b'Yujing Wang'

Graph Attention Networks with LSTM-based Path Reweighting

Graph Neural Networks (GNNs) have been extensively used for mining graph...
06/21/2021 ∙ by Jianpeng Chen, et al. ∙ 0 ∙ share

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Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss

This paper presents TS2Vec, a universal framework for learning timestamp...
06/19/2021 ∙ by Zhihan Yue, et al. ∙ 0 ∙ share

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Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Multivariate time-series forecasting plays a crucial role in many real-w...
03/13/2021 ∙ by Defu Cao, et al. ∙ 0 ∙ share

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Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees

Pre-trained language models like BERT achieve superior performances in v...
03/07/2021 ∙ by Jiangang Bai, et al. ∙ 0 ∙ share

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AutoADR: Automatic Model Design for Ad Relevance

Large-scale pre-trained models have attracted extensive attention in the...
10/14/2020 ∙ by Yiren Chen, et al. ∙ 4 ∙ share

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Multivariate Time-series Anomaly Detection via Graph Attention Network

Anomaly detection on multivariate time-series is of great importance in ...
09/04/2020 ∙ by Hang Zhao, et al. ∙ 43 ∙ share

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Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering

Knowledge-based Visual Question Answering (KVQA) requires external knowl...
08/31/2020 ∙ by Jing Yu, et al. ∙ 0 ∙ share

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Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering

Fact-based Visual Question Answering (FVQA) requires external knowledge ...
06/16/2020 ∙ by Zihao Zhu, et al. ∙ 0 ∙ share

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Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based VisualQuestion Answering

Fact-based Visual Question Answering (FVQA) requires external knowledge ...
06/16/2020 ∙ by Zihao Zhu, et al. ∙ 0 ∙ share

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LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

BERT is a cutting-edge language representation model pre-trained by a la...
04/08/2020 ∙ by Yihuan Mao, et al. ∙ 0 ∙ share

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Improving BERT with Self-Supervised Attention

One of the most popular paradigms of applying large, pre-trained NLP mod...
04/08/2020 ∙ by Xiaoyu Kou, et al. ∙ 0 ∙ share

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Deeper Insights into Weight Sharing in Neural Architecture Search

With the success of deep neural networks, Neural Architecture Search (NA...
01/06/2020 ∙ by Yuge Zhang, et al. ∙ 19 ∙ share

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TextNAS: A Neural Architecture Search Space tailored for Text Representation

Learning text representation is crucial for text classification and othe...
12/23/2019 ∙ by Yujing Wang, et al. ∙ 0 ∙ share

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Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application

The graph is a natural representation of data in a variety of real-world...
11/21/2019 ∙ by Bitan Hou, et al. ∙ 0 ∙ share

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A Code injection Method for Rapid Docker Image Building

Docker images are built by layers, yet the current implementation has ma...
11/18/2019 ∙ by Yujing Wang, et al. ∙ 0 ∙ share

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Developing a Process in Architecting Microservice Infrastructure with Docker, Kubernetes, and Istio

As an application usage grows, its owner scales up vertically by replaci...
11/06/2019 ∙ by Yujing Wang, et al. ∙ 0 ∙ share

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Adapting a Container Infrastructure for Autonomous Vehicle Development

In the field of Autonomous Vehicle (AV) development, having a robust yet...
11/04/2019 ∙ by Yujing Wang, et al. ∙ 0 ∙ share

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An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation

Graph Convolutional Network (GCN) has attracted intensive interests rece...
10/10/2019 ∙ by Nezihe Merve Gürel, et al. ∙ 28 ∙ share

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Time-Series Anomaly Detection Service at Microsoft

Large companies need to monitor various metrics (for example, Page Views...
06/10/2019 ∙ by Hansheng Ren, et al. ∙ 0 ∙ share

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A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles

Non-signalized intersection is a typical and common scenario for connect...
04/22/2019 ∙ by Yadong Xing, et al. ∙ 0 ∙ share

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Yujing Wang

Featured Co-authors

Yang Wang

Yi Zhang

Yan Zhang

Li Li

Qi Zhang

Ce Zhang

Qi Wu

Xiao Wang

Wei Shen

Chen Zhang

Hang Zhao

Graph Attention Networks with LSTM-based Path Reweighting

Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees

AutoADR: Automatic Model Design for Ad Relevance

Multivariate Time-series Anomaly Detection via Graph Attention Network

Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based VisualQuestion Answering

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

Improving BERT with Self-Supervised Attention

Deeper Insights into Weight Sharing in Neural Architecture Search

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application

A Code injection Method for Rapid Docker Image Building

Developing a Process in Architecting Microservice Infrastructure with Docker, Kubernetes, and Istio

Adapting a Container Infrastructure for Autonomous Vehicle Development

An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation

Time-Series Anomaly Detection Service at Microsoft

A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles