236 citations · 410 across the 10 of their papers we have counts for
17 papers
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Cheng Yang, Jiawei Liu, Chuan Shi
Semi-supervised learning on graphs is an important problem in the machine learning area. In recent years, state-of-the-art classification methods based on graph neural networks (GN…
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition
Shaokang Yang, Shuai Liu, Cheng Yang +1
Fine-grained image recognition is very challenging due to the difficulty of capturing both semantic global features and discriminative local features. Meanwhile, these two features…
Two-dimensional Cold Electron Transport for Steep-slope Transistors
Maomao Liu, Hemendra Nath Jaiswal, Simran Shahi +10
Room-temperature Fermi-Dirac electron thermal excitation in conventional three-dimensional (3D) or two-dimensional (2D) semiconductors generates hot electrons with a relatively lon…
Information Diffusion Prediction with Latent Factor Disentanglement
Haoran Wang, Cheng Yang
Information diffusion prediction is a fundamental task which forecasts how an information item will spread among users. In recent years, deep learning based methods, especially tho…
Phonon heat transport in cavity-mediated optomechanical nanoresonators
Cheng Yang, Xinrui Wei, Jiteng Sheng +1
The understanding of heat transport in nonequilibrium thermodynamics is an important research frontier, which is crucial for implementing novel thermodynamic devices, such as heat…
Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
Nan Zhuang, Cheng Yang
In this paper, we are interested in generating fine-grained cartoon faces for various groups. We assume that one of these groups consists of sufficient training data while the othe…