EEML: Ensemble Embedded Meta-learning

no code implementations • 18 Jun 2022 • Geng Li, Boyuan Ren, Hongzhi Wang

To accelerate learning process with few samples, meta-learning resorts to prior knowledge from previous tasks.

Few-Shot Learning

FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search

no code implementations • 9 Apr 2021 • Chunnan Wang, Bozhou Chen, Geng Li, Hongzhi Wang

Recently, some Neural Architecture Search (NAS) techniques are proposed for the automatic design of Graph Convolutional Network (GCN) architectures.

Federated Learning Neural Architecture Search

A new Majorana platform in an Fe-As bilayer superconductor

no code implementations • 1 Jul 2019 • Wenyao Liu, Lu Cao, Shiyu Zhu, Lingyuan Kong, Guangwei Wang, Michal Papaj, Peng Zhang, Yabin Liu, Hui Chen, Geng Li, Fazhi Yang, Takeshi Kondo, Shixuan Du, Guanghan Cao, Shik Shin, Liang Fu, Zhiping Yin, Hong-Jun Gao, Hong Ding

On the other hand, some iron-pnictide (Fe-As) superconductors, such as LiFeAs, have been demonstrated to have a similar topological band structure, yet no MZM has been observed in its vortex cores, raising a question of universality of MZM presence in iron-based superconductors.

Superconductivity Strongly Correlated Electrons