Zhe Wang

213 papers A* 8A 2B 3C 1Misc 1Journal 188Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep multi-modal fusion transformer for emotion recognition.
Eng. Appl. Artif. Intell.
Qian Zhang, Yifan Liu, Biaokai Zhu, Xun Han, Ruilin Zhang, Jun Xiao, Zhe Wang
2026 J jnl
DepressInstruct: Instruction tuning of large speech-language models for depression detection.
Inf. Fusion
Dongdong Li, Li Ding, Zhe Wang, Ke Zhao
2026 J jnl
FAD3QN: A Brain-Inspired Deep Reinforcement Learning Model for Speech Depression Detection.
IEEE Trans. Comput. Soc. Syst.
Dongdong Li, Jia Yao, Zhe Wang, Yichao Yin
2026 J jnl
Improving episodic few-shot visual question answering via spatial and frequency domain dual-calibration.
Pattern Recognit.
Jing Zhang, Yifan Wei, Yunzuo Hu, Zhe Wang
2026 J jnl
MMFC-PFL: Multimodal Feature Collaborative Personalized Federated Learning.
IEEE Trans. Netw. Sci. Eng.
Dongdong Li, Zhenqiang Weng, Jia Yao, Zhengji Xuan, Zhe Wang
2026 J jnl
MSCFNet: mixed-scale context fusion network for medical image segmentation.
Appl. Intell.
Lingyi Xu, Dongfang Tang, Ting Xiao, Hao Wang, Zhe Wang, Wen Gao
2026 J jnl
Structure anchor graph learning for multi-view clustering.
Pattern Recognit.
Wei Guo, Zhe Wang, Wei Shao
2026 J jnl
Training-Free Self-Correction for Multimodal Masked Diffusion Models.
CoRR
Yidong Ouyang, Panwen Hu, Zhengyan Wan, Zhe Wang, Liyan Xie, Dmitriy Bespalov, Ying Nian Wu, Guang Cheng, Hongyuan Zha, Qiang Sun
2026 J jnl
Unsupervised Skill Discovery Through Skill Regions Differentiation.
IEEE Trans. Neural Networks Learn. Syst.
Ting Xiao, Jiakun Zheng, Rushuai Yang, Kang Xu, Qiaosheng Zhang, Peng Liu, Zhe Wang, Chenjia Bai
2025 J jnl
Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data.
CoRR
Mengping Yang, Zhe Wang, Ziqiu Chi, Dongdong Li, Wenli Du
2025 J jnl
BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhiling Fu, Zhe Wang, Xinlei Xu, Wei Guo, Ziqiu Chi, Hai Yang, Wenli Du
2025 J jnl
Brain topographic map: A visual feature for multi-view fusion design in EEG-based biometrics.
Digit. Signal Process.
Dongdong Li, Zhongliang Zeng, Nan Huang, Zhe Wang, Hai Yang
2025 J jnl
Cross-modal heterogeneous graph reasoning network for visual question answering.
Neural Comput. Appl.
Jing Zhang, Jiong Teng, Weichao Ding, Zhe Wang
2025 J jnl
Deep Reciprocal Learning for Image Captioning.
IEEE Trans. Circuits Syst. Video Technol.
Jing Zhang, Kaixuan Zhang, Yingshuai Xie, Zhe Wang
2025 J jnl
Double Confidence Calibration Focused Distillation for Task-Incremental Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhiling Fu, Zhe Wang, Chengwei Yu, Xinlei Xu, Dongdong Li
2025 A* conf
Dual-Prototype Learning in Multiple Instance Learning for Histopathology Image Classification.
ACM Multimedia
Ting Xiao, Minqian Sun, Yiqing Xia, Zhe Wang
2025 J jnl
EEG Emotion Recognition Based on an Implicit Emotion Regulatory Mechanism.
IEEE Trans. Artif. Intell.
Dongdong Li, Zhishuo Jin, Yujun Shen, Zhe Wang, Suo Jiang
2025 J jnl
Efficient extended-graph multi-matrices subspace learning: Toward meta-similarity and efficiency promotion.
Eng. Appl. Artif. Intell.
Maoye Ren, Zhe Wang, Xinhai Yu
2025 B conf
Few-Shot Adaptive Diffusion with Semantic Injection and Parameter Smoothing.
ICMR
Yunjie Cai, Ting Xiao, Yanbing Zhang, Zhe Wang
2025 J jnl
Fusion of global and adaptive local information for few-shot image classification.
Pattern Recognit.
Ting Xiao, Yiqing Xia, Ruiqi Tang, Wenli Du, Zhe Wang
2025 J jnl
Hybrid rotation self-supervision and feature space normalization for class incremental learning.
Inf. Sci.
Wenyi Feng, Zhe Wang, Qian Zhang, Jiayi Gong, Xinlei Xu, Zhiling Fu
2025 J jnl
Image Synthesis Under Limited Data: A Survey and Taxonomy.
Int. J. Comput. Vis.
Mengping Yang, Zhe Wang
2025 J jnl
Latent Attention Network With Position Perception for Visual Question Answering.
IEEE Trans. Neural Networks Learn. Syst.
Jing Zhang, Xiaoqiang Liu, Zhe Wang
2025 J jnl
Local-Global Geometric Information and View Complementarity Introduced Multiview Metric Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xinlei Xu, Zhe Wang, Shuangyan Ren, Saisai Niu, Dongdong Li
2025 J jnl
Low-Rank Representation with Empirical Kernel Space Embedding of Manifolds.
Neural Networks
Wenyi Feng, Zhe Wang, Ting Xiao
2025 — conf
MMMNet: Multimodal Feature Fusion and Multilevel Representation Merging for Pulmonary Nodule Classification.
BIBM
Haihua Huang, Fan Yang, Dongfang Tang, Ting Xiao, Hai Yang, Zhe Wang, Wen Gao
2025 J jnl
MSMF-MIL: Multi-Scale Mixed Feature-Based Multiple Instance Learning for Speech Emotion Recognition.
IEEE Trans. Consumer Electron.
Dongdong Li, Hongmei Yang, Zihan Song, Zhe Wang
2025 J jnl
Multi-view prototype balance and temporary proxy constraint for exemplar-free class-incremental learning.
Appl. Intell.
Heng Tian, Qian Zhang, Zhe Wang, Yu Zhang, Xinlei Xu, Zhiling Fu
2025 J jnl
Neuron Perception Inspired EEG Emotion Recognition With Parallel Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Dongdong Li, Shengyao Huang, Li Xie, Zhe Wang, Jiazhen Xu
2025 — conf
Online Iterative Self-Alignment for Radiology Report Generation.
ACL (1)
Ting Xiao, Lei Shi, Yang Zhang, HaoFeng Yang, Zhe Wang, Chenjia Bai
2025 A* conf
Radiology Report Generation via Multi-objective Preference Optimization.
AAAI
Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, Chenjia Bai
2025 J jnl
Resource-efficient cross-subject emotion recognition from electroencephalogram via spiking domain discriminators.
Eng. Appl. Artif. Intell.
Dongdong Li, Shengyao Huang, Yujun Shen, Zhe Wang
2025 J jnl
Saccade and purify: Task adapted multi-view feature calibration network for few shot learning.
Neural Networks
Jing Zhang, Yunzuo Hu, Xinzhou Zhang, Mingzhe Chen, Zhe Wang
2025 J jnl
Scale-Wise Semantic Alignment Enhanced Multigrained Adaptive Fusion for Virtual Try-On.
IEEE Trans. Neural Networks Learn. Syst.
Jing Zhang, Yumo Kang, Wenxuan Liu, Zhe Wang
2025 J jnl
Semantic Mask Reconstruction and Category Semantic Learning for few-shot image generation.
Neural Networks
Ting Xiao, Yunjie Cai, Jiaoyan Guan, Zhe Wang
2025 J jnl
TFCTL: Time-Frequency Calibrated Transfer Learning for cross domain depression detection.
Eng. Appl. Artif. Intell.
Dongdong Li, Li Ding, Zuo Yang, Zhe Wang, Ke Zhao
2025 J jnl
Trans-Driver: A Deep Learning Approach for Cancer Driver Gene Discovery With Multi-Omics Data.
IEEE Trans. Comput. Biol. Bioinform.
Hai Yang, Zhenbei Yang, Lei Zhang, Yijing Yang, Dan Zhou, Dongdong Li, Jing Zhang, Zhe Wang
2025 J jnl
Transductive Parameter-Free Propagation Framework for Few-Shot Distribution Rectification.
IEEE Trans. Neural Networks Learn. Syst.
Heng Tian, Ziqiu Chi, Zhe Wang, Wei Guo, Mengping Yang, Xinlei Xu
2025 J jnl
Translating image into labels: End-to-End and scalable multi-label image classifier with language transformer.
Eng. Appl. Artif. Intell.
Heng Tian, Qin Zhou, Zhe Wang, Qian Zhang, Xinlei Xu, Zhiling Fu
2025 J jnl
VSNet: classification of pulmonary nodules in 3D using vision transformer and sequence spatial attention mechanism.
Multim. Tools Appl.
Dongfang Tang, Ting Xiao, Fan Yang, Conghao Zhang, Zhe Wang, Wen Gao
2024 J jnl
Adaptive Semantic-Enhanced Transformer for Image Captioning.
IEEE Trans. Neural Networks Learn. Syst.
Jing Zhang, Zhongjun Fang, Han Sun, Zhe Wang
2024 J jnl
Adaptive weighted dictionary representation using anchor graph for subspace clustering.
Pattern Recognit.
Wenyi Feng, Zhe Wang, Ting Xiao, Mengping Yang
2024 A* conf
Attention Calibration for Disentangled Text-to-Image Personalization.
CVPR
Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang
2024 J jnl
Attention Calibration for Disentangled Text-to-Image Personalization.
CoRR
Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang
2024 J jnl
BMPCN: A Bigraph Mutual Prototype Calibration Net for few-shot classification.
Pattern Recognit.
Jing Zhang, Mingzhe Chen, Yunzuo Hu, Xinzhou Zhang, Zhe Wang
2024 J jnl
Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Dongdong Li, Li Xie, Zhe Wang, Hai Yang
2024 A* conf
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering.
AAAI
Jing Zhang, Xiaoqiang Liu, Mingzhe Chen, Zhe Wang
2024 J jnl
DRSCDM: A Novel Density-Related Clustering for Complex High-Dimensional Data Streams.
IEEE Trans. Circuits Syst. Video Technol.
Dongdong Li, Yihan Fan, Zhe Wang
2024 J jnl
Denoising for balanced representation: A diffusion-informed approach to causal effect estimation.
Knowl. Based Syst.
Hai Yang, Jing Yao, Zhe Wang, Yijing Yang
2024 J jnl
Discriminative sparse subspace learning with manifold regularization.
Expert Syst. Appl.
Wenyi Feng, Zhe Wang, Xiqing Cao, Bin Cai, Wei Guo, Weichao Ding
2024 J jnl
Emotion embedding framework with emotional self-attention mechanism for speaker recognition.
Expert Syst. Appl.
Dongdong Li, Zhuo Yang, Jinlin Liu, Hai Yang, Zhe Wang
2024 J jnl
Freezing partial source representations matters for image inpainting under limited data.
Eng. Appl. Artif. Intell.
Yanbing Zhang, Mengping Yang, Ting Xiao, Zhe Wang, Ziqiu Chi
2024 J jnl
Guided Attention and Joint Loss for Infrared Dim Small Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Yunfei Tong, Jing Liu, Zhiling Fu, Zhe Wang, Hai Yang, Saisai Niu, Qinyan Tan
2024 J jnl
MAPFF: Multiangle Pyramid Feature Fusion Network for Infrared Dim Small Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Hai Yang, Jing Liu, Zhe Wang, Zhiling Fu, Qinyan Tan, Saisai Niu
2024 J jnl
MCPL: Multi-model co-guided progressive learning for multimodal aspect-based sentiment analysis.
Knowl. Based Syst.
Jing Zhang, Jiaqi Qu, Jiangpei Liu, Zhe Wang
2024 J jnl
Object aroused emotion analysis network for image sentiment analysis.
Knowl. Based Syst.
Jing Zhang, Jiangpei Liu, Weichao Ding, Zhe Wang
2024 J jnl
Patch-Based Semantically Enhanced Network for IR Dim and Small Targets Background Suppression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yunfei Tong, Yue Leng, Hai Yang, Zhe Wang, Saisai Niu, Huabao Long
2024 J jnl
Relationship constraint deep metric learning.
Appl. Intell.
Yanbing Zhang, Ting Xiao, Zhe Wang, Xinru Wang, Wenyi Feng, Zhiling Fu, Hai Yang
2024 J jnl
Target-Focused Enhancement Network for Distant Infrared Dim and Small Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Yunfei Tong, Yue Leng, Hai Yang, Zhe Wang
2023 J jnl
Adaptive federated few-shot feature learning with prototype rectification.
Eng. Appl. Artif. Intell.
Mengping Yang, Xu Chu, Jingwen Zhu, Yonghui Xi, Saisai Niu, Zhe Wang
2023 J jnl
Complementary features based prototype self-updating for few-shot learning.
Expert Syst. Appl.
Xinlei Xu, Zhe Wang, Ziqiu Chi, Hai Yang, Wenli Du
2023 J jnl
Cross on Cross Attention: Deep Fusion Transformer for Image Captioning.
IEEE Trans. Circuits Syst. Video Technol.
Jing Zhang, Yingshuai Xie, Weichao Ding, Zhe Wang
2023 J jnl
DFSGAN: Introducing editable and representative attributes for few-shot image generation.
Eng. Appl. Artif. Intell.
Mengping Yang, Saisai Niu, Zhe Wang, Dongdong Li, Wenli Du
2023 J jnl
Distributed few-shot learning with prototype distribution correction.
Appl. Intell.
Zhiling Fu, Dongfang Tang, Pingchuan Ma, Zhe Wang, Wen Gao
2023 J jnl
Federated probability memory recall for federated continual learning.
Inf. Sci.
Zhe Wang, Yu Zhang, Xinlei Xu, Zhiling Fu, Hai Yang, Wenli Du
2023 J jnl
Flexible few-shot class-incremental learning with prototype container.
Neural Comput. Appl.
Xinlei Xu, Zhe Wang, Zhiling Fu, Wei Guo, Ziqiu Chi, Dongdong Li
2023 J jnl
Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Tianhao Gu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang, Wenli Du
2023 J jnl
From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach.
Briefings Bioinform.
Hai Yang, Lipeng Gan, Rui Chen, Dongdong Li, Jing Zhang, Zhe Wang
2023 J jnl
Hierarchical decoding with latent context for image captioning.
Neural Comput. Appl.
Jing Zhang, Yingshuai Xie, Kangkang Li, Zhe Wang, Wen Du
2023 J jnl
Identity Retention and Emotion Converted StarGAN for low-resource emotional speaker recognition.
Speech Commun.
Dongdong Li, Zhuo Yang, Zhe Wang, Hai Yang
2023 J jnl
Image Synthesis under Limited Data: A Survey and Taxonomy.
CoRR
Mengping Yang, Zhe Wang
2023 A* conf
Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation.
ACM Multimedia
Mengping Yang, Zhe Wang, Wenyi Feng, Qian Zhang, Ting Xiao
2023 J jnl
Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation.
CoRR
Mengping Yang, Zhe Wang, Wenyi Feng, Qian Zhang, Ting Xiao
2023 J jnl
InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.
Briefings Bioinform.
Hai Yang, Yawen Liu, Yijing Yang, Dongdong Li, Zhe Wang
2023 J jnl
Knowledge aggregation networks for class incremental learning.
Pattern Recognit.
Zhiling Fu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang
2023 B conf
Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition.
IJCNN
Zhengji Xuan, Dongdong Li, Zhe Wang, Hai Yang
2023 J jnl
Multi-feature fusion enhanced transformer with multi-layer fused decoding for image captioning.
Appl. Intell.
Jing Zhang, Zhongjun Fang, Zhe Wang
2023 J jnl
Multi-feature space similarity supplement for few-shot class incremental learning.
Knowl. Based Syst.
Xinlei Xu, Saisai Niu, Zhe Wang, Wei Guo, Lihong Jing, Hai Yang
2023 B conf
Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition.
IJCNN
Zhongliang Zeng, Dongdong Li, Zhe Wang, Hai Yang
2023 J jnl
Multi-view dimensionality reduction learning with hierarchical sparse feature selection.
Appl. Intell.
Wei Guo, Zhe Wang, Hai Yang, Wenli Du
2023 J jnl
Multi-view multi-manifold learning with local and global structure preservation.
Appl. Intell.
Wenyi Feng, Zhe Wang
2023 J jnl
Multilabel Convolutional Network With Feature Denoising and Details Supplement.
IEEE Trans. Neural Networks Learn. Syst.
Tianhao Gu, Zhe Wang, ZhongLi Fang, Zonghai Zhu, Hai Yang, Dongdong Li, Wenli Du
2023 J jnl
Multiple Kernel Subspace Learning for Clustering and Classification.
IEEE Trans. Knowl. Data Eng.
Ziqiu Chi, Zhe Wang, Bolu Wang, ZhongLi Fang, Zonghai Zhu, Dongdong Li, Wenli Du
2023 J jnl
Personalized Federated Continual Learning for Task-Incremental Biometrics.
IEEE Internet Things J.
Dongdong Li, Nan Huang, Zhe Wang, Hai Yang
2023 J jnl
Personalized federated learning: A Clustered Distributed Co-Meta-Learning approach.
Inf. Sci.
Maoye Ren, Zhe Wang, Xinhai Yu
2023 J jnl
ProtoGAN: Towards high diversity and fidelity image synthesis under limited data.
Inf. Sci.
Mengping Yang, Zhe Wang, Ziqiu Chi, Wenli Du
2023 J jnl
RLPGB-Net: Reinforcement Learning of Feature Fusion and Global Context Boundary Attention for Infrared Dim Small Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Zhe Wang, Tao Zang, Zhiling Fu, Hai Yang, Wenli Du
2023 A conf
Robust Structured Sparse Subspace Clustering with Neighborhood Preserving Projection.
ICME
Wenyi Feng, Wei Guo, Ting Xiao, Zhe Wang
2023 J jnl
Robust semi-supervised multi-view graph learning with sharable and individual structure.
Pattern Recognit.
Wei Guo, Zhe Wang, Wenli Du
2023 J jnl
SEC-GAN for robust speaker recognition with emotional state dismatch.
Biomed. Signal Process. Control.
Dongdong Li, Zhuo Yang, Zhe Wang, Ming Hua
2023 J jnl
Scalable one-stage multi-view subspace clustering with dictionary learning.
Knowl. Based Syst.
Wei Guo, Zhe Wang, Ziqiu Chi, Xinlei Xu, Dongdong Li, Songyang Wu
2023 J jnl
Semantic alignment with self-supervision for class incremental learning.
Knowl. Based Syst.
Zhiling Fu, Zhe Wang, Xinlei Xu, Mengping Yang, Ziqiu Chi, Weichao Ding
2023 A* conf
Semantic-Aware Generator and Low-level Feature Augmentation for Few-shot Image Generation.
ACM Multimedia
Zhe Wang, Jiaoyan Guan, Mengping Yang, Ting Xiao, Ziqiu Chi
2022 A* conf
Better Embedding and More Shots for Few-shot Learning.
IJCAI
Ziqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu
2022 J jnl
Boundary-based Fuzzy-SVDD for one-class classification.
Int. J. Intell. Syst.
Dongdong Li, Xinlei Xu, Zhe Wang, Chenjie Cao, Minguang Wang
2022 — conf
CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data.
BIBM
Lei Zhang, Yijing Yang, Zhe Wang, Dongdong Li, Jingping Liu, Hai Yang
2022 J jnl
Client selection based weighted federated few-shot learning.
Appl. Soft Comput.
Xinlei Xu, Saisai Niu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du
2022 J jnl
Cost-sensitive matrixized classification learning with information entropy.
Appl. Soft Comput.
Zhe Wang, Xu Chu, Dongdong Li, Hai Yang, Weichao Qu
2022 J jnl
Explicit Metric-Based Multiconcept Multi-Instance Learning With Triplet and Superbag.
IEEE Trans. Neural Networks Learn. Syst.
Ziqiu Chi, Zhe Wang, Wenli Du
2022 A* conf
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data.
NeurIPS
Mengping Yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang
2022 J jnl
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data.
CoRR
Mengping Yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang
2022 J jnl
Geometric imbalanced deep learning with feature scaling and boundary sample mining.
Pattern Recognit.
Zhe Wang, Qida Dong, Wei Guo, Dongdong Li, Jing Zhang, Wenli Du
2022 J jnl
Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data.
IEEE Trans. Cybern.
Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du
2022 J jnl
Graph-Based Object Semantic Refinement for Visual Emotion Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Jing Zhang, Xinyu Liu, Zhe Wang, Hai Yang
2022 J jnl
Gravitation balanced multiple kernel learning for imbalanced classification.
Neural Comput. Appl.
Mengping Yang, Zhe Wang, Yanqiong Li, Yangming Zhou, Dongdong Li, Wenli Du
2022 J jnl
Heterogeneous Federated Meta-Learning With Mutually Constrained Propagation.
IEEE Intell. Syst.
Ziqiu Chi, Zhe Wang, Wenli Du
2022 J jnl
Image sentiment classification via multi-level sentiment region correlation analysis.
Neurocomputing
Jing Zhang, Xinyu Liu, Mei Chen, Qi Ye, Zhe Wang
2022 J jnl
Learning to Capture the Query Distribution for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol.
Ziqiu Chi, Zhe Wang, Mengping Yang, Dongdong Li, Wenli Du
2022 J jnl
Multi-attention mutual information distributed framework for few-shot learning.
Expert Syst. Appl.
Zhe Wang, Pingchuan Ma, Ziqiu Chi, Dongdong Li, Hai Yang, Wenli Du
2022 J jnl
Multi-type features separating fusion learning for Speech Emotion Recognition.
Appl. Soft Comput.
Xinlei Xu, Dongdong Li, Yijun Zhou, Zhe Wang
2022 J jnl
Pseudolabel-guided multiview consensus graph learning for semisupervised classification.
Int. J. Intell. Syst.
Wei Guo, Zhe Wang, Wenli Du
2022 J jnl
Semantic Supplementary Network With Prior Information for Multi-Label Image Classification.
IEEE Trans. Circuits Syst. Video Technol.
Zhe Wang, ZhongLi Fang, Dongdong Li, Hai Yang, Wenli Du
2022 J jnl
Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization.
Int. J. Intell. Syst.
Wei Guo, Zhe Wang, Menghao Ma, Lilong Chen, Hai Yang, Dongdong Li, Wenli Du
2022 J jnl
Spatial-frequency convolutional self-attention network for EEG emotion recognition.
Appl. Soft Comput.
Dongdong Li, Li Xie, Bing Chai, Zhe Wang, Hai Yang
2022 J jnl
Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data.
CoRR
Hai Yang, Yuhang Sheng, Yi Jiang, Xiaoyang Fang, Dongdong Li, Jing Zhang, Zhe Wang
2022 J jnl
TRSD: A Time-Varying and Region-Changed Speech Database for Speaker Recognition.
Circuits Syst. Signal Process.
Dongdong Li, Jinlin Liu, Zhe Wang, Yanqiong Li, Baijun Chen, Lizhi Cai
2022 J jnl
Task Encoding With Distribution Calibration for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol.
Jing Zhang, Xinzhou Zhang, Zhe Wang
2022 — conf
WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation.
ECCV (15)
Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng
2022 J jnl
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation.
CoRR
Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng
2021 J jnl
BLSTM and CNN Stacking Architecture for Speech Emotion Recognition.
Neural Process. Lett.
Dongdong Li, Linyu Sun, Xinlei Xu, Zhe Wang, Jing Zhang, Wenli Du
2021 J jnl
EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks.
IEEE Trans. Cogn. Dev. Syst.
Dongdong Li, Bing Chai, Zhe Wang, Hai Yang, Wenli Du
2021 J jnl
Entropy-based hybrid sampling ensemble learning for imbalanced data.
Int. J. Intell. Syst.
Dongdong Li, Ziqiu Chi, Bolu Wang, Zhe Wang, Hai Yang, Wenli Du
2021 J jnl
Exploiting the potentialities of features for speech emotion recognition.
Inf. Sci.
Dongdong Li, Yijun Zhou, Zhe Wang, Daqi Gao
2021 J jnl
FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.
IEEE J. Biomed. Health Informatics
Zhe Wang, Tianhao Gu, Yiwen Zhu, Dongdong Li, Hai Yang, Wenli Du
2021 J jnl
Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs.
Knowl. Based Syst.
Yangming Zhou, Zhe Wang, Yan Jin, Zhang-Hua Fu
2021 J jnl
Multi-kernel Support Vector Data Description with boundary information.
Eng. Appl. Artif. Intell.
Wei Guo, Zhe Wang, Sisi Hong, Dongdong Li, Hai Yang, Wen Du
2021 J jnl
OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video.
IEEE Trans. Cogn. Dev. Syst.
Tianhao Gu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du, Yangming Zhou
2021 J jnl
Parallel-fusion LSTM with synchronous semantic and visual information for image captioning.
J. Vis. Commun. Image Represent.
Jing Zhang, Kangkang Li, Zhe Wang
2021 J jnl
Sample and feature selecting based ensemble learning for imbalanced problems.
Appl. Soft Comput.
Zhe Wang, Peng Jia, Xinlei Xu, Bolu Wang, Yujin Zhu, Dongdong Li
2021 J jnl
Speech emotion recognition using recurrent neural networks with directional self-attention.
Expert Syst. Appl.
Dongdong Li, Jinlin Liu, Zhuo Yang, Linyu Sun, Zhe Wang
2021 J jnl
Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data.
Bioinform.
Hai Yang, Rui Chen, Dongdong Li, Zhe Wang
2021 J jnl
Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter.
Eng. Appl. Artif. Intell.
Tianhao Gu, Zhe Wang, Ziqiu Chi, Yiwen Zhu, Wenli Du
2021 J jnl
Variable Population Memetic Search: A Case Study on the Critical Node Problem.
IEEE Trans. Evol. Comput.
Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai
2021 J jnl
Visual enhanced gLSTM for image captioning.
Expert Syst. Appl.
Jing Zhang, Kangkang Li, Zhenkun Wang, Xianwen Zhao, Zhe Wang
2020 J jnl
Cancer classification based on chromatin accessibility profiles with deep adversarial learning model.
PLoS Comput. Biol.
Hai Yang, Qiang Wei, Dongdong Li, Zhe Wang
2020 J jnl
Collaborative and geometric multi-kernel learning for multi-class classification.
Pattern Recognit.
Zhe Wang, Zonghai Zhu, Dongdong Li
2020 J jnl
Efficient matrixized classification learning with separated solution process.
Neural Comput. Appl.
Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Jing Zhang
2020 J jnl
Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems.
IEEE Trans. Neural Networks Learn. Syst.
Zhe Wang, Chenjie Cao, Yujin Zhu
2020 J jnl
Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem.
Knowl. Based Syst.
Zhe Wang, Yanqiong Li, Dongdong Li, Zonghai Zhu, Wenli Du
2020 J jnl
Feature rearrangement based deep learning system for predicting heart failure mortality.
Comput. Methods Programs Biomed.
Zhe Wang, Yiwen Zhu, Dongdong Li, Yichao Yin, Jing Zhang
2020 J jnl
Geometric Structural Ensemble Learning for Imbalanced Problems.
IEEE Trans. Cybern.
Zonghai Zhu, Zhe Wang, Dongdong Li, Yujin Zhu, Wenli Du
2020 J jnl
Global and local multi-view multi-label learning.
Neurocomputing
Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang
2020 J jnl
Multi-matrices entropy discriminant ensemble learning for imbalanced problem.
Neural Comput. Appl.
Zhe Wang, Zhaozhi Chen, Yiwen Zhu, Jing Zhang, Wenli Du, Dongdong Li
2020 J jnl
Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting.
Neural Networks
Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Yangming Zhou
2020 J jnl
Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems.
Eng. Appl. Artif. Intell.
Zhe Wang, Lilong Chen, Qi Fan, Dongdong Li, Daqi Gao
2020 J jnl
Multiple Universum Empirical Kernel Learning.
Eng. Appl. Artif. Intell.
Zhe Wang, Sisi Hong, Lijuan Yao, Dongdong Li, Wenli Du, Jing Zhang
2020 J jnl
NearCount: Selecting critical instances based on the cited counts of nearest neighbors.
Knowl. Based Syst.
Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du
2020 J jnl
Object semantics sentiment correlation analysis enhanced image sentiment classification.
Knowl. Based Syst.
Jing Zhang, Mei Chen, Han Sun, Dongdong Li, Zhe Wang
2020 J jnl
Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction.
J. Biomed. Informatics
Zhe Wang, Bolu Wang, Yangming Zhou, Dongdong Li, Yichao Yin
2019 A conf
Another Dimension: Towards Multi-subnet Neural Network for Image Sentiment Analysis.
ICME
Jing Zhang, Han Sun, Zhe Wang, Tong Ruan
2019 J jnl
Cost-sensitive Fuzzy Multiple Kernel Learning for imbalanced problem.
Neurocomputing
Zhe Wang, Bolu Wang, Yang Cheng, Dongdong Li, Jing Zhang
2019 J jnl
Image region label refinement using spatial position relation graph.
Knowl. Based Syst.
Jing Zhang, Zhenkun Wang, Yakun Mu, Zhe Wang
2019 J jnl
Locality Density-Based Fuzzy Multiple Empirical Kernel Learning.
Neural Process. Lett.
Qi Fan, Zhe Wang, Daqi Gao
2019 J jnl
Multi-view learning with fisher kernel and bi-bagging for imbalanced problem.
Appl. Intell.
Zhe Wang, Yiwen Zhu, Zhaozhi Chen, Jing Zhang, Wenli Du
2019 C conf
Multiple Empirical Kernel Learning with Discriminant Locality Preservation.
ACML
Bolu Wang, Dongdong Li, Zhe Wang
2019 J jnl
Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems.
Appl. Soft Comput.
Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du
2019 J jnl
Semi-supervised one-pass multi-view learning.
Neural Comput. Appl.
Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding
2019 — conf
Support Vector Data Description with Fractional Order Kernel.
ICMLT
Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao
2019 J jnl
Tree-based space partition and merging ensemble learning framework for imbalanced problems.
Inf. Sci.
Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du
2019 J jnl
Variable Population Memetic Search: A Case Study on the Critical Node Problem.
CoRR
Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai
2019 J jnl
Web image annotation based on Tri-relational Graph and semantic context analysis.
Eng. Appl. Artif. Intell.
Jing Zhang, Ti Tao, Yakun Mu, Han Sun, Dongdong Li, Zhe Wang
2018 J jnl
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems.
IEEE Trans. Neural Networks Learn. Syst.
Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao
2018 — conf
Entropy Based Boundary-Eliminated Pseudo-Inverse Linear Discriminant for Speech Emotion Recognition.
PCM (2)
Dongdong Li, Linyu Sun, Zhe Wang, Jing Zhang
2018 J jnl
IMCStacking: Cost-sensitive stacking learning with feature inverse mapping for imbalanced problems.
Knowl. Based Syst.
Chenjie Cao, Zhe Wang
2018 J jnl
Information entropy based sample reduction for support vector data description.
Appl. Soft Comput.
Dongdong Li, Zhe Wang, Chenjie Cao, Yu Liu
2018 J jnl
Matrix-pattern-oriented classifier with boundary projection discrimination.
Knowl. Based Syst.
Zhe Wang, Zonghai Zhu
2018 J jnl
Mortality prediction system for heart failure with orthogonal relief and dynamic radius means.
Int. J. Medical Informatics
Zhe Wang, Lijuan Yao, Dongdong Li, Tong Ruan, Min Liu, Ju Gao
2018 J jnl
Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems.
Knowl. Based Syst.
Yujin Zhu, Zhe Wang, Chenjie Cao, Daqi Gao
2017 J jnl
Entropy-based fuzzy support vector machine for imbalanced datasets.
Knowl. Based Syst.
Qi Fan, Zhe Wang, Dongdong Li, Daqi Gao, Hongyuan Zha
2017 J jnl
Entropy-based matrix learning machine for imbalanced data sets.
Pattern Recognit. Lett.
Changming Zhu, Zhe Wang
2017 J jnl
GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction.
Eng. Appl. Artif. Intell.
Yujin Zhu, Zhe Wang, Daqi Gao, Dongdong Li
2017 J jnl
Locality sensitive discriminant matrixized learning machine.
Knowl. Based Syst.
Zhe Wang, Guowei Zhang, Dongdong Li, Yujin Zhu, Chenjie Cao
2017 J jnl
MREKLM: A fast multiple empirical kernel learning machine.
Pattern Recognit.
Qi Fan, Zhe Wang, Hongyuan Zha, Daqi Gao
2017 J jnl
Regularized Matrix-Pattern-Oriented Classification Machine with Universum.
Neural Process. Lett.
Dongdong Li, Yujin Zhu, Zhe Wang, Chuanyu Chong, Daqi Gao
2016 J jnl
Matrixized Learning Machine with Feature-Clustering Interpolation.
Neural Process. Lett.
Yujin Zhu, Zhe Wang, Daqi Gao
2016 J jnl
Multiple empirical kernel learning with locality preserving constraint.
Knowl. Based Syst.
Qi Fan, Daqi Gao, Zhe Wang
2016 J jnl
New design goal of a classifier: Global and local structural risk minimization.
Knowl. Based Syst.
Changming Zhu, Zhe Wang, Daqi Gao
2016 J jnl
One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem.
Eng. Appl. Artif. Intell.
Qi Fan, Zhe Wang, Daqi Gao
2015 J jnl
An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection.
Neural Process. Lett.
Zhe Wang, Qi Fan, Wenbo Jie, Daqi Gao
2015 J jnl
Double-fold localized multiple matrixized learning machine.
Inf. Sci.
Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng
2015 J jnl
Globalized and localized canonical correlation analysis with multiple empirical kernel mapping.
Neurocomputing
Changming Zhu, Zhe Wang, Daqi Gao
2015 J jnl
Gravitational fixed radius nearest neighbor for imbalanced problem.
Knowl. Based Syst.
Yujin Zhu, Zhe Wang, Daqi Gao
2015 J jnl
MPEKDyL: Efficient multi-partial empirical kernel dynamic learning.
Knowl. Based Syst.
Qi Fan, Zhe Wang, Daqi Gao, Dongdong Li
2015 J jnl
Matrixized learning machine with modified pairwise constraints.
Pattern Recognit.
Yujin Zhu, Zhe Wang, Daqi Gao
2015 J jnl
McMatMHKS: A direct multi-class matrixized learning machine.
Knowl. Based Syst.
Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao
2015 J jnl
Multiple Empirical Kernel Learning with dynamic pairwise constraints.
Appl. Soft Comput.
Zhe Wang, Qi Fan, Daqi Gao
2015 J jnl
Social Group Search Optimizer Algorithm for Ad Hoc Network.
Ad Hoc Sens. Wirel. Networks
Xiang Feng, Meiyi Ma, Huiqun Yu, Zhe Wang
2015 J jnl
Structural multiple empirical kernel learning.
Inf. Sci.
Zhe Wang, Qi Fan, Sheng Ke, Daqi Gao
2014 J jnl
Cost-Sensitive Multi-View Learning Machine.
Int. J. Pattern Recognit. Artif. Intell.
Zhe Wang, Mingzhe Lu, Zengxin Niu, Xiangyang Xue, Daqi Gao
2014 J jnl
Globalized and localized matrix-pattern-oriented classification machine.
Appl. Soft Comput.
Zhe Wang, Yujin Zhu, Daqi Gao, Weibin Guo
2014 J jnl
Multi-kernel classification machine with reduced complexity.
Knowl. Based Syst.
Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng
2014 J jnl
Multi-view learning with Universum.
Knowl. Based Syst.
Zhe Wang, Yujin Zhu, Wenwen Liu, Zhihua Chen, Daqi Gao
2013 J jnl
A novel multiple Nyström-approximating kernel discriminant analysis.
Neurocomputing
Zhe Wang, Wenbo Jie, Daqi Gao
2013 J jnl
An efficient Kernel-based matrixized least squares support vector machine.
Neural Comput. Appl.
Zhe Wang, Xisheng He, Daqi Gao, Xiangyang Xue
2013 J jnl
Multiple empirical kernel learning based on local information.
Neural Comput. Appl.
Zhe Wang, Jin Xu, Daqi Gao, Yu Fu
2013 J jnl
Random projection ensemble learning with multiple empirical kernels.
Knowl. Based Syst.
Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao
2013 J jnl
Three-fold structured classifier design based on matrix pattern.
Pattern Recognit.
Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen
2012 J jnl
A simplified multi-class support vector machine with reduced dual optimization.
Pattern Recognit. Lett.
Xisheng He, Zhe Wang, Cheng Jin, Yingbin Zheng, Xiangyang Xue
2012 J jnl
Regularized multi-view learning machine based on response surface technique.
Neurocomputing
Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao
2011 J jnl
A novel multi-view classifier based on Nyström approximation.
Expert Syst. Appl.
Zhe Wang, Songcan Chen, Daqi Gao
2011 J jnl
A novel multi-view learning developed from single-view patterns.
Pattern Recognit.
Zhe Wang, Songcan Chen, Daqi Gao
2010 J jnl
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization.
Neural Process. Lett.
Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan
2010 Misc conf
A novel DoubleMinOver classifier based On second-order tensor.
ICNC
Zhe Wang, Rui Han, Zhisong Pan, Xuelei Ni
2010 — conf
An Effective Support Vector Data Description with Relevant Metric Learning.
ISNN (2)
Zhe Wang, Daqi Gao, Zhisong Pan
2010 — conf
Discriminant Support Vector Data Description.
IWACI
Zhe Wang, Daqi Gao
2009 — conf
A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness.
ISNN (4)
Zhe Wang, Songcan Chen, Daqi Gao
2009 — conf
Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping.
CSIE (3)
Zhe Wang, Songcan Chen, Zhisong Pan, Xuelei Ni
2009 J jnl
Multi-view kernel machine on single-view data.
Neurocomputing
Zhe Wang, Songcan Chen
2008 J jnl
Matrix-pattern-oriented least squares support vector classifier with AdaBoost.
Pattern Recognit. Lett.
Zhe Wang, Songcan Chen
2008 J jnl
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhe Wang, Songcan Chen, Tingkai Sun
2008 J jnl
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector.
IEEE Trans. Neural Networks
Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang
2007 J jnl
Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning.
Pattern Recognit.
Songcan Chen, Zhe Wang, Yongjun Tian
2007 J jnl
New Least Squares Support Vector Machines Based on Matrix Patterns.
Neural Process. Lett.
Zhe Wang, Songcan Chen