Lianghua He

Orcid: 0000-0002-5250-170X

According to our database1, Lianghua He authored at least 76 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Explainability of Speech Recognition Transformers via Gradient-Based Attention Visualization.
IEEE Trans. Multim., 2024

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks.
IEEE Trans. Multim., 2024

Visual Neural Decoding via Improved Visual-EEG Semantic Consistency.
CoRR, 2024

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation.
CoRR, 2024

Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization.
CoRR, 2024

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection.
CoRR, 2024

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation.
CoRR, 2024

AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image.
CoRR, 2024

IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume.
Biomed. Signal Process. Control., 2024

2023
A multi-grained unsupervised domain adaptation approach for semantic segmentation.
Pattern Recognit., December, 2023

Learning Smooth Representation for Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations.
CoRR, 2023

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks.
CoRR, 2023

MMEL: A Joint Learning Framework for Multi-Mention Entity Linking.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

EEG-Based Emotion Analysis Using Person-Event Network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Mutually Guided Few-Shot Learning For Relational Triple Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2023

Few-Shot Relational Triple Extraction Based on Evaluation of Token-Level Semantic Similarity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Deep-Learning-Based Initial Access Method for Millimeter-Wave MIMO Systems.
IEEE Wirel. Commun. Lett., 2022

DProtoNet: Decoupling Prototype Activation via Multiple Dynamic Masks.
CoRR, 2022

MDM: Visual Explanations for Neural Networks via Multiple Dynamic Mask.
CoRR, 2022

Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning.
CoRR, 2022

Revitalize Region Feature for Democratizing Video-Language Pre-training.
CoRR, 2022

2021
Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System.
IEEE Internet Things J., 2021

Sparse Common Feature Representation for Undersampled Face Recognition.
IEEE Internet Things J., 2021

Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint.
CoRR, 2021

Part2Whole: Iteratively Enrich Detail for Cross-Modal Retrieval with Partial Query.
CoRR, 2021

Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Low-Complexity Deep-Learning-Based DOA Estimation for Hybrid Massive MIMO Systems With Uniform Circular Arrays.
IEEE Wirel. Commun. Lett., 2020

Unsupervised Domain Adaptation With Adversarial Residual Transform Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Gabor Feature-Based LogDemons With Inertial Constraint for Nonrigid Image Registration.
IEEE Trans. Image Process., 2020

Adversarial Transform Networks for Unsupervised Transfer Learning.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Segmenting Medical MRI via Recurrent Decoding Cell.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Secure Transmission in Multi-Cell Multi-User Massive MIMO Systems With an Active Eavesdropper.
IEEE Wirel. Commun. Lett., 2019

Incorporation of Structural Tensor and Driving Force Into Log-Demons for Large-Deformation Image Registration.
IEEE Trans. Image Process., 2019

Sparse Low-Rank Component-Based Representation for Face Recognition With Low-Quality Images.
IEEE Trans. Inf. Forensics Secur., 2019

Adaptive Routing Between Capsules.
CoRR, 2019

Learning Smooth Representation for Unsupervised Domain Adaptation.
CoRR, 2019

Virtual Conditional Generative Adversarial Networks.
CoRR, 2019

Orientation Analysis for Chinese News Based on Word Embedding and Syntax Rules.
IEEE Access, 2019

Convolutional Neural Network for Resting State EEG Signal Analysis.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

2018
A Novel Forward-Link Multiplexed Scheme in Satellite-Based Internet of Things.
IEEE Internet Things J., 2018

Effective Sample Synthesizing in Kernel Space for Imbalanced Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Channel Estimation for FDD Massive MIMO OFDM Systems.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

General-to-Specialized Analysis Based on Deep Belief Network.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Semi-Blind Pilot Decontamination for Massive MIMO Systems.
IEEE Trans. Wirel. Commun., 2016

Common Bayesian Network for Classification of EEG-Based Multiclass Motor Imagery BCI.
IEEE Trans. Syst. Man Cybern. Syst., 2016

基于Q学习和动态权重的改进的区域交通信号控制方法 (Promoted Traffic Control Strategy Based on Q Learning and Dynamic Weight).
计算机科学, 2016

Motor imagery EEG signals analysis based on Bayesian network with Gaussian distribution.
Neurocomputing, 2016

Face recognition using discriminative locality preserving vectors.
Digit. Signal Process., 2016

2015
Null space based discriminant sparse representation large margin for face recognition.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Multi-channel features based automated segmentation of diffusion tensor imaging using an improved FCM with spatial constraints.
Neurocomputing, 2014

Discrimination of ADHD Based on fMRI Data with Deep Belief Network.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Motor Imagery EEG Signals Analysis Based on Bayesian Network with Gaussian Distribution.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

ADHD-200 Classification Based on Social Network Method.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

A Deep Learning Method for Classification of EEG Data Based on Motor Imagery.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Classification on ADHD with Deep Learning.
Proceedings of the International Conference on Cloud Computing and Big Data, 2014

ADHD Discrimination Based on Social Network.
Proceedings of the International Conference on Cloud Computing and Big Data, 2014

Deep Learning in the EEG Diagnosis of Alzheimer's Disease.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
A New Sparse Channel Estimation and Tracking Method for Time-Varying OFDM Systems.
IEEE Trans. Veh. Technol., 2013

Asynchronous Brain-Computer Interface Based on Steady-State Visual-Evoked Potential.
Cogn. Comput., 2013

2012
A classifier for Bangla handwritten numeral recognition.
Expert Syst. Appl., 2012

Face recognition using difference vector plus KPCA.
Digit. Signal Process., 2012

A Co-adaptive Training Paradigm for Motor Imagery Based Brain-Computer Interface.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Discriminative common vectors based on the Gram-Schmidt reorthogonalization for the small sample size problem.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
An Efficient Pilot Design Method for OFDM-Based Cognitive Radio Systems.
IEEE Trans. Wirel. Commun., 2011

An Improved Locally Linear Embedding for Sparse Data Sets.
Int. J. Pattern Recognit. Artif. Intell., 2011

2010
Pilot Design for Channel Estimation in OFDM-Based Cognitive Radio Systems.
Proceedings of the Global Communications Conference, 2010

2006
Optimal pilot sequence design for channel estimation in MIMO OFDM systems.
IEEE Commun. Lett., 2006

Joint pilot tone and channel estimator design for OFDM systems.
IEEE Commun. Lett., 2006

Principal Component Net Analysis for Face Recognition.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Estimation of Rapidly Time-Varying Channels for OFDM Systems.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Boosted Independent Features for Face Expression Recognition.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Optimal pilot sequence design for multiple-input multiple-output OFDM systems.
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005

2004
Optimal Shape Space and Searching in ASM Based Face Alignment.
Proceedings of the Advances in Biometric Person Authentication, 2004


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