2 citations · 5 across the 6 of their papers we have counts for
6 papers
Spectral shadows of a single GaAs quantum dot
Kai Hühn, Lena Klar, Fei Ding +4
Semiconductor quantum dots are a promising platform for generating single and entangled photons.Still, their use is limited even in the most advanced structures by changes in the c…
Contrastive Representation Disentanglement for Clustering
Fei Ding, Dan Zhang, Yin Yang +2
Clustering continues to be a significant and challenging task. Recent studies have demonstrated impressive results by applying clustering to feature representations acquired throug…
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
Mingqi Li, Fei Ding, Dan Zhang +3
Pre-trained multilingual language models play an important role in cross-lingual natural language understanding tasks. However, existing methods did not focus on learning the seman…
Multi-level Knowledge Distillation via Knowledge Alignment and Correlation
Fei Ding, Yin Yang, Hongxin Hu +2
Knowledge distillation (KD) has become an important technique for model compression and knowledge transfer. In this work, we first perform a comprehensive analysis of the knowledge…
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
Fei Ding, Xiaohong Zhang, Justin Sybrandt +1
Graph representation learning based on graph neural networks (GNNs) can greatly improve the performance of downstream tasks, such as node and graph classification. However, the gen…
Double cycle-consistent generative adversarial network for unsupervised conditional generation
Fei Ding, Feng Luo, Yin Yang
Conditional generative models have achieved considerable success in the past few years, but usually require a lot of labeled data. Recently, ClusterGAN combines GAN with an encoder…