Haiping Lu

Orcid: 0000-0002-0349-2181

According to our database1, Haiping Lu authored at least 89 papers between 2002 and 2024.

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Bibliography

2024
Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance.
CoRR, 2024

Heterogeneous graph attention network improves cancer multiomics integration.
CoRR, 2024

Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network.
CoRR, 2024

Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment.
CoRR, 2024

MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment.
CoRR, 2024

Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

SkelEx and BoundEx - Geometrical Framework for Interpretable ReLU Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
First-Person Video Domain Adaptation With Multi-Scene Cross-Site Datasets and Attention-Based Methods.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Trustworthiness-aware knowledge graph representation for recommendation.
Knowl. Based Syst., October, 2023

Uncertainty Estimation for Heatmap-Based Landmark Localization.
IEEE Trans. Medical Imaging, April, 2023

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
Nat. Mac. Intell., February, 2023

Medical artificial intelligence is as much social as it is technological.
Nat. Mac. Intell., January, 2023

Multimodal Learning for Multi-omics: A Survey.
World Sci. Annu. Rev. Artif. Intell., 2023

Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity.
IEEE Trans. Medical Imaging, 2023

GripNet: Graph information propagation on supergraph for heterogeneous graphs.
Pattern Recognit., 2023

Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction.
CoRR, 2023

SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks.
CoRR, 2023

Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022
Direct ICA on data tensor via random matrix modeling.
Signal Process., 2022

Node-Feature Convolution for Graph Convolutional Networks.
Pattern Recognit., 2022

Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation.
CoRR, 2022

A GNN-based Multi-task Learning Framework for Personalized Video Search.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Multi-agent Feature Selection for Integrative Multi-omics Analysis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations.
IEEE Trans. Cybern., 2021

Mixed-order spectral clustering for complex networks.
Pattern Recognit., 2021

Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.
Medical Image Anal., 2021

Evaluating Transformers for Lightweight Action Recognition.
CoRR, 2021

Channel-Temporal Attention for First-Person Video Domain Adaptation.
CoRR, 2021

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.
CoRR, 2021

Confidence-Quantifying Landmark Localisation For Cardiac MRI.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Improving Negative Sampling in Graph Neural Networks for Predicting Drug-Drug Interactions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Unifying Homophily and Heterophily Network Transformation via Motifs.
CoRR, 2020

Hop-Hop Relation-aware Graph Neural Networks.
CoRR, 2020

GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs.
CoRR, 2020

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.
CoRR, 2020

Tri-graph Information Propagation for Polypharmacy Side Effect Prediction.
CoRR, 2020

Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Feature-Importance-Aware and Robust Aggregator for GCN.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2019

Corrigendum to "Joint interaction with context operation for collaborative filtering" [Pattern Recognition 88 (2019) 729-738].
Pattern Recognit., 2019

Joint interaction with context operation for collaborative filtering.
Pattern Recognit., 2019

Domain Independent SVM for Transfer Learning in Brain Decoding.
CoRR, 2019

Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018
Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Mixed-Order Spectral Clustering for Networks.
CoRR, 2018

Graph Node-Feature Convolution for Representation Learning.
CoRR, 2018

2017
Tensor Rank Estimation and Completion via CP-based Nuclear Norm.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Probabilistic Rank-One Matrix Analysis with Concurrent Regularization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015
Learning Tensor-Based Features for Whole-Brain fMRI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Semi-Orthogonal Multilinear PCA with Relaxed Start.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2013
Quantifying Limb Movements in Epileptic Seizures Through Color-Based Video Analysis.
IEEE Trans. Biomed. Eng., 2013

Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning Canonical Correlations of Paired Tensor Sets Via Tensor-to-Vector Projection.
Proceedings of the IJCAI 2013, 2013

2012
Non-intrusive head movement analysis of videotaped seizures of epileptic origin.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
A survey of multilinear subspace learning for tensor data.
Pattern Recognit., 2011

Markerless video analysis for movement quantification in pediatric epilepsy monitoring.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Fuzzy key binding strategies based on quantization index modulation (QIM) for biometric encryption (BE) applications.
IEEE Trans. Inf. Forensics Secur., 2010

Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting.
IEEE Trans. Biomed. Eng., 2010

Visualization and clustering of crowd video content in MPCA subspace.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning.
IEEE Trans. Neural Networks, 2009

Uncorrelated Multilinear Discriminant Analysis With Regularization and Aggregation for Tensor Object Recognition.
IEEE Trans. Neural Networks, 2009

A Biometric Encryption System for the Self-Exclusion Scenario of Face Recognition.
IEEE Syst. J., 2009

Gaussian kernel optimization for pattern classification.
Pattern Recognit., 2009

Boosting Discriminant Learners for Gait Recognition Using MPCA Features.
EURASIP J. Image Video Process., 2009

Face recognition with biometric encryption for privacy-enhancing self-exclusion.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2008
MPCA: Multilinear Principal Component Analysis of Tensor Objects.
IEEE Trans. Neural Networks, 2008

A Full-Body Layered Deformable Model for Automatic Model-Based Gait Recognition.
EURASIP J. Adv. Signal Process., 2008

Uncorrelated multilinear principal component analysis through successive variance maximization.
Proceedings of the Machine Learning, 2008

2006
Multilinear Principal Component Analysis of Tensor Objects for Recognition.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Coarse-to-Fine Pedestrian Localization and Silhouette Extraction for the Gait Challenge Data Sets.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

A Layered Deformable Model for Gait Analysis.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

2005
Binary Image Watermarking Through Blurring, Biased Binarization.
Int. J. Image Graph., 2005

2004
Distance-reciprocal distortion measure for binary document images.
IEEE Signal Process. Lett., 2004

2003
Secure data hiding in binary document images for authentication.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Binary image watermarking through biased binarization.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002
An Objective Distortion Measure for Binary Document Images Based on Human Visual Perceptio.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Effective and efficient fingerprint image postprocessing.
Proceedings of the Seventh International Conference on Control, 2002

Watermark embedding in DC components of DCT for binary images.
Proceedings of the IEEE 5th Workshop on Multimedia Signal Processing, 2002


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