63 citations · 153 across the 10 of their papers we have counts for
10 papers
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Ruijie Yao, Sheng Jin, Lumin Xu +5
Multi-Label Image Recognition (MLIR) is a challenging task that aims to predict multiple object labels in a single image while modeling the complex relationships between labels and…
Understanding the Failure of Batch Normalization for Transformers in NLP
Jiaxi Wang, Ji Wu, Lei Huang
Batch Normalization (BN) is a core and prevalent technique in accelerating the training of deep neural networks and improving the generalization on Computer Vision (CV) tasks. Howe…
From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep Learning
Yaosen Min, Ye Wei, Peizhuo Wang +10
Accurate prediction of protein-ligand binding affinities is an essential challenge in structure-based drug design. Despite recent advances in data-driven methods for affinity predi…
Exploiting Sentence Embedding for Medical Question Answering
Yu Hao, Xien Liu, Ji Wu +1
Despite the great success of word embedding, sentence embedding remains a not-well-solved problem. In this paper, we present a supervised learning framework to exploit sentence emb…
Medical Exam Question Answering with Large-scale Reading Comprehension
Xiao Zhang, Ji Wu, Zhiyang He +2
Reading and understanding text is one important component in computer aided diagnosis in clinical medicine, also being a major research problem in the field of NLP. In this work, w…
Study on a Poisson's Equation Solver Based On Deep Learning Technique
Tao Shan, Wei Tang, Xunwang Dang +4
In this work, we investigated the feasibility of applying deep learning techniques to solve Poisson's equation. A deep convolutional neural network is set up to predict the distrib…
The Monkeytyping Solution to the YouTube-8M Video Understanding Challenge
He-Da Wang, Teng Zhang, Ji Wu
This article describes the final solution of team monkeytyping, who finished in second place in the YouTube-8M video understanding challenge. The dataset used in this challenge is…
Simple Deep Random Model Ensemble
Xiao-Lei Zhang, Ji Wu
Representation learning and unsupervised learning are two central topics of machine learning and signal processing. Deep learning is one of the most effective unsupervised represen…
Transfer Learning for Voice Activity Detection: A Denoising Deep Neural Network Perspective
Xiao-Lei Zhang, Ji Wu
Mismatching problem between the source and target noisy corpora severely hinder the practical use of the machine-learning-based voice activity detection (VAD). In this paper, we tr…
Denoising Deep Neural Networks Based Voice Activity Detection
Xiao-Lei Zhang, Ji Wu
Recently, the deep-belief-networks (DBN) based voice activity detection (VAD) has been proposed. It is powerful in fusing the advantages of multiple features, and achieves the stat…