Bi Zhao

17 papers A* 1B 4Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains.
AAAI
Kaiwen Wei, Rui Shan, Dongsheng Zou, Jianzhong Yang, Bi Zhao, Junnan Zhu, Jiang Zhong
2025 J jnl
MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains.
CoRR
Kaiwen Wei, Rui Shan, Dongsheng Zou, Jianzhong Yang, Bi Zhao, Junnan Zhu, Jiang Zhong
2024 B conf
Entity and Evidence Guided Attention for Document-Level Relation Extraction.
IJCNN
Yi Yu, Dongsheng Zou, Yuming Yang, Xinyi Song, Hao Wang, Bi Zhao
2024 B conf
RDLinear: A Novel Time Series Forecasting Model Based on Decomposition with RevIN.
IJCNN
Hao Wang, Dongsheng Zou, Bi Zhao, Yuming Yang, Jiyuan Liu, Naiquan Chai, Xinyi Song
2023 J jnl
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.
Nucleic Acids Res.
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
2023 J jnl
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information.
Briefings Bioinform.
Zhenling Peng, Zixia Li, Qiaozhen Meng, Bi Zhao, Lukasz A. Kurgan
2022 J jnl
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning.
Briefings Bioinform.
Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li, Lukasz A. Kurgan
2021 J jnl
DescribePROT: database of amino acid-level protein structure and function predictions.
Nucleic Acids Res.
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
2021 J jnl
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning.
Bioinform.
Akila Katuwawala, Bi Zhao, Lukasz A. Kurgan
2020 J jnl
Joint Virtual Energy Storage Modeling with Electric Vehicle Participation in Energy Local Area Smart Grid.
Complex.
Rui-Cheng Dai, Bi Zhao, Xiaodi Zhang, Jun-Wei Yu, Bo Fan, Biao Liu
2017 — conf
Measuring the inter-sample heterogeneity by dynamic PCA biplot.
BIBM
Bi Zhao, Bin Xue
2015 — —
Energy-efficient delay-tolerant cognitive radio networks.
Bi Zhao
2013 — conf
Balancing Transmission and Storage Cost for Reducing Energy Consumption in Mobile Devices.
VTC Spring
Bi Zhao, Vasilis Friderikos
2013 B conf
Extending recharging cycles of mobile devices with intelligent use of wireless interfaces.
PIMRC
Bi Zhao, Vasilis Friderikos
2013 J jnl
Increased Energy Efficiency via Delay-Tolerant Transmissions in Cognitive Radio Networks.
Netw. Protoc. Algorithms
Bi Zhao, Vasilis Friderikos
2012 — conf
A queuing-based delay-tolerant scheme for energy efficiency over cognitive radio networks.
GLOBECOM Workshops
Bi Zhao, Vasilis Friderikos
2012 B conf
Optimal stopping for energy efficiency with delay constraints in Cognitive Radio networks.
PIMRC
Bi Zhao, Vasilis Friderikos