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2020 – today
- 2024
[c40]Pawel Pukowski, Joachim Spoerhase, Haiping Lu:
SkelEx and BoundEx - Geometrical Framework for Interpretable ReLU Neural Networks. IJCNN 2024: 1-8- [c39]Mohammod 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. MICCAI (1) 2024: 296-306 - [i26]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 abs/2403.10635 (2024) - [i25]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 abs/2403.13658 (2024) - [i24]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 abs/2404.04718 (2024) - [i23]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 abs/2404.05781 (2024) - [i22]Sina Tabakhi, Charlotte Vandermeulen, Ian Sudbery, Haiping Lu:
Heterogeneous graph attention network improves cancer multiomics integration. CoRR abs/2408.02845 (2024) - [i21]Pawel Pukowski, Haiping Lu:
Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance. CoRR abs/2409.14401 (2024) - 2023
- [j30]Yan Ge, Jun Ma, Li Zhang, Xiang Li, Haiping Lu:
Trustworthiness-aware knowledge graph representation for recommendation. Knowl. Based Syst. 278: 110865 (2023) - [j29]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): 98-100 (2023) - [j28]Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu:
Interpretable bilinear attention network with domain adaptation improves drug-target prediction. Nat. Mac. Intell. 5(2): 126-136 (2023) - [j27]Hao Xu, Shengqi Sang, Peizhen Bai, Ruike Li, Laurence Yang, Haiping Lu:
GripNet: Graph information propagation on supergraph for heterogeneous graphs. Pattern Recognit. 133: 108973 (2023) - [j26]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): 7774-7788 (2023) - [j25]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): 55-65 (2023) - [j24]Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu:
Uncertainty Estimation for Heatmap-Based Landmark Localization. IEEE Trans. Medical Imaging 42(4): 1021-1034 (2023) - [j23]Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu:
Multimodal Learning for Multi-omics: A Survey. World Sci. Annu. Rev. Artif. Intell. 1: 2250004:1-2250004:39 (2023) - [c38]Lawrence Schobs, Thomas M. McDonald, Haiping Lu:
Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes. UNSURE@MICCAI 2023: 22-31 - [c37]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: 206-215 - [i20]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 abs/2303.07540 (2023) - [i19]Pawel Pukowski, Haiping Lu:
SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks. CoRR abs/2305.05562 (2023) - [i18]Peizhen Bai, Xianyuan Liu, Haiping Lu:
Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction. CoRR abs/2309.00483 (2023) - 2022
- [j22]Li Zhang, Heda Song, Nikolaos Aletras, Haiping Lu:
Node-Feature Convolution for Graph Convolutional Networks. Pattern Recognit. 128: 108661 (2022) - [j21]Liyan Song, Shuo Zhou, Haiping Lu:
Direct ICA on data tensor via random matrix modeling. Signal Process. 196: 108508 (2022) - [c36]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: 2704-2710 - [c35]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: 4274-4278 - [c34]Sina Tabakhi, Haiping Lu:
Multi-agent Feature Selection for Integrative Multi-omics Analysis. EMBC 2022: 1638-1642 - [c33]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: 1386-1394 - [i17]Lawrence Schobs, Andrew J. Swift, Haiping Lu:
Uncertainty Estimation for Heatmap-based Landmark Localization. CoRR abs/2203.02351 (2022) - [i16]Li Zhang, Yan Ge, Jun Ma, Jianmo Ni, Haiping Lu:
Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation. CoRR abs/2206.13255 (2022) - [i15]Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu:
Interpretable bilinear attention network with domain adaptation improves drug-target prediction. CoRR abs/2208.02194 (2022) - [i14]Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu:
Multimodal Learning for Multi-Omics: A Survey. CoRR abs/2211.16509 (2022) - 2021
- [j20]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: 101972 (2021) - [j19]Yan Ge, Pan Peng, Haiping Lu:
Mixed-order spectral clustering for complex networks. Pattern Recognit. 117: 107964 (2021) - [j18]Yang Zhou, Haiping Lu, Yiu-Ming Cheung:
Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations. IEEE Trans. Cybern. 51(7): 3496-3509 (2021) - [c32]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: 641-644 - [c31]Alexandra-Ioana Herghelegiu, Haiping Lu:
Improving Negative Sampling in Graph Neural Networks for Predicting Drug-Drug Interactions. BIBM 2021: 3728-3735 - [c30]Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu:
Confidence-Quantifying Landmark Localisation For Cardiac MRI. ISBI 2021: 985-988 - [i13]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 abs/2106.09756 (2021) - [i12]Xianyuan Liu, Shuo Zhou, Tao Lei, Haiping Lu:
Channel-Temporal Attention for First-Person Video Domain Adaptation. CoRR abs/2108.07846 (2021) - [i11]Raivo E. Koot, Markus Hennerbichler, Haiping Lu:
Evaluating Transformers for Lightweight Action Recognition. CoRR abs/2111.09641 (2021) - 2020
- [c29]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: 6957-6964 - [c28]Li Zhang, Haiping Lu:
A Feature-Importance-Aware and Robust Aggregator for GCN. CIKM 2020: 1813-1822 - [c27]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: 253-262 - [i10]Hao Xu, Shengqi Sang, Haiping Lu:
Tri-graph Information Propagation for Polypharmacy Side Effect Prediction. CoRR abs/2001.10516 (2020) - [i9]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 abs/2006.03611 (2020) - [i8]Hao Xu, Shengqi Sang, Peizhen Bai, Laurence T. Yang, Haiping Lu:
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs. CoRR abs/2010.15914 (2020) - [i7]Li Zhang, Yan Ge, Haiping Lu:
Hop-Hop Relation-aware Graph Neural Networks. CoRR abs/2012.11147 (2020) - [i6]Yan Ge, Jun Ma, Li Zhang, Haiping Lu:
Unifying Homophily and Heterophily Network Transformation via Motifs. CoRR abs/2012.11400 (2020)
2010 – 2019
- 2019
- [j17]Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu:
Joint interaction with context operation for collaborative filtering. Pattern Recognit. 88: 729-738 (2019) - [j16]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: 274 (2019) - [j15]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): 1803-1817 (2019) - [c26]Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. MLMI@MICCAI 2019: 256-264 - [c25]Shuo Zhou, Christopher R. Cox, Haiping Lu:
Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation. MLMI@MICCAI 2019: 265-273 - [i5]Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu:
Domain Independent SVM for Transfer Learning in Brain Decoding. CoRR abs/1903.11020 (2019) - 2018
- [j14]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): 4744-4757 (2018) - [i4]Li Zhang, Heda Song, Haiping Lu:
Graph Node-Feature Convolution for Representation Learning. CoRR abs/1812.00086 (2018) - [i3]Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. CoRR abs/1812.01496 (2018) - [i2]Yan Ge, Haiping Lu, Pan Peng:
Mixed-Order Spectral Clustering for Networks. CoRR abs/1812.10140 (2018) - 2017
- [c24]Xiaonan Song, Haiping Lu:
Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis. AAAI 2017: 2562-2568 - [c23]Yang Zhou, Haiping Lu, Yiu-ming Cheung:
Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations. AAAI 2017: 2949-2955 - [c22]Qiquan Shi, Haiping Lu, Yiu-ming Cheung:
Tensor Rank Estimation and Completion via CP-based Nuclear Norm. CIKM 2017: 949-958 - 2016
- [c21]Liyan Song, Haiping Lu:
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA. ACML 2016: 398-413 - [c20]Liyan Song, Haiping Lu:
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator. ACML 2016: 445-460 - [c19]Yang Zhou, Haiping Lu:
Probabilistic Rank-One Matrix Analysis with Concurrent Regularization. IJCAI 2016: 2428-2434 - [c18]Haiping Lu, Jianxin Wu, Yu Zhang:
Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA. IJCNN 2016: 3008-3015 - 2015
- [c17]Qiquan Shi, Haiping Lu:
Semi-Orthogonal Multilinear PCA with Relaxed Start. IJCAI 2015: 3805-3811 - [c16]Xiaonan Song, Lingnan Meng, Qiquan Shi, Haiping Lu:
Learning Tensor-Based Features for Whole-Brain fMRI Classification. MICCAI (1) 2015: 613-620 - [i1]Qiquan Shi, Haiping Lu:
Semi-Orthogonal Multilinear PCA with Relaxed Start. CoRR abs/1504.08142 (2015) - 2013
- [j13]Haiping Lu, Yaozhang Pan, Bappaditya Mandal, How-Lung Eng, Cuntai Guan, Derrick Wei Shih Chan:
Quantifying Limb Movements in Epileptic Seizures Through Color-Based Video Analysis. IEEE Trans. Biomed. Eng. 60(2): 461-469 (2013) - [c15]Haiping Lu:
Learning Canonical Correlations of Paired Tensor Sets Via Tensor-to-Vector Projection. IJCAI 2013: 1516-1522 - [c14]Haiping Lu:
Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model. ECML/PKDD (2) 2013: 288-303 - 2012
- [c13]Bappaditya Mandal, How-Lung Eng, Haiping Lu, Derrick Wei Shih Chan, Yen-Ling Ng:
Non-intrusive head movement analysis of videotaped seizures of epileptic origin. EMBC 2012: 6060-6063 - 2011
- [j12]Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
A survey of multilinear subspace learning for tensor data. Pattern Recognit. 44(7): 1540-1551 (2011) - [c12]Haiping Lu, How-Lung Eng, Bappaditya Mandal, Derrick Wei Shih Chan, Yen-Ling Ng:
Markerless video analysis for movement quantification in pediatric epilepsy monitoring. EMBC 2011: 8275-8278 - 2010
- [j11]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): 2936-2946 (2010) - [j10]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): 118-132 (2010) - [c11]Haiping Lu, How-Lung Eng, Myo Thida, Konstantinos N. Plataniotis:
Visualization and clustering of crowd video content in MPCA subspace. CIKM 2010: 1777-1780
2000 – 2009
- 2009
- [j9]Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
Boosting Discriminant Learners for Gait Recognition Using MPCA Features. EURASIP J. Image Video Process. 2009 (2009) - [j8]Jie Wang, Haiping Lu, Konstantinos N. Plataniotis, Juwei Lu:
Gaussian kernel optimization for pattern classification. Pattern Recognit. 42(7): 1237-1247 (2009) - [j7]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): 440-450 (2009) - [j6]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): 103-123 (2009) - [j5]Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning. IEEE Trans. Neural Networks 20(11): 1820-1836 (2009) - [c10]Haiping Lu, Karl Martin, Francis Bui, Konstantinos N. Plataniotis, Dimitrios Hatzinakos:
Face recognition with biometric encryption for privacy-enhancing self-exclusion. DPS 2009: 1-8 - 2008
- [j4]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) - [j3]Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
MPCA: Multilinear Principal Component Analysis of Tensor Objects. IEEE Trans. Neural Networks 19(1): 18-39 (2008) - [c9]Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
Uncorrelated multilinear principal component analysis through successive variance maximization. ICML 2008: 616-623 - 2006
- [c8]Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
A Layered Deformable Model for Gait Analysis. FGR 2006: 249-256 - [c7]Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
Coarse-to-Fine Pedestrian Localization and Silhouette Extraction for the Gait Challenge Data Sets. ICME 2006: 1009-1012 - [c6]Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
Multilinear Principal Component Analysis of Tensor Objects for Recognition. ICPR (2) 2006: 776-779 - 2005
- [j2]Haiping Lu, Yun Q. Shi, Alex C. Kot, Lihui Chen:
Binary Image Watermarking Through Blurring, Biased Binarization. Int. J. Image Graph. 5(1): 67-88 (2005) - 2004
- [j1]Haiping Lu, A. C. Kot, Yun Q. Shi:
Distance-reciprocal distortion measure for binary document images. IEEE Signal Process. Lett. 11(2): 228-231 (2004) - 2003
- [c5]Haiping Lu, Alex C. Kot, Susanto Rahardja:
Binary image watermarking through biased binarization. ICME 2003: 101-104 - [c4]Haiping Lu, Alex C. Kot, Jun Cheng:
Secure data hiding in binary document images for authentication. ISCAS (3) 2003: 806-809 - 2002
- [c3]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: 300-303 - [c2]Haiping Lu, Xudong Jiang, Wei-Yun Yau:
Effective and efficient fingerprint image postprocessing. ICARCV 2002: 985-989 - [c1]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: 239-242
Coauthor Index
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