Zhen Jane Wang
#131,897
Most Influential Person Now
Electrical engineer
Zhen Jane Wang's AcademicInfluence.com Rankings
Zhen Jane Wangengineering Degrees
Engineering
#5887
World Rank
#7174
Historical Rank
Electrical Engineering
#1899
World Rank
#2001
Historical Rank
Applied Physics
#2425
World Rank
#2466
Historical Rank
Download Badge
Engineering
Zhen Jane Wang's Degrees
- Bachelors Electrical Engineering Stanford University
- Masters Electrical Engineering Stanford University
Why Is Zhen Jane Wang Influential?
(Suggest an Edit or Addition)According to Wikipedia, Zhen Jane Wang is a Chinese-Canadian signal processing researcher whose research includes work on statistical signal processing, image fusion, digital video fingerprinting, biological network inference, and deep learning. She is a professor in the Department of Electrical and Computer Engineering at the University of British Columbia, and the editor-in-chief of IEEE Signal Processing Letters.
Zhen Jane Wang's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Image Fusion With Convolutional Sparse Representation (2016) (507)
- Deep learning for pixel-level image fusion: Recent advances and future prospects (2018) (414)
- A CNN Regression Approach for Real-Time 2D/3D Registration (2016) (348)
- Median Filtering Forensics Based on Convolutional Neural Networks (2015) (335)
- 3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI (2017) (195)
- Anti-collusion forensics of multimedia fingerprinting using orthogonal modulation (2005) (169)
- Novel Tactile Sensor Technology and Smart Tactile Sensing Systems: A Review (2017) (160)
- Perceptual Image Hashing Based on Shape Contexts and Local Feature Points (2012) (153)
- Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis (2019) (149)
- Robust Image Watermarking Based on Multiscale Gradient Direction Quantization (2011) (135)
- Pattern recognition of number gestures based on a wireless surface EMG system (2013) (133)
- Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals (2019) (130)
- Home Appliance Load Modeling From Aggregated Smart Meter Data (2015) (129)
- A Sign-Component-Based Framework for Chinese Sign Language Recognition Using Accelerometer and sEMG Data (2012) (117)
- The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings (2018) (107)
- Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine (2014) (107)
- Correlation-and-Bit-Aware Spread Spectrum Embedding for Data Hiding (2011) (101)
- Joint amplitude and connectivity compensatory mechanisms in Parkinson's disease (2010) (96)
- Removing Muscle Artifacts From EEG Data: Multichannel or Single-Channel Techniques? (2016) (94)
- Group-Oriented Fingerprinting for Multimedia Forensics (2004) (93)
- Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm (2009) (92)
- Dynamic Bayesian network modeling of fMRI: A comparison of group-analysis methods (2008) (88)
- Real-time 2D/3D registration via CNN regression (2015) (81)
- Incomplete multi-view clustering via deep semantic mapping (2018) (77)
- Epileptic Seizure Detection: A Deep Learning Approach (2018) (76)
- Joint Blind Source Separation for Neurophysiological Data Analysis: Multiset and multimodal methods (2016) (75)
- Video-Based Heart Rate Measurement: Recent Advances and Future Prospects (2019) (71)
- A Hidden Markov, Multivariate Autoregressive (HMM-mAR) Network Framework for Analysis of Surface EMG (sEMG) Data (2008) (69)
- Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification (2017) (66)
- Novel Flexible Wearable Sensor Materials and Signal Processing for Vital Sign and Human Activity Monitoring (2017) (65)
- Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain 18F-FDG PET (2018) (58)
- Parkinson’s Disease Rigidity: Relation to Brain Connectivity and Motor Performance (2013) (56)
- An Improved Multiplicative Spread Spectrum Embedding Scheme for Data Hiding (2012) (56)
- Video-based human heart rate measurement using joint blind source separation (2017) (55)
- Illumination Variation-Resistant Video-Based Heart Rate Measurement Using Joint Blind Source Separation and Ensemble Empirical Mode Decomposition (2017) (53)
- A Novel EEMD-CCA Approach to Removing Muscle Artifacts for Pervasive EEG (2019) (51)
- An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis (2020) (50)
- Noisy Galvanic Vestibular Stimulation Modulates the Amplitude of EEG Synchrony Patterns (2013) (48)
- Closed-Form BER Analysis of Non-Coherent FSK in MISO Double Rayleigh Fading/RFID Channel (2011) (47)
- Automated Detection and Segmentation of Vascular Structures of Skin Lesions Seen in Dermoscopy, With an Application to Basal Cell Carcinoma Classification (2017) (45)
- Shrinkage-to-Tapering Estimation of Large Covariance Matrices (2012) (45)
- Dimensionality Reduction for Hyperspectral Data Based on Class-Aware Tensor Neighborhood Graph and Patch Alignment (2015) (43)
- Removal of Muscle Artifacts From the EEG: A Review and Recommendations (2019) (42)
- Cross-Domain Object Recognition Via Input-Output Kernel Analysis (2013) (42)
- On the performance of MIMO RFID backscattering channels (2012) (38)
- A feature fusion system for basal cell carcinoma detection through data‐driven feature learning and patient profile (2018) (37)
- Unitary Query for the M x L x N MIMO Backscatter RFID Channel (2014) (36)
- Asymptotic Analysis of Robust LASSOs in the Presence of Noise With Large Variance (2010) (36)
- Reduced-reference image quality assessment based on perceptual image hashing (2009) (36)
- Hashing the mAR coefficients from EEG data for person authentication (2009) (36)
- Robust detection of epileptic seizures based on L1-penalized robust regression of EEG signals (2018) (35)
- Design and Implementation of a Wearable, Wireless EEG Recording System (2011) (33)
- A Novel Segmentation, Mutual Information Network Framework for EEG Analysis of Motor Tasks (2009) (33)
- Gains by a space-time-code based signaling scheme for multiple-antenna RFID tags (2010) (32)
- Block-Level Unitary Query: Enabling Orthogonal-Like Space-Time Code With Query Diversity for MIMO Backscatter RFID (2016) (32)
- ICFS Clustering With Multiple Representatives for Large Data (2019) (31)
- CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation (2020) (31)
- Altered directional connectivity in Parkinson's disease during performance of a visually guided task (2011) (30)
- An Extended Image Hashing Concept: Content-Based Fingerprinting Using FJLT (2009) (29)
- A Sparse Representation-Based Wavelet Domain Speech Steganography Method (2015) (29)
- Structure Preserving Transfer Learning for Unsupervised Hyperspectral Image Classification (2017) (28)
- Forensics and counter anti-forensics of video inter-frame forgery (2016) (27)
- A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation (2015) (27)
- A multi-purpose image forensic method using densely connected convolutional neural networks (2019) (27)
- Fast Johnson-Lindenstrauss Transform for robust and secure image hashing (2008) (27)
- A Bayesian Lasso via reversible-jump MCMC (2011) (27)
- Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value (2019) (27)
- A Capsule Network Based Approach for Detection of Audio Spoofing Attacks (2021) (26)
- Galvanic Vestibular Stimulation (GVS) Augments Deficient Pedunculopontine Nucleus (PPN) Connectivity in Mild Parkinson's Disease: fMRI Effects of Different Stimuli (2018) (26)
- Image quality monitoring using spread spectrum watermarking (2009) (26)
- Unitary Query for the $M\times L\times N$ MIMO Backscatter RFID Channel (2014) (25)
- Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction (2019) (25)
- Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification (2018) (25)
- RGGNet: Tolerance Aware LiDAR-Camera Online Calibration With Geometric Deep Learning and Generative Model (2020) (25)
- An IC-PLS Framework for Group Corticomuscular Coupling Analysis (2013) (25)
- Removal of high-voltage brain stimulation artifacts from simultaneous EEG recordings (2017) (24)
- Robust digital video watermarking scheme for H.264 advanced video coding standard (2007) (24)
- Non-contact driver cardiac physiological monitoring using video data (2015) (24)
- An Unsupervised Hierarchical Feature Learning Framework for One-Shot Image Recognition (2013) (24)
- A multiblock PLS model of cortico-cortical and corticomuscular interactions in Parkinson's disease (2012) (24)
- Physiological parameter monitoring of drivers based on video data and independent vector analysis (2014) (24)
- An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis (2014) (23)
- Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data (2019) (23)
- A Computer-Aided Decision Support System for Detection and Localization of Cutaneous Vasculature in Dermoscopy Images Via Deep Feature Learning (2018) (23)
- Multi-view 3D Reconstruction with Transformers (2021) (23)
- theta, beta But not alpha-band EEG connectivity has implications for dual task performance in Parkinson's disease. (2010) (21)
- A multi-scale data fusion framework for bone age assessment with convolutional neural networks (2019) (21)
- Co-Learning Non-Negative Correlated and Uncorrelated Features for Multi-View Data (2020) (21)
- Zero-Shot Image Classification Based on Deep Feature Extraction (2018) (21)
- ReMAE: User-Friendly Toolbox for Removing Muscle Artifacts From EEG (2020) (21)
- A Generalized Multivariate Autoregressive (GmAR)-Based Approach for EEG Source Connectivity Analysis (2012) (21)
- Bayesian Network Modeling for Discovering “Dependent Synergies” Among Muscles in Reaching Movements (2008) (21)
- A Rotation-Invariant Convolutional Neural Network for Image Enhancement Forensics (2018) (20)
- Densely Connected Convolutional Neural Network for Multi-purpose Image Forensics under Anti-forensic Attacks (2018) (20)
- SER of Orthogonal Space–Time Block Codes Over Rician and Nakagami- $m$ RF Backscattering Channels (2014) (19)
- Sparse multivariate autoregressive (mAR)-based partial directed coherence (PDC) for electroencephalogram (EEG) analysis (2009) (19)
- Sparsity-Based Image Inpainting Detection via Canonical Correlation Analysis With Low-Rank Constraints (2018) (19)
- A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson’s disease (2021) (19)
- Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering (2018) (19)
- Compressed Binary Image Hashes Based on Semisupervised Spectral Embedding (2013) (19)
- A deep community based approach for large scale content based X-ray image retrieval (2020) (19)
- Robust Detection of Epileptic Seizures Using Deep Neural Networks (2018) (18)
- Removing Muscle Artifacts From EEG Data via Underdetermined Joint Blind Source Separation: A Simulation Study (2020) (18)
- Community structure detection from networks with weighted modularity (2019) (18)
- A Blind Source Separation Framework for Monitoring Heart Beat Rate Using Nanofiber-Based Strain Sensors (2016) (18)
- Deep Transfer Learning for Hyperspectral Image Classification (2018) (18)
- Underdetermined Joint Blind Source Separation of Multiple Datasets (2017) (18)
- Food Image Recognition via Superpixel Based Low-Level and Mid-Level Distance Coding for Smart Home Applications (2017) (17)
- Machine learning for quality prediction in abrasion-resistant material manufacturing process (2016) (17)
- DT-LET: Deep Transfer Learning by Exploring where to Transfer (2018) (17)
- A Joint Multimodal Group Analysis Framework for Modeling Corticomuscular Activity (2013) (17)
- Monostatic MIMO Backscatter Communications (2020) (17)
- Recent Advances in Sparse Representation Based Medical Image Fusion (2021) (16)
- Towards Universal Physical Attacks on Single Object Tracking (2021) (16)
- Local Linear Discriminant Analysis (LLDA) for group and region of interest (ROI)-based fMRI analysis (2007) (16)
- Abnormal Phase Coupling in Parkinson’s Disease and Normalization Effects of Subthreshold Vestibular Stimulation (2019) (16)
- An Observer/Predictor-Based Model of the User for Attaining Situation Awareness (2016) (16)
- Impact of the correlation between forward and backscatter channels on RFID system performance (2011) (15)
- Small effect size leads to reproducibility failure in resting-state fMRI studies (2018) (15)
- A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia (2014) (15)
- Underdetermined Joint Blind Source Separation for Two Datasets Based on Tensor Decomposition (2016) (15)
- A Three-Step Multimodal Analysis Framework for Modeling Corticomuscular Activity With Application to Parkinson’s Disease (2014) (15)
- Decreased subregional specificity of the putamen in Parkinson's Disease revealed by dynamic connectivity-derived parcellation (2018) (14)
- Ll-regularization based EEG feature learning for detecting epileptic seizure (2016) (14)
- Correlation-and-bit-aware multiplicative spread spectrum embedding for data hiding (2013) (14)
- Query Diversity Schemes for Backscatter RFID Communications With Single-Antenna Tags (2017) (13)
- Mid-level deep Food Part mining for food image recognition (2018) (13)
- Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space With Softplus Loss (2019) (13)
- Towards Universal Physical Attacks On Cascaded Camera-Lidar 3d Object Detection Models (2021) (13)
- Incorporating clinical knowledge with constrained classifier chain into a multimodal deep network for melanoma detection (2021) (13)
- RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval (2018) (13)
- Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey (2021) (13)
- A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference (2012) (12)
- High-Density Surface EMG Denoising Using Independent Vector Analysis (2020) (12)
- Deep learning enhances polarization speckle for in vivo skin cancer detection (2021) (12)
- A Survey of Secure Routing Protocols in Multi-Hop Cellular Networks (2018) (12)
- On the Existence and Design of Functional Observers for LTI Systems, with Application to User Modeling (2016) (12)
- Probabilistic Boolean Network Analysis of Brain Connectivity in Parkinson's Disease (2008) (12)
- Dynamic Bayesian networks (DBNS) demonstrate impaired brain connectivity during performance of simultaneous movements in Parkinson's disease (2006) (11)
- A Deep Learning Based Attack for The Chaos-based Image Encryption (2019) (11)
- Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis (2013) (11)
- Dense-Residual Attention Network for Skin Lesion Segmentation (2019) (11)
- Multilabel Aerial Image Classification With a Concept Attention Graph Neural Network (2021) (11)
- A novel quantization-based watermarking approach invariant to gain attack (2013) (10)
- Automated Design of Neural Network Architectures With Reinforcement Learning for Detection of Global Manipulations (2020) (10)
- Partial directed coherence-based information flow in Parkinson's disease patients performing a visually-guided motor task (2009) (10)
- Superpixel-based image recognition for food images (2016) (10)
- Network modeling and analysis of lumbar muscle surface EMG signals during flexion-extension in individuals with and without low back pain. (2011) (10)
- Attention-Aware Pseudo-3-D Convolutional Neural Network for Hyperspectral Image Classification (2021) (10)
- Automatic detection of basal cell carcinoma using vascular-extracted features from dermoscopy images (2016) (10)
- Bridging the Gap Between 2D and 3D Contexts in CT Volume for Liver and Tumor Segmentation (2021) (10)
- FMRI group studies of brain connectivity via a group robust Lasso (2010) (10)
- A Strong Adaptive, Strategic Double-Spending Attack on Blockchains (2018) (9)
- Multi-view 3D Reconstruction with Transformer (2021) (9)
- Correlation-and-bit-aware additive spread spectrum data hiding for Laplacian distributed host image signals (2014) (9)
- CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks (2019) (9)
- A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity (2007) (8)
- Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection (2021) (8)
- Zero-Shot Classification Based on Multitask Mixed Attribute Relations and Attribute-Specific Features (2020) (8)
- Efficient blind decoders for additive spread spectrum embedding based data hiding (2012) (8)
- Learning brain connectivity with the false-discovery-rate-controlled PC-algorithm (2008) (8)
- A Framework of Multiplicative Spread Spectrum Embedding for Data Hiding: Performance, Decoder and Signature Design (2009) (8)
- A Joint Optimization Framework for IRS-Assisted Energy Self-Sustainable IoT Networks (2022) (8)
- An improved scalar quantization-based digital video watermarking scheme for H.264/AVC (2006) (8)
- SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for Lightweight Skin Lesion Classification Using Dermoscopic Images (2022) (7)
- A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks (2016) (7)
- Delay-incorporating observability and predictability analysis of safety-critical continuous-time systems (2015) (7)
- Efficient Minimax Estimation of a Class of High-Dimensional Sparse Precision Matrices (2012) (7)
- A Convolutional Neural Network Approach for 2D/3D Medical Image Registration (2015) (7)
- Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection (2020) (7)
- Convolutional Neural Networks for Robust and Real-Time 2-D/3-D Registration (2017) (7)
- CHAIN: Concept-harmonized Hierarchical Inference Interpretation of Deep Convolutional Neural Networks (2020) (7)
- A Framework of Camera Source Identification Bayesian Game (2017) (7)
- Both Stationary and Dynamic Functional Interhemispheric Connectivity Are Strongly Associated With Performance on Cognitive Tests in Multiple Sclerosis (2020) (7)
- Dual Adversarial Network for Unsupervised Ground/Satellite-to-Aerial Scene Adaptation (2020) (6)
- Depthwise Separable Convolutional Neural Network for Image Forensics (2019) (6)
- Robust recognition of human activities using smartphone sensor data (2017) (6)
- Observability Analysis of Continuous‐Time LTI Systems with Limited Derivative Data (2014) (6)
- Generalizable Neural Radiance Fields for Novel View Synthesis with Transformer (2022) (6)
- A Time-Varying Eigenspectrum/SVM Method for Semg Classification of Reaching Movements in Healthy and Stroke Subjects (2006) (5)
- Asymptotic analysis of the Huberized LASSO estimator (2010) (5)
- Underdetermined joint blind source separation based on tensor decomposition (2016) (5)
- EEG source extraction by autoregressive source separation reveals abnormal synchronization in Parkinson's disease (2009) (5)
- Spread spectrum image data hiding in the encrypted discrete cosine transform coefficients (2013) (5)
- Coarse-to-Fine Image DeHashing Using Deep Pyramidal Residual Learning (2019) (5)
- AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation (2021) (5)
- Performance of General STCs Over Spatially Correlated MIMO Single-Keyhole Channels (2013) (5)
- Real-time 6DoF pose recovery from X-ray images using library-based DRR and hybrid optimization (2016) (5)
- A Low-Complexity Quantum Principal Component Analysis Algorithm (2022) (5)
- Galvanic Vestibular Stimulation Improves Subnetwork Interactions in Parkinson's Disease (2021) (5)
- Multilabel Aerial Image Classification With Unsupervised Domain Adaptation (2021) (5)
- Feature selection to simplify BDI for efficient depression identification (2016) (5)
- Connectivity-based parcellation of functional SubROIs in putamen using a sparse spatially regularized regression model (2016) (5)
- An Adaptive Descriptor Design for Object Recognition in the Wild (2013) (4)
- Controlling the false discovery rate in modeling brain functional connectivity (2008) (4)
- Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical Interpretation (2019) (4)
- Dynamic MR-based respiratory motion compensation for hybrid PET/MR system (2014) (4)
- Unifying Top–Down Views by Task-Specific Domain Adaptation (2021) (4)
- A Windowed Eigenspectrum Method for Multivariate sEMG Classification During Reaching Movements (2008) (4)
- Parkinson's Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks (2020) (4)
- Modeling the User as an Observer to Determine Display Information Requirements (2013) (4)
- An FDR-controlled, exploratory group modeling for assessing brain connectivity (2012) (4)
- Dynamic analysis of Probabilistic Boolean Network for fMRI study in Parkinson's Disease (2008) (4)
- Image Watermarking in Higher-Order Gradient Domain (2012) (4)
- Knowledge-Based Fault Diagnosis in Industrial Internet of Things: A Survey (2022) (4)
- Novel Regional Activity Representation With Constrained Canonical Correlation Analysis for Brain Connectivity Network Estimation (2020) (4)
- Introduction to the Issue on fMRI Analysis for Human Brain Mapping (2008) (4)
- A delayed functional observer/predictor with bounded-error for depth of hypnosis monitoring (2017) (4)
- SCIDA: Self-Correction Integrated Domain Adaptation From Single- to Multi-Label Aerial Images (2021) (3)
- Feature-Flow Interpretation of Deep Convolutional Neural Networks (2020) (3)
- Study of stroke condition and hand dominance using a hidden Markov, multivariate autoregressive (HMM-mAR) network framework (2008) (3)
- Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework (2021) (3)
- One-shot Recognition Using Unsupervised Attribute-Learning (2010) (3)
- A Better Than Alamouti OSTBC for MIMO Backscatter Communications (2022) (3)
- Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms. (2020) (3)
- Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification (2020) (3)
- Towards automated image hashing based on the Fast Johnson-Lindenstrauss Transform (FJLT) (2009) (3)
- DA-IMRN: Dual-Attention-Guided Interactive Multi-Scale Residual Network for Hyperspectral Image Classification (2022) (3)
- Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex (2022) (3)
- Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression (2021) (3)
- Classifying Melanoma and Seborrheic Keratosis Automatically with Polarization Speckle Imaging (2019) (3)
- Automatic detection of translucency using a deep learning method from patches of clinical basal cell carcinoma images (2018) (3)
- Energy Efficient EEG Monitoring System for Wireless Epileptic Seizure Detection (2016) (3)
- Community detection from genomic datasets across human cancers (2016) (3)
- Auto-Generating Neural Networks with Reinforcement Learning for Multi-Purpose Image Forensics (2020) (2)
- Transformer-Based End-to-End Anatomical and Functional Image Fusion (2022) (2)
- ShuffleCount: Task-Specific Knowledge Distillation for Crowd Counting (2021) (2)
- Image and Video Copy Detection Using Content-Based Fingerprinting (2012) (2)
- Shape context based image hashing using local feature points (2011) (2)
- But not a-band EEG connectivity has implications for dual task performance in Parkinson ’ s disease q (2010) (2)
- Rethinking Crowdsourcing Annotation: Partial Annotation With Salient Labels for Multilabel Aerial Image Classification (2021) (2)
- Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data (2007) (2)
- Connectivity-based parcellation of putamen using resting state fMRI data (2015) (2)
- Parcellation of functional sub-regions from fMRI: A graph clustering based approach (2019) (2)
- Wavelet-based gradient transform and its applications (2012) (2)
- Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications (2013) (2)
- Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation (2021) (2)
- A new data hiding method using angle quantization index modulation in gradient domain (2011) (2)
- A tridirectional method for corticomuscular coupling analysis in Parkinson's disease (2012) (2)
- Computer-aided detection of basal cell carcinoma through blood content analysis in dermoscopy images (2018) (2)
- Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference (2021) (2)
- Image Inpainting Detection Based on a Modified Formulation of Canonical Correlation Analysis (2018) (2)
- Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks (2021) (2)
- Mutual information based relevance network analysis: a Parkinson’S disease study (2008) (2)
- MRI-based motion estimation via scatter to volume registration (2015) (2)
- Xnet: Task-specific attentional domain adaptation for satellite-to-aerial scene (2020) (2)
- Multiple Intelligent Reflecting Surfaces Assisted Cell-Free MIMO Communications (2020) (2)
- A Joint Power Splitting, Active and Passive Beamforming Optimization Framework for IRS Assisted MIMO SWIPT System (2021) (2)
- Watermark survival chance (WSC) concept for improving watermark robustness against JPEG compression (2010) (2)
- Modeling the User as an Observer to Determine Display Information Requirements (2013) (2)
- Self-supervised 3D human pose estimation from video (2022) (2)
- Relevance Network Modeling for Muscle Association Pattern in Reaching Movements (2007) (1)
- A Simple Self-Supervised IMU Denoising Method for Inertial Aided Navigation (2023) (1)
- On the performance of MIMO RFID backscattering channels (2012) (1)
- Scatter to volume registration for model-free respiratory motion estimation from dynamic MRIs (2016) (1)
- Distributed Knowledge Inference Framework for Intelligent Fault Diagnosis in IIoT Systems (2022) (1)
- A Sparse Unified Structural Equation Modeling Approach for Brain Connectivity Analysis (2008) (1)
- Efficient subsampling of realistic images from GANs conditional on a class or a continuous variable (2021) (1)
- Time varying brain connectivity modeling using FMRI signals (2014) (1)
- Probabilistic Boolean Network for inferring brain connectivity using FMRI data (2008) (1)
- Efficient blind decoders for additive spread spectrum embedding based data hiding (2012) (1)
- A Load-Balancing Divide-and-Conquer SVM Solver (2017) (1)
- TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video (2021) (1)
- Multiblock PLS model for group corticomuscular activity analysis in Parkinson disease (2010) (1)
- Cross-domain object recognition by output kernel learning (2012) (1)
- LiCaS3: A Simple LiDAR–Camera Self-Supervised Synchronization Method (2022) (1)
- Correlation-aware data hiding based on spread spectrum embedding (2010) (1)
- False discovery rate controller for functional brain parcellation (2016) (1)
- Improved multiplicative spread spectrum embedding for image data hiding (2011) (1)
- Bayesian Network Modeling For Discovering "Directed Synergies" Among Muscles in Reaching Movements (2006) (1)
- Joint time invariant and time dependent brain connectivity network estimation (2016) (0)
- A multi-purpose image forensic method using densely connected convolutional neural networks (2019) (0)
- Weighted Sum-Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Cell MU-MIMO Communications (2020) (0)
- Robust Joint Design for Intelligent Reflecting Surfaces Assisted Cell-Free Networks (2022) (0)
- Block-Level Unitary Query: Incorporating Orthogonal-like Space-time Code with Query Diversity for MIMO Backscatter RFID (2015) (0)
- Minimum mean square error detector for multimessage spread spectrum embedding (2009) (0)
- Supplementary Material: Multi-view 3D Reconstruction with Transformers (2021) (0)
- MPSK Orthogonal Coset Identification for Massive RFID Network (2021) (0)
- Connectivity-based parcellation of functional sub-regions from brain fMRI signals (2017) (0)
- Sparse unmixing based on feature pixels for hyperspectral imagery (2017) (0)
- A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinsons disease (2021) (0)
- An improved MSM-CDN architecture and its request routing policy (2013) (0)
- Non-parametric orthogonal slice to volume deformable registration: Application to PET/MR respiratory motion compensation (2014) (0)
- PA-Tran: Learning to Estimate 3D Hand Pose with Partial Annotation (2023) (0)
- A Multimodal data fusion approach efficiently predicts disease duration in multiple sclerosis (2016) (0)
- Message from Technical Chairs (2014) (0)
- Metric based Gaussian kernel learning for classification (2013) (0)
- Towards Open-World EEG Decoding via Deep Learning (2021) (0)
- Multi-modal Streaming 3D Object Detection (2022) (0)
- Multimodal Image Fusion via Self-Supervised Transformer (2023) (0)
- A host rejected spread spectrum embedding scheme for data hiding (2010) (0)
- Computer Assisted Reading of Chest Radiographs (2019) (0)
- Assessing functional connectivity of brainstem nuclei in fMRI data (2017) (0)
- Efficient Density Ratio-Guided Subsampling of Conditional GANs, With Conditioning on a Class or a Continuous Variable (2021) (0)
- Automatic region of interest extraction in food baking images (2014) (0)
- Large covariance matrix estimation: Bridging shrinkage and tapering approaches (2012) (0)
- Occlusion-Robust FAU Recognition by Mining Latent Space of Masked Autoencoders (2022) (0)
- Brain Connectivity Assessed with Functional MRI (2017) (0)
- Cross-Domain Few-Shot Contrastive Learning for Hyperspectral Images Classification (2022) (0)
- A hybrid RLC-Turbo codec scheme in Distributed Video Coding (2012) (0)
- A Multivariate Approach for Denoising of T2 Relaxation Decay Curves in Myelin Water Fraction Imaging (2019) (0)
- Multi-channel content based image retrieval method for skin diseases using similarity network fusion and deep community analysis (2022) (0)
- Forensics and counter anti-forensics of video inter-frame forgery (2015) (0)
- Incorporating Error-Rate-Controlled Prior in Modelling Brain Functional Connectivity (2009) (0)
- Reaching a Better Trade-Off Between Image Quality and Attack Success Rates in Transfer-Based Adversarial Attacks (2022) (0)
- A Convolutional Neural Network Approach for 2 D / 3 D Medical Image Registration (2015) (0)
- Relay-Aided Double-Hop RISs-Empowered Outdoor-to-Indoor Communications (2022) (0)
- Least square filtering for low-delay transform domain Wyner-Ziv video coding (2012) (0)
- OCSID: Orthogonal Accessing Control Without Spectrum Spreading for Massive RFID Network (2021) (0)
- Effects of Vertical Fluctuations on Air-to-Ground mmWave UAV Communications (2022) (0)
- Performance Bound of the Start of Frame Delimiters (2021) (0)
- Joint Precoding for Active Intelligent Transmitting Surface Empowered Outdoor-to-Indoor Communication in mmWave Cellular Networks (2022) (0)
- Joint Transceiver and IRS Design in MIMO PS-SWIPT System (2021) (0)
- A Feature Article Cluster on Brain Signal Analytics: Analytical Approaches to Enhanced Understanding of Brain Function From the Editors (2016) (0)
- Effect of Transmission Correlations on the Performance of General Space-time Codes in Single-Keyhole Channels (2013) (0)
- P3.131 Abnormal cerebellar activity in Parkinson's disease – a network perturbation approach (2009) (0)
- Image Generation Using Continuous Conditional Generative Adversarial Networks (2022) (0)
This paper list is powered by the following services:
Other Resources About Zhen Jane Wang
What Schools Are Affiliated With Zhen Jane Wang?
Zhen Jane Wang is affiliated with the following schools:
