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Lei Xu
Lei Xu
Amazon AWS AI Labs; MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Modeling tabular data using conditional gan
L Xu, M Skoularidou, A Cuesta-Infante, K Veeramachaneni
Advances in Neural Information Processing Systems, 2019
14482019
Input convex neural networks
B Amos, L Xu, JZ Kolter
International conference on machine learning, 146-155, 2017
6982017
Joint learning of character and word embeddings
X Chen, L Xu, Z Liu, M Sun, H Luan
Twenty-fourth international joint conference on artificial intelligence, 2015
4132015
Synthesizing tabular data using generative adversarial networks
L Xu, K Veeramachaneni
arXiv preprint arXiv:1811.11264, 2018
3672018
SteganoGAN: High capacity image steganography with GANs
KA Zhang, A Cuesta-Infante, L Xu, K Veeramachaneni
arXiv preprint arXiv:1901.03892, 2019
2692019
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
2322021
Robust invisible video watermarking with attention
KA Zhang, L Xu, A Cuesta-Infante, K Veeramachaneni
arXiv preprint arXiv:1909.01285, 2019
822019
Exploring the universal vulnerability of prompt-based learning paradigm
L Xu, Y Chen, G Cui, H Gao, Z Liu
Findings of NAACL, 2022
702022
Synthesizing tabular data using conditional GAN
L Xu
Massachusetts Institute of Technology, 2020
542020
R&R: Metric-guided adversarial sentence generation
L Xu, A Cuesta-Infante, L Berti-Equille, K Veeramachaneni
Findings of AACL-IJCNLP, 2021
18*2021
Topic sensitive neural headline generation
L Xu, Z Wang, Z Liu, M Sun
arXiv preprint arXiv:1608.05777, 2016
72016
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
52024
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
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
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
A Elangovan, J Ko, L Xu, M Elyasi, L Liu, S Bodapati, D Roth
arXiv preprint arXiv:2410.03775, 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
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
H He, Q Liu, L Xu, C Shivade, Y Zhang, S Srinivasan, K Kirchhoff
arXiv preprint arXiv:2410.02748, 2024
2024
Towards Deployable Robust Text Classifiers
L Xu
Massachusetts Institute of Technology, 2023
2023
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Articles 1–19