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Modeling Without Sharing Privacy: Federated Neural Machine Translation
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Jianzong Wang
,
Zhangcheng Huang
,
Lingwei Kong
,
Denghao Li
,
Jing Xiao
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Springer
Neural Architecture Search as Self-assessor in Semi-supervised Learning
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Zhenhou Hong
,
Jianzong Wang
,
Xiaoyang Qu
,
Chendong Zhao
,
Jie Liu
,
Jing Xiao
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Quantum Convolutional Neural Network on Protein Distance Prediction
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Zhenhou Hong
,
Jianzong Wang
,
Xiaoyang Qu
,
Xinghua Zhu
,
Jie Liu
,
Jing Xiao
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Self-supervised Learning for Semantic Sentence Matching with Dense Transformer Inference Network
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Fengying Yu
,
Jianzong Wang
,
Dewei Tao
,
Ning Cheng
,
Jing Xiao
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Springer
Semantic Embedding Graph Convolutional Networks for Multi-label Video Segment Classification
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Zhitao Li
,
Jianzong Wang
,
Ning Cheng
,
Jing Xiao
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Semantic Extraction for Sentence Representation via Reinforcement Learning
Many modern Natural Language Processing(NLP) systems rely on word embeddings, previously trained in an unsupervised manner on large …
Fengying Yu
,
Dewei Tao
,
Jianzong Wang
,
Yanfei Hui
,
Ning Cheng
,
Jing Xiao
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IEEE
When Hearing the Voice, Who Will Come to Your Mind
Speech is a carrier containing rich biological information, such as speaker identity information including age, gender, race. In this …
Zhenhou Hong
,
Jianzong Wang
,
Wenqi Wei
,
Jie Liu
,
Xiaoyang Qu
,
Bo Chen
,
Zihang Wei
,
Jing Xiao
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IEEE
A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection
In this paper, we propose a real-time robot-based auxiliary system for risk evaluation of COVID-19 infection. It combines real-time …
Wenqi Wei
,
Jianzong Wang
,
Jiteng Ma
,
Ning Cheng
,
Jing Xiao
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ISCA
Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding
End-to-end Spoken Language Understanding (SLU) models are made increasingly large and complex to achieve the state-of-the-art accuracy. …
Xueli Jia
,
Jianzong Wang
,
Zhiyong Zhang
,
Ning Cheng
,
Jing Xiao
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arXiv
ISCA
MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection
Voice activity detection (VAD) makes a distinction between speech and non-speech and its performance is of crucial importance for …
Zhenpeng Zheng
,
Jianzong Wang
,
Ning Cheng
,
Jian Luo
,
Jing Xiao
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arXiv
ISCA
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