Novel Strategy for Three-Dimensional Fragment-Based Lead Discovery. - Haoliang Yuan; Tao Lu; Ting Ran; Haichun Liu; Shuai Lu; Wenting Tai; Ying Leng; Weiwei Zhang; Jian Wang; Yadong Chen 001 (J. Chem. Inf. Model., 2011)

Fragment-based strategy for structural optimization in combination with 3D-QSAR. - Haoliang Yuan; Wenting Tai; Shihe Hu; Haichun Liu; Yanmin Zhang; Sihui Yao; Ting Ran; Shuai Lu; Zhipeng Ke; Xiao Xiong; Jinxing Xu; Yadong Chen 001; et al. (J. Comput. Aided Mol. Des., 2013)

An Integrated Virtual Screening Approach for VEGFR-2 Inhibitors. - Yanmin Zhang; Shangyan Yang; Yu Jiao; Haichun Liu; Haoliang Yuan; Shuai Lu; Ting Ran; Sihui Yao; Zhipeng Ke; Jinxing Xu; Xiao Xiong; Yadong Chen 001; et al. (J. Chem. Inf. Model., 2013)

Predicting human mobility based on location data modeled by Markov chains. - Junjie Jiang; Changchun Pan; Haichun Liu; Genke Yang (UPINLBS, 2016)

Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams. - Lei Chu; Robert C. Qiu; Haichun Liu; Zenan Ling; Xin Shi (CoRR, 2017)

A Big Data Architecture Design for Smart Grids Based on Random Matrix Theory. - Xing He 002; Qian Ai; Robert Caiming Qiu; Wentao Huang; Longjian Piao; Haichun Liu (IEEE Trans. Smart Grid, 2017)

An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images. - Zenan Ling; Robert C. Qiu; Zhijian Jin; Yuhang Zhang 012; Xing He 002; Haichun Liu; Lei Chu (CoRR, 2018)

Investigation of Crystal Structures in Structure-Based Virtual Screening for Protein Kinase Inhibitors. - Xingye Chen; Haichun Liu; Wuchen Xie; Yan Yang; Yuchen Wang; Yuanrong Fan; Yi Hua; Lu Zhu; Junnan Zhao; Tao Lu; Yadong Chen 001; Yanmin Zhang (J. Chem. Inf. Model., 2019)

In Silico Prediction of Human Intravenous Pharmacokinetic Parameters with Improved Accuracy. - Yuchen Wang; Haichun Liu; Yuanrong Fan; Xingye Chen; Yan Yang; Lu Zhu; Junnan Zhao; Yadong Chen 001; Yanmin Zhang (J. Chem. Inf. Model., 2019)

An Attention-Based Deep Learning Method for Schizophrenia Patients Classification Using DNA Methylation Data. - Minmin Zhang; Changchun Pan; Haichun Liu; Qinting Zhang; Haozhe Li (EMBC, 2020)

Research on Digital Control of 400Hz Inverter. - Haichun Liu; Hong Cao; Yaning Zhao; Shaojun Xie (IECON, 2020)

Environment Classification for Global Navigation Satellite Systems Using Attention-Based Recurrent Neural Networks. - Haichun Liu; Minmin Zhang; Ling Pei; Wei Wang; Lanzhen Li; Changchun Pan; Zeya Li (SpatialDI, 2020)

Discovery of Dual FGFR4 and EGFR Inhibitors by Machine Learning and Biological Evaluation. - Xingye Chen; Wuchen Xie; Yan Yang; Yi Hua; Guomeng Xing; Li Liang; Chenglong Deng; Yuchen Wang; Yuanrong Fan; Haichun Liu; Tao Lu; Yadong Chen 001; et al. (J. Chem. Inf. Model., 2020)

In Silico Design and Analysis of a Kinase-Focused Combinatorial Library Considering Diversity and Quality. - Yan Yang; Yanmin Zhang; Yi Hua; Xingye Chen; Yuanrong Fan; Yuchen Wang; Li Liang; Chenglong Deng; Tao Lu; Yadong Chen 001; Haichun Liu (J. Chem. Inf. Model., 2020)

A Modified Convolutional Neural Network for Resting-State EEG-Based Schizophrenia Classification with Weighted Electrodes. - Danyang Ma; Genke Yang; Zeya Li; Haichun Liu; Changchun Pan; Lanzhen Li; Tianhong Zhang (J. Medical Imaging Health Informatics, 2020)

The Relationship between Youth's Mobile Phone Addiction and Achievement Motivation: the Mediating Effect of Mindfulness. - Guifang Fu; Ding Wu; Haichun Liu (CIPAE, 2021)

Attention-Based Self-Supervised Learning Monocular Depth Estimation With Edge Refinement. - Chenweinan Jiang; Haichun Liu; Lanzhen Li; Changchun Pan (ICIP, 2021)

Voltage Quality Improvement Method for 400Hz LCL-type Inverter. - Haichun Liu; Tao Fei; Pengzhao Wen; Shaojun Xie (ISEEIE, 2021)

KID: A Kinase-Focused Interaction Database and Its Application in the Construction of Kinase-Focused Molecule Databases. - Xiaowen Dai; Yuan Xu; Haodi Qiu; Xu Qian; Mingde Lin; Lin Luo; Yang Zhao 017; Dingfang Huang; Yanmin Zhang; Yadong Chen 001; Haichun Liu; Yulei Jiang (J. Chem. Inf. Model., 2022)

Effective Reaction-Based De Novo Strategy for Kinase Targets: A Case Study on MERTK Inhibitors. - Yi Hua; Xiaobao Fang; Guomeng Xing; Yuan Xu; Li Liang; Chenglong Deng; Xiaowen Dai; Haichun Liu; Tao Lu; Yanmin Zhang; Yadong Chen 001 (J. Chem. Inf. Model., 2022)

An Interpretable Multitask Framework BiLAT Enables Accurate Prediction of Cyclin-Dependent Protein Kinase Inhibitors. - Xu Qian; Xiaowen Dai; Lin Luo; Mingde Lin; Yuan Xu; Yang Zhao 017; Dingfang Huang; Haodi Qiu; Li Liang; Haichun Liu; Yingbo Liu; Lingxi Gu; et al. (J. Chem. Inf. Model., 2023)

Atypical Salient Regions Enhancement Network for visual saliency prediction of individuals with Autism Spectrum Disorder. - Huizhan Duan; Zhi Liu 003; Weijie Wei 001; Tianhong Zhang; Jijun Wang 003; Lihua Xu; Haichun Liu; Tao Chen (Signal Process. Image Commun., 2023)

RPBP: Deep Retrosynthesis Reaction Prediction Based on Byproducts. - Yingchao Yan; Yang Zhao 017; Huifeng Yao; Jie Feng; Li Liang; Weijie Han; Xiaohe Xu; Chengtao Pu; Chengdong Zang; Lingfeng Chen; Yuanyuan Li; Haichun Liu; et al. (J. Chem. Inf. Model., 2023)

CPIScore: A Deep Learning Approach for Rapid Scoring and Interpretation of Protein-Ligand Binding Interactions. - Li Liang; Yunxin Duan; Chen Zeng; Boheng Wan; Huifeng Yao; Haichun Liu; Tao Lu; Yanmin Zhang; Yadong Chen 001; Jun Shen (J. Chem. Inf. Model., 2024)

Prediction of Human Liver Microsome Clearance with Chirality-Focused Graph Neural Networks. - Chengtao Pu; Lingxi Gu; Yuxuan Hu; Weijie Han; Xiaohe Xu; Haichun Liu; Yadong Chen 001; Yanmin Zhang (J. Chem. Inf. Model., 2024)

Constructing Innovative Covalent and Noncovalent Compound Libraries: Insights from 3D Protein-Ligand Interactions. - Xiaohe Xu; Weijie Han; Xiangzhen Ning; Chengdong Zang; Chengcheng Xu 006; Chen Zeng; Chengtao Pu; Yanmin Zhang; Yadong Chen 001; Haichun Liu (J. Chem. Inf. Model., 2024)

CGPDTA: An Explainable Transfer Learning-Based Predictor With Molecule Substructure Graph for Drug-Target Binding Affinity. - Qing Fan; Yingxu Liu; Simeng Zhang; Xiangzhen Ning; Chengcheng Xu 006; Weijie Han; Yanmin Zhang; Yadong Chen 001; Jun Shen; Haichun Liu (J. Comput. Chem., 2025)

MTGNN: A Drug-Target-Disease Triplet Association Prediction Model Based on Multimodal Heterogeneous Graph Neural Networks and Direction-Aware Metapaths. - Lidan Zheng; Simeng Zhang; Yihao Li; Yang Liu; Qian Ge; Lingxi Gu; Yu Xie; Xiao Wang; Yunfei Ma; Junfei Liu; Mengyi Lu; Yadong Chen 001; et al. (J. Chem. Inf. Model., 2025)