Publications (Google Scholar Profile)

2019

  • Multi-Class Learning using Unlabeled Samples: Theory and Algorithm.
    Jian Li, Yong Liu, Rong Yin, Weiping Wang. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). To appear.
    [PDF] [Code]

  • Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis.
    Jian Li, Yong Liu, Rong Yin, Weiping Wang. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). To appear.
    [PDF] [Code]

  • Distributed Learning with Random Features. Preprint (Submitted to NeurIPS 2019).
    Jian Li, Yong Liu, Weiping Wang. arXiv preprint arXiv:1906.03155, 2019.
    [PDF] [Code]

  • Efficient Cross-Validation for Semi-Supervised Learning. Preprint.
    Yong Liu, Jian Li, Guangjun Wu, Lizhong Ding, Weiping Wang. arXiv preprint arXiv:1902.04768, 2019.
    [PDF]

2018

  • Multi-Class Learning: From Theory to Algorithm. Published.
    Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang. Advances in Neural Information Processing Systems 31 (NeurIPS 2018).
    [PDF] [Code] [Poster] [Sildes] [3-minute video]
  • Max-Diversity Distributed Learning: Theory and Algorithms. Preprint.
    Yong Liu, Jian Li, Weiping Wang. arXiv preprint arXiv:1812.07738, 2018.
    [PDF] [Code]

2017

  • Efficient kernel selection via spectral analysis. Published.
    Jian Li, Yong Liu, Hailun Lin, Yinliang Yue, Weiping Wang. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) .
    [PDF] [Poster] [Sildes]