Refereed Conference and Workshop Publications
D. You, and K. Lee. Alleviating Confounding Effects with Contrastive Learning in Recommendation, ECIR 2024
Y. Li, K. Ding, and K. Lee. GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs, EMNLP Findings 2023
Y. Li, J. Han, K. Lee, C. Ma, B. Yao, and D. Liu. KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness, EMNLP Findings 2023
Y. Li, K. Lee, N. Kordzadeh, and R. Guo. What Boosts Fake News Dissemination on Social Media? A Causal Inference View, PAKDD 2023
W. Ge, G.uanyi Mou, E. O. Agu, and K. Lee. Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition, PerCom 2023
H. Varzgani, N. Kordzadeh, and K. Lee. Toward Designing Effective Warning Labels for Health Misinformation on Social Media, HICSS 2023.
D. You, and K. Lee. Multi-Behavior Recommendation with Hyperbolic Geometry, BigData 2022.
K. Lee, G. Mou, and S. Sievert. Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection, BigData 2022.
D. Coughlin, M. Gagnon, V. Grasso, G. Mou, K. Lee, R. Konrad, P. Raxter, and M. Gore, Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports, ASONAM 2022.
G. Mou, Y. Li, and K. Lee. Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification. BigData 2021.
G. Mou, and K. Lee. An Effective, Robust and Fairness-aware Hate Speech Detection Framework. BigData 2021.
Y. Li, K. Lee, N. Kordzadeh, B. Faber, C. Fiddes, E. Chen, and K. Shu. Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection. BigData 2021.
N. Vo, and K. Lee. Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection. EACL 2021.
N. Vo, and K. Lee. Where are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News. EMNLP 2020.
T. Tran, Y. Hu, C. Hu, K. Yen, F. Tan, K. Lee, and S. R. Park. HABERTOR: An Efficient and Effective Deep Hatespeech Detector. EMNLP 2020.
S. Subramanian, and K. Lee. Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification. EMNLP 2020.
G. Mou, P. Ye, and K. Lee. SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection. CIKM 2020.
T. Tran, D. You, and K. Lee. Quaternion-based self-Attentive Long Short-term User Preference Encoding for Recommendation. CIKM 2020.
G. Mou, and K. Lee. Malicious Bot Detection in Online Social Networks: Arming Handcrafted Features with Deep Learning. SocInfo 2020.
D. You, N. Vo., K. Lee, and Q. Liu. Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation. CIKM 2019.
J. Lin, G. Taylor, G. Mou, D. You, and K. Lee. Detecting Fake News Articles (short). REU Symposium at IEEE BigData 2019.
T. Ha, Q. Hoang, and K. Lee. Building a Task Blacklist for Online Social Platforms (demo). ASONAM 2019.
T. Tran, R. Sweeney, and K. Lee. Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation. SIGIR 2019.
N. Vo, and K. Lee. Learning from Fact-checkers: Analysis and Generation of Fact-checking Language. SIGIR 2019.
T. Tran, X. Liu, K. Lee, and X. Kong. Signed Distance-based Deep Memory Recommender. WWW, 2019.
T. Tran, K. Lee, Y. Liao, and D. Lee. Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. CIKM, 2018.
V. Sharma, and K. Lee. Predicting Highly Rated Crowdfunded Products. ASONAM, August, 2018.
N. Vo, and K. Lee. The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News. SIGIR, July 2018.
N. Vo, K. Lee, and T. Tran. MRAttractor: Detecting Communities from Large-Scale Graphs. Big Data, December 2017.
T. Tran, K. Lee, N. Vo, and H. Choi. Identifying On-time Reward Delivery Projects with Estimating Delivery Duration on Kickstarter. ASONAM, July 2017.
N. Vo, K. Lee, C. Cao, T. Tran, and H. Choi. Revealing and Detecting Malicious Retweeter Groups. ASONAM, July 2017.
Y. Liao, T. Tran, D. Lee, and K. Lee. Understanding Temporal Backing Patterns in Online Crowdfunding Communities. WebSci, June 2017.
T. Tran, and K. Lee. Characteristics of On-time and Late Reward Delivery Projects. ICWSM, May 2017.
P. Badri, K. Lee, D. Lee, T. Tran, and J. Zhang. Uncovering Fake Likers in Online Social Networks. CIKM, October 2016.
H. Choi, K. Lee, and S. Webb. Detecting Malicious Campaigns in Crowdsourcing Platforms. ASONAM, August 2016.
T. Tran, and K. Lee. Understanding Citizen Reactions and Ebola-Related Information Propagation on Social Media. ASONAM, August 2016.
H. Choi, J. E. Lee, W. Hong, K. Lee, M. Recker, and A. Walker. Exploring Learning Management System Interaction Data: Combining Data-driven and Theory-driven Approaches. EDM. June, 2016.
M. Rajdev, and K. Lee. Fake and Spam Messages: Detecting Misinformation during Natural Disasters on Social Media (short paper). WI. December 2015.
C. Cao, J. Caverle, K. Lee, J. Chung, and H. Ge. Organic or Organized? Exploring URL Sharing Behavior. CIKM. October 2015. [18%]
J. Chung, and K. Lee. A Long-Term Study of a Crowdfunding Platform: Predicting Project Success and Fundraising Amount. HT. Cyprus, September 2015.
A. Fayazi, K. Lee, J. Caverlee, and A. Squicciarini. Uncovering Crowdsourced Manipulation of Online Reviews. SIGIR. Santiago, August 2015. [20%]
H. Ge, J. Caverlee, and K. Lee. Crowds, Gigs, and Super Sellers: A Measurement Study of a Supply-Driven Crowdsourcing Marketplace. ICWSM. Oxford, May 2015. [19%]
K. Lee, S. Webb, and H. Ge. The Dark Side of Micro-Task Marketplaces: Characterizing Fiverr and Automatically Detecting Crowdturfing. 8th International AAAI Conference on Weblogs and Social Media (ICWSM). Ann Arbor, June 2014. [23%]
V. Sharma, K. Lee, and J. Chung. Recommending Prime Spots of a Destination and Time to Visit from Geo-tagged Social Data (short paper). C-Big Workshop at CollaborateCom, 2014.
K. Lee, J. Mahmud, J. Chen, M. Zhou, and J. Nichols. Who Will Retweet This? Automatically Identifying and Engaging Strangers on Twitter to Spread Information. 19th ACM International Conference on Intelligent User Interfaces (IUI). Haifa, Israel, February 2014. (best paper nominee) [24%]
K. Lee, P. Tamilarasan, and J. Caverlee. Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media. 7th International AAAI Conference on Weblogs and Social Media (ICWSM). Boston, July 2013. [20%]
K. Lee, K. Kamath, and J. Caverlee. Combating Threats to Collective Attention in Social Media: An Evaluation. 7th International AAAI Conference on Weblogs and Social Media (ICWSM). Boston, July 2013. [20%]
K. Kamath, J. Caverlee, K. Lee, and Z. Cheng. Spatio-Temporal Dynamics of Online Memes: A Study of Geo-Tagged Tweets. 22nd International World Wide Web Conference (WWW). Rio de Janeiro, May 2013. [15%] (Dataset)
K. Lee, J. Caverlee, K. Kamath, and Z. Cheng. Detecting Collective Attention Spam. WebQuality Workshop (WWW), 2012.
Z. Cheng, J. Caverlee, K. Kamath, and K. Lee. Toward Traffic-Driven Location-Based Web Search. 20th ACM International Conference on Information and Knowledge Management (CIKM). Glasgow, October 2011. [15%]
K. Lee, J. Caverlee, Z. Cheng, and D. Sui. Content-Driven Detection of Campaigns in Social Media (short paper). 20th ACM International Conference on Information and Knowledge Management (CIKM). Toronto, October 2011. [25%]
Z. Cheng, J. Caverlee, K. Lee, and D. Sui. Exploring Millions of Footprints in Location Sharing Services. 5th International AAAI Conference on Weblogs and Social Media (ICWSM). Barcelona, July 2011. [23%] (Dataset)
K. Lee, B. Eoff, and J. Caverlee. Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter. 5th International AAAI Conference on Weblogs and Social Media (ICWSM). Barcelona, July 2011. [23%] (Dataset, press)
Z. Cheng, J. Caverlee, and K. Lee. You Are Where You Tweet: A Content-Based Approach to Geo-locating Twitter Users. 19th ACM International Conference on Information and Knowledge Management (CIKM). Toronto, October 2010. [13%] (Dataset)
K. Lee, B. Eoff, and J. Caverlee. Devils, Angels, and Robots: Tempting Destructive Users in Social Media (short paper). 4th International AAAI Conference on Weblogs and Social Media (ICWSM). Washington, DC, May 2010.
K. Lee, J. Caverlee, and S. Webb. Uncovering Social Spammers: Social Honeypots + Machine Learning. 33rd Annual ACM SIGIR Conference. Geneva, July 2010. [17%]
K. Lee, J. Caverlee, and S. Webb. The Social Honeypot Project: Protecting Online Communities from Spammers (poster). International World Wide Web Conference (WWW). Raleigh, April 2010.
D. Kim, G. Lee, K. Lee, S. Heo, K. Choi and D. Shin. Design and Implementation of Efficient Directory Facilitator for Context-Aware Service Discovery. 1st Springer KES International Symposium on Agent and Multi-Agent Systems (KES-AMSTA). Wroclaw, 2007. [23.7%]
D. Kim, G. Lee, K. Lee, S. Heo, K. Choi, and D. Shin. Design and Implementation of Advanced Directory Facilitator for Efficient Searching (short paper). 9th IEEE International Conference on Advanced Communication Technology (ICACT). Pyeongchang, 2007.
K. Lee, D. Kim, K. Choi, and D. Shin. Web-Based Integrated Service Discovery Using Agent Platform for Pervasive Computing Environments (short paper). 7th Springer International Conference on Computational Science (ICCS). Beijing, 2007.
K. Lee, H. Kim, H. Shin, and D. Shin. Design and Implementation of Middleware for Context-Aware Service Discovery in Ubiquitous Computing Environments. 6th Springer International Conference on Computational Science and Its Applications (ICCSA). Glasgow, 2006.
D. Kim, K. Lee, K. Choi, and D. Shin. A Mobile and Wireless Healthcare System based on Agent Platform for Ubiquitous Networks. IEEE Joint International Conference on Optical Internet and Next Generation Network (COIN-NGNCON). Jeju, 2006
B. Han, S. Song, K. Lee, K. Jang, and D. Shin. Multi-Agent System based Efficient Healthcare Service. 8th IEEE International Conference on Advanced Communication Technology (ICACT). Pyeongchang, 2006.
H. Kim, K. Lee, K. Choi, and D. Shin. Agent-based Service Discovery Middleware in Ubiquitous Environments (short paper). 6th Springer International Conference on Computational Science (ICCS). Reading, 2006.
K. Lee, H. Kim, K. Choi, and D. Shin. An Intelligent Middleware Architecture for Context-aware Service Discovery (short paper). 6th Springer International Conference on Computational Science (ICCS). Reading, 2006.
K. Choi, K. Lee, S. Lee, and D. Shin. Efficient Algorithm for Service Matchmaking in Ubiquitous Environments. 6th Springer International Conference on Electronic Commerce and Web Technologies (EC-Web). Copenhagen, 2005. [28%]
H. Kim, K. Lee, K. Choi and D. Shin. Service Discovery using FIPA-Compliant AP to Support Scalability in Ubiquitous Environments. 4th Annual IEEE ACIS International Conference on Computer and Information Science (ICIS). Jeju, 2005.
K. Lee, K. Choi, S. Her and D. Shin. Matchmaking Algorithms to Improve Dynamic Service Matching in Ubiquitous Environments. 4th Annual IEEE ACIS International Conference on Computer and Information Science (ICIS). Jeju, 2005.
S. Shuo, K. Lee, and D. Shin. SDRP: A Service Discovery with Routing Protocol for MANETs. 20th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC). Jeju, 2005.
Refereed Journal Publications
W. Ge, G. Mou, E. Agu, and K. Lee. Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition. ACM IMWUT, December 2023.
V. Sharma, K. Lee, and C. Dyreson. Popularity versus quality: analyzing and predicting the success of highly rated crowdfunded projects on Amazon. Computing 2021.
X. Guo, K. Lee, Z. Wang, and Shichao Liu. Occupants Satisfaction with LEED- and Non-LEED-Certified Apartments Using Social Media Data, Building and Environment, 2021.
E. Lee, M. M. Recker, H. Choi, W. J. Hong, N. J. Kim, K. Lee, M. Lefler, J. Louviere, and A. Walker. Applying Data Mining Methods to Understand User Interactions within Learning Management Systems: Approaches and Lessons Learned. Journal of Educational Technology Development and Exchange, Vol. 8, No. 2, 2016.
S. Patil, and K. Lee. Detecting Experts on Quora: by their Activity, Quality of Answers, Linguistic Characteristics and Temporal Behaviors. Springer Social Network Analysis and Mining, Vol. 6, No. 1, 2016.
K. Lee, J. Mahmud, J. Chen, M. Zhou, and J. Nichols. Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information. ACM Transactions on Intelligent Systems and Technology (ACM TIST), Vol. 6, No. 3, April 2015. [impact factor: 9.39]
K. Lee, S. Webb, and H. Ge. Characterizing and Automatically Detecting Crowdturfing in Fiverr and Twitter. Springer Social Network Analysis and Mining, Vol. 5, No. 1, Januaray 2015.
K. Lee, J. Caverlee, Z. Cheng, D. Z. Sui. Campaign Extraction from Social Media. ACM Transactions on Intelligent Systems and Technology (ACM TIST), Vol. 5, No. 1, January 2014. [impact factor: 9.39]
Z. Cheng, J. Caverlee, and K. Lee. A Content-Driven Framework for Geo-locating Microblog Users. ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 4, No. 1, January 2013. [impact factor: 9.39]
S. Shuo, K. Lee, and D. Shin. SDRP: A Service Discovery with Routing Protocol for MANETs. IEICE Transactions on Fundamentals of Electronics, Communications, and Computer Sciences, Vol.E89-A, No.6, June 2006, pp. 1746-1748. (Selected from ITC-CSCC 2005 paper)
Book Chapters
N. Vo, and K. Lee. "Standing on the Shoulders of Guardians: Novel Methodologies to Combat Fake News". Disinformation, Misinformation, and Fake News in Social Media, 2020.
J. Caverlee, and K. Lee. "Weaponized Crowdsourcing: An Emerging Threat and Potential Countermeasures". Transparency in Social Media, 2015.
D. Wang, S. Webb, K. Lee, J. Caverlee, and C. Pu. "Granular Computing System Vulnerabilities: Exploring the Dark Side of Social Networking Communities". To appear in Encyclopedia of Complexity and Systems Science, 2nd Edition, 2015.
Invited Paper
J. Caverlee, Z. Cheng, B. Eoff, C. Hsu, K. Kamath, S. Kashoob, J. Kelley, E. Khabiri, K. Lee. SocialTrust++: Building community-based trust in Social Information Systems (invited paper). 6th International Conference on Collaborative Computing (CollaborateCom). Chicago, October 2010.