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ORCIDQichang Zhao
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2020 – today
- 2024
[j12]Qichang Zhao
, Yiquan Wu, Yubin Yuan:
Ship Target Detection in Optical Remote Sensing Images Based on E2YOLOX-VFL. Remote. Sens. 16(2): 340 (2024)- [c5]Xuetao Wang, Qichang Zhao, Jianxin Wang:
FedKD-DTI: Drug-Target Interaction Prediction Based on Federated Knowledge Distillation. ISBRA (2) 2024: 95-106 - [c4]Wuguo Tang, Qichang Zhao, Jianxin Wang:
LLMDTA: Improving Cold-Start Prediction in Drug-Target Affinity with Biological LLM. ISBRA (2) 2024: 152-163 - [i1]Kai Zheng, Qilong Feng, Yaohang Li, Qichang Zhao, Jinhui Xu, Jianxin Wang:
TopoLa: a novel embedding framework for understanding complex networks. CoRR abs/2405.16928 (2024) - 2023
- [j11]Haochen Zhao, Xiaoyu Zhang, Qichang Zhao, Yaohang Li, Jianxin Wang:
MSDRP: a deep learning model based on multisource data for predicting drug response. Bioinform. 39(9) (2023) - [j10]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) - [j9]Qichang Zhao, Guihua Duan, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang:
AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 852-863 (2023) - [j8]Qichang Zhao, Guihua Duan, Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang:
GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1943-1952 (2023) - 2022
- [j7]Haochen Zhao, Shaokai Wang, Kai Zheng, Qichang Zhao, Feng Zhu, Jianxin Wang:
A similarity-based deep learning approach for determining the frequencies of drug side effects. Briefings Bioinform. 23(1) (2022) - [j6]Kai Zheng, Haochen Zhao, Qichang Zhao, Bin Wang, Xin Gao, Jianxin Wang:
NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks. Briefings Bioinform. 23(5) (2022) - [j5]Qichang Zhao, Haochen Zhao, Kai Zheng, Jianxin Wang:
HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanism. Bioinform. 38(3): 655-662 (2022) - [j4]Zhongjian Cheng, Qichang Zhao, Yaohang Li, Jianxin Wang:
IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism. Bioinform. 38(17): 4153-4161 (2022) - [j3]Jianhong Cheng, Hulin Kuang, Qichang Zhao, Yahui Wang, Lei Xu, Jin Liu, Jianxin Wang:
DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis. Future Gener. Comput. Syst. 135: 20-29 (2022) - [j2]Qichang Zhao, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang:
Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2092-2110 (2022) - [c3]Qichang Zhao, Lian Chen, Houmao Wang, Yefei Li, Yubin Yuan, Yiquan Wu:
Tracking of Aerial Cooperative Target by Satellite-Based Optical Cameras. IFTC 2022: 315-325 - 2021
- [j1]Mengyun Yang, Gaoyan Wu, Qichang Zhao, Yaohang Li, Jianxin Wang:
Computational drug repositioning based on multi-similarities bilinear matrix factorization. Briefings Bioinform. 22(4) (2021) - [c2]Jianhong Cheng, Qichang Zhao, Lei Xu, Jin Liu:
A New Deep Learning Training Scheme: Application to Biomedical Data. ISBRA 2021: 451-459
2010 – 2019
- 2019
- [c1]Qichang Zhao, Fen Xiao, Mengyun Yang, Yaohang Li, Jianxin Wang:
AttentionDTA: prediction of drug-target binding affinity using attention model. BIBM 2019: 64-69
Coauthor Index
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