研究方向为机器学习,尤其关注大规模机器学习、核方法模型选择、基于图的半监督学习等方向。主要研究内容为针对上述研究点进行泛化分析及为它们设计高效、可伸缩算法。
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 (NIPS 2018).
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) .