Biography

Cong Peng is a PhD student in the Department of Computer Science at Blekinge Institute of Technology (BTH). He has master’s degrees in Computer Science from BTH, and Software Engineering from Zhejiang University of Technology in China. His research interests are Semantic Web, Machine Learning, eHealth and Web services. He has been involved in the works of teaching assistant, bachelor thesis supervision and review.

Interests

  • Machine Learning
  • Semantic Web
  • NLP
  • Knowledge Graph
  • Web Technologies
  • eHealth
  • Cloud Computing

Education

  • M.Sc. in Software Engineering, 2014

    Zhejiang University of Technology, China

  • M.Sc. in Computer Science, 2013

    Blekinge Institute of Technology, Sweden

Projects

LinkedInfo.co

The Web should be an open web, all the informations published on the Web are meant to be shared. Linkedinfo.co is a Web service uses …
Go to Linkedinfo.co

Text Analysis Service

A text analysis Web service for technical articles includes topic identification and keywords extraction. The model of topic …
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XGBoost.swift

The first Swift interface for XGBoost, which is an optimized distributed gradient boosting library implements Machine Learning …
Github

Skin Lesion Classifier

A skin lesion classifier that uses a deep neural network trained on the HAM10000 dataset. An implementation of the ISIC challenge 2018 …
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Recent Posts

Using BERT to perform Topic Tag Prediction for Technical Articles

Introduction This is a follow up post of Multi-label classification to predict topic tags of technical articles from LinkedInfo.co. We …
Last updated on Mar 31, 2020 31 min read

A Walk Through of the IEEE-CIS Fraud Detection Challenge

Introduction This is a brief walk through of the Kaggle challenge IEEE-CIS Fraud Detection. The process in this post is not meant to …
Feb 10, 2020 18 min read

Skin Lesion Image Classification with Deep Convolutional Neural Networks

Introduction In this post we will show how to do skin lesion image classification with deep neural networks. It is an image classifier …
Last updated on Jan 6, 2020 12 min read

Multi-label classification to predict topic tags of technical articles from LinkedInfo.co

This code snippet is to predict topic tags based on the text of an article. Each article could have 1 or more tags (usually have at …
Last updated on Sep 13, 2019 10 min read
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Recent Publications

A literature review of current technologies on health data integration for patient-centered health management

Health data integration enables a collaborative utilization of data across different systems. It not only provides a comprehensive view …
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Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology

The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes …
PDF DOI

What Can Teachers Do to Make the Group Work Learning Effective - a Literature Review

Group work-based learning is encouraged in higher education on account of both ped-agogical benefits and industrial employers’s …
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Tags

BERT Chronic disease cloud computing collaborative learning Deep Learning eHealth FHIR Fraud Detection Gradient Boosting Group work Health data integration Image Classification LinkedInfo.co Machine Learning Multi-label classification ontology REST Semantic Web Text classification Web service