Hongjie Wu

According to our database, Hongjie Wu authored at least 91 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LinFa-Q: Accurate Q-learning with linear function approximation.

Zhechao Wang, Qiming Fu, Jianping Chen, Quan Liu, You Lu, Hongjie Wu, Fuyuan Hu

Neurocomputing, 2025

2024

Euclidean Distance is Not Your Swiss Army Knife.

Yuze Tan, Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv

IEEE Trans. Knowl. Data Eng., December, 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, August, 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., February, 2024

AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism.

Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding

Neural Networks, January, 2024

Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection.

Shichang Li, Hongjie Wu, Chenwei Tang, Dongdong Chen, Yueyue Chen, Ling Mei, Fan Yang, Jiancheng Lv

Pattern Recognit. Lett., 2024

AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction.

Junkai Liu, Shixuan Guan, Quan Zou, Hongjie Wu, Prayag Tiwari, Yijie Ding

Knowl. Based Syst., 2024

Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy.

Junkai Liu, Fuyuan Hu, Quan Zou, Prayag Tiwari, Hongjie Wu, Yijie Ding

Inf. Fusion, 2024

Diffusion Posterior Proximal Sampling for Image Restoration.

Hongjie Wu, Linchao He, Mingqin Zhang, Dongdong Chen, Kunming Luo, Mengting Luo, Jizhe Zhou, Hu Chen, Jiancheng Lv

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Protein Manufacture: Protein Design Assisted by Machine Learning from Backbone to Sequence.

Man Xu, Yuxuan Luo, Junhao Jiang, Zhiming Cui, Hongjie Wu

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Feature Extraction Approach for Predicting Protein-DNA Binding Residues Using Transformer Encoder-Decoder Architecture.

Yi Qiu, Long Cheng, Man Xu, Jing Chen, Hongjie Wu

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

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., November, 2023

DNA protein binding recognition based on lifelong learning.

Yongsan Liu, Shixuan Guan, Tengsheng Jiang, Qiming Fu, Jieming Ma, Zhiming Cui, Yijie Ding, Hongjie Wu

Comput. Biol. Medicine, September, 2023

Extracting biomedical relation from cross-sentence text using syntactic dependency graph attention network.

Xueyang Zhou, Qiming Fu, Jianping Chen, Lanhui Liu, Yunzhe Wang, You Lu, Hongjie Wu

J. Biomed. Informatics, August, 2023

Reinforcement Learning in Few-Shot Scenarios: A Survey.

Zhechao Wang, Qiming Fu, Jianping Chen, Yunzhe Wang, You Lu, Hongjie Wu

J. Grid Comput., June, 2023

Pure graph-guided multi-view subspace clustering.

Hongjie Wu, Shudong Huang, Chenwei Tang, Yancheng Zhang, Jiancheng Lv

Pattern Recognit., April, 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., April, 2023

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

Shixuan Guan, Quan Zou, Hongjie Wu, Yijie Ding

IEEE ACM Trans. Comput. Biol. Bioinform., 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, Yijie Ding, Hongjie Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Preserving Local and Global Information: An Effective Metric-based Subspace Clustering.

Yixi Liu, Yuze Tan, Hongjie Wu, Shudong Huang, Yazhou Ren, Jiancheng Lv

Proceedings of the 31st ACM International Conference on Multimedia, 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

Proceedings of the International Joint Conference on Neural Networks, 2023

Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model.

Baozhong Zhu, Runhua Zhang, Tengsheng Jiang, Zhiming Cui, Hongjie Wu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 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

Proceedings of the Advanced Intelligent Computing Technology and Applications, 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

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Attribute-Based Searchable Encryption Scheme in Smart Healthcare Blockchain.

Chen Yan, Luping Wang, Hongjie Wu, Fuyuan Hu, Jing Chen, Weizhong Lu

Proceedings of the IEEE International Conference on Data Mining, 2023

Metric Multi-View Graph Clustering.

Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Tengsheng Jiang, Yuhui Chen, Shixuan Guan, Zhongtian Hu, Weizhong Lu, Qiming Fu, Yijie Ding, Haiou Li, Hongjie Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 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

Multi-view Subspace Clustering on Topological Manifold.

Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Using Deep Learning to Predict Transcription Factor Binding Sites Based on Multiple-omics Data.

Youhong Xu, Changan Yuan, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 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, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2022

An Effective Method for Yemeni License Plate Recognition Based on Deep Neural Networks.

Hamdan Taleb, Zhipeng Li, Chang-an Yuan, Hongjie Wu, Xingming Zhao, Fahd A. Ghanem

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

Local Feature for Visible-Thermal PReID Based on Transformer.

Quanyi Pu, Changan Yuan, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2022

Protein-Ligand Binding Affinity Prediction Based on Deep Learning.

Yaoyao Lu, Junkai Liu, Tengsheng Jiang, Shixuan Guan, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2022

Drug-Target Interaction Prediction Based on Transformer.

Junkai Liu, Tengsheng Jiang, Yaoyao Lu, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2022

Drug-Target Interaction Prediction Based on Graph Neural Network and Recommendation System.

Peng Lei, Chang-an Yuan, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2022

Study on Path Planning of Multi-storey Parking Lot Based on Combined Loss Function.

Zhongtian Hu, Jun Yan, Yuli Wang, Changsong Yang, Qiming Fu, Weizhong Lu, Hongjie Wu

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

2021

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

Hongjie Wu, Huajing Ling, Lei Gao, Qiming Fu, Weizhong Lu, Yijie Ding, Min Jiang, Haiou Li

IEEE ACM Trans. Comput. Biol. 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

Research on RNA secondary structure predicting via bidirectional recurrent neural network.

Weizhong Lu, Yan Cao, Hongjie Wu, Yijie Ding, Zhengwei Song, Yu Zhang, Qiming Fu, Haiou Li

BMC Bioinform., 2021

Multi-zone Residential HVAC Control with Satisfying Occupants' Thermal Comfort Requirements and Saving Energy via Reinforcement Learning.

Zhengkai Ding, Qiming Fu, Jianping Chen, Hongjie Wu, You Lu, Fuyuan Hu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

Automatic Cataract Detection with Multi-Task Learning.

Hongjie Wu, Jiancheng Lv, Jian Wang

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the Intelligent Computing Theories and Application, 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, Xiao Qin, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2021

Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification.

Si-Zhe Wan, Changan Yuan, Xiao Qin, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2021

Membrane Protein Identification via Multiple Kernel Fuzzy SVM.

Weizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding, Xiaoyi Chen

Proceedings of the Intelligent Computing Theories and Application, 2021

Research on RNA Secondary Structure Prediction Based on MLP.

Weizhong Lu, Xiaoyi Chen, Yu Zhang, Hongjie Wu, Jiawei Shen, Nan Zhou, Yijie Ding

Proceedings of the Intelligent Computing Theories and Application, 2021

Plant Leaf Recognition Network Based on Fine-Grained Visual Classification.

Wenhui Liu, Changan Yuan, Xiao Qin, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2021

DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion.

Shixuan Guan, Tengsheng Jiang, Weizhong Lu, Qiming Fu, Haiou Li, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2021

A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction.

Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2021

Depth Factor Decomposition Machine Based on Multi-kernel Convolutional Neural Network for Click-Through Rate Prediction.

Shoujian Yu, Hongjie Wu, Jianyun Xie, Xiaoling Xia

Proceedings of the BDE 2021: The 3rd International Conference on Big Data Engineering, Shanghai, China, May 29, 2021

2020

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

Qiming Fu, QingSong Liu, Zhen Gao, Hongjie Wu, Baochuan Fu, Jianping Chen

Int. J. Pattern Recognit. Artif. Intell., 2020

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

Yindong Zhang, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

Random Occlusion Recovery with Noise Channel for Person Re-identification.

Kun Zhang, Di Wu, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao, Lijun Zhang, Yuchuan Du, Hanli Wang

Proceedings of the Intelligent Computing Theories and Application, 2020

Plant Leaf Recognition Network Based on Feature Learning and Metric Learning.

Hongwei Yang, Di Wu, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao, Zhongqiu Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

Position Attention-Guided Learning for Infrared-Visible Person Re-identification.

Yong Wu, Si-Zhe Wan, Di Wu, Chao Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 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, Xiao Qin, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

License Plate Detection and Recognition Technology for Complex Real Scenarios.

Zhipeng Li, Fei Wang, Hamdan Taleb, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao, Lijun Zhang

Proceedings of the Intelligent Computing Theories and Application, 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

Proceedings of the Intelligent Computing Theories and Application, 2020

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

Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

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, Hongjie Wu, Fuyuan Hu, Qiming Fu

计算机科学, 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

Variational Bayesian Exploration-Based Active Sarsa Algorithm.

Qiming Fu, Zhengxia Yang, You Lu, Hongjie Wu, Fuyuan Hu, Jianping Chen

Int. J. Pattern Recognit. Artif. Intell., 2019

Multi-threading parallel reinforcement learning.

Qiming Fu, Yiyi Kang, Zhen Gao, Hongjie Wu, Fuyuan Hu, Jianping Chen, Shan Zhong

Int. J. Comput. Appl. Technol., 2019

Research on predicting 2D-HP protein folding using reinforcement learning with full state space.

Hongjie Wu, Ru Yang, Qiming Fu, Jianping Chen, Weizhong Lu, Haiou Li

BMC Bioinform., 2019

Ranking near-native candidate protein structures via random forest classification.

Hongjie Wu, Hongmei Huang, Weizhong Lu, Qiming Fu, Yijie Ding, Jing Qiu, Haiou Li

BMC Bioinform., 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, Jing Qiu, Haiou Li

BMC Bioinform., 2019

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

Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang

Proceedings of the Intelligent Computing Theories and Application, 2019

Research on RNA Secondary Structure Prediction Based on Decision Tree.

Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding

Proceedings of the Intelligent Computing Theories and Application, 2019

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

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Unified Deep Learning Architecture for Modeling Biology Sequence.

Hongjie Wu, Chengyuan Cao, Xiaoyan Xia, Qiang Lv

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

A study on multi-dimension error compensation and application to the foundation pit monitoring.

Hongjie Wu, Kaihui Bian, Qiming Fu, Cheng Chen, Xiaokang Ye, Jianping Chen

J. Comput. Methods Sci. Eng., 2018

A Sarsa-based adaptive controller for building energy conservation.

Qiming Fu, Lingyao Hu, Hongjie Wu, Fuyuan Hu, Wen Hu, Jianping Chen

J. Comput. Methods Sci. Eng., 2018

Single Trajectory Learning: Exploration Versus Exploitation.

Qiming Fu, Quan Liu, Shan Zhong, Heng Luo, Hongjie Wu, Jianping Chen

Int. J. Pattern Recognit. Artif. Intell., 2018

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

Lei Deng, Hongjie Wu, Chuyao Liu, Weihua Zhan, Jingpu Zhang

Comput. Biol. Chem., 2018

Optimizing HP Model Using Reinforcement Learning.

Ru Yang, Hongjie Wu, Qiming Fu, Tao Ding, Cheng Chen

Proceedings of the Intelligent Computing Theories and Application, 2018

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

Hongjie Wu, Ye Tang, Weizhong Lu, Cheng Chen, Hongmei Huang, Qiming Fu

Proceedings of the Intelligent Computing Theories and Application, 2018

Optimizing GPCR Two-Dimensional Topology from Contact Map.

Hongjie Wu, Dadong Dai, Huaxiang Shen, Ru Yang, Weizhong Lu, Qiming Fu

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Prediction of Indoor PM2.5 Index Using Genetic Neural Network Model.

Hongjie Wu, Cheng Chen, Weisheng Liu, Ru Yang, Qiming Fu, Baochuan Fu, Dadong Dai

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

An SDN-Based Flow Control Mechanism for Guaranteeing QoS and Maximizing Throughput.

You Lu, Baochuan Fu, Xuefeng Xi, Zhancheng Zhang, Hongjie Wu

Wirel. Pers. Commun., 2017

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

Hongjie Wu, Kun Wang, Liyao Lu, Yu Xue, Qiang Lyu, Min Jiang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

β-Barrel Transmembrane Protein Predicting Using Support Vector Machine.

Cheng Chen, Hongjie Wu, Kaihui Bian

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

2016

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

Hongjie Wu, Chuang Wu, Chen Cheng, Longfei Song, Min Jiang

Proceedings of the Intelligent Computing Theories and Application, 2016

Modeling of fuzzy comprehensive evaluation based on cloud model.

Ning Feng, Baochuan Fu, Hongjie Wu, Xiuhua Wang

Proceedings of the 14th International Conference on Control, 2016

2015

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

Weizhong Lu, Baochuan Fu, Hongjie Wu, Qiang Lü, Kun Wang, Min Jiang

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Predicting Helix Boundaries of α-Helix Transmembrane Protein with Feedback Conditional Random Fields.

Kun Wang, Hongjie Wu, Weizhong Lu, Baochuan Fu, Qiang Lü, Xu Huang

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014

Improved packing of protein side chains with parallel ant colonies.

Lijun Quan, Qiang Lü, Haiou Li, Xiaoyan Xia, Hongjie Wu

BMC Bioinform., 2014

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

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

2011

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

2008

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