KinomeX: a web application for predicting kinome-wide polypharmacology effect of small molecules. - Zhaojun Li; Xutong Li; Xiaohong Liu 002; Zunyun Fu; Zhaoping Xiong; Xiaolong Wu; Xiaoqin Tan; Jihui Zhao; Feisheng Zhong; Xiaozhe Wan; Xiaomin Luo; Kaixian Chen; et al. (Bioinform., 2019)

GW-DC: A Deep Clustering Model Leveraging Two-Dimensional Image Transformation and Enhancement. - Xutong Li; Taoying Li; Yan Wang (Algorithms, 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)

MolFilterGAN: a progressively augmented generative adversarial network for triaging AI-designed molecules. - Xiaohong Liu 002; Wei Zhang; Xiaochu Tong; Feisheng Zhong; Zhaojun Li; Zhaoping Xiong; Jiacheng Xiong; Xiaolong Wu; Zunyun Fu; Xiaoqin Tan; Zhiguo Liu; Sulin Zhang; et al. (J. Cheminformatics, 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)

Few-Shot KBQA Method Based on Multi-Task Learning. - Yuan Ren; Xutong Li; Xudong Liu 001; Richong Zhang (BigComp, 2024)

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)

TG468: a text graph convolutional network for predicting clinical response to immune checkpoint inhibitor therapy. - Kun Wang; Jiangshan Shi; Xiaochu Tong; Ning Qu; Xiangtai Kong; Shengkun Ni; Jing Xing; Xutong Li; Mingyue Zheng (Briefings Bioinform., 2024)

miCGR: interpretable deep neural network for predicting both site-level and gene-level functional targets of microRNA. - Xiaolong Wu; Lehan Zhang; Xiaochu Tong; Yitian Wang; Zimei Zhang; Xiangtai Kong; Shengkun Ni; Xiaomin Luo; Mingyue Zheng; Yun Tang 001; Xutong Li (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)

Generic protein-ligand interaction scoring by integrating physical prior knowledge and data augmentation modelling. - Duanhua Cao; Geng Chen; Jiaxin Jiang; Jie Yu; Runze Zhang; Mingan Chen; Wei Zhang; Lifan Chen; Feisheng Zhong; Yingying Zhang; Chenghao Lu; Xutong Li; et al. (Nat. Mac. Intell., 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)

An Effective Multi-Scale Framework for Driver Behavior Recognition With Incomplete Skeletons. - Taoying Li; Xutong Li; Bo Ren; Ge Guo 001 (IEEE Trans. Veh. Technol., 2024)

A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province. - Zhaoxu Zhang; Xutong Li; Yuchen Qiu; Zhenwei Shi; Zhongling Gao; Yanjun Jia (Remote. Sens., 2024)

Bilateral collaborative computing offloading via LEO satellites for remote network applications. - Shuang Xu; Xutong Li; Jiayu Zhang; Feng Li; Yuanyuan Liang; Shufeng Hao (Comput. Networks, 2025)