activity
20162021
most citedDetection of money laundering groups using supervised learning in networks

33 citations · 52 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2021★ 1 cited

Multi-objective Scheduling of Electric Vehicle Charging/Discharging with Time of Use Tariff

Hui Song, Chen Liu, Mahdi Jalili +2

The increased uptake of electric vehicles (EVs) leads to increased demand for electricity, and sometimes pressure on power grids. Uncoordinated charging of EVs may result in stress…

cs.MA2020

Fixed-Time Cooperative Tracking Control for Double-Integrator Multi-Agent Systems: A Time-Based Generator Approach

Qiang Chen, Yu Zhao, Guanghui Wen +2

In this paper, both the fixed-time distributed consensus tracking and the fixed-time distributed average tracking problems for double-integrator-type multi-agent systems with bound…

eess.SP2020

Can the Multi-Incoming Smart Meter Compressed Streams be Re-Compressed?

Sharif Abuadbba, Ayman Ibaida, Ibrahim Khalil +3

Smart meters have currently attracted attention because of their high efficiency and throughput performance. They transmit a massive volume of continuously collected waveform readi…

eess.SY2018★ 5 cited

On Synchronization of Dynamical Systems over Directed Switching Topologies: An Algebraic and Geometric Perspective

Jiahu Qin, Qichao Ma, Xinghuo Yu +1

In this paper, we aim to investigate the synchronization problem of dynamical systems, which can be of generic linear or Lipschitz nonlinear type, communicating over directed switc…

cs.SI2016★ 33 cited

Detection of money laundering groups using supervised learning in networks

David Savage, Qingmai Wang, Pauline Chou +2

Money laundering is a major global problem, enabling criminal organisations to hide their ill-gotten gains and to finance further operations. Prevention of money laundering is seen…

cs.SI2016★ 2 cited

Detection of opinion spam based on anomalous rating deviation

David Savage, Xiuzhen Zhang, Xinghuo Yu +2

The publication of fake reviews by parties with vested interests has become a severe problem for consumers who use online product reviews in their decision making. To counter this…

cs.SI2016★ 11 cited

Anomaly detection in online social networks

David Savage, Xiuzhen Zhang, Xinghuo Yu +2

Anomalies in online social networks can signify irregular, and often illegal behaviour. Anomalies in online social networks can signify irregular, and often illegal behaviour. Dete…