Joint Learning of Character and Word Embeddings. - Xinxiong Chen; Lei Xu 040; Zhiyuan Liu 001; Maosong Sun 001; Huan-Bo Luan (IJCAI, 2015)

Input Convex Neural Networks. - Brandon Amos; Lei Xu 040; J. Zico Kolter (ICML, 2017)

Synthesizing Tabular Data using Generative Adversarial Networks. - Lei Xu 040; Kalyan Veeramachaneni (CoRR, 2018)

Modeling Tabular data using Conditional GAN. - Lei Xu 040; Maria Skoularidou; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (NeurIPS, 2019)

SteganoGAN: High Capacity Image Steganography with GANs. - Kevin Alex Zhang; Alfredo Cuesta-Infante; Lei Xu 040; Kalyan Veeramachaneni (CoRR, 2019)

MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data. - Lei Xu 040; Shubhra Kanti Karmaker Santu; Kalyan Veeramachaneni (CoRR, 2019)

Robust Invisible Video Watermarking with Attention. - Kevin Alex Zhang; Lei Xu 040; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (CoRR, 2019)

Topic-sensitive neural headline generation. - Ayana; Ziyun Wang; Lei Xu 040; Zhiyuan Liu 001; Maosong Sun 001 (Sci. China Inf. Sci., 2020)

A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities. - Shubhra Kanti Karmaker Santu; Md. Mahadi Hassan; Micah J. Smith; Lei Xu 040; ChengXiang Zhai; Kalyan Veeramachaneni (CoRR, 2020)

Attacking Text Classifiers via Sentence Rewriting Sampler. - Lei Xu 040; Kalyan Veeramachaneni (CoRR, 2021)

In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. - Lei Xu 040; Laure Berti-Équille; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (ICONIP (3), 2022)

R&R: Metric-guided Adversarial Sentence Generation. - Lei Xu 040; Alfredo Cuesta-Infante; Laure Berti-Équille; Kalyan Veeramachaneni (AACL/IJCNLP (Findings), 2022)

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. - Lei Xu 040; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Zhiyuan Liu 001 (NAACL-HLT (Findings), 2022)

AutoML to Date and Beyond: Challenges and Opportunities. - Shubhra Kanti Karmaker Santu; Md. Mahadi Hassan; Micah J. Smith; Lei Xu 040; Chengxiang Zhai; Kalyan Veeramachaneni (ACM Comput. Surv., 2022)

Towards Deployable Robust Text Classifiers - Lei Xu 040 (2023)

ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models. - Aparna Elangovan; Ling Liu; Lei Xu 040; Sravan Babu Bodapati; Dan Roth 001 (ACL (1), 2024)

Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization. - Lei Xu 040; Mohammed Asad Karim; Saket Dingliwal; Aparna Elangovan (EMNLP (Industry Track), 2024)

Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers. - Lei Xu 040; Sarah Alnegheimish; Laure Berti-Équille; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (CoRR, 2024)

Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge. - Aparna Elangovan; Lei Xu 040; Jongwoo Ko; Mahsa Elyasi; Ling Liu; Sravan Babu Bodapati; Dan Roth 001 (ICLR, 2025)

Single Word Change Is All You Need: Using LLMs to Create Synthetic Training Examples for Text Classifiers. - Lei Xu 040; Sarah Alnegheimish; Laure Berti-Équille; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (Expert Syst. J. Knowl. Eng., 2025)