| 2026 | EACL | ToxiPrompt: A Two-Stage Red-Teaming Approach for Balancing Adversarial Prompt Diversity and Response Toxicity. | Seungho Lee, Kyumin Lee |
| 2025 | EMNLP | StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models. | Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu |
| 2025 | NAACL | ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. | Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Tianyi Liu, Pei Chen, Yifan Gao, Kyumin Lee, Kaize Ding, Zhengyang Wang, Zhihan Zhang, Jingbo Shang, Xian Li, Trishul Chilimbi |
| 2025 | NAACL | FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique. | Zhuang Luo, Yichuan Li, Zexing Xu, Kyumin Lee, S. Rasoul Etesami |
| 2025 | PERCOM | Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition. | Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee |
| 2024 | ACL | Empowering Large Language Models for Textual Data Augmentation. | Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee |
| 2024 | ECIR | Alleviating Confounding Effects with Contrastive Learning in Recommendation. | Di You, Kyumin Lee |
| 2024 | EMNLP | Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. | Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding |
| 2024 | ICLR | MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning. | Yichuan Li, Xiyao Ma, Sixing Lu, Kyumin Lee, Xiaohu Liu, Chenlei Guo |
| 2024 | ICMLA | Contrastive Learning with Auxiliary User Detection for Identifying Activities. | Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee |
| 2024 | ICWSM | 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 |
| 2023 | EMNLP | GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs. | Yichuan Li, Kaize Ding, Kyumin Lee |
| 2023 | EMNLP | KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness. | Yichuan Li, Jialong Han, Kyumin Lee, Chengyuan Ma, Benjamin Z. Yao, Xiaohu Liu |
| 2023 | PAKDD | What Boosts Fake News Dissemination on Social Media? A Causal Inference View. | Yichuan Li, Kyumin Lee, Nima Kordzadeh, Ruocheng Guo |
| 2023 | PERCOM | Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition. | Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee |
| 2021 | EACL | Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection. | Nguyen Vo, Kyumin Lee |
| 2020 | CIKM | SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection. | Guanyi Mou, Pengyi Ye, Kyumin Lee |
| 2020 | CIKM | Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation. | Thanh Tran, Di You, Kyumin Lee |
| 2020 | EMNLP | Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification. | Shyam Subramanian, Kyumin Lee |
| 2020 | EMNLP | HABERTOR: An Efficient and Effective Deep Hatespeech Detector. | Thanh Tran, Yifan Hu, Changwei Hu, Kevin Yen, Fei Tan, Kyumin Lee, Se Rim Park |
| 2020 | EMNLP | Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News. | Nguyen Vo, Kyumin Lee |
| 2019 | CIKM | Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation. | Di You, Nguyen Vo, Kyumin Lee, Qiang Liu |
| 2019 | WWW | Signed Distance-based Deep Memory Recommender. | Thanh Tran, Xinyue Liu, Kyumin Lee, Xiangnan Kong |
| 2019 | SIGIR | Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation. | Thanh Tran, Renee Sweeney, Kyumin Lee |
| 2019 | SIGIR | Learning from Fact-checkers: Analysis and Generation of Fact-checking Language. | Nguyen Vo, Kyumin Lee |
| 2018 | CIKM | Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. | Thanh Tran, Kyumin Lee, Yiming Liao, Dongwon Lee |
| 2018 | SIGIR | The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News. | Nguyen Vo, Kyumin Lee |
| 2017 | ICWSM | Characteristics of On-Time and Late Reward Delivery Projects. | Thanh Tran, Kyumin Lee |
| 2016 | CIKM | Uncovering Fake Likers in Online Social Networks. | Prudhvi Ratna Badri Satya, Kyumin Lee, Dongwon Lee, Thanh Tran, Jason (Jiasheng) Zhang |
| 2016 | EDM | 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 |
| 2015 | CIKM | Organic or Organized?: Exploring URL Sharing Behavior. | Cheng Cao, James Caverlee, Kyumin Lee, Hancheng Ge, Jin-Wook Chung |
| 2015 | ICWSM | Crowds, Gigs, and Super Sellers: A Measurement Study of a Supply-Driven Crowdsourcing Marketplace. | Hancheng Ge, James Caverlee, Kyumin Lee |
| 2015 | SIGIR | Uncovering Crowdsourced Manipulation of Online Reviews. | Amir Fayazi, Kyumin Lee, James Caverlee, Anna Cinzia Squicciarini |
| 2014 | ICWSM | The Dark Side of Micro-Task Marketplaces: Characterizing Fiverr and Automatically Detecting Crowdturfing. | Kyumin Lee, Steve Webb, Hancheng Ge |
| 2014 | IUI | 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 |
| 2014 | WWW | Social spam, campaigns, misinformation and crowdturfing. | Kyumin Lee, James Caverlee, Calton Pu |
| 2013 | ICWSM | Combating Threats to Collective Attention in Social Media: An Evaluation. | Kyumin Lee, Krishna Yeswanth Kamath, James Caverlee |
| 2013 | ICWSM | Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media. | Kyumin Lee, Prithivi Tamilarasan, James Caverlee |
| 2013 | WWW | Spatio-temporal dynamics of online memes: a study of geo-tagged tweets. | Krishna Yeswanth Kamath, James Caverlee, Kyumin Lee, Zhiyuan Cheng |
| 2012 | WWW | Detecting collective attention spam. | Kyumin Lee, James Caverlee, Krishna Yeswanth Kamath, Zhiyuan Cheng |
| 2011 | CIKM | Toward traffic-driven location-based web search. | Zhiyuan Cheng, James Caverlee, Krishna Yeswanth Kamath, Kyumin Lee |
| 2011 | CIKM | Content-driven detection of campaigns in social media. | Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel Z. Sui |
| 2011 | ICWSM | Exploring Millions of Footprints in Location Sharing Services. | Zhiyuan Cheng, James Caverlee, Kyumin Lee, Daniel Z. Sui |
| 2011 | ICWSM | Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter. | Kyumin Lee, Brian David Eoff, James Caverlee |
| 2010 | CIKM | You are where you tweet: a content-based approach to geo-locating twitter users. | Zhiyuan Cheng, James Caverlee, Kyumin Lee |
| 2010 | ICWSM | Devils, Angels, and Robots: Tempting Destructive Users in Social Media. | Kyumin Lee, Brian David Eoff, James Caverlee |
| 2010 | WWW | The social honeypot project: protecting online communities from spammers. | Kyumin Lee, James Caverlee, Steve Webb |
| 2010 | SIGIR | Uncovering social spammers: social honeypots + machine learning. | Kyumin Lee, James Caverlee, Steve Webb |