• Google Schoolar

  • R&R: Metric-guided Adversarial Sentence Generation
    • Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Equille, Kalyan Veeramachaneni
    • Findings of AACL, Taipei, 2022
    • [code]
  • Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
    • Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu
    • Findings of NAACL-HLT, Seattle, 2022
    • [pdf] [code] [poster]
  • In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers
    • Lei Xu, Laure Berti-Equille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
    • International Conference on Neural Information Processing (ICONIP), Indore, 2022
    • AdvML Workshop @ KDD, Washington DC, 2022 (best paper)
    • [pdf] [poster]
  • AutoML to Date and Beyond: Challenges and Opportunities
    • Shubhra Kanti Karmaker, Md Mahadi Hassan, Micah J Smith, Lei Xu, Chengxiang Zhai, Kalyan Veeramachaneni
    • ACM Computing Surveys, 2021
    • [pdf]
  • Modeling Tabular Data using Conditional GAN
  • Input Convex Neural Networks
    • Brandon Amos, Lei Xu, J. Zico Kolter
    • Proceedings of ICML, Sydney, 2017
    • [pdf] [code]
  • Topic Sensitive Neural Headline Generation
    • Lei Xu*, Ziyun Wang*, Ayana, Zhiyuan Liu, Maosong Sun
    • ArXiv preprint, 2016
    • [pdf]
  • Joint Learning of Character and Word Embeddings
    • Xinxiong Chen*, Lei Xu*, Zhiyuan Liu, Maosong Sun, Huanbo Luan
    • Proceedings of IJCAI, Buenos Aires, 2015
    • [pdf] [code]