• A Rhombic Dodecahedron Topology for Human-Centric Banking Big Data 

      Wang, Hao; Ma, Shenglan; Dai, Hong-Ning (Journal article; Peer reviewed, 2019)
      Banks are collecting an unprecedentedly large amount of data about their customers from difference sources, considering their cyber, physical, social activities. The focus of this paper is to study the problem of information ...
    • Blockchain-based data privacy management with Nudge theory in open banking 

      Wang, Hao; Ma, Shenglan; Dai, Hong-Ning; Imran, Muhammad; Wang, Tongsen (Journal article; Peer reviewed, 2019)
      Open banking brings both opportunities and challenges to banks all over the world especially in data management. A blockchain as a continuously growing list of records managed by a peer-to-peer network is widely used in ...
    • Blockchain-Based Power Energy Trading Management 

      Wang, Hao; Ma, Shenglan; Guo, Chaonian; Wu, Yulei; Dai, Hong-Ning; Wu, Di (Peer reviewed; Journal article, 2021)
      Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise ...
    • MHDT: A Deep-Learning-Based Text Detection Algorithm for Unstructured Data in Banking 

      Ma, Shenglan; Yang, Lingling; Wang, Hao; Xiao, Hong; Dai, Hong-Ning; Cheng, Shuhan; Wang, Tongsen (Chapter, 2019)
      Text detection in natural scene images becomes highly demanded for unstructured data in banking. In this paper, we propose a new deep learning algorithm called MSER, Hu-moment and Deep learning for Text detection (MHDT) ...