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Lei Xu
Lei Xu
Amazon AWS AI Labs; MIT
Bestätigte E-Mail-Adresse bei mit.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Modeling Tabular Data using Conditional GAN
L Xu, M Skoularidou, A Cuesta-Infante, K Veeramachaneni
Advances in Neural Information Processing Systems, 2019
17892019
Input convex neural networks
B Amos, L Xu, JZ Kolter
International conference on machine learning, 146-155, 2017
8062017
Synthesizing tabular data using generative adversarial networks
L Xu, K Veeramachaneni
arXiv preprint arXiv:1811.11264, 2018
4192018
Joint learning of character and word embeddings
X Chen, L Xu, Z Liu, M Sun, HB Luan
IJCAI, 1236-1242, 2015
4122015
SteganoGAN: High capacity image steganography with GANs
KA Zhang, A Cuesta-Infante, L Xu, K Veeramachaneni
arXiv preprint arXiv:1901.03892, 2019
3022019
Automl to date and beyond: Challenges and opportunities
SK Karmaker, MM Hassan, MJ Smith, L Xu, C Zhai, K Veeramachaneni
Acm computing surveys (csur) 54 (8), 1-36, 2021
2952021
Robust invisible video watermarking with attention
KA Zhang, L Xu, A Cuesta-Infante, K Veeramachaneni
arXiv preprint arXiv:1909.01285, 2019
1122019
Exploring the universal vulnerability of prompt-based learning paradigm
L Xu, Y Chen, G Cui, H Gao, Z Liu
Findings of NAACL, 2022
872022
Synthesizing tabular data using conditional GAN
L Xu
Massachusetts Institute of Technology, 2020
602020
R&R: Metric-guided adversarial sentence generation
L Xu, A Cuesta-Infante, L Berti-Equille, K Veeramachaneni
Findings of AACL-IJCNLP, 2021
22*2021
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
A Elangovan, L Liu, L Xu, S Bodapati, D Roth
Annual Meeting of the Association for Computational Linguistics, 2024
152024
Topic sensitive neural headline generation
L Xu, Z Wang, Z Liu, M Sun
arXiv preprint arXiv:1608.05777, 2016
72016
MLFriend: Interactive prediction task recommendation for event-driven time-series data
L Xu, SKK Santu, K Veeramachaneni
arXiv preprint arXiv:1906.12348, 2019
42019
In situ augmentation for defending against adversarial attacks on text classifiers
L Xu, L Berti-Equille, A Cuesta-Infante, K Veeramachaneni
International Conference on Neural Information Processing, 485-496, 2022
32022
Beyond Correlation: the impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
A Elangovan, L Xu, J Ko, M Elyasi, L Liu, S Bodapati, D Roth
International Conference on Learning Representations (ICLR), 2025
22025
Single word change is all you need: Designing attacks and defenses for text classifiers
L Xu, S Alnegheimish, L Berti-Equille, A Cuesta-Infante, ...
arXiv preprint arXiv:2401.17196, 2024
12024
Guiding transcript generation using detected section types as part of automatic speech recognition
L Xu, A Elangovan, R Paturi, S Srinivasan, SB Bodapati, K Kirchoff, ...
US Patent App. 18/356,117, 2025
2025
Domain entity extraction for performing text analysis tasks
JC Moriarty, S Dingliwal, K Gopalakrishnan, SB Bodapati, K Kirchhoff, ...
US Patent App. 18/344,764, 2025
2025
MEDICAL CONVERSATION SUMMARIZATION STYLE INTELLIGENCE
A Elangovan, L Xu, D Kulshreshtha, SB Bodapati, K Kirchhoff, S Handa
US Patent App. 18/339,749, 2024
2024
Salient information prompting to steer content in prompt-based abstractive summarization
L Xu, MA Karim, S Dingliwal, A Elangovan
arXiv preprint arXiv:2410.02741, 2024
2024
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