Yujing Wang

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University of Waterloo

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Microsoft

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Georgia Institute of Technology

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Peking University

Featured Co-authors

Yang Wang
194 publications
Yi Zhang
191 publications
Qi Zhang
156 publications
Yan Zhang
155 publications
Li Li
129 publications
Ce Zhang
110 publications
Xiao Wang
102 publications
Xing Xie
87 publications
Qi Wu
87 publications
Irwin King
79 publications
Daxin Jiang
76 publications

∙ 08/02/2022

Binary Classification with Positive Labeling Sources

To create a large amount of training labels for machine learning models ...

Jieyu Zhang, et al. ∙

∙ 06/06/2022

A Neural Corpus Indexer for Document Retrieval

Current state-of-the-art document retrieval solutions mainly follow an i...

Yujing Wang, et al. ∙

∙ 04/12/2022

Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting

Current Knowledge-Grounded Dialogue Generation (KDG) models specialize i...

Qingfeng Sun, et al. ∙

∙ 10/16/2021

Multimodal Dialogue Response Generation

Responsing with image has been recognized as an important capability for...

Qingfeng Sun, et al. ∙

∙ 10/07/2021

Creating Training Sets via Weak Indirect Supervision

Creating labeled training sets has become one of the major roadblocks in...

Jieyu Zhang, et al. ∙

∙ 10/03/2021

Graph Pointer Neural Networks

Graph Neural Networks (GNNs) have shown advantages in various graph-base...

Tianmeng Yang, et al. ∙

∙ 09/23/2021

WRENCH: A Comprehensive Benchmark for Weak Supervision

Recent Weak Supervision (WS) approaches have had widespread success in e...

Jieyu Zhang, et al. ∙

∙ 09/05/2021

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation

To alleviate data sparsity and cold-start problems of traditional recomm...

Yankai Chen, et al. ∙

∙ 06/21/2021

Graph Attention Networks with LSTM-based Path Reweighting

Graph Neural Networks (GNNs) have been extensively used for mining graph...

Jianpeng Chen, et al. ∙

∙ 06/19/2021

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

This paper presents TS2Vec, a universal framework for learning timestamp...

Zhihan Yue, et al. ∙

∙ 03/13/2021

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Multivariate time-series forecasting plays a crucial role in many real-w...

Defu Cao, et al. ∙

∙ 03/07/2021

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

Pre-trained language models like BERT achieve superior performances in v...

Jiangang Bai, et al. ∙

∙ 10/14/2020

AutoADR: Automatic Model Design for Ad Relevance

Large-scale pre-trained models have attracted extensive attention in the...

Yiren Chen, et al. ∙

∙ 09/04/2020

Multivariate Time-series Anomaly Detection via Graph Attention Network

Anomaly detection on multivariate time-series is of great importance in ...

Hang Zhao, et al. ∙

∙ 08/31/2020

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

Knowledge-based Visual Question Answering (KVQA) requires external knowl...

Jing Yu, et al. ∙

∙ 06/16/2020

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

Fact-based Visual Question Answering (FVQA) requires external knowledge ...

Zihao Zhu, et al. ∙

∙ 06/16/2020

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

Fact-based Visual Question Answering (FVQA) requires external knowledge ...

Zihao Zhu, et al. ∙

∙ 04/08/2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

BERT is a cutting-edge language representation model pre-trained by a la...

Yihuan Mao, et al. ∙

∙ 04/08/2020

Improving BERT with Self-Supervised Attention

One of the most popular paradigms of applying large, pre-trained NLP mod...

Xiaoyu Kou, et al. ∙

∙ 01/06/2020

Deeper Insights into Weight Sharing in Neural Architecture Search

With the success of deep neural networks, Neural Architecture Search (NA...

Yuge Zhang, et al. ∙

∙ 12/23/2019

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Learning text representation is crucial for text classification and othe...

Yujing Wang, et al. ∙

∙ 11/21/2019

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...

Bitan Hou, et al. ∙

∙ 11/18/2019

A Code injection Method for Rapid Docker Image Building

Docker images are built by layers, yet the current implementation has ma...

Yujing Wang, et al. ∙

∙ 11/06/2019

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

As an application usage grows, its owner scales up vertically by replaci...

Yujing Wang, et al. ∙

∙ 11/04/2019

Adapting a Container Infrastructure for Autonomous Vehicle Development

In the field of Autonomous Vehicle (AV) development, having a robust yet...

Yujing Wang, et al. ∙

∙ 10/10/2019

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...

Nezihe Merve Gürel, et al. ∙

∙ 06/10/2019

Time-Series Anomaly Detection Service at Microsoft

Large companies need to monitor various metrics (for example, Page Views...

Hansheng Ren, et al. ∙

∙ 04/22/2019

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...

Yadong Xing, et al. ∙