Zhen Liang
Orcid: 0000-0002-1171-7061
According to our database1,
Zhen Liang
authored at least 91 papers
between 2009 and 2024.
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Bibliography
2024
Multimodal Sensing for Depression Risk Detection: Integrating Audio, Video, and Text Data.
Sensors, June, 2024
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Seeing through the Tactile: 3D Human Shape Estimation from Temporal In-Bed Pressure Images.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024
J. Comput. Chem., March, 2024
Effect Predictor of Driver Synonymous Mutations Based on Multi-Feature Fusion and Iterative Feature Representation Learning.
IEEE J. Biomed. Health Informatics, February, 2024
Multim. Tools Appl., February, 2024
Frontiers Comput. Sci., February, 2024
PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals.
IEEE Trans. Affect. Comput., 2024
Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition.
IEEE Trans. Affect. Comput., 2024
Sci. Comput. Program., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
CoRR, 2024
Emotion-Agent: Unsupervised Deep Reinforcement Learning with Distribution-Prototype Reward for Continuous Emotional EEG Analysis.
CoRR, 2024
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition.
CoRR, 2024
CoRR, 2024
Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images.
CoRR, 2024
MDDD: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition.
CoRR, 2024
Joint Contrastive Learning with Feature Alignment for Cross-Corpus EEG-based Emotion Recognition.
CoRR, 2024
CoRR, 2024
Temporal aware Mixed Attention-based Convolution and Transformer Network for cross-subject EEG emotion recognition.
Comput. Biol. Medicine, 2024
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Objective Evaluation of VR Sickness and Analysis of Its Relationship with VR Presence.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
EmoTVR: A Hybrid Model to Estimate Continuous-Time and Continuous-Level Emotion from Electroencephalography.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Formal Methods - 26th International Symposium, 2024
Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024
Proceedings of the Computer Aided Verification - 36th International Conference, 2024
2023
Towards robust neural networks via a global and monotonically decreasing robustness training strategy.
Frontiers Inf. Technol. Electron. Eng., October, 2023
Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience.
NeuroImage, April, 2023
ComMap: a software to perform large-scale structure-based mapping for cross-linking mass spectrometry.
Bioinform., February, 2023
A Novel Channel Inconsistency Calibration Algorithm for Azimuth Multichannel SAR Based on Fourth-Order Cumulant.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition.
CoRR, 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition.
CoRR, 2023
Proceedings of the Theoretical Aspects of Software Engineering, 2023
Proceedings of the High Performance Computing, 2023
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023
Gym Exercises Monitoring with Smart Gloves: Exercise Recognition, Repetition Counting, and Imbalance Quantification.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Proceedings of the Automated Technology for Verification and Analysis, 2023
2022
Neural Networks, 2022
M<sup>3</sup>CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge.
NeuroImage, 2022
A new perspective on individual reliability beyond group effect for event-related potentials: A multisensory investigation and computational modeling.
NeuroImage, 2022
Mob. Networks Appl., 2022
Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial-temporal regularizations.
Neurocomputing, 2022
Neurocomputing, 2022
Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition.
CoRR, 2022
A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition.
CoRR, 2022
Overall optimization of CSP based on ensemble learning for motor imagery EEG decoding.
Biomed. Signal Process. Control., 2022
SpotLink enables sensitive and precise identification of site nonspecific cross-links at the proteome scale.
Briefings Bioinform., 2022
A Novel Method to Preserve Scale-Free Property for the Inference of Dynamic Effective Connectivity Networks From fMRI.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
New Channel Errors Estimation Method for Multichannel SAR Based on Virtual Calibration Source.
Remote. Sens., 2021
Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses.
NeuroImage, 2021
Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI.
Neurocomputing, 2021
Real-time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector.
IET Image Process., 2021
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition.
CoRR, 2021
Neural dynamics of closed-loop alpha wave modulation via phase-locked visual feedback.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Cross-Sessions and Cross-Paradigms Analysis for the Problem of Brain-Computer Interface Inefficiency<sup>*</sup>.
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021
Proceedings of the ICBSP 2021: 6th International Conference on Biomedical Imaging, Signal Processing, Xiamen, China, October 29, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
An Imaging Genetics Study Based on Brain-wide Genome-wide Association for Identifying Quantitative Trait Loci Related to Pain Sensitivity.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
2020
A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI.
IEEE Trans. Fuzzy Syst., 2020
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
Proceedings of the Supercomputing Frontiers - 6th Asian Conference, 2020
The Real Time EEG Phase Locked Feedback Control for Alpha Amplitude and Frequency Regulation: An OpenBCI Implementation.
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Science, 2020
An Autoencoder-based Approach to Predict Subjective Pain Perception from High-density Evoked EEG Potentials.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
Characterization of electroencephalography signals for estimating saliency features in videos.
Neural Networks, 2018
Fully-integrated linear CMOS power amplifier with proportional series combining transformer for S-Band applications.
IEICE Electron. Express, 2018
2017
Novel Concrete Temperature Monitoring Method Based on an Embedded Passive RFID Sensor Tag.
Sensors, 2017
A Low Cost BLE Transceiver with RX Matching Network Reusing PA Load Inductor for WSNs Applications.
Sensors, 2017
Proceedings of the 2017 International Symposium on VLSI Design, Automation and Test, 2017
A four-band TD-LTE transmitter with wide dynamic range and LPF bandwidth calibration.
Proceedings of the 2017 International Symposium on VLSI Design, Automation and Test, 2017
2016
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016
2015
Int. J. Circuit Theory Appl., 2015
A combined convolutional neural network and potential region-of-interest model for saliency detection.
Proceedings of the 11th International Conference on Natural Computation, 2015
2014
Relative Saliency Model over Multiple Images with an Application to Yarn Surface Evaluation.
IEEE Trans. Cybern., 2014
2012
Salient object detection using content-sensitive hypergraph representation and partitioning.
Pattern Recognit., 2012
Hypergraph-based saliency map generation with potential region-of-interest approximation and validation.
J. Electronic Imaging, 2012
Intelligent characterization and evaluation of yarn surface appearance using saliency map analysis, wavelet transform and fuzzy ARTMAP neural network.
Expert Syst. Appl., 2012
Proceedings of the 2012 Symposium on Eye-Tracking Research and Applications, 2012
2011
J. Exp. Theor. Artif. Intell., 2011
2010
Proceedings of the International Conference on Image Processing, 2010
Eye movement as an interaction mechanism for relevance feedback in a content-based image retrieval system.
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010
Content-based image retrieval using a combination of visual features and eye tracking data.
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010
2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009