Yu Shi

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Microsoft ∙ University of Illinois at Urbana-Champaign ∙ Tsinghua University

Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model

Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
02/22/2021 ∙ by Junwei Liao, et al. ∙ 10 ∙ share

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Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders

Recently, universal neural machine translation (NMT) with shared encoder...
02/12/2021 ∙ by Junwei Liao, et al. ∙ 12 ∙ share

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Speech-language Pre-training for End-to-end Spoken Language Understanding

End-to-end (E2E) spoken language understanding (SLU) can infer semantics...
02/11/2021 ∙ by Yao Qian, et al. ∙ 9 ∙ share

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Listen, Look and Deliberate: Visual context-aware speech recognition using pre-trained text-video representations

In this study, we try to address the problem of leveraging visual signal...
11/08/2020 ∙ by Shahram Ghorbani, et al. ∙ 0 ∙ share

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Mixed-Lingual Pre-training for Cross-lingual Summarization

Cross-lingual Summarization (CLS) aims at producing a summary in the tar...
10/18/2020 ∙ by Ruochen Xu, et al. ∙ 7 ∙ share

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MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension

Span extraction is an essential problem in machine reading comprehension...
09/29/2020 ∙ by Huaishao Luo, et al. ∙ 0 ∙ share

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A Novel Method for Inference of Acyclic Chemical Compounds with Bounded Branch-height Based on Artificial Neural Networks and Integer Programming

Analysis of chemical graphs is a major research topic in computational m...
09/21/2020 ∙ by Naveed Ahmed Azam, et al. ∙ 0 ∙ share

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Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining

As a spontaneous expression of emotion on face, micro-expression is rece...
09/19/2020 ∙ by Min Peng, et al. ∙ 13 ∙ share

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ServiceNet: A P2P Service Network

Given a large number of online services on the Internet, from time to ti...
09/04/2020 ∙ by Ji Liu, et al. ∙ 0 ∙ share

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DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
08/26/2020 ∙ by Jiawen Yao, et al. ∙ 12 ∙ share

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Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

Accurate and automated tumor segmentation is highly desired since it has...
08/24/2020 ∙ by Ling Zhang, et al. ∙ 19 ∙ share

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Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set

Utilizing computed tomography (CT) images to quickly estimate the severi...
06/09/2020 ∙ by Wei Wu, et al. ∙ 26 ∙ share

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Improving Readability for Automatic Speech Recognition Transcription

Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
04/09/2020 ∙ by Junwei Liao, et al. ∙ 0 ∙ share

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Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights

In this work, we propose to study the utility of different meta-graphs, ...
09/29/2019 ∙ by Carl Yang, et al. ∙ 0 ∙ share

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Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity

Text-rich heterogeneous information networks (text-rich HINs) are ubiqui...
09/04/2019 ∙ by Yu Shi, et al. ∙ 0 ∙ share

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A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition

The automatic recognition of micro-expression has been boosted ever sinc...
04/07/2019 ∙ by Min Peng, et al. ∙ 0 ∙ share

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Higher-Order Clustering in Heterogeneous Information Networks

As one type of complex networks widely-seen in real-world application, h...
11/28/2018 ∙ by Yu Shi, et al. ∙ 0 ∙ share

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Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

Heterogeneous information networks (HINs) are ubiquitous in real-world a...
07/10/2018 ∙ by Yu Shi, et al. ∙ 0 ∙ share

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Training of photonic neural networks through in situ backpropagation

Recently, integrated optics has gained interest as a hardware platform f...
05/25/2018 ∙ by Tyler W. Hughes, et al. ∙ 0 ∙ share

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AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks

Heterogeneous information networks (HINs) are ubiquitous in real-world a...
03/05/2018 ∙ by Yu Shi, et al. ∙ 0 ∙ share

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Gradient Boosting With Piece-Wise Linear Regression Trees

Gradient boosting using decision trees as base learners, so called Gradi...
02/15/2018 ∙ by Yu Shi, et al. ∙ 0 ∙ share

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mvn2vec: Preservation and Collaboration in Multi-View Network Embedding

Multi-view networks are ubiquitous in real-world applications. In order ...
01/19/2018 ∙ by Yu Shi, et al. ∙ 0 ∙ share

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Yu Shi

Featured Co-authors

Chao Zhang

Ji Liu

Wei Wu

Jing Xiao

Jiawei Han

Jian Li

Le Lu

Liang Zhao

Jinyu Li

Yuan Gao

Pan Li

Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model

Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders

Speech-language Pre-training for End-to-end Spoken Language Understanding

Listen, Look and Deliberate: Visual context-aware speech recognition using pre-trained text-video representations

Mixed-Lingual Pre-training for Cross-lingual Summarization

MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension

A Novel Method for Inference of Acyclic Chemical Compounds with Bounded Branch-height Based on Artificial Neural Networks and Integer Programming

Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining

ServiceNet: A P2P Service Network

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set

Improving Readability for Automatic Speech Recognition Transcription

Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights

Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity

A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition

Higher-Order Clustering in Heterogeneous Information Networks

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

Training of photonic neural networks through in situ backpropagation

AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks

Gradient Boosting With Piece-Wise Linear Regression Trees

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding