3 papers
cs.CL2020
Cascaded Semantic and Positional Self-Attention Network for Document Classification
Juyong Jiang, Jie Zhang, Kai Zhang
Transformers have shown great success in learning representations for language modelling. However, an open challenge still remains on how to systematically aggregate semantic infor…
cs.LG2020
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification
Kai Zhang, Yaokang Zhu, Jun Wang +2
Graph neural networks are promising architecture for learning and inference with graph-structured data. Yet difficulties in modelling the ``parts'' and their ``interactions'' still…
cs.LG2016
Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling
Kai Zhang, Chuanren Liu, Jie Zhang +3
Matrix sketching is aimed at finding close approximations of a matrix by factors of much smaller dimensions, which has important applications in optimization and machine learning.…