Facial Expression Classification Based on Multi Artificial Neural Network and Two Dimensional Principal Component Analysis - Thai Le; Phat Tat; Hai Tran (CoRR, 2011)

Administering a Wide-Scale Survey to Community Dwelling Older Adults: Implications and Lessons Learned. - Shomir Chaudhuri; Thai Le; Catherine White; Jane Chung; George Demiris; Hilaire Thompson (AMIA, 2012)

Integrated data visualisation: an approach to capture older adults' wellness. - Thai Le; Katarzyna Wilamowska; George Demiris; Hilaire Thompson (Int. J. Electron. Heal., 2012)

Network Visualization of UMLS Source Vocabularies using Semantic Groups. - Thai Le; Bastien Rance; Olivier Bodenreider (AMIA, 2013)

An Examination of Electronic Health Information Privacy in Older Adults. - Thai Le; Hilaire Thompson; George Demiris (MedInfo, 2013)

Comparing Information Needs of Health Care Providers and Older Adults: Findings from a Wellness Study. - Blaine Reeder; Thai Le; Hilaire Thompson; George Demiris (MedInfo, 2013)

Perspectives on wellness self-monitoring tools for older adults. - Jina Huh; Thai Le; Blaine Reeder; Hilaire Thompson; George Demiris (Int. J. Medical Informatics, 2013)

Tree testing of hierarchical menu structures for health applications. - Thai Le; Shomir Chaudhuri; Jane Chung; Hilaire Thompson; George Demiris (J. Biomed. Informatics, 2014)

Visualizing Sensor Data through an Open Platform for Connected Devices. - Christian Bock; Thai Le; Arjmand Samuel; Danny Huang; Hilaire J. Thompson; George Demiris (MedInfo, 2015)

Fingerprinting Biomedical Terminologies - Automatic Classification and Visualization of Biomedical Vocabularies through UMLS Semantic Group Profiles. - Bastien Rance; Thai Le; Olivier Bodenreider (MedInfo, 2015)

The use of think-aloud and instant data analysis in evaluation research: Exemplar and lessons learned. - Jonathan Joe; Shomir Chaudhuri; Thai Le; Hilaire Thompson; George Demiris (J. Biomed. Informatics, 2015)

A Comparison of Health Visualization Evaluation Techniques with Older Adults. - Thai Le; Hilaire J. Thompson; George Demiris (IEEE Computer Graphics and Applications, 2016)

Machine Learning Based Detection of Clickbait Posts in Social Media. - Xinyue Cao; Thai Le; Jason Zhang (CoRR, 2017)

Deep Headline Generation for Clickbait Detection. - Kai Shu; Suhang Wang; Thai Le; Dongwon Lee 001; Huan Liu 001 (ICDM, 2018)

5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines. - Thai Le; Kai Shu; Maria D. Molina; Dongwon Lee 001; S. Shyam Sundar; Huan Liu 001 (ASONAM, 2019)

PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond. - Jiasheng Zhang; Thai Le; Yiming Liao; Dongwon Lee 001 (ICDM Workshops, 2019)

How Gullible Are You?: Predicting Susceptibility to Fake News. - Tracy Jia Shen; Robert Cowell; Aditi Gupta; Thai Le; Amulya Yadav; Dongwon Lee 001 (WebSci, 2019)

Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. - Thai Le; Suhang Wang; Dongwon Lee 001 (CoRR, 2019)

Authorship Attribution for Neural Text Generation. - Adaku Uchendu; Thai Le; Kai Shu; Dongwon Lee 001 (EMNLP (1), 2020)

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. - Thai Le; Suhang Wang; Dongwon Lee 001 (ICDM, 2020)

GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. - Thai Le; Suhang Wang; Dongwon Lee 001 (KDD, 2020)

SIENA: Stochastic Multi-Expert Neural Patcher. - Thai Le; Noseong Park; Dongwon Lee 001 (CoRR, 2020)

Detecting Universal Trigger's Adversarial Attack with Honeypot. - Thai Le; Noseong Park; Dongwon Lee 001 (CoRR, 2020)

A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks. - Thai Le; Noseong Park; Dongwon Lee 001 (ACL/IJCNLP (1), 2021)

Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read. - Maria D. Molina; S. Shyam Sundar; Md Main Uddin Rony; Naeemul Hassan; Thai Le; Dongwon Lee 001 (CHI, 2021)

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation. - Adaku Uchendu; Zeyu Ma; Thai Le; Rui Zhang 037; Dongwon Lee 001 (EMNLP (Findings), 2021)

Large-Scale Data-Driven Airline Market Influence Maximization. - Duanshun Li; Jing Liu 024; Jinsung Jeon; Seoyoung Hong 001; Thai Le; Dongwon Lee 001; Noseong Park (KDD, 2021)

CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-teaching. - Tianyi Xie; Thai Le; Dongwon Lee 001 (ECML/PKDD (5), 2021)

Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. - Thai Le; Long Tran-Thanh; Dongwon Lee 001 (CoRR, 2021)

Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense. - Thai Le; Jooyoung Lee; Kevin Yen; Yifan Hu 001; Dongwon Lee 001 (ACL (Findings), 2022)

SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher. - Thai Le; Noseong Park; Dongwon Lee 001 (ACL (1), 2022)

CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents. - Joe McCalmon; Thai Le; Sarra M. Alqahtani; Dongwon Lee 001 (AAMAS, 2022)

Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. - Thai Le; Long Tran-Thanh; Dongwon Lee 001 (WWW, 2022)

UPTON: Unattributable Authorship Text via Data Poisoning. - Ziyao Wang; Thai Le; Dongwon Lee 001 (CoRR, 2022)

"Are Your Explanations Reliable?" Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack. - Christopher Burger; Lingwei Chen; Thai Le (EMNLP, 2023)

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. - Dominik Macko; Róbert Móro; Adaku Uchendu; Jason Samuel Lucas; Michiharu Yamashita; Matús Pikuliak; Ivan Srba; Thai Le; Dongwon Lee 001; Jakub Simko; Mária Bieliková (EMNLP, 2023)

HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis. - Nafis Irtiza Tripto; Adaku Uchendu; Thai Le; Mattia Setzu; Fosca Giannotti; Dongwon Lee 001 (EMNLP (Findings), 2023)

UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning. - Ziyao Wang; Thai Le; Dongwon Lee 001 (EMNLP (Findings), 2023)

CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. - Thai Le; Yiran Ye; Yifan Hu 001; Dongwon Lee 001 (ICDE, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Do Language Models Plagiarize? - Jooyoung Lee; Thai Le; Jinghui Chen; Dongwon Lee 001 (WWW, 2023)

NoisyHate: Benchmarking Content Moderation Machine Learning Models with Human-Written Perturbations Online. - Yiran Ye; Thai Le; Dongwon Lee 001 (CoRR, 2023)

Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts. - Adaku Uchendu; Jooyoung Lee; Hua Shen 005; Thai Le; Ting-Hao Kenneth Huang; Dongwon Lee 001 (CoRR, 2023)

Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation. - Christopher Burger; Lingwei Chen; Thai Le (CoRR, 2023)

TopRoBERTa: Topology-Aware Authorship Attribution of Deepfake Texts. - Adaku Uchendu; Thai Le; Dongwon Lee 001 (CoRR, 2023)

Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. - Adaku Uchendu; Thai Le; Dongwon Lee 001 (SIGKDD Explor., 2023)

MULTITuDE. - Dominik Macko; Róbert Móro; Adaku Uchendu; Jason Samuel Lucas; Michiharu Yamashita; Matús Pikuliak; Ivan Srba; Thai Le; Dongwon Lee 001; Jakub Simko; Mária Bieliková (Zenodo, 2023)

A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents. - Tongtong Liu 001; Joe McCalmon; Thai Le; Md Asifur Rahman; Dongwon Lee 001; Sarra M. Alqahtani (Auton. Agents Multi Agent Syst., 2023)

Toshakhana: A Multidimensional Panjabi Corpus in Gurmukhi Script. - Arvinder Kang; Thai Le; Yixin Chen 002 (ACM Southeast Regional Conference, 2024)

Benchmarking Machine Learning Techniques for Bankruptcy Prediction under Benign and Adversarial Behaviors. - Xing Yin; Thai Le (ACM Southeast Regional Conference, 2024)

ALISON: Fast and Effective Stylometric Authorship Obfuscation. - Eric Xing; Saranya Venkatraman; Thai Le; Dongwon Lee 001 (AAAI, 2024)

A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models. - Cuong Dang; Dung D. Le; Thai Le (ACL (Findings), 2024)

Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning. - Tuc Nguyen; Thai Le (ACL (1), 2024)

A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. - Nafis Irtiza Tripto; Saranya Venkatraman; Dominik Macko; Róbert Móro; Ivan Srba; Adaku Uchendu; Thai Le; Dongwon Lee 001 (ACL (1), 2024)

The Unexpected Effects of Google Smart Compose on Open-Ended Writing Tasks. - Robert E. Cummings; Thai Le; Sijan Shrestha; Carrie Veronica Smith (AIED (1), 2024)

TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles. - Adaku Uchendu; Thai Le; Dongwon Lee 001 (ECAI, 2024)

Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers. - Tuc Nguyen; Thai Le (EMNLP, 2024)

The Art of Deepfake Text Obfuscation: Lessons Learned From a Manual, First-Person Perspective. - Jun Jang; Thai Le (ICECET, 2024)

The Strange Case of Jekyll and Hyde: Analysis of R/ToastMe and R/RoastMe Users on Reddit. - Wooyong Jung; Nishant Asati; Phuong (Lucy) Doan; Thai Le; Aiping Xiong; Dongwon Lee 001 (ICWSM, 2024)

Marrying Adapters and Mixup to Efficiently Enhance the Adversarial Robustness of Pre-Trained Language Models for Text Classification. - Tuc Nguyen; Thai Le (CoRR, 2024)

The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI. - Christopher Burger; Charles Walter; Thai Le (CoRR, 2024)

Beyond Individual Facts: Investigating Categorical Knowledge Locality of Taxonomy and Meronomy Concepts in GPT Models. - Christopher Burger; Yifan Hu 001; Thai Le (CoRR, 2024)

Unveiling Topological Structures in Text: A Comprehensive Survey of Topological Data Analysis Applications in NLP. - Adaku Uchendu; Thai Le (CoRR, 2024)

NOMATTERXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models. - Tuc Van Nguyen; James Michels; Hua Shen; Thai Le (AAAI, 2025)

NoisyHate: Mining Online Human-Written Perturbations for Realistic Robustness Benchmarking of Content Moderation Models. - Yiran Ye; Thai Le; Dongwon Lee 001 (ICWSM, 2025)

xSRL: Safety-Aware Explainable Reinforcement Learning - Safety as a Product of Explainability. - Risal Shahriar Shefin; Md Asifur Rahman; Thai Le; Sarra Alqahtani (AAMAS, 2025)

PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection. - Jooyoung Lee; Toshini Agrawal; Adaku Uchendu; Thai Le; Jinghui Chen; Dongwon Lee 001 (NAACL (Long Papers), 2025)

Natural Language Processing Methods for the Study of Protein-Ligand Interactions. - James Michels; Ramya Bandarupalli; Amin Ahangar Akbari; Thai Le; Hong Xiao; Jing Li; Erik F. Y. Hom (J. Chem. Inf. Model., 2025)

NoisyHate. - Yiran Ye; Thai Le; Dongwon Lee 001 (Zenodo, 2025)

Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI. - Christopher Burger; Charles Walter; Thai Le; Lingwei Chen (CoRR, 2025)

Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification. - Tuc Nguyen; Yifan Hu; Thai Le (CoRR, 2025)

CAIN: Hijacking LLM-Humans Conversations via a Two-Stage Malicious System Prompt Generation and Refining Framework. - Viet Pham; Thai Le (CoRR, 2025)

Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial Prompting. - Bang Trinh Tran To; Thai Le (CoRR, 2025)

What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection. - Binh Nguyen; Shuji Shi; Ryan Ofman; Thai Le (CoRR, 2025)

Verification-Guided Falsification for Safe RL via Explainable Abstraction and Risk-Aware Exploration. - Tuan Le; Risal Shahriar Shefin; Debashis Gupta; Thai Le; Sarra Alqahtani (CoRR, 2025)

Manipulating LLM Web Agents with Indirect Prompt Injection Attack via HTML Accessibility Tree. - Sam Johnson; Viet Pham; Thai Le (CoRR, 2025)