b'Yong Zhao'

research

∙ 11/25/2022

Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild

Recent research showed that the dual-pixel sensor has made great progres...

Jucai Zhai, et al. ∙

research

∙ 09/22/2022

The Microsoft System for VoxCeleb Speaker Recognition Challenge 2022

In this report, we describe our submitted system for track 2 of the VoxC...

Gang Liu, et al. ∙

research

∙ 01/19/2022

FRA-LSTM: A Vessel Trajectory Prediction Method Based on Fusion of the Forward and Reverse Sub-Network

In order to improve the vessel's capacity and ensure maritime traffic sa...

Jin Chen, et al. ∙

research

∙ 08/19/2021

Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages

There are numerous types of programming languages developed in the last ...

Yong Zhao, et al. ∙

research

∙ 07/07/2021

Distributed adaptive algorithm based on the asymmetric cost of error functions

In this paper, a family of novel diffusion adaptive estimation algorithm...

Sihai Guan, et al. ∙

research

∙ 10/22/2020

Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020

This paper describes the Microsoft speaker diarization system for monaur...

Xiong Xiao, et al. ∙

research

∙ 09/05/2020

Reverse-engineering Bar Charts Using Neural Networks

Reverse-engineering bar charts extracts textual and numeric information ...

Fangfang Zhou, et al. ∙

research

∙ 07/06/2020

ResNeXt and Res2Net Structure for Speaker Verification

ResNet-based architecture has been widely adopted as the speaker embeddi...

Tianyan Zhou, et al. ∙

research

∙ 03/17/2020

Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks

Materials representation plays a key role in machine learning based pred...

Yong Zhao, et al. ∙

research

∙ 03/11/2020

Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction

Machine learning (ML) methods have gained increasing popularity in explo...

Steph-Yves Louis, et al. ∙

research

∙ 03/03/2020

Impact of JD Bernal Thoughts in the Science of Science upon China: Implications for Quantitative Studies of Science Today

John Desmond Bernal (1901-1970) was one of the most eminent scientists i...

Yong Zhao, et al. ∙

research

∙ 02/26/2020

Machine Learning based prediction of noncentrosymmetric crystal materials

Noncentrosymmetric materials play a critical role in many important appl...

Yuqi Song, et al. ∙

research

∙ 12/10/2019

Advances in Online Audio-Visual Meeting Transcription

This paper describes a system that generates speaker-annotated transcrip...

Takuya Yoshioka, et al. ∙

research

∙ 11/12/2019

Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

A major challenge in materials design is how to efficiently search the v...

Yabo Dan, et al. ∙

research

∙ 10/26/2019

Cross-Channel Intragroup Sparsity Neural Network

Modern deep neural network models generally build upon heavy over-parame...

Zhilin Yu, et al. ∙

research

∙ 08/26/2019

Non-local Recurrent Neural Memory for Supervised Sequence Modeling

Typical methods for supervised sequence modeling are built upon the recu...

Canmiao Fu, et al. ∙

research

∙ 06/25/2019

End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching

Deep neural networks have shown excellent performance in stereo matching...

Li Zhang, et al. ∙

research

∙ 04/29/2019

Adversarial Speaker Verification

The use of deep networks to extract embeddings for speaker recognition h...

Zhong Meng, et al. ∙

research

∙ 04/28/2019

Conditional Teacher-Student Learning

The teacher-student (T/S) learning has been shown to be effective for a ...

Zhong Meng, et al. ∙

research

∙ 02/21/2019

GSLAM: A General SLAM Framework and Benchmark

SLAM technology has recently seen many successes and attracted the atten...

Yong Zhao, et al. ∙

research

∙ 02/21/2019

ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset

State-of-the-art face recognition algorithms are able to achieve good pe...

Guiying Zhang, et al. ∙

research

∙ 01/04/2019

Speaker Adaptation for End-to-End CTC Models

We propose two approaches for speaker adaptation in end-to-end (E2E) aut...

Ke Li, et al. ∙

research

∙ 04/02/2018

Speaker-Invariant Training via Adversarial Learning

We propose a novel adversarial multi-task learning scheme, aiming at act...

Zhong Meng, et al. ∙

research

∙ 03/26/2018

Cascaded multi-scale and multi-dimension convolutional neural network for stereo matching

Convolutional neural networks(CNN) have been shown to perform better tha...

Haihua Lu, et al. ∙

research

∙ 01/18/2018

Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network

Single Shot MultiBox Detector (SSD) is one of the fastest algorithms in ...

Liwen Zheng, et al. ∙

research

∙ 01/05/2018

Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion

The split control and user plane is key to the future heterogeneous cell...

Yuhao Zhang, et al. ∙

research

∙ 08/02/2017

Kernalised Multi-resolution Convnet for Visual Tracking

Visual tracking is intrinsically a temporal problem. Discriminative Corr...

Di Wu, et al. ∙

research

∙ 01/03/2017

End-to-End Attention based Text-Dependent Speaker Verification

A new type of End-to-End system for text-dependent speaker verification ...

Shi-Xiong Zhang, et al. ∙

research

∙ 11/28/2016

Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization

The omnipresence of deep learning architectures such as deep convolution...

Meshia Cédric Oveneke, et al. ∙

research

∙ 04/11/2016

Binarized Neural Networks on the ImageNet Classification Task

We trained Binarized Neural Networks (BNNs) on the high resolution Image...

Xundong Wu, et al. ∙

Yong Zhao

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