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2020 – today
- 2024
[c7]Hao Wang, Dongsheng Zou, Bi Zhao, Yuming Yang, Jiyuan Liu, Naiquan Chai, Xinyi Song:
RDLinear: A Novel Time Series Forecasting Model Based on Decomposition with RevIN. IJCNN 2024: 1-7- [c6]Yi Yu, Dongsheng Zou, YuMing Yang, Xinyi Song, Hao Wang, Bi Zhao:
Entity and Evidence Guided Attention for Document-Level Relation Extraction. IJCNN 2024: 1-8 - 2023
- [j7]Zhenling Peng
, Zixia Li, Qiaozhen Meng, Bi Zhao, Lukasz A. Kurgan:
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information. Briefings Bioinform. 24(1) (2023) - [j6]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, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan:
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023) - 2022
- [j5]Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li, Lukasz A. Kurgan:
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. Briefings Bioinform. 23(1) (2022) - 2021
- [j4]Akila Katuwawala, Bi Zhao, Lukasz A. Kurgan:
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning. Bioinform. 38(1): 115-124 (2021) - [j3]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, Yaoqi Zhou, Lukasz A. Kurgan:
DescribePROT: database of amino acid-level protein structure and function predictions. Nucleic Acids Res. 49(Database-Issue): D298-D308 (2021) - 2020
- [j2]Rui-Cheng Dai, Bi Zhao, Xiao-Di Zhang, Jun-Wei Yu, Bo Fan, Biao Liu:
Joint Virtual Energy Storage Modeling with Electric Vehicle Participation in Energy Local Area Smart Grid. Complex. 2020: 3102729:1-3102729:15 (2020)
2010 – 2019
- 2017
- [c5]Bi Zhao, Bin Xue:
Measuring the inter-sample heterogeneity by dynamic PCA biplot. BIBM 2017: 2333-2335 - 2015
- [b1]Bi Zhao:
Energy-efficient delay-tolerant cognitive radio networks. King's College London, UK, 2015 - 2013
- [j1]Bi Zhao, Vasilis Friderikos:
Increased Energy Efficiency via Delay-Tolerant Transmissions in Cognitive Radio Networks. Netw. Protoc. Algorithms 5(2): 31-49 (2013) - [c4]Bi Zhao, Vasilis Friderikos:
Extending recharging cycles of mobile devices with intelligent use of wireless interfaces. PIMRC 2013: 2213-2217 - [c3]Bi Zhao, Vasilis Friderikos:
Balancing Transmission and Storage Cost for Reducing Energy Consumption in Mobile Devices. VTC Spring 2013: 1-5 - 2012
- [c2]Bi Zhao, Vasilis Friderikos:
A queuing-based delay-tolerant scheme for energy efficiency over cognitive radio networks. GLOBECOM Workshops 2012: 326-330 - [c1]Bi Zhao, Vasilis Friderikos:
Optimal stopping for energy efficiency with delay constraints in Cognitive Radio networks. PIMRC 2012: 820-825
Coauthor Index
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