| “Fake News” Is Not Simply False Information: A Concept Explication and Taxonomy of Online Content MD Molina, SS Sundar, T Le, D Lee American Behavioral Scientist, 2019 | 92 | 2019 |
| Deep headline generation for clickbait detection K Shu, S Wang, T Le, D Lee, H Liu 2018 IEEE International Conference on Data Mining (ICDM), 467-476, 2018 | 29 | 2018 |
| Machine learning based detection of clickbait posts in social media X Cao, T Le arXiv preprint arXiv:1710.01977, 2017 | 19 | 2017 |
| An Innovative Tour Recommendation System for Tourists in Japan Q Thai LE, D PISHVA The 17th International Conference on Advanced Communications Technology …, 2015 | 16 | 2015 |
| GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction T Le, S Wang, D Lee 26th ACM SIGKDD International Conference on Knowledge Discovery & Data …, 2020 | 11 | 2020 |
| Application of Web Scraping and Google API Service to Optimize Convenience Stores' Distribution Q Thai LE, D PISHVA The 17th International Conference on Advanced Communications Technology …, 2015 | 9 | 2015 |
| MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models T Le, S Wang, D Lee 2020 IEEE International Conference on Data Mining (ICDM), 2020 | 8 | 2020 |
| A Machine-Learning Framework for Automating Well-Log Depth Matching T Le, L Liang, T Zimmermann, S Zeroug, D Heliot Petrophysics-The SPWLA Journal of Formation Evaluation and Reservoir …, 2019 | 8 | 2019 |
| How gullible are you? Predicting susceptibility to fake news TJ Shen, R Cowell, A Gupta, T Le, A Yadav, D Lee Proceedings of the 10th ACM Conference on Web Science, 287-288, 2019 | 8 | 2019 |
| Application of artificial neural network in social media data analysis: a case of lodging business in Philadelphia T Le, P Pardo, W Claster Artificial Neural Network Modelling, 369-376, 2016 | 8 | 2016 |
| Authorship Attribution for Neural Text Generation A Uchendu, T Le, K Shu, D Lee The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 7 | 2020 |
| Knowledge Transfer in the Tourism Industry: Implications of the use of Social Media in Business Analysis M Cooper, LEQ Thai, W Claster, K Vafadari, P Pardo 2015 Global Conference Tourism Intelligence in Action, 2015 | 3 | 2015 |
| 5 Sources of Clickbaits You Should Know! Using Synthetic Clickbaits to Improve Prediction and Distinguish between Bot-Generated and Human-Written Headlines L T., S K., M M.D., L D., S Sundar S., L H. Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 2* | 2019 |
| Implication of Social Media Data in Business Analysis: A Case in Lodging Industry. W Claster, LQ Thai, P Pardo APUGSM 2015 Conference, 0 | 2* | |
| Does Clickbait Actually Attract More Clicks? Three Clickbait studies you must read M Molina, SS Sundar, MMU Rony, N Hassan, T Le, D Lee 2021 ACM Conference on Human Factors in Computing Systems, 2021 | 1 | 2021 |
| TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation A Uchendu, Z Ma, T Le, R Zhang, D Lee The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 | | 2021 |
| Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning T Le, L Tran-Thanh, D Lee arXiv preprint arXiv:2110.10655, 2021 | | 2021 |
| A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks T Le, N Park, D Lee 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021 | | 2021 |
| Large-Scale Data-Driven Airline Market Influence Maximization D Li, J Liu, J Jeon, S Hong, T Le, D Lee, N Park arXiv preprint arXiv:2105.15012, 2021 | | 2021 |
| CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-Teaching T Xie, T Le, L Dongwon The European Conference on Machine Learning and Principles and Practice of …, 2021 | | 2021 |
Dongwon LeeProfessor, The Pennsylvania State UniversityVerified email at psu.edu
