Hongjie Wu

发表

A Sarsa-based adaptive controller for building energy conservation

Wen Hu, Jianping Chen, Qiming Fu, 2018, J. Comput. Methods Sci. Eng..

Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter

Jing Qiu, Hongjie Wu, Weizhong Lu, 2019, BMC Bioinformatics.

Identify High-Quality Protein Structural Models by Enhanced K-Means

Chuang Wu, Haiou Li, Hongjie Wu, 2017, BioMed research international.

Deep Conditional Random Field Approach to Transmembrane Topology Prediction and Application to GPCR Three-Dimensional Structure Modeling

Yu Xue, Min Jiang, Kun Wang, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Plant Leaf Recognition Network Based on Feature Learning and Metric Learning

Di Wu, Zhong-Qiu Zhao, Hongjie Wu, 2020, ICIC.

Random Occlusion Recovery with Noise Channel for Person Re-identification

Kun Zhang, Di Wu, Hanli Wang, 2020, ICIC.

DNA-binding protein prediction based on deep transfer learning.

Hongjie Wu, Haiou Li, Yijie Ding, 2022, Mathematical biosciences and engineering : MBE.

gnizing Disease-Associated Bayes-Guided Neural-uilt on Low-Resolution tion of Proteins and Interactions

Yang Zhang, Hongjie Wu, Lijun Quan, 2019 .

一种基于生成对抗网络的强化学习算法 (Reinforcement Learning Algorithm Based on Generative Adversarial Networks)

Jianping Chen, Quan Liu, Feng Zou, 2019, 计算机科学.

Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion

Hongjie Wu, Haiou Li, Yijie Ding, 2022, Computational and mathematical methods in medicine.

Function Prediction for G Protein-Coupled Receptors through Text Mining and Induction Matrix Completion

Xiaoyan Ke, Yang Zhang, Qin Yin, 2019, ACS omega.

DAMpred: Recognizing Disease-Associated nsSNPs through Bayes-Guided Neural-Network Model Built on Low-Resolution Structure Prediction of Proteins and Protein-Protein Interactions.

Hongjie Wu, Qiang Lyu, Yang Zhang, 2019, Journal of molecular biology.

patGPCR: A Multitemplate Approach for Improving 3D Structure Prediction of Transmembrane Helices of G-Protein-Coupled Receptors

Qiang Lv, Hongjie Wu, Peide Qian, 2013, Comput. Math. Methods Medicine.

Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw DNA Sequence, Evolutionary Information and Epigenomic Data

Hongjie Wu, Chang-an Yuan, Qinghu Zhang, 2021, ICIC.

Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network

Xiao Qin, Hongjie Wu, Changan Yuan, 2020, ICIC.

A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites

Siguo Wang, Xiao Qin, Hongjie Wu, 2020, ICIC.

Probing the functions of long non-coding RNAs by exploiting the topology of global association and interaction network

Lei Deng, Jingpu Zhang, Hongjie Wu, 2018, Comput. Biol. Chem..

Klebsiella pneumonia and Its Antibiotic Resistance: A Bibliometric Analysis

Hongjie Wu, S Kumar, Lihu Zhang, 2022, BioMed research international.

MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description

Jijun Tang, Fei Guo, Li Peng, 2020, Current Bioinformatics.

Use Chou's 5-Step Rule to Predict DNA-Binding Proteins with Evolutionary Information

Yan Cao, Yu Zhang, Haiou Li, 2020, BioMed research international.

Prediction of Membrane Protein Interaction Based on Deep Residual Learning

Qiming Fu, Weizhong Lu, Hongjie Wu, 2020, ICIC.

SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model

Hongjie Wu, Lijun Quan, Yikang Zhang, 2022, Genes.

Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors

Qiming Fu, Haiou Li, Yijie Ding, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

β-Barrel Transmembrane Protein Predicting Using Support Vector Machine

Cheng Chen, Hongjie Wu, Kaihui Bian, 2017, ICIC.

Improved packing of protein side chains with parallel ant colonies

Qiang Lv, Haiou Li, Hongjie Wu, 2014, BMC Bioinformatics.

G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning

Qiming Fu, Hongjie Wu, Haiou Li, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

RNA Secondary Structure Prediction Based on Long Short-Term Memory Model

Cheng Chen, Hongmei Huang, Qiming Fu, 2018, ICIC.

Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs

Qiming Fu, Weizhong Lu, Hongjie Wu, 2019, ICIC.

Identification of DNA-Binding Proteins by Multiple Kernel Support Vector Machine and Sequence Information

Xiaoyi Guo, Jijun Tang, Feng Chen, 2020 .

DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion

Haiou Li, Hongjie Wu, Tengsheng Jiang, 2021, ICIC.

Characteristics of antibiotic resistance mechanisms and genes of Klebsiella pneumoniae

Hongjie Wu, S Kumar, Lihu Zhang, 2023, Open medicine.

Membrane Protein Identification via Multiple Kernel Fuzzy SVM

Hongjie Wu, Yijie Ding, Weizhong Lu, 2021, ICIC.

MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins

Hongjie Wu, Yijie Ding, Min Jiang, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Research on RNA secondary structure predicting via bidirectional recurrent neural network

Haiou Li, Hongjie Wu, Yu Zhang, 2021, BMC Bioinformatics.

Identification of DNA-binding protein based multiple kernel model.

Hongjie Wu, Yijie Ding, Fei Guo, 2023, Mathematical biosciences and engineering : MBE.

Application of DNA-Binding Protein Prediction Based on Graph Convolutional Network and Contact Map

Qiming Fu, Hongjie Wu, Haiou Li, 2022, BioMed research international.

Identification of DNA-binding proteins via Hypergraph based Laplacian Support Vector Machine

Hongjie Wu, Yuqing Qian, Yijie Ding, 2021, Current Bioinformatics.

A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information

Hongmei Huang, Weizhong Lu, Yijie Ding, 2019, ICIC.

coREF: A COMBINED REFINEMENT APPROACH FOR GPCRs BACKBONE FLEXIBILITY

Lingyun Yang, Hongjie Wu, Peide Qian, 2013 .

Protein-DNA Binding Residues Prediction Using a Deep Learning Model with Hierarchical Feature Extraction.

Q. Zou, Hongjie Wu, Yijie Ding, 2022, IEEE/ACM transactions on computational biology and bioinformatics.

Unified Deep Learning Architecture for Modeling Biology Sequence

Hongjie Wu, Xiaoyan Xia, Chengyuan Cao, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Automatic prediction of flexible regions improves the accuracy of protein-protein docking models

Lingyun Yang, Xu Huang, Hongjie Wu, 2012, Journal of Molecular Modeling.

License Plate Detection and Recognition Technology for Complex Real Scenarios

Fei Wang, Lijun Zhang, Hongjie Wu, 2020, ICIC.

Single Trajectory Learning: Exploration Versus Exploitation

Jianping Chen, Quan Liu, Qiming Fu, 2017, Int. J. Pattern Recognit. Artif. Intell..

Optimizing GPCR Two-Dimensional Topology from Contact Map

Qiming Fu, Weizhong Lu, Ru Yang, 2018, ICIC.

Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks

Hongjie Wu, Tingfang Wu, Lijun Quan, 2023, J. Chem. Inf. Model..

A Parallel Multiple K-Means Clustering and Application on Detect Near Native Model

Min Jiang, Chuang Wu, Hongjie Wu, 2016, ICIC.

A parallel ant colonies approach to de novo prediction of protein backbone in CASP8/9

Hongjie Wu, Q. Lv, Peide Qian, 2013, Science China Information Sciences.

CRF-TM: A Conditional Random Field Method for Predicting Transmembrane Topology

Min Jiang, Kun Wang, Baochuan Fu, 2015, IScIDE.

Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification

Siguo Wang, Xiao Qin, Hongjie Wu, 2020, ICIC.

HVAC Optimal Control with the Multistep-Actor Critic Algorithm in Large Action Spaces

Jianping Chen, Qiming Fu, You Lu, 2020, Mathematical Problems in Engineering.

A Building Energy Consumption Prediction Method Based on Integration of a Deep Neural Network and Transfer Reinforcement Learning

Baochuan Fu, Qiming Fu, QingSong Liu, 2020, Int. J. Pattern Recognit. Artif. Intell..