An Enhanced Semi-supervised Recommendation Model Based on Green's Function. - Dingyan Wang; Irwin King (ICONIP (1), 2010)

Exploit of online social networks with Semi-Supervised Learning. - Mingzhen Mo; Dingyan Wang; Baichuan Li; Dan Hong; Irwin King (IJCNN, 2010)

TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments. - Lifan Chen; Xiaoqin Tan; Dingyan Wang; Feisheng Zhong; Xiaohong Liu 002; Tianbiao Yang; Xiaomin Luo; Kaixian Chen; Hualiang Jiang; Mingyue Zheng; Arne Elofsson (Bioinform., 2020)

Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug-drug links based on graph neural network. - Chen Cui; Xiaoyu Ding; Dingyan Wang; Lifan Chen; Fu Xiao; Tingyang Xu; Mingyue Zheng; Xiaomin Luo; Hualiang Jiang; Kaixian Chen (Bioinform., 2021)

A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling. - Dingyan Wang; Jie Yu; Lifan Chen; Xutong Li; Hualiang Jiang; Kaixian Chen; Mingyue Zheng; Xiaomin Luo (J. Cheminformatics, 2021)

An inductive graph neural network model for compound-protein interaction prediction based on a homogeneous graph. - Xiaozhe Wan; Xiaolong Wu; Dingyan Wang; Xiaoqin Tan; Xiaohong Liu 002; Zunyun Fu; Hualiang Jiang; Mingyue Zheng; Xutong Li (Briefings Bioinform., 2022)

Blood-brain barrier penetration prediction enhanced by uncertainty estimation. - Xiaochu Tong; Dingyan Wang; Xiaoyu Ding; Xiaoqin Tan; Qun Ren; Geng Chen; Yu Rong 001; Tingyang Xu; Junzhou Huang; Hualiang Jiang; Mingyue Zheng; Xutong Li (J. Cheminformatics, 2022)

Computing the relative binding affinity of ligands based on a pairwise binding comparison network. - Jie Yu; Zhaojun Li; Geng Chen; Xiangtai Kong; Jie Hu; Dingyan Wang; Duanhua Cao; Yanbei Li; Ruifeng Huo; Gang Wang; Xiaohong Liu 002; Hualiang Jiang; et al. (Nat. Comput. Sci., 2023)

LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP. - Yitian Wang; Jiacheng Xiong; Fu Xiao; Wei Zhang; Kaiyang Cheng; Jingxin Rao; Buying Niu; Xiaochu Tong; Ning Qu; Runze Zhang; Dingyan Wang; Kaixian Chen; et al. (J. Cheminformatics, 2023)

Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation. - Zimei Zhang; Gang Wang; Rui Li; Lin Ni; Runze Zhang; Kaiyang Cheng; Qun Ren; Xiangtai Kong; Shengkun Ni; Xiaochu Tong; Li Luo; Dingyan Wang; et al. (J. Cheminformatics, 2023)

KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling. - Qun Ren; Ning Qu; Jingjing Sun; Jingyi Zhou; Jin Liu; Lin Ni; Xiaochu Tong; Zimei Zhang; Xiangtai Kong; Yiming Wen; Yitian Wang; Dingyan Wang; et al. (Briefings Bioinform., 2024)

Gram matrix: an efficient representation of molecular conformation and learning objective for molecular pretraining. - Wenkai Xiang; Feisheng Zhong; Lin Ni; Mingyue Zheng; Xutong Li; Qian Shi 005; Dingyan Wang (Briefings Bioinform., 2024)

Reducing overconfident errors in molecular property classification using Posterior Network. - Zhehuan Fan; Jie Yu; Xiang Zhang; Yijie Chen; Shihui Sun; Yuanyuan Zhang; Mingan Chen; Fu Xiao; Wenyong Wu; Xutong Li; Mingyue Zheng; Xiaomin Luo; et al. (Patterns, 2024)

Application of ensemble learning for predicting GABAA receptor agonists. - Fu Xiao; Xiaoyu Ding; Yan Shi; Dingyan Wang; Yitian Wang; Chen Cui; Tingfei Zhu; Kaixian Chen; Ping Xiang; Xiaomin Luo (Comput. Biol. Medicine, 2024)