Dongwon Lee

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 135

Top Venues

Publications

Michiharu Yamashita, Thanh Tran, Dongwon Lee
Fake Resume Attacks: Data Poisoning on Online Job Platforms. WWW (2024)
Haeseung Seo, Sian Lee, Dongwon Lee, Aiping Xiong
Reliability Matters: Exploring the Effect of AI Explanations on Misinformation Detection with a Warning. ICWSM (2024)
Saranya Venkatraman, Nafis Irtiza Tripto, Dongwon Lee
CollabStory: Multi-LLM Collaborative Story Generation and Authorship Analysis. CoRR (2024)
Wooyong Jung, Nishant Asati, Phuong (Lucy) Doan, Thai Le, Aiping Xiong, Dongwon Lee
The Strange Case of Jekyll and Hyde: Analysis of R/ToastMe and R/RoastMe Users on Reddit. ICWSM (2024)
Mahjabin Nahar, Haeseung Seo, Eun-Ju Lee, Aiping Xiong, Dongwon Lee
Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations. CoRR (2024)
Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection. CoRR (2024)
Xianren Zhang, Dongwon Lee, Suhang Wang
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector. CoRR (2024)
Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková
Authorship Obfuscation in Multilingual Machine-Generated Text Detection. CoRR (2024)
Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee
ALISON: Fast and Effective Stylometric Authorship Obfuscation. AAAI (2024)
Michiharu Yamashita, Thanh Tran, Dongwon Lee
Fake Resume Attacks: Data Poisoning on Online Job Platforms. CoRR (2024)
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. ACL (1) (2024)
Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee
ALISON: Fast and Effective Stylometric Authorship Obfuscation. CoRR (2024)
Jason Samuel Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation. CoRR (2023)
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. CoRR (2023)
Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra Alqahtani
A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents. Auton. Agents Multi Agent Syst. 37 (2) (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis. CoRR (2023)
Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao Kenneth Huang, Dongwon Lee
Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts. CoRR (2023)
Ziyao Wang, Thai Le, Dongwon Lee
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning. EMNLP (Findings) (2023)
Thai Le, Ye Yiran, Yifan Hu, Dongwon Lee
CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. CoRR (2023)
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. CoRR (2023)
Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim
LANCER: A Lifetime-Aware News Recommender System. AAAI (2023)
Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee
Do Language Models Plagiarize? WWW (2023)
Thai Le, Yiran Ye, Yifan Hu, Dongwon Lee
CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. ICDE (2023)
Maya Merhi, Sarah Rajtmajer, Dongwon Lee
Information Operations in Turkey: Manufacturing Resilience with Free Twitter Accounts. ICWSM (2023)
Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis. EMNLP (Findings) (2023)
Sian Lee, Haeseung Seo, Dongwon Lee, Aiping Xiong
Associative Inference Can Increase People's Susceptibility to Misinformation. ICWSM (2023)
Ethan Prihar, Aaron Haim, Tracy Jia Shen, Adam Sales, Dongwon Lee, Xintao Wu, Neil T. Heffernan
Investigating the Impact of Skill-Related Videos on Online Learning. L@S (2023)
Adaku Uchendu, Thai Le, Dongwon Lee
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. SIGKDD Explor. 25 (1) (2023)
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. EMNLP (2023)
Yiran Ye, Thai Le, Dongwon Lee
NoisyHate: Benchmarking Content Moderation Machine Learning Models with Human-Written Perturbations Online. CoRR (2023)
Saranya Venkatraman, Adaku Uchendu, Dongwon Lee
GPT-who: An Information Density-based Machine-Generated Text Detector. CoRR (2023)
Jia Tracy Shen, Dongwon Lee
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks. CoRR (2023)
Michiharu Yamashita, Jia Tracy Shen, Thanh Tran, Hamoon Ekhtiari, Dongwon Lee
JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning. DSAA (2023)
Adaku Uchendu, Thai Le, Dongwon Lee
TopRoBERTa: Topology-Aware Authorship Attribution of Deepfake Texts. CoRR (2023)
Jason Samuel Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation. EMNLP (2023)
Limeng Cui, Dongwon Lee
KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums. SIGIR (2022)
Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy. IJCAI (2022)
Adaku Uchendu, Thai Le, Dongwon Lee
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. CoRR (2022)
Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. AAAI (2022)
Haeseung Seo, Aiping Xiong, Sian Lee, Dongwon Lee
If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation. ICWSM (2022)
Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee
Do Language Models Plagiarize? CoRR (2022)
Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee
ALLIE: Active Learning on Large-scale Imbalanced Graphs. WWW (2022)
Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. CIKM (2022)
Thai Le, Jooyoung Lee, Kevin Yen, Yifan Hu, Dongwon Lee
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense. CoRR (2022)
Ziyao Wang, Thai Le, Dongwon Lee
UPTON: Unattributable Authorship Text via Data Poisoning. CoRR (2022)
Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. ICDM (2022)
Yun-Yong Ko, Dongwon Lee, Sang-Wook Kim
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training. WWW (2022)
Thai Le, Jooyoung Lee, Kevin Yen, Yifan Hu, Dongwon Lee
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense. ACL (Findings) (2022)
Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan
Achieving User-Side Fairness in Contextual Bandits. Hum. Centric Intell. Syst. 2 (3-4) (2022)
Joe McCalmon, Thai Le, Sarra Alqahtani, Dongwon Lee
CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents. AAMAS (2022)
Thai Le, Noseong Park, Dongwon Lee
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher. ACL (1) (2022)
Thai Le, Long Tran-Thanh, Dongwon Lee
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. WWW (2022)
Youngseung Jeon, Bogoan Kim, Aiping Xiong, Dongwon Lee, Kyungsik Han
ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation System. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation. EMNLP (Findings) (2021)
Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. ICDM (2021)
Wonchang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks. SIGIR (2021)
Yiming Liao, Shuguang Wang, Dongwon Lee
WILSON: A Divide and Conquer Approach for Fast and Effective News Timeline Summarization. EDBT (2021)
Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation. CoRR (2021)
Tianyi Xie, Thai Le, Dongwon Lee
CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-teaching. ECML/PKDD (5) (2021)
Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. CIKM (2021)
Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
Large-Scale Data-Driven Airline Market Influence Maximization. CoRR (2021)
Thai Le, Noseong Park, Dongwon Lee
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks. ACL/IJCNLP (1) (2021)
Minjin Choi, Sunkyung Lee, Eunseong Choi, Heesoo Park, Junhyuk Lee, Dongwon Lee, Jongwuk Lee
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories. NAACL-HLT (2021)
Thai Le, Long Tran-Thanh, Dongwon Lee
Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. CoRR (2021)
Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
Large-Scale Data-Driven Airline Market Influence Maximization. KDD (2021)
Minjin Choi, Sunkyung Lee, Eunseong Choi, Heesoo Park, Junhyuk Lee, Dongwon Lee, Jongwuk Lee
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories. CoRR (2021)
Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav
A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. KDD (2021)
Maria D. Molina, S. Shyam Sundar, Md Main Uddin Rony, Naeemul Hassan, Thai Le, Dongwon Lee
Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read. CHI (2021)
Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav
Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers. KDD (2020)
Jason (Jiasheng) Zhang, Dongwon Lee
TOMATO: A Topic-Wise Multi-Task Sparsity Model. CIKM (2020)
Limeng Cui, Dongwon Lee
CoAID: COVID-19 Healthcare Misinformation Dataset. CoRR (2020)
Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida
Making AI Machines Work for Humans in FoW. SIGMOD Rec. 49 (2) (2020)
Sian Lee, Joshua P. Forrest, Jessica Strait, Haeseung Seo, Dongwon Lee, Aiping Xiong
Beyond Cognitive Ability: Susceptibility to Fake News Is Also Explained by Associative Inference. CHI Extended Abstracts (2020)
Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee
Authorship Attribution for Neural Text Generation. EMNLP (1) (2020)
Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. CoRR (2020)
Thai Le, Suhang Wang, Dongwon Lee
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. KDD (2020)
Junho Song, Kyungsik Han, Dongwon Lee, Sang-Wook Kim
Understanding emotions in SNS images from posters' perspectives. SAC (2020)
Jason (Jiasheng) Zhang, Dongwon Lee
PROMO for Interpretable Personalized Social Emotion Mining. ECML/PKDD (1) (2020)
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. Big Data 8 (3) (2020)
Thai Le, Noseong Park, Dongwon Lee
SIENA: Stochastic Multi-Expert Neural Patcher. CoRR (2020)
Jingtao Han, Spyke Krepshaw, Dongwon Lee
Gatekeeper: Analyzing G-Indexes and Improving Service Quantification. JCDL (2020)
Thai Le, Suhang Wang, Dongwon Lee
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. ICDM (2020)
Thai Le, Noseong Park, Dongwon Lee
Detecting Universal Trigger's Adversarial Attack with Honeypot. CoRR (2020)
Thai Le, Suhang Wang, Dongwon Lee
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. CoRR (2020)
Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. KDD (2020)
Jialin Shao, Adaku Uchendu, Dongwon Lee
A Reverse Turing Test for Detecting Machine-Made Texts. WebSci (2019)
Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang
Constrained Local Graph Clustering by Colored Random Walk. WWW (2019)
Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
dEFEND: A System for Explainable Fake News Detection. CIKM (2019)
Jing Liu, Yudi Chen, Duanshun Li, Noseong Park, Kisung Lee, Dongwon Lee
Predicting Influence Probabilities using Graph Convolutional Networks. IEEE BigData (2019)
Anirudh Narasimman, Qiaozhi Wang, Fengjun Li, Dongwon Lee, Bo Luo
Arcana: Enabling Private Posts on Public Microblog Platforms. SEC (2019)
Limeng Cui, Suhang Wang, Dongwon Lee
SAME: sentiment-aware multi-modal embedding for detecting fake news. ASONAM (2019)
Jiasheng Zhang, Thai Le, Yiming Liao, Dongwon Lee
PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond. ICDM Workshops (2019)
Spyke Krepshaw, Dongwon Lee
Gatekeeper: Quantifying the Impacts of Service to the Scientific Community. TPDL (2019)
Haeseung Seo, Aiping Xiong, Dongwon Lee
Trust It or Not: Effects of Machine-Learning Warnings in Helping Individuals Mitigate Misinformation. WebSci (2019)
Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu
Deep Reinforcement Learning for Personalized Search Story Recommendation. CoRR (2019)
Tracy Jia Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee
How Gullible Are You?: Predicting Susceptibility to Fake News. WebSci (2019)
Adaku Uchendu, Jeffrey Cao, Qiaozhi Wang, Bo Luo, Dongwon Lee
Characterizing Man-made vs. Machine-made Chatbot Dialogs. TTO (2019)
Jongwuk Lee, Won-Seok Hwang, Juan Parc, Youngnam Lee, Sang-Wook Kim, Dongwon Lee
l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items. IEEE Trans. Knowl. Data Eng. 31 (1) (2019)
Thai Le, Kai Shu, Maria D. Molina, Dongwon Lee, S. Shyam Sundar, Huan Liu
5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines. ASONAM (2019)

Dongwon Lee.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Dongwon Lee