38 citations · 73 across the 12 of their papers we have counts for
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cs.LG2022★ 7 cited
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Zhun Deng, Jiayao Zhang, Linjun Zhang +4
Algorithmic fairness plays an important role in machine learning and imposing fairness constraints during learning is a common approach. However, many datasets are imbalanced in ce…
cs.LG2021★ 1 cited
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang, Hua Wang, Weijie J. Su
Understanding the training dynamics of deep learning models is perhaps a necessary step toward demystifying the effectiveness of these models. In particular, how do data from diffe…
cs.LG2018★ 38 cited
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning
Jiayao Zhang, Guangxu Zhu, Robert W. Heath +1
Modern machine learning algorithms have been adopted in a range of signal-processing applications spanning computer vision, natural language processing, and artificial intelligence…