Yu Shi

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

A Joint and Domain-Adaptive Approach to Spoken Language Understanding

Spoken Language Understanding (SLU) is composed of two subtasks: intent ...
07/25/2021 ∙ by Linhao Zhang, et al. ∙ 1 ∙ share

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Transformer-F: A Transformer network with effective methods for learning universal sentence representation

The Transformer model is widely used in natural language processing for ...
07/02/2021 ∙ by Yu Shi, et al. ∙ 26 ∙ share

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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

Jian Li

Jiawei Han

Liang Zhao

Le Lu

Jinyu Li

Yuan Gao

Pan Li

A Joint and Domain-Adaptive Approach to Spoken Language Understanding

Transformer-F: A Transformer network with effective methods for learning universal sentence representation

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