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2020 – today
- 2025
- [j39]Zhechao Wang, Qiming Fu, Jianping Chen, Quan Liu, You Lu, Hongjie Wu, Fuyuan Hu:
LinFa-Q: Accurate Q-learning with linear function approximation. Neurocomputing 611: 128654 (2025) - 2024
- [j38]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: 107982 (2024) - [j37]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: 102563 (2024) - [j36]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: 111329 (2024) - [j35]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: 623-636 (2024) - [j34]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: 94-100 (2024) - [j33]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): 4995-5006 (2024) - [c50]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: 241-250 - [c49]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: 337-346 - [c48]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. ACM Multimedia 2024: 214-223 - [i2]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 abs/2402.16907 (2024) - 2023
- [j32]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: 107094 (2023) - [j31]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): 30 (2023) - [j30]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: 104445 (2023) - [j29]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): 2251-2262 (2023) - [j28]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): 7258-7271 (2023) - [j27]Hongjie Wu, Shudong Huang, Chenwei Tang, Yancheng Zhang, Jiancheng Lv:
Pure graph-guided multi-view subspace clustering. Pattern Recognit. 136: 109187 (2023) - [j26]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): 1246-1256 (2023) - [j25]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): 2619-2628 (2023) - [c47]Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang:
Metric Multi-View Graph Clustering. AAAI 2023: 9962-9970 - [c46]Chen Yan, Luping Wang, Hongjie Wu, Fuyuan Hu, Jing Chen, Weizhong Lu:
Attribute-Based Searchable Encryption Scheme in Smart Healthcare Blockchain. ICDM (Workshops) 2023: 698-705 - [c45]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: 556-567 - [c44]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: 666-675 - [c43]Baozhong Zhu, Runhua Zhang, Tengsheng Jiang, Zhiming Cui, Hongjie Wu:
Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model. ICIC (3) 2023: 676-686 - [c42]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: 1-8 - [c41]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: 3619-3627 - 2022
- [j24]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): 3126-3134 (2022) - [c40]Peng Lei, Chang-an Yuan, Hongjie Wu, Xingming Zhao:
Drug-Target Interaction Prediction Based on Graph Neural Network and Recommendation System. ICIC (2) 2022: 66-78 - [c39]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: 92-102 - [c38]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: 234-241 - [c37]Junkai Liu, Tengsheng Jiang, Yaoyao Lu, Hongjie Wu:
Drug-Target Interaction Prediction Based on Transformer. ICIC (2) 2022: 302-309 - [c36]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: 304-314 - [c35]Yaoyao Lu, Junkai Liu, Tengsheng Jiang, Shixuan Guan, Hongjie Wu:
Protein-Ligand Binding Affinity Prediction Based on Deep Learning. ICIC (2) 2022: 310-316 - [c34]Quanyi Pu, Changan Yuan, Hongjie Wu, Xingming Zhao:
Local Feature for Visible-Thermal PReID Based on Transformer. ICIC (1) 2022: 352-362 - [c33]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: 799-810 - [c32]Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv:
Multi-view Subspace Clustering on Topological Manifold. NeurIPS 2022 - [i1]Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan:
SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model. CoRR abs/2204.02130 (2022) - 2021
- [j23]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. 22-S(3): 431 (2021) - [j22]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): 1935-1946 (2021) - [j21]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): 1752-1762 (2021) - [c31]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: 97-103 - [c30]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: 201-208 - [c29]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: 222-230 - [c28]Si-Zhe Wan, Changan Yuan, Xiao Qin, Hongjie Wu:
Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification. ICIC (1) 2021: 264-273 - [c27]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: 336-344 - [c26]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: 385-395 - [c25]Wenhui Liu, Changan Yuan, Xiao Qin, Hongjie Wu:
Plant Leaf Recognition Network Based on Fine-Grained Visual Classification. ICIC (1) 2021: 526-534 - [c24]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: 627-633 - [c23]Weizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding, Xiaoyi Chen:
Membrane Protein Identification via Multiple Kernel Fuzzy SVM. ICIC (3) 2021: 634-646 - [c22]Hongjie Wu, Jiancheng Lv, Jian Wang:
Automatic Cataract Detection with Multi-Task Learning. IJCNN 2021: 1-8 - [c21]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: 441-451 - 2020
- [j20]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): 2052005:1-2052005:18 (2020) - [c20]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: 67-78 - [c19]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: 79-89 - [c18]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: 90-100 - [c17]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: 103-108 - [c16]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: 183-191 - [c15]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: 241-256 - [c14]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: 378-386 - [c13]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: 387-397
2010 – 2019
- 2019
- [j19]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. 20-S(25): 683 (2019) - [j18]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. 20-S(25): 684 (2019) - [j17]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. 20-S(25): 685 (2019) - [j16]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): 278-286 (2019) - [j15]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): 1951005:1-1951005:18 (2019) - [j14]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): 707-717 (2019) - [j13]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): 265-272 (2019) - [c12]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: 170-176 - [c11]Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang:
A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information. ICIC (2) 2019: 418-429 - [c10]Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding:
Research on RNA Secondary Structure Prediction Based on Decision Tree. ICIC (2) 2019: 430-439 - 2018
- [j12]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: 360-367 (2018) - [j11]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): 1859009:1-1859009:18 (2018) - [j10]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): 329-338 (2018) - [j9]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): 847-857 (2018) - [j8]Hongjie Wu, Chengyuan Cao, Xiaoyan Xia, Qiang Lv:
Unified Deep Learning Architecture for Modeling Biology Sequence. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1445-1452 (2018) - [c9]Ru Yang, Hongjie Wu, Qiming Fu, Tao Ding, Cheng Chen:
Optimizing HP Model Using Reinforcement Learning. ICIC (2) 2018: 383-388 - [c8]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: 595-599 - [c7]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: 703-707 - [c6]Hongjie Wu, Dadong Dai, Huaxiang Shen, Ru Yang, Weizhong Lu, Qiming Fu:
Optimizing GPCR Two-Dimensional Topology from Contact Map. ICIC (3) 2018: 740-745 - 2017
- [j7]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): 1106-1114 (2017) - [j6]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): 417-442 (2017) - [c5]Cheng Chen, Hongjie Wu, Kaihui Bian:
β-Barrel Transmembrane Protein Predicting Using Support Vector Machine. ICIC (3) 2017: 360-368 - 2016
- [c4]Ning Feng, Baochuan Fu, Hongjie Wu, Xiuhua Wang:
Modeling of fuzzy comprehensive evaluation based on cloud model. ICARCV 2016: 1-5 - [c3]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: 880-887 - 2015
- [c2]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: 730-736 - [c1]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: 529-537 - 2014
- [j5]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): S5 (2014) - 2013
- [j4]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): 1-13 (2013) - [j3]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: 486125:1-486125:12 (2013) - 2011
- [j2]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): 76-88 (2011)
2000 – 2009
- 2008
- [j1]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): 2268-2276 (2008)
Coauthor Index
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