21 citations · 25 across the 3 of their papers we have counts for
5 papers
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…
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…
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…
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…