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

Partial FC: Training 10 Million Identities on a Single Machine

Face recognition has been an active and vital topic among computer visio...
10/11/2020 ∙ by Xiang An, et al. ∙ 15 ∙ share

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Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation

Analyzing the morphological attributes of blood vessels plays a critical...
10/09/2020 ∙ by Yicheng Wu, et al. ∙ 8 ∙ share

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MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion

3D vehicle detection based on multi-modal fusion is an important task of...
09/23/2020 ∙ by Zehan Zhang, et al. ∙ 2 ∙ share

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RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation

We present RangeRCNN, a novel and effective 3D object detection framewor...
09/01/2020 ∙ by Zhidong Liang, et al. ∙ 5 ∙ share

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Association and Caching in Relay-Assisted mmWave Networks: From A Stochastic Geometry Perspective

Limited backhaul bandwidth and blockage effects are two main factors lim...
08/16/2020 ∙ by Zhuojia Gu, et al. ∙ 0 ∙ share

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Augmented Bi-path Network for Few-shot Learning

Few-shot Learning (FSL) which aims to learn from few labeled training da...
07/15/2020 ∙ by Baoming Yan, et al. ∙ 0 ∙ share

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EasyQuant: Post-training Quantization via Scale Optimization

The 8 bits quantization has been widely applied to accelerate network in...
06/30/2020 ∙ by Di Wu, et al. ∙ 0 ∙ share

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Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration

The generative adversarial imitation learning (GAIL) has provided an adv...
06/05/2020 ∙ by Ming Zhang, et al. ∙ 8 ∙ share

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When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications

Model-Agnostic Meta-Learning (MAML), a model-agnostic meta-learning meth...
05/24/2020 ∙ by Zequn Liu, et al. ∙ 0 ∙ share

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Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases

Mortality prediction of diverse rare diseases using electronic health re...
04/11/2020 ∙ by Luchen Liu, et al. ∙ 0 ∙ 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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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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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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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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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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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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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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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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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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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 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Ming Zhang

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