1.4k citations · 1.8k across the 8 of their papers we have counts for
8 papers
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
Cuiying Huo, Di Jin, Yawen Li +3
Graph Neural Networks (GNNs) have been a prevailing technique for tackling various analysis tasks on graph data. A key premise for the remarkable performance of GNNs relies on comp…
From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering
Xin-Yi Li, Wei-Jun Lei, Yu-Bin Yang
Multi-hop question answering (QA) is a challenging task requiring QA systems to perform complex reasoning over multiple documents and provide supporting facts together with the exa…
ResT V2: Simpler, Faster and Stronger
Qing-Long Zhang, Yu-Bin Yang
This paper proposes ResTv2, a simpler, faster, and stronger multi-scale vision Transformer for visual recognition. ResTv2 simplifies the EMSA structure in ResTv1 (i.e., eliminating…
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
Qing-Long Zhang Yu-Bin Yang
Attention mechanisms, which enable a neural network to accurately focus on all the relevant elements of the input, have become an essential component to improve the performance of…
Optimisation of Air-Ground Swarm Teaming for Target Search, using Differential Evolution
Jiangjun Tang, George Leu, Yu-Bin Yang
This paper presents a swarm teaming perspective that enhances the scope of classic investigations on survivable networks. A target searching generic context is considered as test-b…
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip Connections
Jianfeng Dong, Xiao-Jiao Mao, Chunhua Shen +1
Unsupervised pre-training was a critical technique for training deep neural networks years ago. With sufficient labeled data and modern training techniques, it is possible to train…
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang
Image restoration, including image denoising, super resolution, inpainting, and so on, is a well-studied problem in computer vision and image processing, as well as a test bed for…
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang
In this paper, we propose a very deep fully convolutional encoding-decoding framework for image restoration such as denoising and super-resolution. The network is composed of multi…