Prognostic and Warning System for Power-Electronic Modules in Electric, Hybrid Electric, and Fuel-Cell Vehicles. - Yali Xiong; Xu Cheng; Zheng John Shen; Chunting Mi; Hongjie Wu; Vijay K. Garg (IEEE Trans. Ind. Electron., 2008)

Battery-Management System (BMS) and SOC Development for Electrical Vehicles. - Ka Wai Eric Cheng; B. P. Divakar; Hongjie Wu; Kai Ding; Ho Fai Ho (IEEE Trans. Veh. Technol., 2011)

A parallel ant colonies approach to de novo prediction of protein backbone in CASP8/9. - Qiang Lv; Hongjie Wu; Jinzhen Wu; Xu Huang; Xiaohu Luo; Peide Qian (Sci. China Inf. Sci., 2013)

patGPCR: A Multitemplate Approach for Improving 3D Structure Prediction of Transmembrane Helices of G-Protein-Coupled Receptors. - Hongjie Wu; Qiang Lü; Lijun Quan; Peide Qian; Xiaoyan Xia (Comput. Math. Methods Medicine, 2013)

Improved packing of protein side chains with parallel ant colonies. - Lijun Quan; Qiang Lü; Haiou Li; Xiaoyan Xia; Hongjie Wu (BMC Bioinform., 2014)

Predicting Helix Boundaries of α-Helix Transmembrane Protein with Feedback Conditional Random Fields. - Kun Wang 005; Hongjie Wu; Weizhong Lu; Baochuan Fu; Qiang Lü; Xu Huang (ICIC (1), 2015)

CRF-TM: A Conditional Random Field Method for Predicting Transmembrane Topology. - Weizhong Lu; Baochuan Fu; Hongjie Wu; Qiang Lü; Kun Wang 005; Min Jiang 009 (IScIDE (2), 2015)

Modeling of fuzzy comprehensive evaluation based on cloud model. - Ning Feng; Baochuan Fu; Hongjie Wu; Xiuhua Wang 004 (ICARCV, 2016)

A Parallel Multiple K-Means Clustering and Application on Detect Near Native Model. - Hongjie Wu; Chuang Wu; Chen Cheng; Longfei Song; Min Jiang 009 (ICIC (2), 2016)

β-Barrel Transmembrane Protein Predicting Using Support Vector Machine. - Cheng Chen; Hongjie Wu; Kaihui Bian (ICIC (3), 2017)

Deep Conditional Random Field Approach to Transmembrane Topology Prediction and Application to GPCR Three-Dimensional Structure Modeling. - Hongjie Wu; Kun Wang 005; Liyao Lu; Yu Xue 003; Qiang Lyu; Min Jiang 009 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

An SDN-Based Flow Control Mechanism for Guaranteeing QoS and Maximizing Throughput. - You Lu 004; Baochuan Fu; Xuefeng Xi; Zhancheng Zhang; Hongjie Wu (Wirel. Pers. Commun., 2017)

Prediction of Indoor PM2.5 Index Using Genetic Neural Network Model. - Hongjie Wu; Cheng Chen; Weisheng Liu; Ru Yang; Qiming Fu 001; Baochuan Fu; Dadong Dai (ICIC (1), 2018)

Optimizing GPCR Two-Dimensional Topology from Contact Map. - Hongjie Wu; Dadong Dai; Huaxiang Shen; Ru Yang; Weizhong Lu; Qiming Fu 001 (ICIC (3), 2018)

RNA Secondary Structure Prediction Based on Long Short-Term Memory Model. - Hongjie Wu; Ye Tang; Weizhong Lu; Cheng Chen; Hongmei Huang; Qiming Fu 001 (ICIC (1), 2018)

Optimizing HP Model Using Reinforcement Learning. - Ru Yang; Hongjie Wu; Qiming Fu 001; Tao Ding; Cheng Chen (ICIC (2), 2018)

Probing the functions of long non-coding RNAs by exploiting the topology of global association and interaction network. - Lei Deng 002; Hongjie Wu; Chuyao Liu; Weihua Zhan; Jingpu Zhang (Comput. Biol. Chem., 2018)

Single Trajectory Learning: Exploration Versus Exploitation. - Qiming Fu 001; Quan Liu 004; Shan Zhong; Heng Luo; Hongjie Wu; Jianping Chen (Int. J. Pattern Recognit. Artif. Intell., 2018)

A Sarsa-based adaptive controller for building energy conservation. - Qiming Fu 001; Lingyao Hu; Hongjie Wu; Fuyuan Hu; Wen Hu; Jianping Chen (J. Comput. Methods Sci. Eng., 2018)

A study on multi-dimension error compensation and application to the foundation pit monitoring. - Hongjie Wu; Kaihui Bian; Qiming Fu 001; Cheng Chen; Xiaokang Ye; Jianping Chen (J. Comput. Methods Sci. Eng., 2018)

Unified Deep Learning Architecture for Modeling Biology Sequence. - Hongjie Wu; Chengyuan Cao; Xiaoyan Xia; Qiang Lv (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs. - Huajing Ling; Hongjie Wu; Jiayan Han; Jiwen Ding; Weizhong Lu; Qiming Fu 001 (ICIC (2), 2019)

Research on RNA Secondary Structure Prediction Based on Decision Tree. - Weizhong Lu; Yan Cao; Hongjie Wu; Hongmei Huang; Yijie Ding (ICIC (2), 2019)

A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information. - Weizhong Lu; Zhengwei Song; Yijie Ding; Hongjie Wu; Hongmei Huang (ICIC (2), 2019)

Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter. - Weizhong Lu; Ye Tang; Hongjie Wu; Hongmei Huang; Qiming Fu 001; Jing Qiu; Haiou Li (BMC Bioinform., 2019)

Ranking near-native candidate protein structures via random forest classification. - Hongjie Wu; Hongmei Huang; Weizhong Lu; Qiming Fu 001; Yijie Ding; Jing Qiu; Haiou Li (BMC Bioinform., 2019)

Research on predicting 2D-HP protein folding using reinforcement learning with full state space. - Hongjie Wu; Ru Yang; Qiming Fu 001; Jianping Chen; Weizhong Lu; Haiou Li (BMC Bioinform., 2019)

Multi-threading parallel reinforcement learning. - Qiming Fu 001; Yiyi Kang; Zhen Gao; Hongjie Wu; Fuyuan Hu; Jianping Chen; Shan Zhong (Int. J. Comput. Appl. Technol., 2019)

Variational Bayesian Exploration-Based Active Sarsa Algorithm. - Qiming Fu 001; Zhengxia Yang; You Lu 004; Hongjie Wu; Fuyuan Hu; Jianping Chen (Int. J. Pattern Recognit. Artif. Intell., 2019)

The prediction of foundation pit based on genetic back propagation neural network. - Hongjie Wu; Kaihui Bian; Jing Qiu; Xiaokang Ye; Cheng Chen; Baochuan Fu (J. Comput. Methods Sci. Eng., 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; Feng Zou; Quan Liu 004; Hongjie Wu; Fuyuan Hu; Qiming Fu 001 (计算机科学, 2019)

Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification. - Ying He; Zhen Shen; Qinhu Zhang; Siguo Wang; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao (ICIC (2), 2020)

Prediction of Membrane Protein Interaction Based on Deep Residual Learning. - Tengsheng Jiang; Hongjie Wu; Yuhui Chen; Haiou Li; Jin Qiu; Weizhong Lu; Qiming Fu 001 (ICIC (2), 2020)

License Plate Detection and Recognition Technology for Complex Real Scenarios. - Zhipeng Li 002; Fei Wang; Hamdan Taleb; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao; Lijun Zhang (ICIC (1), 2020)

A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites. - Siguo Wang; Zhen Shen; Ying He; Qinhu Zhang; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao (ICIC (2), 2020)

Position Attention-Guided Learning for Infrared-Visible Person Re-identification. - Yong Wu; Si-Zhe Wan; Di Wu 030; Chao Wang 071; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao (ICIC (1), 2020)

Plant Leaf Recognition Network Based on Feature Learning and Metric Learning. - Hongwei Yang; Di Wu 030; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao; Zhongqiu Zhao (ICIC (1), 2020)

Random Occlusion Recovery with Noise Channel for Person Re-identification. - Kun Zhang; Di Wu 030; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao; Lijun Zhang; Yuchuan Du; Hanli Wang (ICIC (1), 2020)

Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network. - Yindong Zhang; Qinhu Zhang; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao (ICIC (2), 2020)

A Building Energy Consumption Prediction Method Based on Integration of a Deep Neural Network and Transfer Reinforcement Learning. - Qiming Fu 001; QingSong Liu; Zhen Gao; Hongjie Wu; Baochuan Fu; Jianping Chen (Int. J. Pattern Recognit. Artif. Intell., 2020)

Depth Factor Decomposition Machine Based on Multi-kernel Convolutional Neural Network for Click-Through Rate Prediction. - Shoujian Yu; Hongjie Wu; Jianyun Xie; Xiaoling Xia (BDE, 2021)

A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction. - Linqian Cui; You Lu 004; Qiming Fu 001; Jiacheng Sun; Xiao Xu; Yijie Ding; Hongjie Wu (ICIC (3), 2021)

DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion. - Shixuan Guan; Tengsheng Jiang; Weizhong Lu; Qiming Fu 001; Haiou Li; Hongjie Wu (ICIC (3), 2021)

Plant Leaf Recognition Network Based on Fine-Grained Visual Classification. - Wenhui Liu; Changan Yuan 001; Xiao Qin 005; Hongjie Wu (ICIC (1), 2021)

Research on RNA Secondary Structure Prediction Based on MLP. - Weizhong Lu; Xiaoyi Chen; Yu Zhang 027; Hongjie Wu; Jiawei Shen; Nan Zhou; Yijie Ding (ICIC (3), 2021)

Membrane Protein Identification via Multiple Kernel Fuzzy SVM. - Weizhong Lu; Jiawei Shen; Yuqing Qian; Hongjie Wu; Yijie Ding; Xiaoyi Chen (ICIC (3), 2021)

Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification. - Si-Zhe Wan; Changan Yuan 001; Xiao Qin 005; Hongjie Wu (ICIC (1), 2021)

Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw DNA Sequence, Evolutionary Information and Epigenomic Data. - Youhong Xu; Qinghu Zhang; Zhanheng Chen; Chang-an Yuan 001; Xiao Qin 005; Hongjie Wu (ICIC (3), 2021)

Super-Large Medical Image Storage and Display Technology Based on Concentrated Points of Interest. - Jun Yan; Yuli Wang; Haiou Li; Weizhong Lu; Hongjie Wu (ICIC (1), 2021)

Automatic Cataract Detection with Multi-Task Learning. - Hongjie Wu; Jiancheng Lv 001; Jian Wang 124 (IJCNN, 2021)

Multi-zone Residential HVAC Control with Satisfying Occupants' Thermal Comfort Requirements and Saving Energy via Reinforcement Learning. - Zhengkai Ding; Qiming Fu 001; Jianping Chen; Hongjie Wu; You Lu 004; Fuyuan Hu (PDCAT, 2021)

Research on RNA secondary structure predicting via bidirectional recurrent neural network. - Weizhong Lu; Yan Cao; Hongjie Wu; Yijie Ding; Zhengwei Song; Yu Zhang 027; Qiming Fu 001; Haiou Li (BMC Bioinform., 2021)

Flower growth status recognition method based on feature fusion convolutional neural network. - Haiming Liu; Shixuan Guan; Weizhong Lu; Haiou Li; Hongjie Wu (J. Comput. Methods Sci. Eng., 2021)

Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors. - Hongjie Wu; Huajing Ling; Lei Gao; Qiming Fu 001; Weizhong Lu; Yijie Ding; Min Jiang 009; Haiou Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Study on Path Planning of Multi-storey Parking Lot Based on Combined Loss Function. - Zhongtian Hu; Jun Yan; Yuli Wang; Changsong Yang; Qiming Fu 001; Weizhong Lu; Hongjie Wu (ICIC (3), 2022)

Drug-Target Interaction Prediction Based on Graph Neural Network and Recommendation System. - Peng Lei; Chang-an Yuan 001; Hongjie Wu; Xingming Zhao (ICIC (2), 2022)

Drug-Target Interaction Prediction Based on Transformer. - Junkai Liu; Tengsheng Jiang; Yaoyao Lu; Hongjie Wu (ICIC (2), 2022)

Protein-Ligand Binding Affinity Prediction Based on Deep Learning. - Yaoyao Lu; Junkai Liu; Tengsheng Jiang; Shixuan Guan; Hongjie Wu (ICIC (2), 2022)

Local Feature for Visible-Thermal PReID Based on Transformer. - Quanyi Pu; Changan Yuan 001; Hongjie Wu; Xingming Zhao (ICIC (1), 2022)

An Effective Method for Yemeni License Plate Recognition Based on Deep Neural Networks. - Hamdan Taleb; Zhipeng Li 002; Chang-an Yuan 001; Hongjie Wu; Xingming Zhao; Fahd A. Ghanem (ICIC (3), 2022)

Comprehensive Evaluation of BERT Model for DNA-Language for Prediction of DNA Sequence Binding Specificities in Fine-Tuning Phase. - Xianbao Tan; Chang-an Yuan 001; Hongjie Wu; Xingming Zhao (ICIC (2), 2022)

Using Deep Learning to Predict Transcription Factor Binding Sites Based on Multiple-omics Data. - Youhong Xu; Changan Yuan 001; Hongjie Wu; Xingming Zhao (ICIC (1), 2022)

Multi-view Subspace Clustering on Topological Manifold. - Shudong Huang; Hongjie Wu; Yazhou Ren 001; Ivor W. Tsang; Zenglin Xu; Wentao Feng; Jiancheng Lv 001 (NeurIPS, 2022)

SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model. - Yikang Zhang; Xiaomin Chu; Yelu Jiang; Hongjie Wu; Lijun Quan (CoRR, 2022)

G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning. - Tengsheng Jiang; Yuhui Chen; Shixuan Guan; Zhongtian Hu; Weizhong Lu; Qiming Fu 001; Yijie Ding; Haiou Li; Hongjie Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Metric Multi-View Graph Clustering. - Yuze Tan; Yixi Liu; Hongjie Wu; Jiancheng Lv 001; Shudong Huang (AAAI, 2023)

Attribute-Based Searchable Encryption Scheme in Smart Healthcare Blockchain. - Chen Yan; Luping Wang; Hongjie Wu; Fuyuan Hu; Jing Chen 036; Weizhong Lu (ICDM (Workshops), 2023)

Deep Learning-Based Prediction of Drug-Target Binding Affinities by Incorporating Local Structure of Protein. - Runhua Zhang; Baozhong Zhu; Tengsheng Jiang; Zhiming Cui; Hongjie Wu (ICIC (3), 2023)

A Transformer-Based Deep Learning Approach with Multi-layer Feature Processing for Accurate Prediction of Protein-DNA Binding Residues. - Haipeng Zhao; Baozhong Zhu; Tengsheng Jiang; Zhiming Cui; Hongjie Wu (ICIC (3), 2023)

Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model. - Baozhong Zhu; Runhua Zhang; Tengsheng Jiang; Zhiming Cui; Hongjie Wu (ICIC (3), 2023)

ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection. - Wen Yang; Hongjie Wu; Chenwei Tang; Jiancheng Lv 001 (IJCNN, 2023)

Preserving Local and Global Information: An Effective Metric-based Subspace Clustering. - Yixi Liu; Yuze Tan; Hongjie Wu; Shudong Huang; Yazhou Ren 001; Jiancheng Lv 001 (ACM Multimedia, 2023)

MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins. - Shixuan Guan; Yuqing Qian; Tengsheng Jiang; Min Jiang 009; Yijie Ding; Hongjie Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction. - Shixuan Guan; Quan Zou 001; Hongjie Wu; Yijie Ding (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks. - Kailong Li; Lijun Quan; Yelu Jiang; Hongjie Wu; Jian Wu; Yan Li; Yiting Zhou; Tingfang Wu; Qiang Lyu (J. Chem. Inf. Model., 2023)

Pure graph-guided multi-view subspace clustering. - Hongjie Wu; Shudong Huang; Chenwei Tang; Yancheng Zhang; Jiancheng Lv 001 (Pattern Recognit., 2023)

Reinforcement Learning in Few-Shot Scenarios: A Survey. - Zhechao Wang; Qiming Fu 001; Jianping Chen; Yunzhe Wang; You Lu 004; Hongjie Wu (J. Grid Comput., 2023)

Extracting biomedical relation from cross-sentence text using syntactic dependency graph attention network. - Xueyang Zhou; Qiming Fu 001; Jianping Chen; Lanhui Liu; Yunzhe Wang; You Lu 004; Hongjie Wu (J. Biomed. Informatics, 2023)

DNA protein binding recognition based on lifelong learning. - Yongsan Liu; Shixuan Guan; Tengsheng Jiang; Qiming Fu 001; Jieming Ma; Zhiming Cui; Yijie Ding; Hongjie Wu (Comput. Biol. Medicine, 2023)

DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features. - Jingxin Xie; Lijun Quan; Xuejiao Wang; Hongjie Wu; Zhi Jin; Deng Pan; Taoning Chen; Tingfang Wu; Qiang Lyu (J. Chem. Inf. Model., 2023)

Adaptive Nuclear Norm Regularization Model for Prediction of Potential Small Molecule-miRNA Associations. - Ran Tao; Hongjie Wu; Cen Gu; Jing Chen 036 (ICAI (1), 2024)

Feature Extraction Approach for Predicting Protein-DNA Binding Residues Using Transformer Encoder-Decoder Architecture. - Yi Qiu; Long Cheng; Man Xu; Jing Chen 036; Hongjie Wu (ICIC (LNBI 1), 2024)

Protein Manufacture: Protein Design Assisted by Machine Learning from Backbone to Sequence. - Man Xu; Yuxuan Luo; Junhao Jiang; Zhiming Cui; Hongjie Wu (ICIC (LNBI 2), 2024)

Diffusion Posterior Proximal Sampling for Image Restoration. - Hongjie Wu; Linchao He; Mingqin Zhang; Dongdong Chen 004; Kunming Luo; Mengting Luo; Jizhe Zhou; Hu Chen 002; Jiancheng Lv 001 (ACM Multimedia, 2024)

Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy. - Junkai Liu; Fuyuan Hu; Quan Zou 001; Prayag Tiwari; Hongjie Wu; Yijie Ding (Inf. Fusion, 2024)

AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction. - Junkai Liu; Shixuan Guan; Quan Zou 001; Hongjie Wu; Prayag Tiwari; Yijie Ding (Knowl. Based Syst., 2024)

Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection. - Shichang Li; Hongjie Wu; Chenwei Tang; Dongdong Chen 004; Yueyue Chen; Ling Mei; Fan Yang; Jiancheng Lv 001 (Pattern Recognit. Lett., 2024)

AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. - Hongjie Wu; Junkai Liu; Tengsheng Jiang; Quan Zou 001; Shujie Qi; Zhiming Cui; Prayag Tiwari; Yijie Ding (Neural Networks, 2024)

GTAMP-DTA: Graph transformer combined with attention mechanism for drug-target binding affinity prediction. - Chuangchuang Tian; Luping Wang; Zhiming Cui; Hongjie Wu (Comput. Biol. Chem., 2024)

MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. - Junkai Wang; Lijun Quan; Zhi Jin; Hongjie Wu; Xuhao Ma; Xuejiao Wang; Jingxin Xie; Deng Pan; Taoning Chen; Tingfang Wu; Qiang Lyu (IEEE J. Biomed. Health Informatics, 2024)

Improving drug-target interaction prediction through dual-modality fusion with InteractNet. - Baozhong Zhu; Runhua Zhang; Tengsheng Jiang; Zhiming Cui; Jing Chen 036; Hongjie Wu (J. Bioinform. Comput. Biol., 2024)

Euclidean Distance is Not Your Swiss Army Knife. - Yuze Tan; Yixi Liu; Hongjie Wu; Shudong Huang; Zenglin Xu; Ivor W. Tsang; Jiancheng Lv 001 (IEEE Trans. Knowl. Data Eng., 2024)

ProAttUnet: Advancing protein secondary structure prediction with deep learning via U-Net dual-pathway feature fusion and ESM2 pretrained protein language model. - Long Cheng; Weizhong Lu; Yiyi Xia; Yiming Lu; Jiyun Shen; Zhiqiang Hui; Yixin Xu; Hongjie Wu; Jing Chen 036; Qiming Fu 001; You Lu 004 (Comput. Biol. Chem., 2025)

LinFa-Q: Accurate Q-learning with linear function approximation. - Zhechao Wang; Qiming Fu 001; Jianping Chen; Quan Liu 004; You Lu 004; Hongjie Wu; Fuyuan Hu (Neurocomputing, 2025)

Beyond ST-246: Unveiling Potential Inhibitors Targeting VP37 Protein in Silico From Herb and Marine Databases. - Runhua Zhang; Xin Zhang 103; Shulin Zhao 003; Quan Zou 001; Yijie Ding; Xiaoyi Guo; Hongjie Wu (J. Comput. Chem., 2025)

Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation. - Zhenxuan Zhang; Hongjie Wu; Jiahao Huang; Baihong Xie; Zhifan Gao; Junxian Du; Peter J. Lally; Guang Yang 006 (CoRR, 2025)

TrGPCR: GPCR-Ligand Binding Affinity Prediction Based on Dynamic Deep Transfer Learning. - Yaoyao Lu; Runhua Zhang; Tengsheng Jiang; Qiming Fu 001; Zhiming Cui; Hongjie Wu (IEEE J. Biomed. Health Informatics, 2025)

A Privacy Protection Scheme for Consumer Electronics Data Based on Blockchain and AI. - Luping Wang 001; Chen Yan; Hongjie Wu; Fa Zhu; Saru Kumari; Mohammed J. F. Alenazi (IEEE Trans. Consumer Electron., 2025)

Enhancing Diffusion Model Stability for Image Restoration via Gradient Management. - Hongjie Wu; Mingqin Zhang; Linchao He; Jizhe Zhou; Jiancheng Lv 001 (CoRR, 2025)