Publications

(* Equal contribution)

2022

  1. With False Friends Like These, Who Can Notice Mistakes?
    Lue Tao, Lei Feng, Jinfeng Yi, and Songcan Chen
    In: AAAI Conference on Artificial Intelligence (AAAI), 2022

2021

  1. Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
    Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, and Songcan Chen
    In: Advances in Neural Information Processing Systems (NeurIPS), 2021
  2. Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
    Hongxin Wei, Lue Tao, Renchunzi Xie, and Bo An
    In: Advances in Neural Information Processing Systems (NeurIPS), 2021
  3. Multiple-Instance Learning from Similar and Dissimilar Bags
    Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, and Gang Niu
    In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021
  4. Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
    Kun-Peng Ning*, Lue Tao*, Songcan Chen, and Sheng-Jun Huang
    In: AAAI Conference on Artificial Intelligence (AAAI), 2021

2020

  1. Accelerated Stochastic Gradient-free and Projection-free Methods
    Feihu Huang, Lue Tao, and Songcan Chen
    In: International Conference on Machine Learning (ICML), 2020
  2. Guided CNN for Generalized Zero-shot and Open-set Recognition Using Visual and Semantic Prototypes
    Chuanxing Geng, Lue Tao, and Songcan Chen
    In: Pattern Recognition (PR), 2020
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