Ming Zhang

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Microsoft ∙ Université de Montréal ∙ Peking University ∙ USTC

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

Orthonormal Product Quantization Network for Scalable Face Image Retrieval

Recently, deep hashing with Hamming distance metric has drawn increasing...
07/01/2021 ∙ by Ming Zhang, et al. ∙ 0 ∙ share

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IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach

In this work, we propose a novel method for performing inertial aided na...
03/26/2021 ∙ by Ming Zhang, et al. ∙ 0 ∙ share

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Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval

Deep supervised hashing for image retrieval has attracted researchers' a...
03/17/2021 ∙ by Ming Zhang, et al. ∙ 0 ∙ share

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MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping

Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
01/21/2021 ∙ by Ruimin Feng, et al. ∙ 17 ∙ share

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QoS-Driven Video Uplinking in NOMA-Based IoT

In recent years, with the explosive growth of visual sensors and a large...
01/15/2021 ∙ by Pengfei Ma, et al. ∙ 0 ∙ share

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Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction

Automatic blood vessel extraction from 3D medical images is crucial for ...
12/14/2020 ∙ by Jiafa He, et al. ∙ 10 ∙ share

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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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