b'Jian Wu'

Modeling Updates of Scholarly Webpages Using Archived Data

The vastness of the web imposes a prohibitive cost on building large-sca...
12/07/2020 ∙ by Yasith Jayawardana, et al. ∙ 0 ∙ share

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Multi-Channel Automatic Speech Recognition Using Deep Complex Unet

The front-end module in multi-channel automatic speech recognition (ASR)...
11/18/2020 ∙ by Yuxiang Kong, et al. ∙ 0 ∙ share

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IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines

The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speec...
11/04/2020 ∙ by Yihui Fu, et al. ∙ 0 ∙ share

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DESNet: A Multi-channel Network for Simultaneous Speech Dereverberation, Enhancement and Separation

In this paper, we propose a multi-channel network for simultaneous speec...
11/04/2020 ∙ by Yihui Fu, et al. ∙ 0 ∙ share

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Multi-View Adaptive Fusion Network for 3D Object Detection

3D object detection based on LiDAR-camera fusion is becoming an emerging...
11/02/2020 ∙ by Guojun Wang, et al. ∙ 3 ∙ share

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Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020

This paper describes the Microsoft speaker diarization system for monaur...
10/22/2020 ∙ by Xiong Xiao, et al. ∙ 0 ∙ share

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An End-to-end Architecture of Online Multi-channel Speech Separation

Multi-speaker speech recognition has been one of the keychallenges in co...
09/07/2020 ∙ by Jian Wu, et al. ∙ 0 ∙ share

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Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music

This paper presents a new input format, channel-wise subband input (CWS)...
08/12/2020 ∙ by Haohe Liu, et al. ∙ 0 ∙ share

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NPU Speaker Verification System for INTERSPEECH 2020 Far-Field Speaker Verification Challenge

This paper describes the NPU system submitted to Interspeech 2020 Far-Fi...
08/08/2020 ∙ by Li Zhang, et al. ∙ 0 ∙ share

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DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Speech enhancement has benefited from the success of deep learning in te...
08/01/2020 ∙ by Yanxin Hu, et al. ∙ 0 ∙ share

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Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks

Subject categories of scholarly papers generally refer to the knowledge ...
07/27/2020 ∙ by Bharath Kandimalla, et al. ∙ 0 ∙ share

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ResNeXt and Res2Net Structure for Speaker Verification

ResNet-based architecture has been widely adopted as the speaker embeddi...
07/06/2020 ∙ by Tianyan Zhou, et al. ∙ 0 ∙ share

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Speaker diarization with session-level speaker embedding refinement using graph neural networks

Deep speaker embedding models have been commonly used as a building bloc...
05/22/2020 ∙ by Jixuan Wang, et al. ∙ 6 ∙ share

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UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Recently, a growing interest has been seen in deep learning-based semant...
04/19/2020 ∙ by Huimin Huang, et al. ∙ 57 ∙ share

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Continuous speech separation: dataset and analysis

This paper describes a dataset and protocols for evaluating continuous s...
01/30/2020 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Audio-visual Recognition of Overlapped speech for the LRS2 dataset

Automatic recognition of overlapped speech remains a highly challenging ...
01/06/2020 ∙ by Jianwei Yu, et al. ∙ 0 ∙ share

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Query Auto Completion for Math Formula Search

Query Auto Completion (QAC) is among the most appealing features of a we...
12/09/2019 ∙ by Shaurya Rohatgi, et al. ∙ 0 ∙ share

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Method and Dataset Mining in Scientific Papers

Literature analysis facilitates researchers better understanding the dev...
11/29/2019 ∙ by Rujing Yao, et al. ∙ 0 ∙ share

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Multi-Modal Attention Network Learning for Semantic Source Code Retrieval

Code retrieval techniques and tools have been playing a key role in faci...
09/30/2019 ∙ by Yao Wan, et al. ∙ 0 ∙ share

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Dunhuang Grottoes Painting Dataset and Benchmark

This document introduces the background and the usage of the Dunhuang Gr...
07/10/2019 ∙ by Tianxiu Yu, et al. ∙ 0 ∙ share

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Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets

Automatically extracted metadata from scholarly documents in PDF formats...
06/20/2019 ∙ by Athar Sefid, et al. ∙ 0 ∙ share

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A comprehensive study of speech separation: spectrogram vs waveform separation

Speech separation has been studied widely for single-channel close-talk ...
05/17/2019 ∙ by Fahimeh Bahmaninezhad, et al. ∙ 0 ∙ share

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X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks

Computed tomography (CT) can provide a 3D view of the patient's internal...
05/16/2019 ∙ by Xingde Ying, et al. ∙ 0 ∙ share

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End-to-End Multi-Channel Speech Separation

The end-to-end approach for single-channel speech separation has been st...
05/15/2019 ∙ by Rongzhi Gu, et al. ∙ 0 ∙ share

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Personalized Context-aware Re-ranking for E-commerce Recommender Systems

Ranking is a core task in E-commerce recommender systems, which aims at ...
04/15/2019 ∙ by Changhua Pei, et al. ∙ 0 ∙ share

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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Modeling users' dynamic and evolving preferences from their historical b...
04/14/2019 ∙ by Fei Sun, et al. ∙ 0 ∙ share

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Improved Speaker-Dependent Separation for CHiME-5 Challenge

This paper summarizes several follow-up contributions for improving our ...
04/08/2019 ∙ by Jian Wu, et al. ∙ 0 ∙ share

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Time Domain Audio Visual Speech Separation

Audio-visual multi-modal modeling has been demonstrated to be effective ...
04/07/2019 ∙ by Jian Wu, et al. ∙ 0 ∙ share

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Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning

Bayesian optimization is popular for optimizing time-consuming black-box...
03/12/2019 ∙ by Jian Wu, et al. ∙ 12 ∙ share

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Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Code summarization provides a high level natural language description of...
11/17/2018 ∙ by Yao Wan, et al. ∙ 0 ∙ share

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Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training

Dialogue Act (DA) classification is a challenging problem in dialogue in...
11/12/2018 ∙ by Yao Wan, et al. ∙ 0 ∙ share

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Learned Iterative Decoding for Lossy Image Compression Systems

For lossy image compression systems, we develop an algorithm called iter...
03/15/2018 ∙ by Alexander G. Ororbia, et al. ∙ 0 ∙ share

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A Hierarchical Recurrent Neural Network for Symbolic Melody Generation

In recent years, neural networks have been used to generate music pieces...
12/14/2017 ∙ by Jian Wu, et al. ∙ 0 ∙ share

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A Broad Learning Approach for Context-Aware Mobile Application Recommendation

With the rapid development of mobile apps, the availability of a large n...
09/11/2017 ∙ by Tingting Liang, et al. ∙ 0 ∙ share

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Discretization-free Knowledge Gradient Methods for Bayesian Optimization

This paper studies Bayesian ranking and selection (R&S) problems with co...
07/20/2017 ∙ by Jian Wu, et al. ∙ 0 ∙ share

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Bayesian Optimization with Gradients

Bayesian optimization has been successful at global optimization of expe...
03/13/2017 ∙ by Jian Wu, et al. ∙ 0 ∙ share

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The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

In many applications of black-box optimization, one can evaluate multipl...
06/14/2016 ∙ by Jian Wu, et al. ∙ 0 ∙ share

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Multi-modal Fusion for Diabetes Mellitus and Impaired Glucose Regulation Detection

Effective and accurate diagnosis of Diabetes Mellitus (DM), as well as i...
04/12/2016 ∙ by Jinxing Li, et al. ∙ 0 ∙ share

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Jian Wu

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