2020
- Automated Spectral Kernel Learning.
Jian Li, Yong Liu, Weiping Wang. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020).
[PDF] [Poster] [Code] - Convolutional Spectral Kernel Learning. Preprint.
Jian Li, Yong Liu, Weiping Wang. arXiv preprint arXiv:2002.12744 , 2020.
[PDF]
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).
[PDF] [Poster] [Slides] [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).
[PDF] [Poster] [Slides] [Code] - Learning Vector-valued Functions with Local Rademacher Complexity. Preprint.
Jian Li, Yong Liu, Weiping Wang. arXiv preprint arXiv:1909.04883, 2019.
[PDF] [Code] - Distributed Learning with Random Features. Preprint.
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.
Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang. Advances in Neural Information Processing Systems 31 (NeurIPS 2018).
[PDF] [Poster] [Sildes] [3-minute video] [Code] - 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.
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]
