@article {24767,
	title = {Social Computing for Mobile Big Data},
	journal = {IEEE Computer},
	volume = {49},
	year = {2016},
	month = {09/2016},
	publisher = {IEEE},
	abstract = {Mobile big data contains vast statistical features in various dimensions, including spatial, temporal, and the underlying social domain. Understanding and exploiting the features of mobile data from a social network perspective will be extremely beneficial to wireless networks, from planning, operation, and maintenance to optimization and marketing.},
	issn = {0018-9162 },
	doi = {10.1109/MC.2016.267},
	url = {http://ieeexplore.ieee.org/document/7562344/},
	author = {Zhang, X. and Yi, Z. and Yan, Z. and Min, G. and Wang, W. and Elmokashfi, Ahmed and Maharjan, Sabita and Zhang, Yan}
}
@article {23517,
	title = {Macro-assisted Data-only Carrier for 5G Green Cellular Systems},
	journal = {IEEE Communications Magazine},
	volume = {53},
	year = {2015},
	month = {05/2015},
	pages = {223-231},
	publisher = {IEEE},
	author = {Zhang, X. and Zhang, Jin and Zhang, Yan and Wang, W.}
}
@article {23511,
	title = {Performance Analysis of Cognitive Relay Networks Over Nakagami-m Fading Channels},
	journal = {IEEE Journal on Selected Areas in Communications (IEEE JSAC)},
	volume = {33},
	year = {2015},
	month = {05/2015},
	pages = {865-877},
	publisher = {IEEE},
	author = {Zhang, X. and Zhang, Yan and Xiang, Jie and Wang, W.}
}
@article {23519,
	title = {Performance Analysis of Cognitive Relay Networks Over Nakagami-m Fading Channels},
	journal = {IEEE Journal on Selected Areas in Communications (IEEE JSAC)},
	volume = {33},
	year = {2015},
	month = {05/2015},
	pages = {865-877},
	publisher = {IEEE},
	author = {Zhang, X. and Zhang, Yan and Yan, Z. and Xiang, Jie and Wang, W.}
}
@article {Simula.simula.3118,
	title = {Energy-Efficient Multimedia Transmissions Through Base Station Cooperation Over Heterogeneous Cellular Networks Exploiting User Behavior},
	journal = {IEEE Wireless Communications},
	volume = {21},
	number = {4},
	year = {2014},
	author = {Zhang, X. and Yu, Rong and Zhang, Yan and Gao, Y. and Im, M. and Cuthbert, L. and Wang, W.}
}
@article {Simula.simula.3114,
	title = {Enhancing Spectral-Energy Efficiency for LTE-Advanced Heterogeneous Networks: a Users Social Pattern Perspective},
	journal = {IEEE Wireless Communications},
	volume = {21},
	number = {2},
	year = {2014},
	author = {Zhang, X. and Zhang, Yan and Yu, Rong and Wang, W. and Guizani, M.}
}
@inproceedings {24521,
	title = {Hybrid Spectrum Sharing in Cognitive Two-Way Relay Networks},
	journal = {WPMC 2014 (Best Paper Award)},
	year = {2014},
	author = {Zhang, X. and Zhang, Yan and Zhang, Z. and Xiang, Jie and Wang, W.}
}
@article {Simula.sc.808,
	title = {Computational Vascular {fl}uid-structure Interaction: Methodology and Application to Cerebral Aneurysms},
	journal = {Biomechanics and Modeling in Mechanobiology},
	volume = {9},
	number = {4},
	year = {2010},
	pages = {481-498},
	abstract = {A computational vascular fluid-structure interaction framework for the simulation of patient-specific cerebral aneurysm configurations is presented. A new approach for the computation of the blood vessel tissue prestress is also described. Simulations of four patient-specific models are carried out, and quantities of hemodynamic interest such as wall shear stress and wall tension are studied to examine the relevance of fluid-structure interaction modeling when compared to the rigid arterial wall assumption. We demonstrate that flexible wall modeling plays an important role in accurate prediction of patient-specific hemodynamics. Discussion of the clinical relevance of our methods and results is provided.},
	doi = {10.1007/s10237-010-0189-7},
	author = {Y., Bazilevs and Hsu, M.-C and Zhang, Yan and Wang, W. and Kvamsdal, T. and Hentschel, Susanne and J. G. {Isaksen}}
}
