Update in Apr. 2022
Ph.D. in CSE, SJTU (2020 - present)
Advanced Network Laboratory (ANL)
Advisor: Prof. Linghe Kong
junqin.huang@sjtu.edu.cn
Google Scholar
GitHub
CV (pdf)
Research Interests: Internet of Things, Blockchain, Security, Privacy
Ph.D., Computer Science and Engineering
Advisor: Professor Linghe Kong
M.E., Computer Science and Engineering
Advisor: Professor Linghe Kong
B.E., Computer Science and Technology
@article{LeiTITS2022DeFLoc, author={Lei, Jiale and Huang, Junqin and Kong, Linghe and Chen, Guihai and Khan, Muhammad Khurram}, journal={IEEE Transactions on Intelligent Transportation Systems}, title={DeFLoc: Deep Learning Assisted Indoor Vehicle Localization Atop FM Fingerprint Map}, year={2022}, volume={}, number={}, pages={1-12}, doi={10.1109/TITS.2022.3163539} }
@article{XuTITS2022PVTSC, author={Xu, Kangjie and Huang, Junqin and Kong, Linghe and Yu, Jiadi and Chen, Guihai}, journal={IEEE Transactions on Intelligent Transportation Systems}, title={PV-TSC: Learning to Control Traffic Signals for Pedestrian and Vehicle Traffic in 6G Era}, year={2022}, volume={}, number={}, pages={1-12}, doi={10.1109/TITS.2022.3156816} }
@article{HuangTII2020Blockchain, author={Huang, Junqin and Kong, Linghe and Dai, Hong-Ning and Ding, Weiping and Cheng, Long and Chen, Guihai and Jin, Xi and Zeng, Peng}, journal={IEEE Transactions on Industrial Informatics}, title={Blockchain-Based Mobile Crowd Sensing in Industrial Systems}, year={2020}, volume={16}, number={10}, pages={6553-6563}, doi={10.1109/TII.2019.2963728} }
@article{HuangTII2019Secure, author={Huang, Junqin and Kong, Linghe and Chen, Guihai and Wu, Min-You and Liu, Xue and Zeng, Peng}, journal={IEEE Transactions on Industrial Informatics}, title={Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism}, year={2019}, volume={15}, number={6}, pages={3680-3689}, doi={10.1109/TII.2019.2903342} }
@inproceedings{WangGLOBECOM2021Privacy, author={Wang, Jingwei and Huang, Junqin and Kong, Linghe and Chen, Guihai and Zhou, Dianle and Rodrigues, Joel J.P. C.}, booktitle={2021 IEEE Global Communications Conference (GLOBECOM)}, title={A Privacy-Preserving Vehicular Data Sharing Framework atop Multi-Sharding Blockchain}, year={2021}, volume={}, number={}, pages={1-6}, doi={10.1109/GLOBECOM46510.2021.9685366} }
@inproceedings{HuangICDCS2019BIoT, author={Huang, Junqin and Kong, Linghe and Chen, Guihai and Cheng, Long and Wu, Kaishun and Liu, Xue}, booktitle={2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)}, title={B-IoT: Blockchain Driven Internet of Things with Credit-Based Consensus Mechanism}, year={2019}, volume={}, number={}, pages={1348-1357}, doi={10.1109/ICDCS.2019.00135} }
@inproceedings{LiBIGCOM2017Big, author={Yue, Li and Junqin, Huang and Shengzhi, Qin and Ruijin, Wang}, booktitle={2017 3rd International Conference on Big Data Computing and Communications (BIGCOM)}, title={Big Data Model of Security Sharing Based on Blockchain}, year={2017}, volume={}, number={}, pages={117-121}, doi={10.1109/BIGCOM.2017.31} }
@inproceedings{HuangMobiArch2021Learning, title = {Learning-based Congestion Control Simulator for Mobile Internet Education}, author = {Huang, Junqin and Kong, Linghe and Wu, jiejian and Liu, Yutong and Li, Yuchen and Wang, Zhe}, year = {2021}, booktitle = {Proceedings of the 16th ACM Workshop on Mobility in the Evolving Internet Architecture (MobiArch '21)}, pages = {1–6}, numpages = {6} }
@inproceedings{HuangHotICN2018Blockchain, author={Huang, Junqin and Kong, Lingkun and Kong, Linghe and Liu, Zhen and Liu, Zhiqiang and Chen, Guihai}, booktitle={2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN)}, title={Blockchain-based Crowd-sensing System}, year={2018}, volume={}, number={}, pages={234-235}, doi={10.1109/HOTICN.2018.8605960} }
@incollection{HuangSmart2019Outlier, title={Outlier discrimination and correction in intelligent transportation systems}, author={Huang, Junqin and Kong, Linghe and Chen, Guihai}, booktitle={Smart Cities Cybersecurity and Privacy}, pages={203--215}, year={2019}, publisher={Elsevier} }
Motivated by more and more hotel candid shots events, we try to detect if there exists any hidden camera through reading EMI signals from the power line, which is inspired by ElectriSense (Ubicomp'10). We built a PLI module and used USRP N210 to construct the experiment platform.
We combine blockchain and crowdsensing to build a trustworthy decentralized crowdsensing platform, which breaks the traditional centralized triangular architecture. We leverage miners to verifying data quality while without knowing the content of data.