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Journal Articles
- 2024
[j14]Wenkai Xiang
, Feisheng Zhong, Lin Ni, Mingyue Zheng, Xutong Li, Qian Shi, Dingyan Wang:
Gram matrix: an efficient representation of molecular conformation and learning objective for molecular pretraining. Briefings Bioinform. 25(4) (2024)- [j13]Duanhua Cao, Geng Chen, Jiaxin Jiang, Jie Yu, Runze Zhang, Mingan Chen, Wei Zhang, Lifan Chen, Feisheng Zhong, Yingying Zhang, Chenghao Lu, Xutong Li, Xiaomin Luo, Sulin Zhang, Mingyue Zheng:
Generic protein-ligand interaction scoring by integrating physical prior knowledge and data augmentation modelling. Nat. Mac. Intell. 6(6): 688-700 (2024) - [j12]Zhehuan Fan, Jie Yu, Xiang Zhang, Yijie Chen, Shihui Sun, Yuanyuan Zhang, Mingan Chen, Fu Xiao, Wenyong Wu, Xutong Li, Mingyue Zheng, Xiaomin Luo, Dingyan Wang:
Reducing overconfident errors in molecular property classification using Posterior Network. Patterns 5(6): 100991 (2024) - [j11]Zhaoxu Zhang, Xutong Li, Yuchen Qiu, Zhenwei Shi, Zhongling Gao, Yanjun Jia:
A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province. Remote. Sens. 16(6): 963 (2024) - [j10]Taoying Li, Xutong Li, Bo Ren, Ge Guo:
An Effective Multi-Scale Framework for Driver Behavior Recognition With Incomplete Skeletons. IEEE Trans. Veh. Technol. 73(1): 295-309 (2024) - 2023
- [j9]Xiaohong Liu, Wei Zhang, Xiaochu Tong, Feisheng Zhong, Zhaojun Li, Zhaoping Xiong, Jiacheng Xiong, Xiaolong Wu, Zunyun Fu, Xiaoqin Tan, Zhiguo Liu, Sulin Zhang, Hualiang Jiang, Xutong Li, Mingyue Zheng:
MolFilterGAN: a progressively augmented generative adversarial network for triaging AI-designed molecules. J. Cheminformatics 15(1): 42 (2023) - [j8]Zimei Zhang, Gang Wang, Rui Li, Lin Ni, Runze Zhang, Kaiyang Cheng, Qun Ren, Xiangtai Kong, Shengkun Ni, Xiaochu Tong, Li Luo, Dingyan Wang, Xiaojie Lu, Mingyue Zheng, Xutong Li:
Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation. J. Cheminformatics 15(1): 57 (2023) - [j7]Yitian Wang, Jiacheng Xiong, Fu Xiao, Wei Zhang, Kaiyang Cheng, Jingxin Rao, Buying Niu, Xiaochu Tong, Ning Qu, Runze Zhang, Dingyan Wang, Kaixian Chen, Xutong Li, Mingyue Zheng:
LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP. J. Cheminformatics 15(1): 76 (2023) - [j6]Jie Yu, Zhaojun Li, Geng Chen, Xiangtai Kong, Jie Hu, Dingyan Wang, Duanhua Cao, Yanbei Li, Ruifeng Huo, Gang Wang, Xiaohong Liu, Hualiang Jiang, Xutong Li, Xiaomin Luo, Mingyue Zheng:
Computing the relative binding affinity of ligands based on a pairwise binding comparison network. Nat. Comput. Sci. 3(10): 860-872 (2023) - 2022
- [j5]Xiaozhe Wan, Xiaolong Wu, Dingyan Wang, Xiaoqin Tan, Xiaohong Liu, Zunyun Fu, Hualiang Jiang, Mingyue Zheng, Xutong Li:
An inductive graph neural network model for compound-protein interaction prediction based on a homogeneous graph. Briefings Bioinform. 23(3) (2022) - [j4]Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu, Junzhou Huang, Hualiang Jiang, Mingyue Zheng, Xutong Li:
Blood-brain barrier penetration prediction enhanced by uncertainty estimation. J. Cheminformatics 14(1): 44 (2022) - 2021
- [j3]Xutong Li, Taoying Li, Yan Wang:
GW-DC: A Deep Clustering Model Leveraging Two-Dimensional Image Transformation and Enhancement. Algorithms 14(12): 349 (2021) - [j2]Dingyan Wang, Jie Yu, Lifan Chen, Xutong Li, Hualiang Jiang, Kaixian Chen, Mingyue Zheng, Xiaomin Luo:
A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling. J. Cheminformatics 13(1): 69 (2021) - 2019
- [j1]Zhaojun Li, Xutong Li, Xiaohong Liu, Zunyun Fu, Zhaoping Xiong, Xiaolong Wu, Xiaoqin Tan, Jihui Zhao, Feisheng Zhong, Xiaozhe Wan, Xiaomin Luo, Kaixian Chen, Hualiang Jiang, Mingyue Zheng:
KinomeX: a web application for predicting kinome-wide polypharmacology effect of small molecules. Bioinform. 35(24): 5354-5356 (2019)
Conference and Workshop Papers
- 2024
- [c1]Yuan Ren, Xutong Li, Xudong Liu, Richong Zhang:
Few-Shot KBQA Method Based on Multi-Task Learning. BigComp 2024: 226-233
Coauthor Index
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