26 citations · 53 across the 6 of their papers we have counts for
5 papers
Error Compensated Loopless SVRG, Quartz, and SDCA for Distributed Optimization
Xun Qian, Hanze Dong, Peter Richtárik +1
The communication of gradients is a key bottleneck in distributed training of large scale machine learning models. In order to reduce the communication cost, gradient compression (…
Mathematical Models of Overparameterized Neural Networks
Cong Fang, Hanze Dong, Tong Zhang
Deep learning has received considerable empirical successes in recent years. However, while many ad hoc tricks have been discovered by practitioners, until recently, there has been…
Higher-order Weighted Graph Convolutional Networks
Songtao Liu, Lingwei Chen, Hanze Dong +3
Graph Convolution Network (GCN) has been recognized as one of the most effective graph models for semi-supervised learning, but it extracts merely the first-order or few-order neig…
Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations
Cong Fang, Hanze Dong, Tong Zhang
Recently, over-parameterized neural networks have been extensively analyzed in the literature. However, the previous studies cannot satisfactorily explain why fully trained neural…
Vocabulary-informed Extreme Value Learning
Yanwei Fu, HanZe Dong, Yu-feng Ma +2
The novel unseen classes can be formulated as the extreme values of known classes. This inspired the recent works on open-set recognition \cite{Scheirer_2013_TPAMI,Scheirer_2014_TP…