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Published in Nature communications (26.03.2024)
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Zhu, Sha, Bai, Qifeng, Li, Lanqing, Xu, Tingyang
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Published in Computational and structural biotechnology journal (01.01.2022)
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Published in Journal of cheminformatics (07.07.2022)
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Published in Computational and structural biotechnology journal (01.01.2021)
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A Novel Scalarized Scaffold Hopping Algorithm with Graph-Based Variational Autoencoder for Discovery of JAK1 Inhibitors
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Published in ACS omega (07.09.2021)
Published in ACS omega (07.09.2021)
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An Effective Tensor Regression with Latent Sparse Regularization
Chen, Ko-shin, Xu, Tingyang, Liang, Guannan, Tong, Qianqian, Song, Minghu, Bi, Jinbo
Published in Journal of Data Science (01.04.2022)
Published in Journal of Data Science (01.04.2022)
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MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm
Bai, Qifeng, Tan, Shuoyan, Xu, Tingyang, Liu, Huanxiang, Huang, Junzhou, Yao, Xiaojun
Published in Briefings in Bioinformatics (20.05.2021)
Published in Briefings in Bioinformatics (20.05.2021)
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Progressive Feature Alignment for Unsupervised Domain Adaptation
Chen, Chaoqi, Xie, Weiping, Huang, Wenbing, Rong, Yu, Ding, Xinghao, Huang, Yue, Xu, Tingyang, Huang, Junzhou
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2019)
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01.06.2019)
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Structure-aware conditional variational auto-encoder for constrained molecule optimization
Yu, Junchi, Xu, Tingyang, Rong, Yu, Huang, Junzhou, He, Ran
Published in Pattern recognition (01.06.2022)
Published in Pattern recognition (01.06.2022)
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Generative Models for De Novo Drug Design
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Published in Journal of medicinal chemistry (14.10.2021)
Published in Journal of medicinal chemistry (14.10.2021)
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Recognizing Predictive Substructures With Subgraph Information Bottleneck
Yu, Junchi, Xu, Tingyang, Rong, Yu, Bian, Yatao, Huang, Junzhou, He, Ran
Published in IEEE transactions on pattern analysis and machine intelligence (01.03.2024)
Published in IEEE transactions on pattern analysis and machine intelligence (01.03.2024)
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Cross-dependent graph neural networks for molecular property prediction
Ma, Hehuan, Bian, Yatao, Rong, Yu, Huang, Wenbing, Xu, Tingyang, Xie, Weiyang, Ye, Geyan, Huang, Junzhou
Published in Bioinformatics (28.03.2022)
Published in Bioinformatics (28.03.2022)
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Development and Validation of an Image-based Deep Learning Algorithm for Detection of Synchronous Peritoneal Carcinomatosis in Colorectal Cancer
Yuan, Zixu, Xu, Tingyang, Cai, Jian, Zhao, Yebiao, Cao, Wuteng, Fichera, Alessandro, Liu, Xiaoxia, Yao, Jianhua, Wang, Hui
Published in Annals of surgery (01.04.2022)
Published in Annals of surgery (01.04.2022)
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Molecular graph enhanced transformer for retrosynthesis prediction
Mao, Kelong, Xiao, Xi, Xu, Tingyang, Rong, Yu, Huang, Junzhou, Zhao, Peilin
Published in Neurocomputing (Amsterdam) (07.10.2021)
Published in Neurocomputing (Amsterdam) (07.10.2021)
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Structure-Aware DropEdge Toward Deep Graph Convolutional Networks
Han, Jiaqi, Huang, Wenbing, Rong, Yu, Xu, Tingyang, Sun, Fuchun, Huang, Junzhou
Published in IEEE transaction on neural networks and learning systems (01.11.2024)
Published in IEEE transaction on neural networks and learning systems (01.11.2024)
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Geometric deep learning methods and applications in 3D structure-based drug design
Bai, Qifeng, Xu, Tingyang, Huang, Junzhou, Pérez-Sánchez, Horacio
Published in Drug discovery today (01.07.2024)
Published in Drug discovery today (01.07.2024)
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Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug-drug links based on graph neural network
Cui, Chen, Ding, Xiaoyu, Wang, Dingyan, Chen, Lifan, Xiao, Fu, Xu, Tingyang, Zheng, Mingyue, Luo, Xiaomin, Jiang, Hualiang, Chen, Kaixian
Published in Bioinformatics (Oxford, England) (29.09.2021)
Published in Bioinformatics (Oxford, England) (29.09.2021)
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Towards Complete-View and High-Level Pose-based Gait Recognition
Pan, Honghu, Chen, Yongyong, Xu, Tingyang, He, Yunqi, He, Zhenyu
Published in IEEE transactions on information forensics and security (07.03.2023)
Published in IEEE transactions on information forensics and security (07.03.2023)
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Multi-instance learning of graph neural networks for aqueous pKa prediction
Xiong, Jiacheng, Li, Zhaojun, Wang, Guangchao, Fu, Zunyun, Zhong, Feisheng, Xu, Tingyang, Liu, Xiaomeng, Huang, Ziming, Liu, Xiaohong, Chen, Kaixian, Jiang, Hualiang, Zheng, Mingyue
Published in Bioinformatics (Oxford, England) (01.02.2022)
Published in Bioinformatics (Oxford, England) (01.02.2022)
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