Lei Xu

Affiliations:
  • Amazon AWS, USA
  • Massachusetts Institute of Technology (MIT), Laboratory for Information & Decision Systems (LIDS), Cambridge, MA, USA (PhD 2022)
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (former)


According to our database1, Lei Xu authored at least 20 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Single Word Change Is All You Need: Using LLMs to Create Synthetic Training Examples for Text Classifiers.
Expert Syst. J. Knowl. Eng., 2025

Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers.
CoRR, 2024

Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Towards Deployable Robust Text Classifiers
PhD thesis, 2023

2022
AutoML to Date and Beyond: Challenges and Opportunities.
ACM Comput. Surv., 2022

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

R&R: Metric-guided Adversarial Sentence Generation.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Attacking Text Classifiers via Sentence Rewriting Sampler.
CoRR, 2021

2020
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities.
CoRR, 2020

Topic-sensitive neural headline generation.
Sci. China Inf. Sci., 2020

2019
Robust Invisible Video Watermarking with Attention.
CoRR, 2019

MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data.
CoRR, 2019

SteganoGAN: High Capacity Image Steganography with GANs.
CoRR, 2019

Modeling Tabular data using Conditional GAN.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Synthesizing Tabular Data using Generative Adversarial Networks.
CoRR, 2018

2017
Input Convex Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

2015
Joint Learning of Character and Word Embeddings.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015


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