Check out my Google Scholar page here.

Conference Papers

  1. Yuzhe Ma, Xuezhou Zhang, Wen Sun, and Xiaojin Zhu. Policy poisoning in batch reinforcement learning and control. In Advances in Neural Information Processing Systems (NeurIPS), 2019.

  2. Xuezhou Zhang, Xiaojin Zhu, Laurent Lessard. Online Data Poisoning Attack. arXiv Pre-print, 2019.
    [paper | poster]

  3. Xuezhou Zhang, Sarah Tan, Paul Koch, Urszula Chajewska, and Rich Caruana. Axiomatic Interpretability for Multiclass Additive Models. In the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track, 2019. Oral Presentation.

  4. Laurent Lessard, Xuezhou Zhang, and Xiaojin Zhu. An Optimal Control Approach to Sequential Machine Teaching. In The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.

  5. Xuezhou Zhang, Xiaojin Zhu and Stephen Wright. Training Set Debugging using Trusted Items. In The 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018. Oral Presentation.
    [paper | slides | code]

  6. Yuzhe Ma, Robert D Nowak, Philippe Rigollet, Xuezhou Zhang and Xiaojin Zhu. Teacher Improves Learning by Selecting a Training Subset. In The 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.
    [paper | code]

  7. Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma and Xiaojin Zhu. Training set camouflage. In Conference on Decision and Game Theory for Security (GameSec), 2018. Oral Presentation.

  8. Xuezhou Zhang, Hrag Gorune Ohannessian, Ayon Sen, Scott Alfeld and Xiaojin Zhu. Optimal Teaching for Online Perceptrons. In NIPS 2016 workshop on Constructive Machine Learning (CML), 2016.
    [paper | poster | slides]