Graduate Exam Abstract


Ph.D. Preliminary
August 21, 2020, 2:00 pm - 3:30 pm
Exploiting Network Relationships in Social, Transportation and Electrical Network

Abstract: The topic of this presentation will mainly focus on the network relationships, especially in social network, transportation network and power grid. In addition, after reviewing several case studies, a novel concept, named heterogeneous information network, which about network and the relationships within network will be introduced. Finally, there will be a framework of future study been presented.

Case study 1: Two Phase based Spammer Detection in Weibo. We propose a two-phase based spammer detection approach We take the existing works about the user feature as the first phase. Then, we introduce LDA for content mining to analyze the topics of user as the second phase in spammer detection.
Case study 2: Crowdsourcing in ITS: The State of the Work and the Networking. We present a timely literature review of crowdsourcing and its applications in intelligent transportation systems (ITS). We investigate the ITS services enabled by crowdsourcing, the keyword co-occurrence and coauthor networks formed by ITS publications and identify the problems and challenges that need further research.
Case study 3: Decomposed Iterative Optimal Power Flow with Automatic Regionalization. we propose a novel and efficient method to decompose the entire system into multiple sub-systems based on automatic regionalization and acquire the OPF solution across sub-systems. The proposed method performance is more appealing compared with original Matpower solver.

Heterogeneous information network: Compared to widely studied homogeneous information network, the heterogeneous information network contains richer structure and semantic information, which provides plenty of opportunities as well as a lot of challenges for data mining.

Adviser: Liuqing Yang
Co-Adviser: N/A
Non-ECE Member: Haonan Wang, Statistics
Member 3: Anura P. Jayasumana, ECE
Addional Members: J. Rockey Luo, Dongliang Duan

[C1] Xinhu Zheng, Jiamiao Wang, Fei Jie, Lei Li, "Two Phase based Spammer Detection in Weibo", in Proc. of IEEE Int. Conf. on Data Mining Workshop (ICDMW), Atlantic City, NJ, 14-17 Nov. 2015.
[J1] Xinhu Zheng, Wei Chen, Pu Wang, Dayong Shen, Songhang Chen, Xiao Wang, Qingpeng Zhang, and Liuqing Yang, "Big Data in Social Transportation", IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 3, pp. 620-630, March 2016.
[J2] Fei-Yue Wang, Jun Jason Zhang, Xinhu Zheng, Xiao Wang, Yong Yuan, Xiaoxiao Dai, Jie Zhang, Liuqing Yang, "Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond", IEEE/CAA Journal of Automatica Sinica, vol.3, no. 2, April 2016.
[J3] Xiao Wang, Tao Wang, Dayong Shen, Xinhu Zheng, Songhang Chen, "Crowdsourcing in ITS: The State of the Work and the Networking", IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 6, pp. 1596 - 1605, June 2016.
[J4] Xiao Wang, Xinhu Zheng, Xinzhan Zhang, Ke Zeng, Qingpeng Zhang, Fei-Yue Wang, "Analysis of Cyber Interactive Behaviors Using Artificial Community and Computational Experiments", IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1-12, December 2016.
[J5] Fei-Yue Wang, Jie Zhang, Qinglai Wei, Xinhu Zheng, Li Li, "PDP: parallel dynamic programming", IEEE/CAA Journal of Automatica Sinica, vol.4, no. 1, Jan 2017.
[J6] Jun Zhang, Wenzhong Gao, Xinhu Zheng, Liuqing Yang, Jun Hao, "Blockchain Based Intelligent Distributed Electrical Energy Systems:Needs, Concepts, Approaches and Vision", ACTA Automarica Sinica, March 2017.
[J7] Xiao Wang, Rui Jiang, Li Li, Yilun Lin, Xinhu Zheng, Feiyue Wang, "Capturing Car-Following Behaviors by Deep Learning", IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 3, pp. 910-920, March 2018.
[J8] Xinhu Zheng, Dongliang Duan, Liuqing Yang and Haonan Wang, "Decomposed Iterative Optimal Power Flow with Automatic Regionalization", MDPI Journal of Energies, 2020 (in proceedings)

Program of Study: