An Improved Algorithm for Image Fractal Dimension. - Lihong Hu; Zifan Yu; Yanfang Liu (DBTA, 2009)

A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells. - Hong-Zhi Li; Ziyan Zhong; Lin Li 011; Rui Gao; Jingxia Cui; Ting Gao; Li Hong Hu; Yinghua Lu; Zhongmin Su; Hui Li 092 (J. Comput. Chem., 2015)

A machine learning correction for DFT non-covalent interactions based on the S22, S66 and X40 benchmark databases. - Ting Gao; Hong-Zhi Li; Wenze Li; Lin Li 011; Chao Fang; Hui Li 092; Li Hong Hu; Yinghua Lu; Zhongmin Su (J. Cheminformatics, 2016)

Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells. - Hui Li 092; Yanying Cui; Yunlong Liu; Wenze Li; Yue Shi; Chao Fang; Hongzhi Li; Ting Gao; Li Hong Hu; Yinghua Lu (IEEE Access, 2018)

Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data. - Ting Gao; Yaguang Hao; Haipeng Zhang; Lina Hu; Hongzhi Li; Hui Li 092; Li Hong Hu; Bing Han (Pers. Ubiquitous Comput., 2018)

AdaBoost Ensemble Correction Models for TDDFT Calculated Absorption Energies. - Jingxia Cui; Wenze Li; Chao Fang; Shunting Su; Jiaoyang Luan; Ting Gao; Li Hong Hu; Yinghua Lu; Guanhua Chen 004 (IEEE Access, 2019)

SPXYE: an improved method for partitioning training and validation sets. - Ting Gao; Lina Hu; Zhizhen Jia; Tianna Xia; Chao Fang; Hongzhi Li; Li Hong Hu; Yinghua Lu; Hui Li 092 (Clust. Comput., 2019)

Efficient Corrections for DFT Noncovalent Interactions Based on Ensemble Learning Models. - Wenze Li; Wei Miao; Jingxia Cui; Chao Fang; Shunting Su; Hongzhi Li; Li Hong Hu; Yinghua Lu; Guanhua Chen 004 (J. Chem. Inf. Model., 2019)

CT Image Analysis of Large Bone Flap Craniotomy for Severe Traumatic Brain Injury. - Lihong Hu; Bo Yin; Ning Yin; Aiping Tan (J. Medical Imaging Health Informatics, 2019)

Joint Wideband Spectrum and DOA Estimation with Compressed Sampling Based on L-Shaped Co-Prime Array. - Wanghan Lv; Lihong Hu; Weijun Zeng; Huali Wang; Zhangkai Luo (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Efficient prediction for high precision CO-N2 potential energy surface by stacking ensemble DNN. - Shanshan Xu; You Li; Donghan Wang; Chao Fang; Chengwei Luo; Jiankun Deng; LiHong Hu; Hui Li 007; Hongzhi Li (J. Comput. Chem., 2022)

DeepNCI: DFT Noncovalent Interaction Correction with Transferable Multimodal Three-Dimensional Convolutional Neural Networks. - Wenze Li; Donghan Wang; Zirui Yang; Huijie Zhang; Li Hong Hu; Guanhua Chen 004 (J. Chem. Inf. Model., 2022)

TFRegNCI: Interpretable Noncovalent Interaction Correction Multimodal Based on Transformer Encoder Fusion. - Donghan Wang; Wenze Li; Xu Dong; Hongzhi Li; Lihong Hu (J. Chem. Inf. Model., 2023)

GADIFF: a transferable graph attention diffusion model for generating molecular conformations. - Donghan Wang; Xu Dong; Xueyou Zhang; Lihong Hu (Briefings Bioinform., 2024)

Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach. - Shuai Wang; ChiYung Yam; Shuguang Chen; LiHong Hu; Liping Li; Faan-Fung Hung; Jiaqi Fan; Chi-Ming Che; Guanhua Chen 004 (J. Comput. Chem., 2024)

Multimodal zero-shot learning of previously unseen epitranscriptomes from RNA-seq data. - Yiyou Song; Bowen Song; Daiyun Huang; Anh Nguyen; Lihong Hu; Jia Meng 001; Yue Wang 060 (Briefings Bioinform., 2025)