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Thai Le
Thai Le
Assistant Professor, University of Mississippi
Verified email at olemiss.edu - Homepage
Title
Cited by
Cited by
Year
“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
4512019
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
1272020
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
712018
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
622020
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
582020
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
532021
Do Language Models Plagiarize?
J Lee, T Le, J Chen, D Lee
The 2023 ACM Web Conference, 2023
412023
An Innovative Tour Recommendation System For Tourists In Japan
Q Thai LE, D PISHVA
The 17th International Conference on Advanced Communications Technology …, 2015
37*2015
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
28*2021
Machine Learning Based Detection of Clickbait Posts in Social Media
X Cao, T Le
arXiv preprint arXiv:1710.01977, 2017
282017
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
242021
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense
T Le, J Lee, K Yen, Y Hu, D Lee
Annual Meeting of the Association for Computational Linguistics (ACL) (Findings), 2022
232022
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective
A Uchendu, T Le, D Lee
SIGKDD Explorations 25, 2023
212023
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
202019
A Machine Learning Framework For Automating Well Log Depth Matching
L Liang, T Le, T Zimmermann, S Zeroug, D Heliot
SPWLA Annual Logging Symposium, D033S003R009, 2019
192019
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher
T Le, N Park, D Lee
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
182022
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
162016
A Machine-learning Framework For Automating Well-log Depth Matching
T Le, L Liang, T Zimmermann, S Zeroug, D Heliot
Petrophysics 60 (05), 585-595, 2019
15*2019
Reading, Commenting and Sharing of Fake News: How Online Bandwagons and Bots Dictate User Engagement
MD Molina, J Wang, SS Sundar, T Le, C DiRusso
Communication Research, 2022
102022
CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents
J McCalmo, T Le, S Alqahtani, D Lee
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022
92022
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