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ORCIDThai Le
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Other persons with a similar name
- Thái Hoàng Lê
- Son Thai Le (aka: Son T. Le)
- Thai-Ha Le
- Thai Hoang Le (aka: Le Hoang Thai) — disambiguation page
- Thai Le-Hong
- Ha Le-Thai
- Le Thai Linh
- Thai-Le Luong
- Binh Le Thanh Thai
- Le Vinh Thai
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2020 – today
- 2024
[c39]Xing Yin
, Thai Le:
Benchmarking Machine Learning Techniques for Bankruptcy Prediction under Benign and Adversarial Behaviors. ACM Southeast Regional Conference 2024: 259-265- [c38]Arvinder Kang, Thai Le, Yixin Chen:
Toshakhana: A Multidimensional Panjabi Corpus in Gurmukhi Script. ACM Southeast Regional Conference 2024: 278-283 - [c37]Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee:
ALISON: Fast and Effective Stylometric Authorship Obfuscation. AAAI 2024: 19315-19322 - [c36]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: 6608-6625 - [c35]Tuc Nguyen, Thai Le:
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning. ACL (1) 2024: 12956-12973 - [c34]Cuong Dang, Dung D. Le, Thai Le:
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models. ACL (Findings) 2024: 13475-13491 - [c33]Robert E. Cummings, Thai Le, Sijan Shrestha, Carrie Veronica Smith:
The Unexpected Effects of Google Smart Compose on Open-Ended Writing Tasks. AIED (1) 2024: 468-481 - [c32]Adaku Uchendu, Thai Le, Dongwon Lee:
TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles. ECAI 2024: 1446-1454 - [c31]Tuc Nguyen, Thai Le:
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers. EMNLP 2024: 21183-21203 - [c30]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: 787-799 - [i30]Tuc Nguyen, Thai Le:
Marrying Adapters and Mixup to Efficiently Enhance the Adversarial Robustness of Pre-Trained Language Models for Text Classification. CoRR abs/2401.10111 (2024) - [i29]Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee:
ALISON: Fast and Effective Stylometric Authorship Obfuscation. CoRR abs/2402.00835 (2024) - [i28]Tuc Nguyen, Thai Le:
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning. CoRR abs/2402.10639 (2024) - [i27]Cuong Dang, Dung D. Le, Thai Le:
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models. CoRR abs/2402.11469 (2024) - [i26]Christopher Burger, Charles Walter, Thai Le:
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI. CoRR abs/2406.15839 (2024) - [i25]Christopher Burger, Yifan Hu, Thai Le:
Beyond Individual Facts: Investigating Categorical Knowledge Locality of Taxonomy and Meronomy Concepts in GPT Models. CoRR abs/2406.15940 (2024) - [i24]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 abs/2406.16288 (2024) - [i23]Tuc Nguyen, James Michels, Hua Shen, Thai Le:
NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models. CoRR abs/2408.10528 (2024) - [i22]James Michels, Ramya Bandarupalli, Amin Ahangar Akbari, Thai Le, Hong Xiao, Jing Li, Erik F. Y. Hom:
Natural Language Processing Methods for the Study of Protein-Ligand Interactions. CoRR abs/2409.13057 (2024) - 2023
- [j7]Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra M. Alqahtani:
A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents. Auton. Agents Multi Agent Syst. 37(2): 34 (2023) - [j6]Adaku Uchendu, Thai Le, Dongwon Lee:
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. SIGKDD Explor. 25(1): 1-18 (2023) - [c29]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: 9960-9987 - [c28]Ziyao Wang, Thai Le, Dongwon Lee:
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning. EMNLP (Findings) 2023: 11952-11965 - [c27]Christopher Burger, Lingwei Chen, Thai Le:
"Are Your Explanations Reliable?" Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack. EMNLP 2023: 12831-12844 - [c26]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: 13706-13724 - [c25]Thai Le, Yiran Ye, Yifan Hu, Dongwon Lee:
CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. ICDE 2023: 3639-3642 - [c24]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: 648-658 - [c23]Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee:
Do Language Models Plagiarize? WWW 2023: 3637-3647 - [i21]Thai Le, Ye Yiran, Yifan Hu, Dongwon Lee:
CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild. CoRR abs/2301.06494 (2023) - [i20]Yiran Ye, Thai Le, Dongwon Lee:
NoisyHate: Benchmarking Content Moderation Machine Learning Models with Human-Written Perturbations Online. CoRR abs/2303.10430 (2023) - [i19]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 abs/2304.01002 (2023) - [i18]Christopher Burger, Lingwei Chen, Thai Le:
Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Textual Classification Models via Adversarial Perturbation. CoRR abs/2305.12351 (2023) - [i17]Adaku Uchendu, Thai Le, Dongwon Lee:
TopRoBERTa: Topology-Aware Authorship Attribution of Deepfake Texts. CoRR abs/2309.12934 (2023) - [i16]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 abs/2310.13606 (2023) - [i15]Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee:
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis. CoRR abs/2310.16746 (2023) - [i14]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 abs/2311.08374 (2023) - 2022
- [c22]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: 2953-2965 - [c21]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: 6661-6674 - [c20]Joe McCalmon, Thai Le, Sarra M. Alqahtani, Dongwon Lee:
CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents. AAMAS 2022: 889-897 - [c19]Thai Le, Long Tran-Thanh, Dongwon Lee:
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. WWW 2022: 545-554 - [i13]Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee:
Do Language Models Plagiarize? CoRR abs/2203.07618 (2022) - [i12]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 abs/2203.10346 (2022) - [i11]Adaku Uchendu, Thai Le, Dongwon Lee:
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. CoRR abs/2210.10488 (2022) - [i10]Ziyao Wang, Thai Le, Dongwon Lee:
UPTON: Unattributable Authorship Text via Data Poisoning. CoRR abs/2211.09717 (2022) - 2021
- [c18]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: 3831-3844 - [c17]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: 234:1-234:19 - [c16]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: 2001-2016 - [c15]Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park:
Large-Scale Data-Driven Airline Market Influence Maximization. KDD 2021: 914-924 - [c14]Tianyi Xie, Thai Le, Dongwon Lee:
CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-teaching. ECML/PKDD (5) 2021: 415-430 - [i9]Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park:
Large-Scale Data-Driven Airline Market Influence Maximization. CoRR abs/2105.15012 (2021) - [i8]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 abs/2109.13296 (2021) - [i7]Thai Le, Long Tran-Thanh, Dongwon Lee:
Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. CoRR abs/2110.10655 (2021) - 2020
- [c13]Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee:
Authorship Attribution for Neural Text Generation. EMNLP (1) 2020: 8384-8395 - [c12]Thai Le, Suhang Wang, Dongwon Lee:
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. ICDM 2020: 282-291 - [c11]Thai Le, Suhang Wang, Dongwon Lee:
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. KDD 2020: 238-248 - [i6]Thai Le, Suhang Wang, Dongwon Lee:
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. CoRR abs/2009.01048 (2020) - [i5]Thai Le, Noseong Park, Dongwon Lee:
SIENA: Stochastic Multi-Expert Neural Patcher. CoRR abs/2011.08908 (2020) - [i4]Thai Le, Noseong Park, Dongwon Lee:
Detecting Universal Trigger's Adversarial Attack with Honeypot. CoRR abs/2011.10492 (2020)
2010 – 2019
- 2019
- [c10]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: 33-40 - [c9]Jiasheng Zhang, Thai Le, Yiming Liao, Dongwon Lee:
PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond. ICDM Workshops 2019: 1122-1125 - [c8]Tracy Jia Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee:
How Gullible Are You?: Predicting Susceptibility to Fake News. WebSci 2019: 287-288 - [i3]Thai Le, Suhang Wang, Dongwon Lee:
Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. CoRR abs/1911.02042 (2019) - 2018
- [c7]Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu:
Deep Headline Generation for Clickbait Detection. ICDM 2018: 467-476 - 2017
- [i2]Xinyue Cao, Thai Le, Jason Zhang:
Machine Learning Based Detection of Clickbait Posts in Social Media. CoRR abs/1710.01977 (2017) - 2016
- [j5]Thai Le, Hilaire J. Thompson, George Demiris:
A Comparison of Health Visualization Evaluation Techniques with Older Adults. IEEE Computer Graphics and Applications 36(4): 67-77 (2016) - 2015
- [j4]Jonathan Joe, Shomir Chaudhuri, Thai Le, Hilaire Thompson, George Demiris:
The use of think-aloud and instant data analysis in evaluation research: Exemplar and lessons learned. J. Biomed. Informatics 56: 284-291 (2015) - [c6]Bastien Rance, Thai Le, Olivier Bodenreider:
Fingerprinting Biomedical Terminologies - Automatic Classification and Visualization of Biomedical Vocabularies through UMLS Semantic Group Profiles. MedInfo 2015: 771-775 - [c5]Christian Bock, Thai Le, Arjmand Samuel, Danny Huang, Hilaire J. Thompson, George Demiris:
Visualizing Sensor Data through an Open Platform for Connected Devices. MedInfo 2015: 964 - 2014
- [j3]Thai Le, Shomir Chaudhuri, Jane Chung, Hilaire Thompson, George Demiris:
Tree testing of hierarchical menu structures for health applications. J. Biomed. Informatics 49: 198-205 (2014) - 2013
- [j2]Jina Huh, Thai Le, Blaine Reeder, Hilaire Thompson, George Demiris:
Perspectives on wellness self-monitoring tools for older adults. Int. J. Medical Informatics 82(11): 1092-1103 (2013) - [c4]Thai Le, Bastien Rance, Olivier Bodenreider:
Network Visualization of UMLS Source Vocabularies using Semantic Groups. AMIA 2013 - [c3]Blaine Reeder, Thai Le, Hilaire Thompson, George Demiris:
Comparing Information Needs of Health Care Providers and Older Adults: Findings from a Wellness Study. MedInfo 2013: 18-22 - [c2]Thai Le, Hilaire Thompson, George Demiris:
An Examination of Electronic Health Information Privacy in Older Adults. MedInfo 2013: 709-713 - 2012
- [j1]Thai Le, Katarzyna Wilamowska, George Demiris, Hilaire Thompson:
Integrated data visualisation: an approach to capture older adults' wellness. Int. J. Electron. Heal. 7(2): 89-104 (2012) - [c1]Shomir Chaudhuri, Thai Le, Catherine White, Jane Chung, George Demiris, Hilaire Thompson:
Administering a Wide-Scale Survey to Community Dwelling Older Adults: Implications and Lessons Learned. AMIA 2012 - 2011
- [i1]Thai Le, Phat Tat, Hai Tran:
Facial Expression Classification Based on Multi Artificial Neural Network and Two Dimensional Principal Component Analysis. CoRR abs/1107.3195 (2011)
Coauthor Index
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