Ming Zhang

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Microsoft ∙ Université de Montréal ∙ Peking University

Extensive knowledge and proficient skills in both the networking theoretical analysis and practical coding skills

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction

Clinical outcome prediction based on the Electronic Health Record (EHR) ...
03/20/2019 ∙ by Luchen Liu, et al. ∙ 36 ∙ share

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GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Molecular graph generation is a fundamental problem for drug discovery a...
01/26/2020 ∙ by Chence Shi, et al. ∙ 20 ∙ share

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Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning

This paper studies recommender systems with knowledge graphs, which can ...
06/22/2019 ∙ by Weiping Song, et al. ∙ 12 ∙ share

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Learning to Answer Ambiguous Questions with Knowledge Graph

In the task of factoid question answering over knowledge base, many ques...
12/25/2019 ∙ by Yikai Zhu, et al. ∙ 9 ∙ share

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AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

Click-through rate (CTR) prediction, which aims to predict the probabili...
10/29/2018 ∙ by Weiping Song, et al. ∙ 8 ∙ share

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A Graph to Graphs Framework for Retrosynthesis Prediction

A fundamental problem in computational chemistry is to find a set of rea...
03/28/2020 ∙ by Chence Shi, et al. ∙ 2 ∙ share

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An Attention-based Collaboration Framework for Multi-View Network Representation Learning

Learning distributed node representations in networks has been attractin...
09/19/2017 ∙ by Meng Qu, et al. ∙ 0 ∙ share

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Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices

With the rapid proliferation of Internet of Things and intelligent edge ...
01/02/2017 ∙ by Wenjia Meng, et al. ∙ 0 ∙ share

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Improving Color Constancy by Discounting the Variation of Camera Spectral Sensitivity

It is an ill-posed problem to recover the true scene colors from a color...
09/06/2016 ∙ by Shao-Bing Gao, et al. ∙ 0 ∙ share

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Towards Automated ICD Coding Using Deep Learning

International Classification of Diseases(ICD) is an authoritative health...
11/11/2017 ∙ by Haoran Shi, et al. ∙ 0 ∙ share

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Syntax Aware LSTM Model for Chinese Semantic Role Labeling

As for semantic role labeling (SRL) task, when it comes to utilizing par...
04/03/2017 ∙ by Feng Qian, et al. ∙ 0 ∙ share

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Less is More: Learning Prominent and Diverse Topics for Data Summarization

Statistical topic models efficiently facilitate the exploration of large...
11/29/2016 ∙ by Jian Tang, et al. ∙ 0 ∙ share

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Context-aware Natural Language Generation with Recurrent Neural Networks

This paper studied generating natural languages at particular contexts o...
11/29/2016 ∙ by Jian Tang, et al. ∙ 0 ∙ share

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Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems

Open-domain human-computer conversation has attracted much attention in ...
10/23/2016 ∙ by Yiping Song, et al. ∙ 0 ∙ share

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Dialogue Session Segmentation by Embedding-Enhanced TextTiling

In human-computer conversation systems, the context of a user-issued utt...
10/13/2016 ∙ by Yiping Song, et al. ∙ 0 ∙ share

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World Knowledge as Indirect Supervision for Document Clustering

One of the key obstacles in making learning protocols realistic in appli...
07/30/2016 ∙ by Chenguang Wang, et al. ∙ 0 ∙ share

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Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction

In this paper, we develop a novel approach to aspect term extraction bas...
05/25/2016 ∙ by Yichun Yin, et al. ∙ 0 ∙ share

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StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation

Existing open-domain human-computer conversation systems are typically p...
04/15/2016 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction

The availability of a large amount of electronic health records (EHR) pr...
03/13/2018 ∙ by Luchen Liu, et al. ∙ 0 ∙ share

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An Online Algorithm for Power-proportional Data Centers with Switching Cost

Recent works show that power-proportional data centers can save energy c...
03/20/2018 ∙ by Ming Zhang, et al. ∙ 0 ∙ share

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Theory of Generative Deep Learning : Probe Landscape of Empirical Error via Norm Based Capacity Control

Despite its remarkable empirical success as a highly competitive branch ...
10/03/2018 ∙ by Wendi Xu, et al. ∙ 0 ∙ share

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Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution

Evolution of deep learning shows that some algorithmic tricks are more d...
10/03/2018 ∙ by Wendi Xu, et al. ∙ 0 ∙ share

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Efficient Spiking Neural Networks with Logarithmic Temporal Coding

A Spiking Neural Network (SNN) can be trained indirectly by first traini...
11/10/2018 ∙ by Ming Zhang, et al. ∙ 0 ∙ share

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Combating Fake News: A Survey on Identification and Mitigation Techniques

The proliferation of fake news on social media has opened up new directi...
01/18/2019 ∙ by Karishma Sharma, et al. ∙ 0 ∙ share

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Session-based Social Recommendation via Dynamic Graph Attention Networks

Online communities such as Facebook and Twitter are enormously popular a...
02/25/2019 ∙ by Weiping Song, et al. ∙ 0 ∙ share

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A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units

In this paper, a lightweight and accurate localization algorithm is prop...
09/11/2019 ∙ by Ming Zhang, et al. ∙ 0 ∙ share

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Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation

Sepsis is a life-threatening condition that seriously endangers millions...
10/14/2019 ∙ by Luchen Liu, et al. ∙ 0 ∙ share

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Learning to Customize Language Model for Generation-based dialog systems

Personalized conversation systems have received increasing attention rec...
10/31/2019 ∙ by Yiping Song, et al. ∙ 0 ∙ share

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Towards Open-Domain Named Entity Recognition via Neural Correction Models

Named Entity Recognition (NER) plays an important role in a wide range o...
09/13/2019 ∙ by Mengdi Zhu, et al. ∙ 0 ∙ share

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PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction

Dependency context-based word embedding jointly learns the representatio...
11/09/2019 ∙ by Yichun Yin, et al. ∙ 0 ∙ share

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Predictive Multi-level Patient Representations from Electronic Health Records

The advent of the Internet era has led to an explosive growth in the Ele...
11/12/2019 ∙ by Zichang Wang, et al. ∙ 0 ∙ share

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IOTune: A G-states Driver for Elastic Performance of Block Storage

Imagining a disk which provides baseline performance at a relatively low...
05/10/2017 ∙ by Tao Lu, et al. ∙ 0 ∙ share

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Ming Zhang

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