Junqin Huang

University of Electronic Science and Technology of China (UESTC)

• September, 2014 - June, 2018

  He received the B.E. degree in computer science and technology from UESTC, Chengdu, China, in 2018.

Shanghai Jiao Tong University (SJTU)

• September, 2018 -

  He is currently working toward the Master's degree in computer technology at SJTU, Shanghai, China.

• ProgressBar source code

  Several awesome progress bar styles implemented in CSS3 & JavaScript.

  
• FAT12 source code

  A fat12 file system implemented in C.

  
• musicBox source code

  A simple VOD platform based on the Raspberry Pi and WeChat.

  
• paperchain source code demo

  Decentralized App (DApp) and smart contracts for paper copyright protection and implemented on Ethereum blockchain, which is an exploration of digital work copyright protection.

  
• FakeGPS source code

  FakeGPS is a GPS device simulator. GPS location signal keep output according to the given coordinates. By the direction keys on the joystick, the user can simulate walking on the map.

  

• Journal

  [2] Junqin Huang, Linghe Kong*, Xue Liu, Peng Zeng, Min-You Wu, Guihai Chen. "Towards Secure Industrial IoT: Blockchain System with Credit-Based Consensus Mechanism". IEEE Transactions on Industrial Informatics (TII), accepted. [To appear]

  [1] LI Yue, HUANG Junqin, WANG Ruijin*. DCI control model of digital works based on blockchain[J]. Journal of Computer Applications, 2017, 37(11): 3281-3287. [PDF]

• Conference

  [2] Junqin Huang, Lingkun Kong, Linghe Kong*, Zhen Liu, Zhiqiang Liu and Guihai Chen. "Blockchain-based Crowd-sensing System". IEEE HotICN International Conference, 2018. [PDF]

  [1] L. Yue, H. Junqin, Q. Shengzhi and W. Ruijin*, "Big Data Model of Security Sharing Based on Blockchain", 2017 3rd International Conference on Big Data Computing and Communications (BIGCOM), 2018. [PDF]

• Book

  [1] Junqin Huang, Linghe Kong*, Guihai Chen. "Outlier Discrimination and Correction in Intelligent Transportation Systems". Smart Cities Cybersecurity and Privacy, Elsevier, 2018. [PDF]

• Interests

  His research interests include Crowdsensing, Big Data, Data Mining, Internet of Things, Blockchain, etc.

• Self-evaluation

  He is a hard worker, quick learner, easy going and ability to assume responsibility.