A queuing-based delay-tolerant scheme for energy efficiency over cognitive radio networks. - Bi Zhao; Vasilis Friderikos (GLOBECOM Workshops, 2012)

Optimal stopping for energy efficiency with delay constraints in Cognitive Radio networks. - Bi Zhao; Vasilis Friderikos (PIMRC, 2012)

Extending recharging cycles of mobile devices with intelligent use of wireless interfaces. - Bi Zhao; Vasilis Friderikos (PIMRC, 2013)

Balancing Transmission and Storage Cost for Reducing Energy Consumption in Mobile Devices. - Bi Zhao; Vasilis Friderikos (VTC Spring, 2013)

Increased Energy Efficiency via Delay-Tolerant Transmissions in Cognitive Radio Networks. - Bi Zhao; Vasilis Friderikos (Netw. Protoc. Algorithms, 2013)

Energy-efficient delay-tolerant cognitive radio networks. - Bi Zhao (2015)

Measuring the inter-sample heterogeneity by dynamic PCA biplot. - Bi Zhao; Bin Xue (BIBM, 2017)

Joint Virtual Energy Storage Modeling with Electric Vehicle Participation in Energy Local Area Smart Grid. - Rui-Cheng Dai; Bi Zhao; Xiao-Di Zhang; Jun-Wei Yu; Bo Fan; Biao Liu (Complex., 2020)

DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning. - Akila Katuwawala; Bi Zhao; Lukasz A. Kurgan (Bioinform., 2021)

DescribePROT: database of amino acid-level protein structure and function predictions. - Bi Zhao; Akila Katuwawala; Christopher J. Oldfield; A. Keith Dunker; Eshel Faraggi; Jörg Gsponer; Andrzej Kloczkowski; Nawar Malhis; Milot Mirdita; Zoran Obradovic; Johannes Söding; Martin Steinegger; et al. (Nucleic Acids Res., 2021)

DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. - Fuhao Zhang; Bi Zhao; Wenbo Shi; Min Li 007; Lukasz A. Kurgan (Briefings Bioinform., 2022)

CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information. - Zhenling Peng; Zixia Li; Qiaozhen Meng; Bi Zhao; Lukasz A. Kurgan (Briefings Bioinform., 2023)

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. - Alessio Del Conte; Adel Bouhraoua; Mahta Mehdiabadi; Damiano Clementel; Alexander Miguel Monzon; Alex S. Holehouse; Daniel A. Griffith; Ryan J. Emenecker; Ashwini Patil; Ronesh Sharma; Tatsuhiko Tsunoda; Alok Sharma; et al. (Nucleic Acids Res., 2023)

RDLinear: A Novel Time Series Forecasting Model Based on Decomposition with RevIN. - Hao Wang; Dongsheng Zou; Bi Zhao; Yuming Yang; Jiyuan Liu 011; Naiquan Chai; Xinyi Song (IJCNN, 2024)

Entity and Evidence Guided Attention for Document-Level Relation Extraction. - Yi Yu; Dongsheng Zou; YuMing Yang; Xinyi Song; Hao Wang; Bi Zhao (IJCNN, 2024)