maxwang967,maxwang967,github

Hi there 👋

💼 I'm serving as a research intern at Weixin Group, Tencent, focusing on personalized search & recommendation. I'm also pursing my P.h.D degree in Beijing University of Posts and Telecomunications, working as a research assistant in the Institute of Computing Technology of the Chinese Academy of Sciences. Additionally, I'm also serving as Adviser at multiple organizations and User Group Volunteer at AWS.
🔭 I’m currently working on machine learning and deep learning methods for intelligent transportation systems. I’m generally interested in travel time estimation, traffic flow prediction based on spatio-temporal data and methods and transporation mode detection. Specially, I'm mainly focusing on data mining techniques for time series data and non-Euclidean structure data (e.g. attention-based methods or graph neural networks etc.).
📫 How to reach me: Please feel free to contact me with maxwang967 (at) gmail.com.

Recent Activities

I'm currently focusing on personalized search based on meta learning.
I'm currently focusing on en route travel time estimation based on attention based mechanism. Please feel free to discuss technical issues with me by maxwang967 (at) gmail.com.

maxwang967's Projects

resume-static

This is the resume repo stored static files, please visit following links: https://wangchenxing.com or https://morningstarwang.com

sensorlookuper

A simple app to look up sensor detail in Android devices.

tfmobile

meant to run keras model on android platform

tmd_server

TMDServer is the server side of Transportaion Mode Detection Project. It was built to offer safe API service for TMDMobileNG.

tmdmobile-deprecated

This version of TMD_Mobile has been deprecated, please move to TMDMobileNG for more information.

TMDMobileNG is the client side of C/S system. It's a sensor collector and a AI transportation mode detector. The model is updating on the server side. And this application is mostly for research use. It will be great if you provide your suggestions about our Application or the detection way itself.

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