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Xuehua Bi
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2020 – today
- 2024
- [j5]Guanglei Yu, Qichang Zhao, Xuehua Bi, Jianxin Wang:
DDAffinity: predicting the changes in binding affinity of multiple point mutations using protein 3D structure. Bioinform. 40(Supplement_1): i418-i427 (2024) - [c7]Xiaoman Zhang, Linlin Zhang, Xuehua Bi, Guanglei Yu, Ruyi Cao, Yang Chen:
TKMBR: Temporal Knowledge Graph-based Multi-Behavior Recommendation. IJCNN 2024: 1-8 - [c6]Guangzhen Liu, Kai Zhao, Linlin Zhang, Xuehua Bi, Xiaoyi Lv, Cheng Chen:
A Survey of Zero-Shot Stance Detection. NLPCC (5) 2024: 107-120 - [c5]Linlin Zhang, Congjie Lin, Zhangshuai Bie, Shuo Li, Xuehua Bi, Kai Zhao:
Client Selection Mechanism for Federated Learning Based on Class Imbalance. PRCV (1) 2024: 266-278 - [c4]Zhiwei Wang, Linlin Zhang, Kai Zhao, Maihemuti Maimaiti, Xuehua Bi, Haoxuan Fan:
EBSD: Short Text Sentiment Classification Using Sentence Vector Enhancement Mechanism. PRCV (3) 2024: 335-349 - 2023
- [j4]Xuehua Bi, Weiyang Liang, Qichang Zhao, Jianxin Wang:
SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology data. Bioinform. 39(11) (2023) - [j3]Linlin Zhang, Dianrong Lu, Xuehua Bi, Kai Zhao, Guanglei Yu, Na Quan:
Predicting disease genes based on multi-head attention fusion. BMC Bioinform. 24(1): 162 (2023) - [c3]Xuehua Bi, Chunyang Jiang, Cheng Yan, Kai Zhao, Linlin Zhang, Jianxin Wang:
Identifying miRNA-Disease Associations Based on Simple Graph Convolution with DropMessage and Jumping Knowledge. ISBRA 2023: 45-57 - [c2]Kai Zhao, Weiyang Liang, Xuehua Bi, Guanglei Yu, Na Quan, Linlin Zhang:
Enhancing Protein Subcellular Localization Prediction Through Multi-Feature Fusion. SMC 2023: 261-267 - 2022
- [j2]Guanglei Yu, Linlin Zhang, Ying Zhang, Jiaqi Zhou, Tao Zhang, Xuehua Bi:
Prediction and risk stratification from hospital discharge records based on Hierarchical sLDA. BMC Medical Informatics Decis. Mak. 22(1): 14 (2022) - [c1]Linlin Zhang, Xinyao Li, Xuehua Bi, Ying Zhang, Guanglei Yu, Kai Zhao:
A Novel Patient Similarity Prediction Model Based on Semisupervised Learning. CAIBDA 2022: 1-9
2010 – 2019
- 2018
- [j1]Minzi Cao, Linlin Zhang, Xuehua Bi, Kai Zhao:
个性化(α, l)-多样性k-匿名隐私保护模型 (Personalized (α, l)-diversity k-anonymity Model for Privacy Preservation). 计算机科学 45(11): 180-186 (2018)
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last updated on 2025-01-13 02:05 CET by the dblp team
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