025)

FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique. - Zhuang Luo; Yichuan Li 001; Zexing Xu; Kyumin Lee; S. Rasoul Etesami 001 (NAACL (Findings), 2025)

Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition. - Wen Ge; Guanyi Mou; Emmanuel O. Agu; Kyumin Lee (PerCom, 2025)

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models. - Zexing Xu; Zhuang Luo; Yichuan Li 001; Kyumin Lee; S. Rasoul Etesami 001 (CoRR, 2025)