Hongjie Wu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 82

Top Topics

Subspace Clustering

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Hongjie Wu, Linchao He, Mingqin Zhang, Dongdong Chen, Kunming Luo, Mengting Luo, Jizhe Zhou, Hu Chen, Jiancheng Lv
Diffusion Posterior Proximal Sampling for Image Restoration. CoRR (2024)
Man Xu, Yuxuan Luo, Junhao Jiang, Zhiming Cui, Hongjie Wu
Protein Manufacture: Protein Design Assisted by Machine Learning from Backbone to Sequence. ICIC (LNBI 2) (2024)
Shichang Li, Hongjie Wu, Chenwei Tang, Dongdong Chen, Yueyue Chen, Ling Mei, Fan Yang, Jiancheng Lv
Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection. Pattern Recognit. Lett. 185 (2024)
Junkai Liu, Shixuan Guan, Quan Zou, Hongjie Wu, Prayag Tiwari, Yijie Ding
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction. Knowl. Based Syst. 284 (2024)
Chuangchuang Tian, Luping Wang, Zhiming Cui, Hongjie Wu
GTAMP-DTA: Graph transformer combined with attention mechanism for drug-target binding affinity prediction. Comput. Biol. Chem. 108 (2024)
Junkai Liu, Fuyuan Hu, Quan Zou, Prayag Tiwari, Hongjie Wu, Yijie Ding
Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy. Inf. Fusion 112 (2024)
Yi Qiu, Long Cheng, Man Xu, Jing Chen, Hongjie Wu
Feature Extraction Approach for Predicting Protein-DNA Binding Residues Using Transformer Encoder-Decoder Architecture. ICIC (LNBI 1) (2024)
Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. Neural Networks 169 (2024)
Junkai Wang, Lijun Quan, Zhi Jin, Hongjie Wu, Xuhao Ma, Xuejiao Wang, Jingxin Xie, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks. J. Chem. Inf. Model. 63 (7) (2023)
Runhua Zhang, Baozhong Zhu, Tengsheng Jiang, Zhiming Cui, Hongjie Wu
Deep Learning-Based Prediction of Drug-Target Binding Affinities by Incorporating Local Structure of Protein. ICIC (3) (2023)
Shixuan Guan, Quan Zou, Hongjie Wu, Yijie Ding
Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Baozhong Zhu, Runhua Zhang, Tengsheng Jiang, Zhiming Cui, Hongjie Wu
Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model. ICIC (3) (2023)
Shixuan Guan, Yuqing Qian, Tengsheng Jiang, Min Jiang, Yijie Ding, Hongjie Wu
MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Xueyang Zhou, Qiming Fu, Jianping Chen, Lanhui Liu, Yunzhe Wang, You Lu, Hongjie Wu
Extracting biomedical relation from cross-sentence text using syntactic dependency graph attention network. J. Biomed. Informatics 144 (2023)
Chen Yan, Luping Wang, Hongjie Wu, Fuyuan Hu, Jing Chen, Weizhong Lu
Attribute-Based Searchable Encryption Scheme in Smart Healthcare Blockchain. ICDM (Workshops) (2023)
Yixi Liu, Yuze Tan, Hongjie Wu, Shudong Huang, Yazhou Ren, Jiancheng Lv
Preserving Local and Global Information: An Effective Metric-based Subspace Clustering. ACM Multimedia (2023)
Yongsan Liu, Shixuan Guan, Tengsheng Jiang, Qiming Fu, Jieming Ma, Zhiming Cui, Yijie Ding, Hongjie Wu
DNA protein binding recognition based on lifelong learning. Comput. Biol. Medicine 164 (2023)
Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang
Metric Multi-View Graph Clustering. AAAI (2023)
Wen Yang, Hongjie Wu, Chenwei Tang, Jiancheng Lv
ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection. IJCNN (2023)
Hongjie Wu, Shudong Huang, Chenwei Tang, Yancheng Zhang, Jiancheng Lv
Pure graph-guided multi-view subspace clustering. Pattern Recognit. 136 (2023)
Zhechao Wang, Qiming Fu, Jianping Chen, Yunzhe Wang, You Lu, Hongjie Wu
Reinforcement Learning in Few-Shot Scenarios: A Survey. J. Grid Comput. 21 (2) (2023)
Haipeng Zhao, Baozhong Zhu, Tengsheng Jiang, Zhiming Cui, Hongjie Wu
A Transformer-Based Deep Learning Approach with Multi-layer Feature Processing for Accurate Prediction of Protein-DNA Binding Residues. ICIC (3) (2023)
Jingxin Xie, Lijun Quan, Xuejiao Wang, Hongjie Wu, Zhi Jin, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu
DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features. J. Chem. Inf. Model. 63 (22) (2023)
Hamdan Taleb, Zhipeng Li, Chang-an Yuan, Hongjie Wu, Xingming Zhao, Fahd A. Ghanem
An Effective Method for Yemeni License Plate Recognition Based on Deep Neural Networks. ICIC (3) (2022)
Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan
SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model. CoRR (2022)
Junkai Liu, Tengsheng Jiang, Yaoyao Lu, Hongjie Wu
Drug-Target Interaction Prediction Based on Transformer. ICIC (2) (2022)
Yaoyao Lu, Junkai Liu, Tengsheng Jiang, Shixuan Guan, Hongjie Wu
Protein-Ligand Binding Affinity Prediction Based on Deep Learning. ICIC (2) (2022)
Zhongtian Hu, Jun Yan, Yuli Wang, Changsong Yang, Qiming Fu, Weizhong Lu, Hongjie Wu
Study on Path Planning of Multi-storey Parking Lot Based on Combined Loss Function. ICIC (3) (2022)
Youhong Xu, Changan Yuan, Hongjie Wu, Xingming Zhao
Using Deep Learning to Predict Transcription Factor Binding Sites Based on Multiple-omics Data. ICIC (1) (2022)
Xianbao Tan, Chang-an Yuan, Hongjie Wu, Xingming Zhao
Comprehensive Evaluation of BERT Model for DNA-Language for Prediction of DNA Sequence Binding Specificities in Fine-Tuning Phase. ICIC (2) (2022)
Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv
Multi-view Subspace Clustering on Topological Manifold. NeurIPS (2022)
Quanyi Pu, Changan Yuan, Hongjie Wu, Xingming Zhao
Local Feature for Visible-Thermal PReID Based on Transformer. ICIC (1) (2022)
Tengsheng Jiang, Yuhui Chen, Shixuan Guan, Zhongtian Hu, Weizhong Lu, Qiming Fu, Yijie Ding, Haiou Li, Hongjie Wu
G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Peng Lei, Chang-an Yuan, Hongjie Wu, Xingming Zhao
Drug-Target Interaction Prediction Based on Graph Neural Network and Recommendation System. ICIC (2) (2022)
Zhengkai Ding, Qiming Fu, Jianping Chen, Hongjie Wu, You Lu, Fuyuan Hu
Multi-zone Residential HVAC Control with Satisfying Occupants' Thermal Comfort Requirements and Saving Energy via Reinforcement Learning. PDCAT (2021)
Haiming Liu, Shixuan Guan, Weizhong Lu, Haiou Li, Hongjie Wu
Flower growth status recognition method based on feature fusion convolutional neural network. J. Comput. Methods Sci. Eng. 21 (6) (2021)
Weizhong Lu, Xiaoyi Chen, Yu Zhang, Hongjie Wu, Jiawei Shen, Nan Zhou, Yijie Ding
Research on RNA Secondary Structure Prediction Based on MLP. ICIC (3) (2021)
Hongjie Wu, Jiancheng Lv, Jian Wang
Automatic Cataract Detection with Multi-Task Learning. IJCNN (2021)
Shoujian Yu, Hongjie Wu, Jianyun Xie, Xiaoling Xia
Depth Factor Decomposition Machine Based on Multi-kernel Convolutional Neural Network for Click-Through Rate Prediction. BDE (2021)
Weizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding, Xiaoyi Chen
Membrane Protein Identification via Multiple Kernel Fuzzy SVM. ICIC (3) (2021)
Jun Yan, Yuli Wang, Haiou Li, Weizhong Lu, Hongjie Wu
Super-Large Medical Image Storage and Display Technology Based on Concentrated Points of Interest. ICIC (1) (2021)
Si-Zhe Wan, Changan Yuan, Xiao Qin, Hongjie Wu
Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification. ICIC (1) (2021)
Weizhong Lu, Yan Cao, Hongjie Wu, Yijie Ding, Zhengwei Song, Yu Zhang, Qiming Fu, Haiou Li
Research on RNA secondary structure predicting via bidirectional recurrent neural network. BMC Bioinform. (3) (2021)
Shixuan Guan, Tengsheng Jiang, Weizhong Lu, Qiming Fu, Haiou Li, Hongjie Wu
DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion. ICIC (3) (2021)
Wenhui Liu, Changan Yuan, Xiao Qin, Hongjie Wu
Plant Leaf Recognition Network Based on Fine-Grained Visual Classification. ICIC (1) (2021)
Youhong Xu, Qinghu Zhang, Zhanheng Chen, Chang-an Yuan, Xiao Qin, Hongjie Wu
Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw DNA Sequence, Evolutionary Information and Epigenomic Data. ICIC (3) (2021)
Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu
A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction. ICIC (3) (2021)
Hongjie Wu, Huajing Ling, Lei Gao, Qiming Fu, Weizhong Lu, Yijie Ding, Min Jiang, Haiou Li
Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Qiming Fu, QingSong Liu, Zhen Gao, Hongjie Wu, Baochuan Fu, Jianping Chen
A Building Energy Consumption Prediction Method Based on Integration of a Deep Neural Network and Transfer Reinforcement Learning. Int. J. Pattern Recognit. Artif. Intell. 34 (10) (2020)
Zhipeng Li, Fei Wang, Hamdan Taleb, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao, Lijun Zhang
License Plate Detection and Recognition Technology for Complex Real Scenarios. ICIC (1) (2020)
Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification. ICIC (2) (2020)
Yong Wu, Si-Zhe Wan, Di Wu, Chao Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
Position Attention-Guided Learning for Infrared-Visible Person Re-identification. ICIC (1) (2020)
Siguo Wang, Zhen Shen, Ying He, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites. ICIC (2) (2020)
Yindong Zhang, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao
Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network. ICIC (2) (2020)
Tengsheng Jiang, Hongjie Wu, Yuhui Chen, Haiou Li, Jin Qiu, Weizhong Lu, Qiming Fu
Prediction of Membrane Protein Interaction Based on Deep Residual Learning. ICIC (2) (2020)
Kun Zhang, Di Wu, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao, Lijun Zhang, Yuchuan Du, Hanli Wang
Random Occlusion Recovery with Noise Channel for Person Re-identification. ICIC (1) (2020)
Hongwei Yang, Di Wu, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao, Zhongqiu Zhao
Plant Leaf Recognition Network Based on Feature Learning and Metric Learning. ICIC (1) (2020)
Qiming Fu, Yiyi Kang, Zhen Gao, Hongjie Wu, Fuyuan Hu, Jianping Chen, Shan Zhong
Multi-threading parallel reinforcement learning. Int. J. Comput. Appl. Technol. 61 (4) (2019)
Hongjie Wu, Hongmei Huang, Weizhong Lu, Qiming Fu, Yijie Ding, Jing Qiu, Haiou Li
Ranking near-native candidate protein structures via random forest classification. BMC Bioinform. (25) (2019)
Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang
A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information. ICIC (2) (2019)
Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding
Research on RNA Secondary Structure Prediction Based on Decision Tree. ICIC (2) (2019)
Qiming Fu, Zhengxia Yang, You Lu, Hongjie Wu, Fuyuan Hu, Jianping Chen
Variational Bayesian Exploration-Based Active Sarsa Algorithm. Int. J. Pattern Recognit. Artif. Intell. 33 (10) (2019)
Huajing Ling, Hongjie Wu, Jiayan Han, Jiwen Ding, Weizhong Lu, Qiming Fu
Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs. ICIC (2) (2019)
Hongjie Wu, Ru Yang, Qiming Fu, Jianping Chen, Weizhong Lu, Haiou Li
Research on predicting 2D-HP protein folding using reinforcement learning with full state space. BMC Bioinform. (25) (2019)
Weizhong Lu, Ye Tang, Hongjie Wu, Hongmei Huang, Qiming Fu, Jing Qiu, Haiou Li
Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter. BMC Bioinform. (25) (2019)
Hongjie Wu, Kaihui Bian, Jing Qiu, Xiaokang Ye, Cheng Chen, Baochuan Fu
The prediction of foundation pit based on genetic back propagation neural network. J. Comput. Methods Sci. Eng. 19 (3) (2019)
Jianping Chen, Feng Zou, Quan Liu, Hongjie Wu, Fuyuan Hu, Qiming Fu
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). 计算机科学 46 (10) (2019)
Hongjie Wu, Chengyuan Cao, Xiaoyan Xia, Qiang Lv
Unified Deep Learning Architecture for Modeling Biology Sequence. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Hongjie Wu, Dadong Dai, Huaxiang Shen, Ru Yang, Weizhong Lu, Qiming Fu
Optimizing GPCR Two-Dimensional Topology from Contact Map. ICIC (3) (2018)
Qiming Fu, Lingyao Hu, Hongjie Wu, Fuyuan Hu, Wen Hu, Jianping Chen
A Sarsa-based adaptive controller for building energy conservation. J. Comput. Methods Sci. Eng. 18 (2) (2018)
Lei Deng, Hongjie Wu, Chuyao Liu, Weihua Zhan, Jingpu Zhang
Probing the functions of long non-coding RNAs by exploiting the topology of global association and interaction network. Comput. Biol. Chem. 74 (2018)
Hongjie Wu, Cheng Chen, Weisheng Liu, Ru Yang, Qiming Fu, Baochuan Fu, Dadong Dai
Prediction of Indoor PM2.5 Index Using Genetic Neural Network Model. ICIC (1) (2018)
Hongjie Wu, Kaihui Bian, Qiming Fu, Cheng Chen, Xiaokang Ye, Jianping Chen
A study on multi-dimension error compensation and application to the foundation pit monitoring. J. Comput. Methods Sci. Eng. 18 (4) (2018)
Ru Yang, Hongjie Wu, Qiming Fu, Tao Ding, Cheng Chen
Optimizing HP Model Using Reinforcement Learning. ICIC (2) (2018)
Hongjie Wu, Ye Tang, Weizhong Lu, Cheng Chen, Hongmei Huang, Qiming Fu
RNA Secondary Structure Prediction Based on Long Short-Term Memory Model. ICIC (1) (2018)
Qiming Fu, Quan Liu, Shan Zhong, Heng Luo, Hongjie Wu, Jianping Chen
Single Trajectory Learning: Exploration Versus Exploitation. Int. J. Pattern Recognit. Artif. Intell. 32 (6) (2018)
Hongjie Wu, Kun Wang, Liyao Lu, Yu Xue, Qiang Lyu, Min Jiang
Deep Conditional Random Field Approach to Transmembrane Topology Prediction and Application to GPCR Three-Dimensional Structure Modeling. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (5) (2017)
You Lu, Baochuan Fu, Xuefeng Xi, Zhancheng Zhang, Hongjie Wu
An SDN-Based Flow Control Mechanism for Guaranteeing QoS and Maximizing Throughput. Wirel. Pers. Commun. 97 (1) (2017)
Cheng Chen, Hongjie Wu, Kaihui Bian
β-Barrel Transmembrane Protein Predicting Using Support Vector Machine. ICIC (3) (2017)
Hongjie Wu, Chuang Wu, Chen cheng, Longfei Song, Min Jiang
A Parallel Multiple K-Means Clustering and Application on Detect Near Native Model. ICIC (2) (2016)
Ning Feng, Baochuan Fu, Hongjie Wu, Xiuhua Wang
Modeling of fuzzy comprehensive evaluation based on cloud model. ICARCV (2016)
Kun Wang, Hongjie Wu, Weizhong Lu, Baochuan Fu, Qiang Lü, Xu Huang
Predicting Helix Boundaries of α-Helix Transmembrane Protein with Feedback Conditional Random Fields. ICIC (1) (2015)
Weizhong Lu, Baochuan Fu, Hongjie Wu, Qiang Lü, Kun Wang, Min Jiang
CRF-TM: A Conditional Random Field Method for Predicting Transmembrane Topology. IScIDE (2) (2015)
Lijun Quan, Qiang Lü, Haiou Li, Xiaoyan Xia, Hongjie Wu
Improved packing of protein side chains with parallel ant colonies. BMC Bioinform. 15 (S-12) (2014)
Hongjie Wu, Qiang Lü, Lijun Quan, Peide Qian, Xiaoyan Xia
patGPCR: A Multitemplate Approach for Improving 3D Structure Prediction of Transmembrane Helices of G-Protein-Coupled Receptors. Comput. Math. Methods Medicine 2013 (2013)
Qiang Lv, Hongjie Wu, Jinzhen Wu, Xu Huang, Xiaohu Luo, Peide Qian
A parallel ant colonies approach to de novo prediction of protein backbone in CASP8/9. Sci. China Inf. Sci. 56 (10) (2013)
Ka Wai Eric Cheng, B. P. Divakar, Hongjie Wu, Kai Ding, Ho Fai Ho
Battery-Management System (BMS) and SOC Development for Electrical Vehicles. IEEE Trans. Veh. Technol. 60 (1) (2011)
Yali Xiong, Xu Cheng, Zheng John Shen, Chunting Mi, Hongjie Wu, Vijay K. Garg
Prognostic and Warning System for Power-Electronic Modules in Electric, Hybrid Electric, and Fuel-Cell Vehicles. IEEE Trans. Ind. Electron. 55 (6) (2008)