Haiping Lu

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 66

Top Topics

Spectral Clustering

Landmark Localization

Domain Adaptation

Information Propagation

Top Venues

Pattern Recognit.

Publications

Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment. CoRR (2024)
Md. Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection. CoRR (2024)
Prasun C. Tripathi, Sina Tabakhi, Mohammod Naimul Islam Suvon, Lawrence Andrew Schobs, Samer Alabed, Andrew J. Swift, Shuo Zhou, Haiping Lu
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. CoRR (2024)
Shuo Zhou, Junhao Luo, Yaya Jiang, Haolin Wang, Haiping Lu, Gaolang Gong
Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network. CoRR (2024)
Lawrence Schobs, Thomas M. McDonald, Haiping Lu
Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes. UNSURE@MICCAI (2023)
Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu
Uncertainty Estimation for Heatmap-Based Landmark Localization. IEEE Trans. Medical Imaging 42 (4) (2023)
Yan Ge, Jun Ma, Li Zhang, Xiang Li, Haiping Lu
Trustworthiness-aware knowledge graph representation for recommendation. Knowl. Based Syst. 278 (2023)
Pawel Pukowski, Haiping Lu
SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks. CoRR (2023)
Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu
Multimodal Learning for Multi-omics: A Survey. World Sci. Annu. Rev. Artif. Intell. 1 (2023)
Mwiza Kunda, Shuo Zhou, Gaolang Gong, Haiping Lu
Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity. IEEE Trans. Medical Imaging 42 (1) (2023)
Annamaria Carusi, Peter D. Winter, Iain Armstrong, Fabio Ciravegna, David G. Kiely, Allan Lawrie, Haiping Lu, Ian Sabroe, Andy Swift
Medical artificial intelligence is as much social as it is technological. Nat. Mac. Intell. 5 (2) (2023)
Xianyuan Liu, Shuo Zhou, Tao Lei, Ping Jiang, Zhixiang Chen, Haiping Lu
First-Person Video Domain Adaptation With Multi-Scene Cross-Site Datasets and Attention-Based Methods. IEEE Trans. Circuits Syst. Video Technol. 33 (12) (2023)
Hao Xu, Shengqi Sang, Peizhen Bai, Ruike Li, Laurence Yang, Haiping Lu
GripNet: Graph information propagation on supergraph for heterogeneous graphs. Pattern Recognit. 133 (2023)
Peizhen Bai, Xianyuan Liu, Haiping Lu
Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction. CoRR (2023)
Prasun C. Tripathi, Mohammod Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. CoRR (2023)
Prasun C. Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. MICCAI (7) (2023)
Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu
Interpretable bilinear attention network with domain adaptation improves drug-target prediction. Nat. Mac. Intell. 5 (2) (2023)
Sina Tabakhi, Haiping Lu
Multi-agent Feature Selection for Integrative Multi-omics Analysis. EMBC (2022)
Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CIKM (2022)
Liyan Song, Shuo Zhou, Haiping Lu
Direct ICA on data tensor via random matrix modeling. Signal Process. 196 (2022)
Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu
A GNN-based Multi-task Learning Framework for Personalized Video Search. WSDM (2022)
Li Zhang, Yan Ge, Jun Ma, Jianmo Ni, Haiping Lu
Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation. CoRR (2022)
Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu
Multimodal Learning for Multi-Omics: A Survey. CoRR (2022)
Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Samer Alabed, Andrew J. Swift, Haiping Lu
Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension. BIBM (2022)
Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu
Interpretable bilinear attention network with domain adaptation improves drug-target prediction. CoRR (2022)
Lawrence Schobs, Andrew J. Swift, Haiping Lu
Uncertainty Estimation for Heatmap-based Landmark Localization. CoRR (2022)
Li Zhang, Heda Song, Nikolaos Aletras, Haiping Lu
Node-Feature Convolution for Graph Convolutional Networks. Pattern Recognit. 128 (2022)
Peizhen Bai, Filip Miljkovic, Yan Ge, Nigel Greene, Bino John, Haiping Lu
Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction. BIBM (2021)
Xianyuan Liu, Shuo Zhou, Tao Lei, Haiping Lu
Channel-Temporal Attention for First-Person Video Domain Adaptation. CoRR (2021)
Yan Ge, Pan Peng, Haiping Lu
Mixed-order spectral clustering for complex networks. Pattern Recognit. 117 (2021)
Yang Zhou, Haiping Lu, Yiu-Ming Cheung
Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations. IEEE Trans. Cybern. 51 (7) (2021)
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 70 (2021)
Xianyuan Liu, Raivo E. Koot, Shuo Zhou, Tao Lei, Haiping Lu
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition. CoRR (2021)
Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E. Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CoRR (2021)
Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu
Confidence-Quantifying Landmark Localisation For Cardiac MRI. ISBI (2021)
Alexandra-Ioana Herghelegiu, Haiping Lu
Improving Negative Sampling in Graph Neural Networks for Predicting Drug-Drug Interactions. BIBM (2021)
Raivo E. Koot, Markus Hennerbichler, Haiping Lu
Evaluating Transformers for Lightweight Action Recognition. CoRR (2021)
Raivo E. Koot, Haiping Lu
VideoLightFormer: Lightweight Action Recognition using Transformers. CoRR (2021)
Johanna Uthoff, Samer Alabed, Andrew J. Swift, Haiping Lu
Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues. MICCAI (2) (2020)
Hao Xu, Shengqi Sang, Peizhen Bai, Laurence T. Yang, Haiping Lu
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs. CoRR (2020)
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR (2020)
Hao Xu, Shengqi Sang, Haiping Lu
Tri-graph Information Propagation for Polypharmacy Side Effect Prediction. CoRR (2020)
Li Zhang, Haiping Lu
A Feature-Importance-Aware and Robust Aggregator for GCN. CIKM (2020)
Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu
Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments. AAAI (2020)
Li Zhang, Yan Ge, Haiping Lu
Hop-Hop Relation-aware Graph Neural Networks. CoRR (2020)
Yan Ge, Jun Ma, Li Zhang, Haiping Lu
Unifying Homophily and Heterophily Network Transformation via Motifs. CoRR (2020)
Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu
Domain Independent SVM for Transfer Learning in Brain Decoding. CoRR (2019)
Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. MLMI@MICCAI (2019)
Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu
Corrigendum to "Joint interaction with context operation for collaborative filtering" [Pattern Recognition 88 (2019) 729-738]. Pattern Recognit. 92 (2019)
Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu
Joint interaction with context operation for collaborative filtering. Pattern Recognit. 88 (2019)
Qiquan Shi, Yiu-Ming Cheung, Qibin Zhao, Haiping Lu
Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
Shuo Zhou, Christopher R. Cox, Haiping Lu
Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation. MLMI@MICCAI (2019)
Yan Ge, Haiping Lu, Pan Peng
Mixed-Order Spectral Clustering for Networks. CoRR (2018)
Qiquan Shi, Haiping Lu, Yiu-Ming Cheung
Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Li Zhang, Heda Song, Haiping Lu
Graph Node-Feature Convolution for Representation Learning. CoRR (2018)
Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. CoRR (2018)
Xiaonan Song, Haiping Lu
Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis. AAAI (2017)
Yang Zhou, Haiping Lu, Yiu-ming Cheung
Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations. AAAI (2017)
Qiquan Shi, Haiping Lu, Yiu-ming Cheung
Tensor Rank Estimation and Completion via CP-based Nuclear Norm. CIKM (2017)
Yang Zhou, Haiping Lu
Probabilistic Rank-One Matrix Analysis with Concurrent Regularization. IJCAI (2016)
Haiping Lu, Jianxin Wu, Yu Zhang
Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA. IJCNN (2016)
Liyan Song, Haiping Lu
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA. ACML (2016)
Liyan Song, Haiping Lu
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator. ACML (2016)
Xiaonan Song, Lingnan Meng, Qiquan Shi, Haiping Lu
Learning Tensor-Based Features for Whole-Brain fMRI Classification. MICCAI (1) (2015)
Qiquan Shi, Haiping Lu
Semi-Orthogonal Multilinear PCA with Relaxed Start. IJCAI (2015)
Qiquan Shi, Haiping Lu
Semi-Orthogonal Multilinear PCA with Relaxed Start. CoRR (2015)
Haiping Lu
Learning Canonical Correlations of Paired Tensor Sets Via Tensor-to-Vector Projection. IJCAI (2013)
Haiping Lu
Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model. ECML/PKDD (2) (2013)
Haiping Lu, Yaozhang Pan, Bappaditya Mandal, How-Lung Eng, Cuntai Guan, Derrick W. S. Chan
Quantifying Limb Movements in Epileptic Seizures Through Color-Based Video Analysis. IEEE Trans. Biomed. Eng. 60 (2) (2013)
Bappaditya Mandal, How-Lung Eng, Haiping Lu, Derrick W. S. Chan, Yen-Ling Ng
Non-intrusive head movement analysis of videotaped seizures of epileptic origin. EMBC (2012)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
A survey of multilinear subspace learning for tensor data. Pattern Recognit. 44 (7) (2011)
Haiping Lu, How-Lung Eng, Bappaditya Mandal, Derrick W. S. Chan, Yen-Ling Ng
Markerless video analysis for movement quantification in pediatric epilepsy monitoring. EMBC (2011)
Haiping Lu, How-Lung Eng, Myo Thida, Konstantinos N. Plataniotis
Visualization and clustering of crowd video content in MPCA subspace. CIKM (2010)
Francis Minhthang Bui, Karl Martin, Haiping Lu, Konstantinos N. Plataniotis, Dimitrios Hatzinakos
Fuzzy key binding strategies based on quantization index modulation (QIM) for biometric encryption (BE) applications. IEEE Trans. Inf. Forensics Secur. 5 (1) (2010)
Haiping Lu, How-Lung Eng, Cuntai Guan, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting. IEEE Trans. Biomed. Eng. 57 (12) (2010)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
Boosting Discriminant Learners for Gait Recognition Using MPCA Features. EURASIP J. Image Video Process. 2009 (2009)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning. IEEE Trans. Neural Networks 20 (11) (2009)
Karl Martin, Haiping Lu, Francis Minhthang Bui, Konstantinos N. Plataniotis, Dimitrios Hatzinakos
A Biometric Encryption System for the Self-Exclusion Scenario of Face Recognition. IEEE Syst. J. 3 (4) (2009)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
Uncorrelated Multilinear Discriminant Analysis With Regularization and Aggregation for Tensor Object Recognition. IEEE Trans. Neural Networks 20 (1) (2009)
Haiping Lu, Karl Martin, Francis Bui, Konstantinos N. Plataniotis, Dimitrios Hatzinakos
Face recognition with biometric encryption for privacy-enhancing self-exclusion. DPS (2009)
Jie Wang, Haiping Lu, Konstantinos N. Plataniotis, Juwei Lu
Gaussian kernel optimization for pattern classification. Pattern Recognit. 42 (7) (2009)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
MPCA: Multilinear Principal Component Analysis of Tensor Objects. IEEE Trans. Neural Networks 19 (1) (2008)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
A Full-Body Layered Deformable Model for Automatic Model-Based Gait Recognition. EURASIP J. Adv. Signal Process. 2008 (2008)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
Uncorrelated multilinear principal component analysis through successive variance maximization. ICML (2008)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
Coarse-to-Fine Pedestrian Localization and Silhouette Extraction for the Gait Challenge Data Sets. ICME (2006)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
A Layered Deformable Model for Gait Analysis. FGR (2006)
Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
Multilinear Principal Component Analysis of Tensor Objects for Recognition. ICPR (2) (2006)
Haiping Lu, Yun Q. Shi, Alex C. Kot, Lihui Chen
Binary Image Watermarking Through Blurring, Biased Binarization. Int. J. Image Graph. 5 (1) (2005)
Haiping Lu, A. C. Kot, Yun Q. Shi
Distance-reciprocal distortion measure for binary document images. IEEE Signal Process. Lett. 11 (2) (2004)
Haiping Lu, Alex C. Kot, Jun Cheng
Secure data hiding in binary document images for authentication. ISCAS (3) (2003)
Haiping Lu, Alex C. Kot, Susanto Rahardja
Binary image watermarking through biased binarization. ICME (2003)
Haiping Lu, Xudong Jiang, Wei-Yun Yau
Effective and efficient fingerprint image postprocessing. ICARCV (2002)
Haiping Lu, Jian Wang, Alex C. Kot, Yun Q. Shi
An Objective Distortion Measure for Binary Document Images Based on Human Visual Perceptio. ICPR (4) (2002)
Haiping Lu, Xuxia Shi, Yun Q. Shi, Alex C. Kot, Lihui Chen
Watermark embedding in DC components of DCT for binary images. IEEE Workshop on Multimedia Signal Processing (2002)