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Posts

Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

Portfolio item number 1

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Portfolio item number 2

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publications

A Novel Learning-based Global Path Planning Algorithm for Planetary Rovers

Submitted to Neurocomputing, 2018

Under review.

Full information: Jiang Zhang, Yuanqing Xia, Ganghui Shen. (2018). "A Novel Learning-based Global Path Planning Algorithm for Planetary Rovers."Neurocomputing. http://academicpages.github.io/files/paper1.pdf

Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach

Submitted to Information Science, 2018

Under review.

Full information: Yufeng Zhan, Yuanqing Xia, Jiang Zhang, Ting Li, Yu Wang. (2018). "Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach." Information Science. http://academicpages.github.io/files/paper2.pdf

An Incentive Mechanism Design for Multi-Leader Multi-Follower Mobile Crowdsensing: A Deep Reinforcement Learning Approach

Submitted to IEEE INFOCOM 2019, 2018

Under review.

Full information: Yufeng Zhan, Jiang Zhang, Chi Harold Liu. (2018). "An Incentive Mechanism Design for Multi-Leader Multi-Follower Mobile Crowdsensing: A Deep Reinforcement Learning Approach."IEEE INFOCOM 2019. http://academicpages.github.io/files/paper3.pdf

A Study on Image Feature Extraction and Matching in Mars Visual Navigation

Submitted to Advances in Space Research, 2018

Under review.

Full information: Xiao Pan, Yuanqing Xia, Ganghui Shen, Jiang Zhang. (2018). "A Study on Image Feature Extraction and Matching in Mars Visual Navigation."Advances in Space Research. http://academicpages.github.io/files/paper4.pdf

Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning

Submitted to IEEE Mobile Computing, 2018

Under review.

Full information: Yufeng Zhan, Chi Harold Liu, Yinuo Zhao, Jiang Zhang. (2018). "Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning."IEEE Mobile Computing http://academicpages.github.io/files/paper5.pdf

Crowdtraining to Mobile Edge Devices in Industry Internet of Things by Deep Reinforcement Learning Approach

Submitted to IEEE Network, 2018

Under review.

Full information: Yufeng Zhan, Jiang Zhang, Peng Li, Yuanqing Xia. (2018). "Crowdtraining to Mobile Edge Devices in Industry Internet of Things by Deep Reinforcement Learning Approach."IEEE Network http://academicpages.github.io/files/paper6.pdf

talks

Talk 1 on Relevant Topic in Your Field

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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!

Conference Proceeding talk 3 on Relevant Topic in Your Field

Published:

This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.