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ORCIDZhe Wang 0002
Person information
- affiliation: East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China
- affiliation (PhD 2008): Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Engineering, China
Other persons with the same name
- Zhe Wang — disambiguation page
- Zhe Wang 0001
![[0000-0002-1367-7139]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1367-7139")
— Griffith University, School of Information and Communication Technology, Australia - Zhe Wang 0003 — Huawei Technologies Co. Ltd. (and 1 more)
- Zhe Wang 0004 — Columbia University, Department of Electrical Engineering, New York, NY, USA
- Zhe Wang 0005 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China (and 3 more)
- Zhe Wang 0006 — SenseTime Group Limited (and 1 more)
- Zhe Wang 0007 — Jilin University, College of Computer Science and Technology, Changchun, China
- Zhe Wang 0008 — University of Stuttgart, Institute of Parallel and Distributed Systems, Germany
- Zhe Wang 0009 — University of Reading, UK
- Zhe Wang 0010 — Tsinghua University, Graduate School at Shenzhen, China
- Zhe Wang 0011 — University of Chinese Academy of Sciences, Beijing, China
- Zhe Wang 0012 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, China
- Zhe Wang 0013 — University of California, Irvine, CA, USA (and 2 more)
- Zhe Wang 0014 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Zhe Wang 0015 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Zhe Wang 0016 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA
- Zhe Wang 0017 — University of Chinese Academy of Sciences, Institute of Computing Technology, Huairou, Beijing, China
- Zhe Wang 0018 — China Academy of Information and Communications Technology, Beijing, China (and 1 more)
- Zhe Wang 0019 — Peking University, Beijing, China
- Zhe Wang 0020 — University of Southern Caifornia, Los Angeles, CA, USA
- Zhe Wang 0021 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Zhe Wang 0022 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
- Zhe Wang 0023 — Intel, USA (and 2 more)
- Zhe Wang 0024 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China
- Zhe Wang 0025 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Zhe Wang 0026 — Northwestern Polytechnical University, Shaanxi Engineering Laboratory for Transmissions and Controls, Xi'an, China
- Zhe Wang 0027 — Tianjin University of Technology, Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, China
- Zhe Wang 0028 — Boston University, Bioinformatics Program, MA, USA
- Zhe Wang 0029 — Lincoln University, Christchurch, New Zealand (and 2 more)
- Zhe Wang 0030 — Duke University, Department of Mathematics, Durham, NC, USA
- Zhe Wang 0031 — Beijing University of Posts and Telecommunications, School of Cyberspace Security, China
- Zhe Wang 0032 — University of Toyama, Faculty of Engineering, Japan
- Zhe Wang 0033 — University of Waterloo, School of Computer Science, ON, Canada
- Zhe Wang 0034 — Qufu Normal University, Department of Physical Education, Rizhao, China
- Zhe Wang 0035 — Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power System, Beijing, China
- Zhe Wang 0036 — Oakland University, Department of Chemistry, Rochester, MI, USA (and 3 more)
- Zhe Wang 0037 — Guangxi University for Nationalities, Institute of Artificial Intelligence, Nanning, China (and 1 more)
- Zhe Wang 0038 — Beijing Jiaotong University, Institute of Information Science, China
- Zhe Wang 0039 — Central China Normal University, School of Public Administration, Wuhan, China
- Zhe Wang 0040 — Chongqing University, School of Big Data and Software Engineering, China
- Zhe Wang 0041 — Zhejiang University, Innovation Institute for Artificial Intelligence in Medicine, College of Pharmaceutical Sciences, Hangzhou, China
- Zhe Wang 0042 — University of Exeter, College of Engineering, Mathematics and Physical Sciences, Exeter, UK
- Zhe Wang 0043 — Xijing Hospital, Fourth Military Medical University, Xi'an, China
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2020 – today
- 2025
[j145]Wenyi Feng, Zhe Wang, Qian Zhang, Jiayi Gong, Xinlei Xu, Zhiling Fu:
Hybrid rotation self-supervision and feature space normalization for class incremental learning. Inf. Sci. 691: 121618 (2025)- 2024
- [j144]Yanbing Zhang, Ting Xiao, Zhe Wang, Xinru Wang, Wenyi Feng, Zhiling Fu, Hai Yang:
Relationship constraint deep metric learning. Appl. Intell. 54(8): 6654-6666 (2024) - [j143]Yanbing Zhang, Mengping Yang, Ting Xiao, Zhe Wang, Ziqiu Chi:
Freezing partial source representations matters for image inpainting under limited data. Eng. Appl. Artif. Intell. 133: 108072 (2024) - [j142]Dongdong Li, Zhuo Yang, Jinlin Liu, Hai Yang, Zhe Wang:
Emotion embedding framework with emotional self-attention mechanism for speaker recognition. Expert Syst. Appl. 238(Part F): 122244 (2024) - [j141]Wenyi Feng, Zhe Wang, Xiqing Cao, Bin Cai, Wei Guo, Weichao Ding:
Discriminative sparse subspace learning with manifold regularization. Expert Syst. Appl. 249: 123831 (2024) - [j140]Jing Zhang, Jiangpei Liu, Weichao Ding, Zhe Wang:
Object aroused emotion analysis network for image sentiment analysis. Knowl. Based Syst. 286: 111429 (2024) - [j139]Jing Zhang, Jiaqi Qu, Jiangpei Liu, Zhe Wang:
MCPL: Multi-model co-guided progressive learning for multimodal aspect-based sentiment analysis. Knowl. Based Syst. 301: 112331 (2024) - [j138]Hai Yang, Jing Yao, Zhe Wang, Yijing Yang:
Denoising for balanced representation: A diffusion-informed approach to causal effect estimation. Knowl. Based Syst. 305: 112647 (2024) - [j137]Wenyi Feng, Zhe Wang, Ting Xiao, Mengping Yang:
Adaptive weighted dictionary representation using anchor graph for subspace clustering. Pattern Recognit. 151: 110350 (2024) - [j136]Jing Zhang, Mingzhe Chen, Yunzuo Hu, Xinzhou Zhang, Zhe Wang:
BMPCN: A Bigraph Mutual Prototype Calibration Net for few-shot classification. Pattern Recognit. 156: 110841 (2024) - [j135]Yunfei Tong, Yue Leng, Hai Yang, Zhe Wang, Saisai Niu, Huabao Long:
Patch-Based Semantically Enhanced Network for IR Dim and Small Targets Background Suppression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9615-9627 (2024) - [j134]Yunfei Tong, Jing Liu, Zhiling Fu, Zhe Wang, Hai Yang, Saisai Niu, Qinyan Tan:
Guided Attention and Joint Loss for Infrared Dim Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j133]Yunfei Tong, Yue Leng, Hai Yang, Zhe Wang:
Target-Focused Enhancement Network for Distant Infrared Dim and Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j132]Hai Yang, Jing Liu, Zhe Wang, Zhiling Fu, Qinyan Tan, Saisai Niu:
MAPFF: Multiangle Pyramid Feature Fusion Network for Infrared Dim Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j131]Jing Zhang, Zhongjun Fang, Han Sun, Zhe Wang:
Adaptive Semantic-Enhanced Transformer for Image Captioning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1785-1796 (2024) - [j130]Dongdong Li, Li Xie, Zhe Wang, Hai Yang:
Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12979-12992 (2024) - [c20]Jing Zhang, Xiaoqiang Liu, Mingzhe Chen, Zhe Wang:
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering. AAAI 2024: 7151-7159 - [c19]Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang:
Attention Calibration for Disentangled Text-to-Image Personalization. CVPR 2024: 4764-4774 - [i7]Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang:
Attention Calibration for Disentangled Text-to-Image Personalization. CoRR abs/2403.18551 (2024) - 2023
- [j129]Wei Guo, Zhe Wang, Hai Yang, Wenli Du:
Multi-view dimensionality reduction learning with hierarchical sparse feature selection. Appl. Intell. 53(10): 12774-12791 (2023) - [j128]Wenyi Feng, Zhe Wang:
Multi-view multi-manifold learning with local and global structure preservation. Appl. Intell. 53(10): 12908-12924 (2023) - [j127]Jing Zhang, Zhongjun Fang, Zhe Wang:
Multi-feature fusion enhanced transformer with multi-layer fused decoding for image captioning. Appl. Intell. 53(11): 13398-13414 (2023) - [j126]Zhiling Fu, Dongfang Tang, Pingchuan Ma, Zhe Wang, Wen Gao:
Distributed few-shot learning with prototype distribution correction. Appl. Intell. 53(24): 30552-30565 (2023) - [j125]Hai Yang, Lipeng Gan, Rui Chen, Dongdong Li, Jing Zhang, Zhe Wang:
From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach. Briefings Bioinform. 24(1) (2023) - [j124]Hai Yang, Yawen Liu, Yijing Yang, Dongdong Li, Zhe Wang:
InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data. Briefings Bioinform. 24(5) (2023) - [j123]Dongdong Li, Zhuo Yang, Zhe Wang, Ming Hua:
SEC-GAN for robust speaker recognition with emotional state dismatch. Biomed. Signal Process. Control. 85: 105039 (2023) - [j122]Mengping Yang, Saisai Niu, Zhe Wang, Dongdong Li, Wenli Du:
DFSGAN: Introducing editable and representative attributes for few-shot image generation. Eng. Appl. Artif. Intell. 117(Part): 105519 (2023) - [j121]Mengping Yang, Xu Chu, Jingwen Zhu, Yonghui Xi, Saisai Niu, Zhe Wang:
Adaptive federated few-shot feature learning with prototype rectification. Eng. Appl. Artif. Intell. 126(Part D): 107125 (2023) - [j120]Xinlei Xu, Zhe Wang, Ziqiu Chi, Hai Yang, Wenli Du:
Complementary features based prototype self-updating for few-shot learning. Expert Syst. Appl. 214: 119067 (2023) - [j119]Dongdong Li, Nan Huang, Zhe Wang, Hai Yang:
Personalized Federated Continual Learning for Task-Incremental Biometrics. IEEE Internet Things J. 10(23): 20776-20788 (2023) - [j118]Zhe Wang, Yu Zhang, Xinlei Xu, Zhiling Fu, Hai Yang, Wenli Du:
Federated probability memory recall for federated continual learning. Inf. Sci. 629: 551-565 (2023) - [j117]Mengping Yang, Zhe Wang, Ziqiu Chi, Wenli Du:
ProtoGAN: Towards high diversity and fidelity image synthesis under limited data. Inf. Sci. 632: 698-714 (2023) - [j116]Maoye Ren, Zhe Wang, Xinhai Yu:
Personalized federated learning: A Clustered Distributed Co-Meta-Learning approach. Inf. Sci. 647: 119499 (2023) - [j115]Wei Guo, Zhe Wang, Ziqiu Chi, Xinlei Xu, Dongdong Li, Songyang Wu:
Scalable one-stage multi-view subspace clustering with dictionary learning. Knowl. Based Syst. 259: 110092 (2023) - [j114]Xinlei Xu, Saisai Niu, Zhe Wang, Wei Guo, Lihong Jing, Hai Yang:
Multi-feature space similarity supplement for few-shot class incremental learning. Knowl. Based Syst. 265: 110394 (2023) - [j113]Zhiling Fu, Zhe Wang, Xinlei Xu, Mengping Yang, Ziqiu Chi, Weichao Ding:
Semantic alignment with self-supervision for class incremental learning. Knowl. Based Syst. 282: 111114 (2023) - [j112]Jing Zhang, Yingshuai Xie, Kangkang Li, Zhe Wang, Wen Du:
Hierarchical decoding with latent context for image captioning. Neural Comput. Appl. 35(3): 2429-2442 (2023) - [j111]Xinlei Xu, Zhe Wang, Zhiling Fu, Wei Guo, Ziqiu Chi, Dongdong Li:
Flexible few-shot class-incremental learning with prototype container. Neural Comput. Appl. 35(15): 10875-10889 (2023) - [j110]Zhiling Fu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang:
Knowledge aggregation networks for class incremental learning. Pattern Recognit. 137: 109310 (2023) - [j109]Wei Guo, Zhe Wang, Wenli Du:
Robust semi-supervised multi-view graph learning with sharable and individual structure. Pattern Recognit. 140: 109565 (2023) - [j108]Dongdong Li, Zhuo Yang, Zhe Wang, Hai Yang:
Identity Retention and Emotion Converted StarGAN for low-resource emotional speaker recognition. Speech Commun. 151: 39-51 (2023) - [j107]Jing Zhang, Yingshuai Xie, Weichao Ding, Zhe Wang:
Cross on Cross Attention: Deep Fusion Transformer for Image Captioning. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4257-4268 (2023) - [j106]Zhe Wang, Tao Zang, Zhiling Fu, Hai Yang, Wenli Du:
RLPGB-Net: Reinforcement Learning of Feature Fusion and Global Context Boundary Attention for Infrared Dim Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j105]Ziqiu Chi, Zhe Wang, Bolu Wang, Zhongli Fang, Zonghai Zhu, Dongdong Li, Wenli Du:
Multiple Kernel Subspace Learning for Clustering and Classification. IEEE Trans. Knowl. Data Eng. 35(7): 7278-7290 (2023) - [j104]Tianhao Gu, Zhe Wang, Zhongli Fang, Zonghai Zhu, Hai Yang, Dongdong Li, Wenli Du:
Multilabel Convolutional Network With Feature Denoising and Details Supplement. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8349-8361 (2023) - [j103]Tianhao Gu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang, Wenli Du:
Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition. IEEE Trans. Neural Networks Learn. Syst. 34(12): 11021-11028 (2023) - [c18]Wenyi Feng, Wei Guo, Ting Xiao, Zhe Wang:
Robust Structured Sparse Subspace Clustering with Neighborhood Preserving Projection. ICME 2023: 1781-1786 - [c17]Zhengji Xuan, Dongdong Li, Zhe Wang, Hai Yang:
Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition. IJCNN 2023: 1-8 - [c16]Zhongliang Zeng, Dongdong Li, Zhe Wang, Hai Yang:
Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition. IJCNN 2023: 1-8 - [c15]Zhe Wang, Jiaoyan Guan, Mengping Yang, Ting Xiao, Ziqiu Chi:
Semantic-Aware Generator and Low-level Feature Augmentation for Few-shot Image Generation. ACM Multimedia 2023: 5079-5088 - [c14]Mengping Yang, Zhe Wang, Wenyi Feng, Qian Zhang, Ting Xiao:
Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation. ACM Multimedia 2023: 7837-7848 - [i6]Mengping Yang, Zhe Wang:
Image Synthesis under Limited Data: A Survey and Taxonomy. CoRR abs/2307.16879 (2023) - [i5]Mengping Yang, Zhe Wang, Wenyi Feng, Qian Zhang, Ting Xiao:
Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation. CoRR abs/2308.16110 (2023) - 2022
- [j102]Zhe Wang, Xu Chu, Dongdong Li, Hai Yang, Weichao Qu:
Cost-sensitive matrixized classification learning with information entropy. Appl. Soft Comput. 116: 108266 (2022) - [j101]Dongdong Li, Li Xie, Bing Chai, Zhe Wang, Hai Yang:
Spatial-frequency convolutional self-attention network for EEG emotion recognition. Appl. Soft Comput. 122: 108740 (2022) - [j100]Xinlei Xu, Saisai Niu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du:
Client selection based weighted federated few-shot learning. Appl. Soft Comput. 128: 109488 (2022) - [j99]Xinlei Xu, Dongdong Li, Yijun Zhou, Zhe Wang:
Multi-type features separating fusion learning for Speech Emotion Recognition. Appl. Soft Comput. 130: 109648 (2022) - [j98]Dongdong Li, Jinlin Liu, Zhe Wang, Yanqiong Li, Baijun Chen, Lizhi Cai:
TRSD: A Time-Varying and Region-Changed Speech Database for Speaker Recognition. Circuits Syst. Signal Process. 41(7): 3931-3956 (2022) - [j97]Zhe Wang, Pingchuan Ma, Ziqiu Chi, Dongdong Li, Hai Yang, Wenli Du:
Multi-attention mutual information distributed framework for few-shot learning. Expert Syst. Appl. 202: 117062 (2022) - [j96]Ziqiu Chi, Zhe Wang, Wenli Du:
Heterogeneous Federated Meta-Learning With Mutually Constrained Propagation. IEEE Intell. Syst. 37(2): 44-54 (2022) - [j95]Wei Guo, Zhe Wang, Menghao Ma, Lilong Chen, Hai Yang, Dongdong Li, Wenli Du:
Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization. Int. J. Intell. Syst. 37(2): 1674-1696 (2022) - [j94]Dongdong Li, Xinlei Xu, Zhe Wang, Chenjie Cao, Minguang Wang:
Boundary-based Fuzzy-SVDD for one-class classification. Int. J. Intell. Syst. 37(3): 2266-2292 (2022) - [j93]Wei Guo, Zhe Wang, Wenli Du:
Pseudolabel-guided multiview consensus graph learning for semisupervised classification. Int. J. Intell. Syst. 37(11): 8611-8634 (2022) - [j92]Jing Zhang, Xinyu Liu, Mei Chen, Qi Ye, Zhe Wang:
Image sentiment classification via multi-level sentiment region correlation analysis. Neurocomputing 469: 221-233 (2022) - [j91]Mengping Yang, Zhe Wang, Yanqiong Li, Yangming Zhou, Dongdong Li, Wenli Du:
Gravitation balanced multiple kernel learning for imbalanced classification. Neural Comput. Appl. 34(16): 13807-13823 (2022) - [j90]Zhe Wang, Qida Dong, Wei Guo, Dongdong Li, Jing Zhang, Wenli Du:
Geometric imbalanced deep learning with feature scaling and boundary sample mining. Pattern Recognit. 126: 108564 (2022) - [j89]Zhe Wang, Zhongli Fang, Dongdong Li, Hai Yang, Wenli Du:
Semantic Supplementary Network With Prior Information for Multi-Label Image Classification. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1848-1859 (2022) - [j88]Jing Zhang, Xinyu Liu, Zhe Wang, Hai Yang:
Graph-Based Object Semantic Refinement for Visual Emotion Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3036-3049 (2022) - [j87]Ziqiu Chi, Zhe Wang, Mengping Yang, Dongdong Li, Wenli Du:
Learning to Capture the Query Distribution for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4163-4173 (2022) - [j86]Jing Zhang, Xinzhou Zhang, Zhe Wang:
Task Encoding With Distribution Calibration for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6240-6252 (2022) - [j85]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du:
Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data. IEEE Trans. Cybern. 52(4): 2407-2417 (2022) - [j84]Ziqiu Chi, Zhe Wang, Wenli Du:
Explicit Metric-Based Multiconcept Multi-Instance Learning With Triplet and Superbag. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5888-5897 (2022) - [c13]Lei Zhang, Yijing Yang, Zhe Wang, Dongdong Li, Jingping Liu, Hai Yang:
CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data. BIBM 2022: 3223-3227 - [c12]Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng:
WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation. ECCV (15) 2022: 1-17 - [c11]Ziqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu:
Better Embedding and More Shots for Few-shot Learning. IJCAI 2022: 2874-2880 - [c10]Mengping Yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang:
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data. NeurIPS 2022 - [i4]Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng:
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation. CoRR abs/2207.07288 (2022) - [i3]Hai Yang, Yuhang Sheng, Yi Jiang, Xiaoyang Fang, Dongdong Li, Jing Zhang, Zhe Wang:
Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data. CoRR abs/2207.14639 (2022) - [i2]Mengping Yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang:
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data. CoRR abs/2210.05461 (2022) - 2021
- [j83]Zhe Wang, Peng Jia, Xinlei Xu, Bolu Wang, Yujin Zhu, Dongdong Li:
Sample and feature selecting based ensemble learning for imbalanced problems. Appl. Soft Comput. 113(Part): 107884 (2021) - [j82]Hai Yang, Rui Chen, Dongdong Li, Zhe Wang:
Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data. Bioinform. 37(16): 2231-2237 (2021) - [j81]Wei Guo, Zhe Wang, Sisi Hong, Dongdong Li, Hai Yang, Wen Du:
Multi-kernel Support Vector Data Description with boundary information. Eng. Appl. Artif. Intell. 102: 104254 (2021) - [j80]Tianhao Gu, Zhe Wang, Ziqiu Chi, Yiwen Zhu, Wenli Du:
Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter. Eng. Appl. Artif. Intell. 106: 104488 (2021) - [j79]Dongdong Li, Jinlin Liu, Zhuo Yang, Linyu Sun, Zhe Wang:
Speech emotion recognition using recurrent neural networks with directional self-attention. Expert Syst. Appl. 173: 114683 (2021) - [j78]Jing Zhang, Kangkang Li, Zhenkun Wang, Xianwen Zhao, Zhe Wang:
Visual enhanced gLSTM for image captioning. Expert Syst. Appl. 184: 115462 (2021) - [j77]Dongdong Li, Ziqiu Chi, Bolu Wang, Zhe Wang, Hai Yang, Wenli Du:
Entropy-based hybrid sampling ensemble learning for imbalanced data. Int. J. Intell. Syst. 36(7): 3039-3067 (2021) - [j76]Dongdong Li, Yijun Zhou, Zhe Wang, Daqi Gao:
Exploiting the potentialities of features for speech emotion recognition. Inf. Sci. 548: 328-343 (2021) - [j75]Jing Zhang, Kangkang Li, Zhe Wang:
Parallel-fusion LSTM with synchronous semantic and visual information for image captioning. J. Vis. Commun. Image Represent. 75: 103044 (2021) - [j74]Yangming Zhou, Zhe Wang, Yan Jin, Zhang-Hua Fu:
Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs. Knowl. Based Syst. 211: 106562 (2021) - [j73]Dongdong Li, Linyu Sun, Xinlei Xu, Zhe Wang, Jing Zhang, Wenli Du:
BLSTM and CNN Stacking Architecture for Speech Emotion Recognition. Neural Process. Lett. 53(6): 4097-4115 (2021) - [j72]Dongdong Li, Bing Chai, Zhe Wang, Hai Yang, Wenli Du:
EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks. IEEE Trans. Cogn. Dev. Syst. 13(4): 885-897 (2021) - [j71]Tianhao Gu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du, Yangming Zhou:
OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video. IEEE Trans. Cogn. Dev. Syst. 13(4): 995-1009 (2021) - [j70]Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai:
Variable Population Memetic Search: A Case Study on the Critical Node Problem. IEEE Trans. Evol. Comput. 25(1): 187-200 (2021) - [j69]Zhe Wang, Tianhao Gu, Yiwen Zhu, Dongdong Li, Hai Yang, Wenli Du:
FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition. IEEE J. Biomed. Health Informatics 25(7): 2533-2544 (2021) - 2020
- [j68]Zhe Wang, Yiwen Zhu, Dongdong Li, Yichao Yin, Jing Zhang:
Feature rearrangement based deep learning system for predicting heart failure mortality. Comput. Methods Programs Biomed. 191: 105383 (2020) - [j67]Zhe Wang, Sisi Hong, Lijuan Yao, Dongdong Li, Wenli Du, Jing Zhang:
Multiple Universum Empirical Kernel Learning. Eng. Appl. Artif. Intell. 89: 103461 (2020) - [j66]Zhe Wang, Lilong Chen, Qi Fan, Dongdong Li, Daqi Gao:
Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems. Eng. Appl. Artif. Intell. 90: 103535 (2020) - [j65]Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang:
Global and local multi-view multi-label learning. Neurocomputing 371: 67-77 (2020) - [j64]Zhe Wang, Bolu Wang, Yangming Zhou, Dongdong Li, Yichao Yin:
Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction. J. Biomed. Informatics 101: 103340 (2020) - [j63]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du:
NearCount: Selecting critical instances based on the cited counts of nearest neighbors. Knowl. Based Syst. 190: 105196 (2020) - [j62]Jing Zhang, Mei Chen, Han Sun, Dongdong Li, Zhe Wang:
Object semantics sentiment correlation analysis enhanced image sentiment classification. Knowl. Based Syst. 191: 105245 (2020) - [j61]Zhe Wang, Yanqiong Li, Dongdong Li, Zonghai Zhu, Wenli Du:
Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem. Knowl. Based Syst. 193: 105474 (2020) - [j60]Zhe Wang, Zhaozhi Chen, Yiwen Zhu, Jing Zhang, Wenli Du, Dongdong Li:
Multi-matrices entropy discriminant ensemble learning for imbalanced problem. Neural Comput. Appl. 32(12): 8245-8264 (2020) - [j59]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Jing Zhang:
Efficient matrixized classification learning with separated solution process. Neural Comput. Appl. 32(14): 10609-10632 (2020) - [j58]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Yangming Zhou:
Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting. Neural Networks 123: 26-37 (2020) - [j57]Hai Yang, Qiang Wei, Dongdong Li, Zhe Wang:
Cancer classification based on chromatin accessibility profiles with deep adversarial learning model. PLoS Comput. Biol. 16(11): 1008405 (2020) - [j56]Zhe Wang, Zonghai Zhu, Dongdong Li:
Collaborative and geometric multi-kernel learning for multi-class classification. Pattern Recognit. 99 (2020) - [j55]Zonghai Zhu, Zhe Wang, Dongdong Li, Yujin Zhu, Wenli Du:
Geometric Structural Ensemble Learning for Imbalanced Problems. IEEE Trans. Cybern. 50(4): 1617-1629 (2020) - [j54]Zhe Wang, Chenjie Cao, Yujin Zhu:
Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5178-5191 (2020)
2010 – 2019
- 2019
- [j53]Zhe Wang, Yiwen Zhu, Zhaozhi Chen, Jing Zhang, Wenli Du:
Multi-view learning with fisher kernel and bi-bagging for imbalanced problem. Appl. Intell. 49(8): 3109-3122 (2019) - [j52]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du:
Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems. Appl. Soft Comput. 76: 221-236 (2019) - [j51]Jing Zhang, Ti Tao, Yakun Mu, Han Sun, Dongdong Li, Zhe Wang:
Web image annotation based on Tri-relational Graph and semantic context analysis. Eng. Appl. Artif. Intell. 81: 313-322 (2019) - [j50]Zhe Wang, Bolu Wang, Yang Cheng, Dongdong Li, Jing Zhang:
Cost-sensitive Fuzzy Multiple Kernel Learning for imbalanced problem. Neurocomputing 366: 178-193 (2019) - [j49]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du:
Tree-based space partition and merging ensemble learning framework for imbalanced problems. Inf. Sci. 503: 1-22 (2019) - [j48]Jing Zhang, Zhenkun Wang, Yakun Mu, Zhe Wang:
Image region label refinement using spatial position relation graph. Knowl. Based Syst. 166: 82-91 (2019) - [j47]Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding:
Semi-supervised one-pass multi-view learning. Neural Comput. Appl. 31(11): 8117-8134 (2019) - [j46]Qi Fan, Zhe Wang, Daqi Gao:
Locality Density-Based Fuzzy Multiple Empirical Kernel Learning. Neural Process. Lett. 49(3): 1485-1509 (2019) - [c9]Bolu Wang, Dongdong Li, Zhe Wang:
Multiple Empirical Kernel Learning with Discriminant Locality Preservation. ACML 2019: 80-93 - [c8]Jing Zhang, Han Sun, Zhe Wang, Tong Ruan:
Another Dimension: Towards Multi-subnet Neural Network for Image Sentiment Analysis. ICME 2019: 1126-1131 - [c7]Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao:
Support Vector Data Description with Fractional Order Kernel. ICMLT 2019: 58-65 - [i1]Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai:
Variable Population Memetic Search: A Case Study on the Critical Node Problem. CoRR abs/1909.08691 (2019) - 2018
- [j45]Dongdong Li, Zhe Wang, Chenjie Cao, Yu Liu:
Information entropy based sample reduction for support vector data description. Appl. Soft Comput. 71: 1153-1160 (2018) - [j44]Zhe Wang, Lijuan Yao, Dongdong Li, Tong Ruan, Min Liu, Ju Gao:
Mortality prediction system for heart failure with orthogonal relief and dynamic radius means. Int. J. Medical Informatics 115: 10-17 (2018) - [j43]Zhe Wang, Zonghai Zhu:
Matrix-pattern-oriented classifier with boundary projection discrimination. Knowl. Based Syst. 149: 1-17 (2018) - [j42]Chenjie Cao, Zhe Wang:
IMCStacking: Cost-sensitive stacking learning with feature inverse mapping for imbalanced problems. Knowl. Based Syst. 150: 27-37 (2018) - [j41]Yujin Zhu, Zhe Wang, Chenjie Cao, Daqi Gao:
Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems. Knowl. Based Syst. 150: 57-73 (2018) - [j40]Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao:
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2581-2594 (2018) - [c6]Dongdong Li, Linyu Sun, Zhe Wang, Jing Zhang:
Entropy Based Boundary-Eliminated Pseudo-Inverse Linear Discriminant for Speech Emotion Recognition. PCM (2) 2018: 674-685 - 2017
- [j39]Yujin Zhu, Zhe Wang, Daqi Gao, Dongdong Li:
GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction. Eng. Appl. Artif. Intell. 65: 421-432 (2017) - [j38]Qi Fan, Zhe Wang, Dongdong Li, Daqi Gao, Hongyuan Zha:
Entropy-based fuzzy support vector machine for imbalanced datasets. Knowl. Based Syst. 115: 87-99 (2017) - [j37]Zhe Wang, Guowei Zhang, Dongdong Li, Yujin Zhu, Chenjie Cao:
Locality sensitive discriminant matrixized learning machine. Knowl. Based Syst. 116: 13-25 (2017) - [j36]Dongdong Li, Yujin Zhu, Zhe Wang, Chuanyu Chong, Daqi Gao:
Regularized Matrix-Pattern-Oriented Classification Machine with Universum. Neural Process. Lett. 45(3): 1077-1098 (2017) - [j35]Qi Fan, Zhe Wang, Hongyuan Zha, Daqi Gao:
MREKLM: A fast multiple empirical kernel learning machine. Pattern Recognit. 61: 197-209 (2017) - [j34]Changming Zhu, Zhe Wang:
Entropy-based matrix learning machine for imbalanced data sets. Pattern Recognit. Lett. 88: 72-80 (2017) - 2016
- [j33]Qi Fan, Zhe Wang, Daqi Gao:
One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem. Eng. Appl. Artif. Intell. 53: 62-73 (2016) - [j32]Changming Zhu, Zhe Wang, Daqi Gao:
New design goal of a classifier: Global and local structural risk minimization. Knowl. Based Syst. 100: 25-49 (2016) - [j31]Qi Fan, Daqi Gao, Zhe Wang:
Multiple empirical kernel learning with locality preserving constraint. Knowl. Based Syst. 105: 107-118 (2016) - [j30]Yujin Zhu, Zhe Wang, Daqi Gao:
Matrixized Learning Machine with Feature-Clustering Interpolation. Neural Process. Lett. 44(2): 291-306 (2016) - 2015
- [j29]Zhe Wang, Qi Fan, Daqi Gao:
Multiple Empirical Kernel Learning with dynamic pairwise constraints. Appl. Soft Comput. 30: 14-25 (2015) - [j28]Changming Zhu, Zhe Wang, Daqi Gao:
Globalized and localized canonical correlation analysis with multiple empirical kernel mapping. Neurocomputing 154: 257-275 (2015) - [j27]Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng:
Double-fold localized multiple matrixized learning machine. Inf. Sci. 295: 196-220 (2015) - [j26]Zhe Wang, Qi Fan, Sheng Ke, Daqi Gao:
Structural multiple empirical kernel learning. Inf. Sci. 301: 124-140 (2015) - [j25]Qi Fan, Zhe Wang, Daqi Gao, Dongdong Li:
MPEKDyL: Efficient multi-partial empirical kernel dynamic learning. Knowl. Based Syst. 77: 40-55 (2015) - [j24]Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao:
McMatMHKS: A direct multi-class matrixized learning machine. Knowl. Based Syst. 88: 184-194 (2015) - [j23]Yujin Zhu, Zhe Wang, Daqi Gao:
Gravitational fixed radius nearest neighbor for imbalanced problem. Knowl. Based Syst. 90: 224-238 (2015) - [j22]Zhe Wang, Qi Fan, Wenbo Jie, Daqi Gao:
An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection. Neural Process. Lett. 42(3): 715-744 (2015) - [j21]Yujin Zhu, Zhe Wang, Daqi Gao:
Matrixized learning machine with modified pairwise constraints. Pattern Recognit. 48(11): 3797-3809 (2015) - 2014
- [j20]Zhe Wang, Yujin Zhu, Daqi Gao, Weibin Guo:
Globalized and localized matrix-pattern-oriented classification machine. Appl. Soft Comput. 25: 379-390 (2014) - [j19]Zhe Wang, Mingzhe Lu, Zengxin Niu, Xiangyang Xue, Daqi Gao:
Cost-Sensitive Multi-View Learning Machine. Int. J. Pattern Recognit. Artif. Intell. 28(3) (2014) - [j18]Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng:
Multi-kernel classification machine with reduced complexity. Knowl. Based Syst. 65: 83-95 (2014) - [j17]Zhe Wang, Yujin Zhu, Wenwen Liu, Zhihua Chen, Daqi Gao:
Multi-view learning with Universum. Knowl. Based Syst. 70: 376-391 (2014) - 2013
- [j16]Zhe Wang, Wenbo Jie, Daqi Gao:
A novel multiple Nyström-approximating kernel discriminant analysis. Neurocomputing 119: 385-398 (2013) - [j15]Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao:
Random projection ensemble learning with multiple empirical kernels. Knowl. Based Syst. 37: 388-393 (2013) - [j14]Zhe Wang, Xisheng He, Daqi Gao, Xiangyang Xue:
An efficient Kernel-based matrixized least squares support vector machine. Neural Comput. Appl. 22(1): 143-150 (2013) - [j13]Zhe Wang, Jin Xu, Daqi Gao, Yu Fu:
Multiple empirical kernel learning based on local information. Neural Comput. Appl. 23(7-8): 2113-2120 (2013) - [j12]Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen:
Three-fold structured classifier design based on matrix pattern. Pattern Recognit. 46(6): 1532-1555 (2013) - 2012
- [j11]Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao:
Regularized multi-view learning machine based on response surface technique. Neurocomputing 97: 201-213 (2012) - [j10]Xisheng He, Zhe Wang, Cheng Jin, Yingbin Zheng, Xiangyang Xue:
A simplified multi-class support vector machine with reduced dual optimization. Pattern Recognit. Lett. 33(1): 71-82 (2012) - 2011
- [j9]Zhe Wang, Songcan Chen, Daqi Gao:
A novel multi-view classifier based on Nyström approximation. Expert Syst. Appl. 38(9): 11193-11200 (2011) - [j8]Zhe Wang, Songcan Chen, Daqi Gao:
A novel multi-view learning developed from single-view patterns. Pattern Recognit. 44(10-11): 2395-2413 (2011) - 2010
- [j7]Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan:
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization. Neural Process. Lett. 31(3): 159-175 (2010) - [c5]Zhe Wang, Daqi Gao:
Discriminant Support Vector Data Description. IWACI 2010: 97-100 - [c4]Zhe Wang, Rui Han, Zhisong Pan, Xuelei Ni:
A novel DoubleMinOver classifier based On second-order tensor. ICNC 2010: 1053-1057 - [c3]Zhe Wang, Daqi Gao, Zhisong Pan:
An Effective Support Vector Data Description with Relevant Metric Learning. ISNN (2) 2010: 42-51
2000 – 2009
- 2009
- [j6]Zhe Wang, Songcan Chen:
Multi-view kernel machine on single-view data. Neurocomputing 72(10-12): 2444-2449 (2009) - [c2]Zhe Wang, Songcan Chen, Zhisong Pan, Xuelei Ni:
Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping. CSIE (3) 2009: 689-693 - [c1]Zhe Wang, Songcan Chen, Daqi Gao:
A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. ISNN (4) 2009: 441-449 - 2008
- [j5]Zhe Wang, Songcan Chen, Tingkai Sun:
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 348-353 (2008) - [j4]Zhe Wang, Songcan Chen:
Matrix-pattern-oriented least squares support vector classifier with AdaBoost. Pattern Recognit. Lett. 29(6): 745-753 (2008) - [j3]Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang:
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. IEEE Trans. Neural Networks 19(5): 758-769 (2008) - 2007
- [j2]Zhe Wang, Songcan Chen:
New Least Squares Support Vector Machines Based on Matrix Patterns. Neural Process. Lett. 26(1): 41-56 (2007) - [j1]Songcan Chen, Zhe Wang, Yongjun Tian:
Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning. Pattern Recognit. 40(5): 1533-1543 (2007)
Coauthor Index
[j142] [j130] [j125] [j124] [j123] [j122] [j119] [j115] [j111] [j110] [j108] [j105] [j104] [j103] [c17] [c16] [j102] [j101] [j100] [j99] [j98] [j97] [j95] [j94] [j91] [j90] [j89] [j87] [j85] [c13] [i3] [j83] [j82] [j81] [j79] [j77] [j76] [j73] [j72] [j71] [j69] [j68] [j67] [j66] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j52] [j51] [j50] [j49] [c9] [j45] [j44] [c6] [j39] [j38] [j37] [j36] [j25]
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