Nizhuan Wang - RankMe

54 papers A* 1A 1C 1Journal 41Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications. Vis. Comput. Ind. Biomed. Art Lei Wang, Weiming Zeng, Kai Long, Hongyu Chen, Rongfeng Lan, Li Liu, Wai Ting Siok, Nizhuan Wang
2026	J	`jnl`	Linguistics and Human Brain: A Perspective of Computational Neuroscience. CoRR Fudong Zhang, Bo Chai, Yujie Wu, Wai Ting Siok, Nizhuan Wang
2026	J	`jnl`	Prototype-Based Disentanglement for Controllable Dysarthric Speech Synthesis. CoRR Haoshen Wang, Xueli Zhong, Bingbing Lin, Jia Huang, Xingduo Pan, Shengxiang Liang, Nizhuan Wang, Wai Ting Siok
2026	J	`jnl`	Region-aware Spatiotemporal Modeling with Collaborative Domain Generalization for Cross-Subject EEG Emotion Recognition. CoRR Weiwei Wu, Yueyang Li, Yuhu Shi, Weiming Zeng, Lang Qin, Yang Yang, Ke Zhou, Zhiguo Zhang, Wai Ting Siok, Nizhuan Wang
2025	—	`conf`	A Dual-Graph-Driven Non-Negative Matrix Factorization Model for Single-Cell Omics Analysis. BIBM Junjie Lan, Nizhuan Wang, Jin Deng
2025	J	`jnl`	A Tale of Single-Channel Electroencephalography: Devices, Datasets, Signal Processing, Applications, and Future Directions. IEEE Trans. Instrum. Meas. Yueyang Li, Weiming Zeng, Wenhao Dong, Di Han, Lei Chen, Hongyu Chen, Zijian Kang, Shengyu Gong, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2025	J	`jnl`	EEG Emotion Copilot: Optimizing lightweight LLMs for emotional EEG interpretation with assisted medical record generation. Neural Networks Hongyu Chen, Weiming Zeng, Chengcheng Chen, Luhui Cai, Fei Wang, Yuhu Shi, Lei Wang, Wei Zhang, Yueyang Li, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2025	J	`jnl`	FreqDGT: Frequency-Adaptive Dynamic Graph Networks with Transformer for Cross-subject EEG Emotion Recognition. CoRR Yueyang Li, Shengyu Gong, Weiming Zeng, Nizhuan Wang, Wai Ting Siok
2025	J	`jnl`	Hypergraph Multi-Modal Learning for EEG-based Emotion Recognition in Conversation. CoRR Zijian Kang, Yueyang Li, Shengyu Gong, Weiming Zeng, Hongjie Yan, Lingbin Bian, Wai Ting Siok, Nizhuan Wang
2025	J	`jnl`	Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis. CoRR Yueyang Li, Lei Chen, Wenhao Dong, Shengyu Gong, Zijian Kang, Boyang Wei, Weiming Zeng, Hongjie Yan, Lingbin Bian, Wai Ting Siok, Nizhuan Wang
2025	J	`jnl`	LEREL: Lipschitz Continuity-Constrained Emotion Recognition Ensemble Learning For Electroencephalography. CoRR Shengyu Gong, Yueyang Li, Zijian Kang, Weiming Zeng, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2025	J	`jnl`	MHNet: Multi-view High-Order Network for Diagnosing Neurodevelopmental Disorders Using Resting-State fMRI. J. Imaging Inform. Medicine Yueyang Li, Weiming Zeng, Wenhao Dong, Luhui Cai, Lei Wang, Hongyu Chen, Hongjie Yan, Lingbin Bian, Nizhuan Wang
2025	J	`jnl`	MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction. IEEE Trans. Medical Imaging Luhui Cai, Weiming Zeng, Hongyu Chen, Hua Zhang, Yueyang Li, Yu Feng, Hongjie Yan, Lingbin Bian, Wai Ting Siok, Nizhuan Wang
2025	A	`conf`	Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual Decoding. ICME Yueyang Li, Zijian Kang, Shengyu Gong, Wenhao Dong, Weiming Zeng, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2025	J	`jnl`	STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis. CoRR Wenhao Dong, Yueyang Li, Weiming Zeng, Lei Chen, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2025	J	`jnl`	STARFormer: A novel spatio-temporal aggregation reorganization transformer of FMRI for brain disorder diagnosis. Neural Networks Wenhao Dong, Yueyang Li, Weiming Zeng, Lei Chen, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2024	J	`jnl`	A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions. CoRR Yueyang Li, Weiming Zeng, Wenhao Dong, Di Han, Lei Chen, Hongyu Chen, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2024	J	`jnl`	Advances in Photoacoustic Imaging Reconstruction and Quantitative Analysis for Biomedical Applications. CoRR Lei Wang, Weiming Zeng, Kai Long, Rongfeng Lan, Li Liu, Wai Ting Siok, Nizhuan Wang
2024	J	`jnl`	CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation. IEEE Access Haitong Tang, Shuang He, Mengduo Yang, Xia Lu, Qin Yu, Kaiyue Liu, Hongjie Yan, Nizhuan Wang
2024	—	`conf`	EDRAM-Net: Encoder-Decoder with Residual Attention Module Network for Low-dose Computed Tomography Reconstruction. EMBC Temitope Emmanuel Komolafe, Liang Zhou, Wenlong Zhao, Nizhuan Wang, Tao Wu
2024	J	`jnl`	EEG Emotion Copilot: Pruning LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation. CoRR Hongyu Chen, Weiming Zeng, Chengcheng Chen, Luhui Cai, Fei Wang, Lei Wang, Wei Zhang, Yueyang Li, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2024	J	`jnl`	MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction. Mach. Vis. Appl. Temitope Emmanuel Komolafe, Nizhuan Wang, Yuchi Tian, Adegbola Oyedotun Adeniji, Liang Zhou
2024	J	`jnl`	MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI. CoRR Yueyang Li, Weiming Zeng, Wenhao Dong, Luhui Cai, Lei Wang, Hongyu Chen, Hongjie Yan, Lingbin Bian, Nizhuan Wang
2024	J	`jnl`	MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction. CoRR Luhui Cai, Weiming Zeng, Hongyu Chen, Hua Zhang, Yueyang Li, Hongjie Yan, Lingbin Bian, Nizhuan Wang
2024	A*	`conf`	NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images. AAAI Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen
2024	J	`jnl`	Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas. CoRR Yu Feng, Weiming Zeng, Yifan Xie, Hongyu Chen, Lei Wang, Yingying Wang, Hongjie Yan, Kaile Zhang, Ran Tao, Wai Ting Siok, Nizhuan Wang
2024	J	`jnl`	Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual Decoding. CoRR Yueyang Li, Zijian Kang, Shengyu Gong, Wenhao Dong, Weiming Zeng, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2024	J	`jnl`	STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data. CoRR Wei Zhang, Weiming Zeng, Hongyu Chen, Jie Liu, Hongjie Yan, Kaile Zhang, Ran Tao, Wai Ting Siok, Nizhuan Wang
2024	J	`jnl`	You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation. CoRR Hongyu Chen, Weiming Zeng, Luhui Cai, Yueyang Li, Lei Wang, Jia Lu, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
2023	—	`conf`	HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. MICCAI (6) Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen
2023	J	`jnl`	Multi-View Vertebra Localization and Identification from CT Images. CoRR Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen
2023	—	`conf`	Multi-view Vertebra Localization and Identification from CT Images. MICCAI (5) Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen
2023	J	`jnl`	Underwater target detection based on improved YOLOv7. CoRR Kaiyue Liu, Qi Sun, Daming Sun, Mengduo Yang, Nizhuan Wang
2022	J	`jnl`	A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion. CoRR Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen
2022	—	`conf`	DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction. MLMIR@MICCAI Temitope Emmanuel Komolafe, Yuhang Sun, Nizhuan Wang, Kaicong Sun, Guohua Cao, Dinggang Shen
2022	J	`jnl`	RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-Based Semantic Segmentation. IEEE Access Shuang He, Xia Lu, Jason Gu, Haitong Tang, Qin Yu, Kaiyue Liu, Haozhou Ding, Chunqi Chang, Nizhuan Wang
2022	J	`jnl`	WSEBP: A Novel Width-depth Synchronous Extension-based Basis Pursuit Algorithm for Multi-Layer Convolutional Sparse Coding. CoRR Haitong Tang, Shuang He, Lingbin Bian, Zhiming Cui, Nizhuan Wang
2021	—	`conf`	A Frequency-constrained Spectrum Difference Mapping Framework for Decoding Brain Activity from Functional Magnetic Resonance Imaging Data. BIC Qin Yu, Yulong Xiong, Haitong Tang, Shuang He, Kaiyue Liu, Nizhuan Wang
2021	J	`jnl`	Application and Evolution for Neural Network and Signal Processing in Large-Scale Systems. Complex. Dongbao Jia, Cunhua Li, Qun Liu, Qin Yu, Xiangsheng Meng, Zhaoman Zhong, Xinxin Ban, Nizhuan Wang
2021	J	`jnl`	CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation. CoRR Haitong Tang, Shuang He, Xia Lu, Qin Yu, Kaiyue Liu, Hongjie Yan, Nizhuan Wang
2021	—	`conf`	Comparison of Picard Versions for Analyzing functional Magnetic Resonance Imaging Data. BIC Yulong Xiong, Qin Yu, Shuang He, Haitong Tang, Kaiyue Liu, Nizhuan Wang
2021	J	`jnl`	Extraction and Analysis of Dynamic Functional Connectome Patterns in Migraine Sufferers: A Resting-State fMRI Study. Comput. Math. Methods Medicine Weifang Nie, Weiming Zeng, Jiajun Yang, Yuhu Shi, Le Zhao, Ying Li, Dunyao Chen, Jin Deng, Nizhuan Wang
2021	J	`jnl`	MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification. CoRR Shuang He, Haitong Tang, Xia Lu, Hongjie Yan, Nizhuan Wang
2021	—	`conf`	Performance Validation of Yolo Variants for Object Detection. BIC Kaiyue Liu, Haitong Tang, Shuang He, Qin Yu, Yulong Xiong, Nizhuan Wang
2021	J	`jnl`	RSI-Net: Two-Stream Deep Neural Network Integrating GCN and Atrous CNN for Semantic Segmentation of High-resolution Remote Sensing Images. CoRR Shuang He, Xia Lu, Jason Gu, Haitong Tang, Qin Yu, Kaiyue Liu, Haozhou Ding, Chunqi Chang, Nizhuan Wang
2020	—	`conf`	Comparison of Machine Learning and Deep Learning Approaches for Decoding Brain Computer Interface: An fNIRS Study. IIP Jiahao Lu, Hongjie Yan, Chunqi Chang, Nizhuan Wang
2018	C	`conf`	A Novel Spatial-Spectra Dynamics-Based Ranking Model for Sorting Time-Varying Functional Networks from Single Subject FMRI Data. ICIS Nizhuan Wang, Hongjie Yan, Yang Yang, Ruiyang Ge
2017	—	`conf`	A novel automatic identification model for tracking dynamic brain functional networks at single-subject level. ICIA Nizhuan Wang, Li Liu, Weixiang Liu, Hongjie Yan
2017	J	`jnl`	SCGICAR: Spatial concatenation based group ICA with reference for fMRI data analysis. Comput. Methods Programs Biomed. Yuhu Shi, Weiming Zeng, Nizhuan Wang
2016	J	`jnl`	A Novel Brain Networks Enhancement Model (BNEM) for BOLD fMRI Data Analysis With Highly Spatial Reproducibility. IEEE J. Biomed. Health Informatics Nizhuan Wang, Weiming Zeng, Dongtailang Chen, Jun Yin, Lei Chen
2016	J	`jnl`	A Novel Sparse Dictionary Learning Separation (SDLS) Model With Adaptive Dictionary Mutual Incoherence Constraint for fMRI Data Analysis. IEEE Trans. Biomed. Eng. Nizhuan Wang, Weiming Zeng, Dongtailang Chen
2015	J	`jnl`	A novel fMRI group data analysis method based on data-driven reference extracting from group subjects. Comput. Methods Programs Biomed. Yuhu Shi, Weiming Zeng, Nizhuan Wang, Dongtailang Chen
2015	J	`jnl`	An adaptive RV measure based fuzzy weighting subspace clustering (ARV-FWSC) for fMRI data analysis. Biomed. Signal Process. Control. Xiaoyan Tang, Weiming Zeng, Nizhuan Wang, Jiajun Yang
2015	J	`jnl`	GPU-based parallel group ICA for functional magnetic resonance data. Comput. Methods Programs Biomed. Yanshan Jing, Weiming Zeng, Nizhuan Wang, Tianlong Ren, Yingchao Shi, Jun Yin, Qi Xu