Publications up to Feb 2022

See an up-to-date full list of publications in my CV (from page 2). Publications after Feb 2022 are not included in the list below due to lack of time to update the website.

Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu (2022). A GNN-based multi-task learning framework for personalized video search. International Conference on Web Search and Data Mining (WSDM).

Krit Dwivedi, Robin Condliffe, Michael Sharkey, Robert Lewis, Samer Alabed, Smitha Rajaram, Catherine Hill, Laura Saunders, Peter Metherall, Faisal Alandejani, Dheyaa Alkhanfar, Jim M. Wild, Haiping Lu, David Kiely, Andrew Swift (2022). Computed tomography lung parenchymal descriptions in routine radiological reporting have diagnostic and prognostic utility in patients with idiopathic pulmonary arterial hypertension and pulmonary hypertension associated with lung disease. ERJ Open Research.

Peizhen Bai, Filip Miljković, Yan Ge, Nigel Greene, Bino John, Haiping Lu (2021). Hierarchical clustering split for low-bias evaluation of drug-target interaction prediction. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Alexandra Herghelegiu, Haiping Lu (2021). Improving Negative Sampling in Graph Neural Networks for Predicting Drug-Drug Interactions. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Raivo Koot, Markus Hennerbichler, Haiping Lu (2021). Evaluating transformers for lightweight action recognition. arXiv preprint arXiv:2111.09641.

Yan Ge, Pan Peng, Haiping Lu (2021). Mixed-order spectral clustering for complex networks. Pattern Recognition.

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Xianyuan Liu, Shuo Zhou, Tao Lei, Haiping Lu (2021). Channel-temporal attention for first-person video domain adaptation. arXiv preprint arXiv:2108.07846.

Raivo Koot, Haiping Lu (2021). VideoLightFormer: Lightweight action recognition using transformers. arXiv preprint arXiv:2107.00451.

Yang Zhou, Haiping Lu, Yiu-Ming Cheung (2021). Probabilistic rank-one tensor analysis with concurrent regularizations. IEEE Transactions on Cybernetics.

Hao Xu, Shengqi Sang, Herbert Yao, Alexandra I Herghelegiu, Haiping Lu, Laurence Yang (2021). APRILE: Exploring the molecular mechanisms of drug side effects with explainable graph neural networks. bioRxiv.

Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs (2021). PyKale: Knowledge-aware machine learning from multiple sources in python. arXiv preprint arXiv:2106.09756.

Krit Dwivedi, Michael Sharkey, Robin Condliffe, Johanna Uthoff, Samer Alabed, Peter Metherall, Haiping Lu, Jim M Wild, Eric A Hoffman, Andrew Swift, David Kiely (2021). Pulmonary hypertension in association with lung disease: quantitative CT and artificial intelligence to the rescue? state-of-the-art review. Diagnostics.

Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J Swift, Haiping Lu (2021). Confidence-quantifying landmark localisation for cardiac MRI. IEEE International Symposium on Biomedical Imaging (ISBI).

Andrew Swift, Haiping Lu, Johanna Uthoff, Pankaj Garg, Marcella Cogliano, Jonathan Taylor, Peter Metherall, Shuo Zhou, Christopher S Johns, Samer Alabed, Robin Condliffe, Allan Lawrie, Jim Wild, David Kiely (2021). A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis. European Heart Journal-Cardiovascular Imaging.

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Yan Ge, Jun Ma, Li Zhang, Haiping Lu (2020). Unifying homophily and heterophily network transformation via motifs. arXiv preprint arXiv:2012.11400.

Li Zhang, Yan Ge, Haiping Lu (2020). Hop-hop relation-aware graph neural networks. arXiv preprint arXiv:2012.11147.

Hao Xu, Shengqi Sang, Peizhen Bai, Laurence Yang, Haiping Lu (2020). GripNet: Graph information propagation on supergraph for heterogeneous graphs. arXiv preprint arXiv:2010.15914.

Li Zhang, Haiping Lu (2020). A feature-importance-aware and robust aggregator for GCN. ACM International Conference on Information and Knowledge Management (CIKM).

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Johanna Uthoff, Samer Alabed, Andrew Swift, Haiping Lu (2020). Geodesically smoothed tensor features for pulmonary hypertension prognosis using the heart and surrounding tissues. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Shuo Zhou, Wenwen Li, Christopher Cox, Haiping Lu (2020). Side information dependence as a regularizer for analyzing human brain conditions across cognitive experiments. AAAI Conference on Artificial Intelligence (AAAI).

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Mwiza Kunda, Shuo Zhou, Gaolang Gong, Haiping Lu (2020). Improving multi-site autism classification based on site-dependence minimisation and second-order functional connectivity. bioRxiv.

Hao Xu, Shengqi Sang, Haiping Lu (2019). Tri-graph information propagation for polypharmacy side effect prediction. NeurIPS Workshop on Graph Representation Learning.

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Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu (2019). Sturm: Sparse tubal-regularized multilinear regression for fMRI. International Workshop on Machine Learning in Medical Imaging (MLMI).

Shuo Zhou, Christopher R Cox, Haiping Lu (2019). Improving whole-brain neural decoding of fMRI with domain adaptation. International Workshop on Machine Learning in Medical Imaging (MLMI).

Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu (2019). Joint interaction with context operation for collaborative filtering. Pattern Recognition.

Qiquan Shi, Yiu-Ming Cheung, Qibin Zhao, Haiping Lu (2019). Feature extraction for incomplete data via low-rank tensor decomposition with feature regularization. IEEE Transactions on Neural Networks and Learning Systems.

Li Zhang, Heda Song, Haiping Lu (2018). Graph node-feature convolution for representation learning. arXiv preprint arXiv:1812.00086.

Qiquan Shi, Haiping Lu, Yiu-Ming Cheung (2018). Rank-one matrix completion with automatic rank estimation via L1-norm regularization. IEEE Transactions on Neural Networks and Learning Systems.

Qiquan Shi, Haiping Lu, Yiu-Ming Cheung (2017). Tensor rank estimation and completion via CP-based nuclear norm. ACM International Conference on Information and Knowledge Management (CIKM).

Xiaofeng Xie, Zhu Liang Yu, Haiping Lu, Zhenghui Gu, Yuanqing Li (2017). Motor imagery classification based on bilinear sub-manifold learning of symmetric positive-definite matrices. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Xiaonan Song, Haiping Lu (2017). Multilinear regression for embedded feature selection with application to fMRI analysis. AAAI Conference on Artificial Intelligence (AAAI).

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Yang Zhou, Haiping Lu, Yiu-Ming Cheung (2017). Bilinear probabilistic canonical correlation analysis via hybrid concatenations. AAAI Conference on Artificial Intelligence (AAAI).

Liyan Song, Haiping Lu (2016). Proper inner product with mean displacement for gaussian noise invariant ICA. Asian Conference on Machine Learning (ACML).

Liyan Song, Haiping Lu (2016). EcoICA: Skewness-based ICA via eigenvectors of cumulant operator. Asian Conference on Machine Learning (ACML).

Yang Zhou, Haiping Lu (2016). Probabilistic rank-one matrix analysis with concurrent regularization. International Joint Conference on Artificial Intelligence (IJCAI).

Haiping Lu, Jianxin Wu, Yu Zhang (2016). Learning compact binary codes from higher-order tensors via free-form reshaping and binarized multilinear PCA. International Joint Conference on Neural Networks (IJCNN).

Xiaonan Song, Lingnan Meng, Qiquan Shi, Haiping Lu (2015). Learning tensor-based features for whole-brain fMRI classification. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Qiquan Shi, Haiping Lu (2015). Semi-orthogonal multilinear PCA with relaxed start. International Joint Conference on Artificial Intelligence (IJCAI).

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Haiping Lu (2013). Learning modewise independent components from tensor data using multilinear mixing model. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD).

Haiping Lu (2013). Learning canonical correlations of paired tensor sets via tensor-to-vector projection. International Joint Conference on Artificial Intelligence (IJCAI.

Haiping Lu, Yaozhang Pan, Bappaditya Mandal, How-Lung Eng, Cuntai Guan, Derrick WS Chan (2013). Quantifying limb movements in epileptic seizures through color-based video analysis. IEEE Transactions on Biomedical Engineering.

Haiping Lu, Konstantinos N Plataniotis, Anastasios Venetsanopoulos (2013). Multilinear Subspace Learning: Dimensionality Reduction Of Multidimensional Data. Taylor and Francis.

Bappaditya Mandal, How-Lung Eng, Haiping Lu, Derrick WS Chan, Yen-Ling Ng (2012). Non-intrusive head movement analysis of videotaped seizures of epileptic origin. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Haiping Lu, How-Lung Eng, Bappaditya Mandal, Derrick WS Chan, Yen-Ling Ng (2011). Markerless video analysis for movement quantification in pediatric epilepsy monitoring. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2011). A survey of multilinear subspace learning for tensor data. Pattern Recognition.

Haiping Lu, How-Lung Eng, Cuntai Guan, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2010). Regularized common spatial pattern with aggregation for EEG classification in small-sample setting. IEEE Transactions on Biomedical Engineering.

Haiping Lu, How-Lung Eng, Myo Thida, Konstantinos N Plataniotis (2010). Visualization and clustering of crowd video content in MPCA subspace. ACM International Conference on Information and Knowledge Management (CIKM).

Francis Minhthang Bui, Karl Martin, Haiping Lu, Konstantinos N Plataniotis, Dimitrios Hatzinakos (2010). Fuzzy key binding strategies based on quantization index modulation (QIM) for biometric encryption (BE) applications. IEEE Transactions on Information Forensics and Security.

Karl Martin, Haiping Lu, Francis M. Bui, Konstantinos N Plataniotis, Dimitrios Hatzinakos (2009). A biometric encryption system for the self-exclusion scenario of face recognition. IEEE Systems Journal.

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2009). Uncorrelated multilinear principal component analysis for unsupervised multilinear subspace learning. IEEE Transactions on Neural Networks.

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2009). Boosting discriminant learners for gait recognition using MPCA features. EURASIP Journal on Image and Video Processing.

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2009). Regularized common spatial patterns with generic learning for EEG signal classification. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Jie Wang, Haiping Lu, Konstantinos N Plataniotis, Juwei Lu (2009). Gaussian kernel optimization for pattern classification. Pattern Recognition.

Haiping Lu, Karl Martin, Francis Bui, Konstantinos N Plataniotis, Dimitris Hatzinakos (2009). Face recognition with biometric encryption for privacy-enhancing self-exclusion. International Conference on Digital Signal Processing.

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2009). Uncorrelated multilinear discriminant analysis with regularization and aggregation for tensor object recognition. IEEE Transactions on Neural Networks.

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2009). A taxonomy of emerging multilinear discriminant analysis solutions for biometric signal recognition. Biometrics: Theory, Methods, and Applications.

Haiping Lu, Jie Wang, Konstantinos N Plataniotis (2009). A review on face and gait recognition: system, data and algorithms. Advanced Signal Processing: Theory and Implementation for Sonar, Radar, and Non-Invasive Medical Diagnostic Systems.

Haiping Lu (2008). Multilinear Subspace Learning for Face and Gait Recognition.

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2008). Uncorrelated multilinear principal component analysis through successive variance maximization. International Conference on Machine Learning (ICML).

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2008). MPCA: Multilinear principal component analysis of tensor objects. IEEE Transactions on Neural Networks.

Alex Chi Chung Kot, Huijuan Yang, Haiping Lu (2008). Method, software, and device for hiding data in binary image, while preserving image quality. United States Patent 7,324,662.

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2008). A full-body layered deformable model for automatic model-based gait recognition. EURASIP Journal on Advances in Signal Processing.

Haiping Lu, KN Plataniotis, AN Venetsanopoulos (2007). Uncorrelated multilinear discriminant analysis with regularization for gait recognition. Biometrics Symposium.

Haiping Lu, Konstantinos N Plataniotis, Anastasios Venetsanopoulos (2007). Boosting LDA with regularization on MPCA features for gait recognition. Biometrics Symposium.

Haiping Lu, Konstantinos N Plataniotis, Anastasios Venetsanopoulos (2006). Gait recognition through MPCA plus LDA. Biometrics Symposium.

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2006). Multilinear principal component analysis of tensor objects for recognition. International Conference on Pattern Recognition (ICPR).

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2006). Coarse-to-fine pedestrian localization and silhouette extraction for the gait challenge data sets. IEEE International Conference on Multimedia and Expo (ICME).

Haiping Lu, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos (2006). A layered deformable model for gait analysis. International Conference on Automatic Face and Gesture Recognition (FG).

Haiping Lu, Yun Q Shi, Alex C Kot, Lihui Chen (2005). Binary image watermarking through blurring and biased binarization. International Journal of Image and Graphics.

Haiping Lu, Alex C Kot, Yun Q Shi (2004). Distance-reciprocal distortion measure for binary document images. IEEE Signal Processing Letters.

Haiping Lu, Alex C Kot, Rahardja Susanto (2003). Binary image watermarking through biased binarization. International Conference on Multimedia and Expo (ICME).

Haiping Lu, Alex C Kot, Jun Cheng (2003). Secure data hiding in binary document images for authentication. International Symposium on Circuits and Systems (ISCAS).

Haiping Lu, Xuxia Shi, Yun Q Shi, Alex C Kot, Lihui Chen (2002). Watermark embedding in DC components of DCT for binary images. IEEE Workshop on Multimedia Signal Processing.

Haiping Lu, Xudong Jiang, Wei-Yun Yau (2002). Effective and efficient fingerprint image postprocessing. International Conference on Control, Automation, Robotics and Vision (ICARCV).

Haiping Lu, Jian Wang, Alex C Kot, Yun Q Shi (2002). An objective distortion measure for binary document images based on human visual perception. International Conference on Pattern Recognition (ICPR).