Haiping Lu - RankMe

105 papers A* 7A 7B 2C 4Journal 64Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning. CoRR Jiayang Zhang, Xianyuan Liu, Wei Wu, Sina Tabakhi, Wenrui Fan, Shuo Zhou, Kang Lan Tee, Tuck Seng Wong, Haiping Lu
2025	J	`jnl`	Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks. CoRR Sayedmohammadreza Rastegari, Sina Tabakhi, Xianyuan Liu, Wei Sang, Haiping Lu
2025	—	`conf`	Foundation-Model-Boosted Multimodal Learning for fMRI-Based Neuropathic Pain Drug Response Prediction. MICCAI (15) Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang, Chen Chen, Haiping Lu, Kevin Teh, Dinesh Selvarajah, Shuo Zhou
2025	J	`jnl`	Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction. CoRR Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang, Chen Chen, Haiping Lu, Kevin Teh, Dinesh Selvarajah, Shuo Zhou
2025	J	`jnl`	Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives. CoRR Xiaokun Liu, Sayedmohammadreza Rastegari, Yijun Huang, Sxe Chang Cheong, Weikang Liu, Wenjie Zhao, Qihao Tian, Hongming Wang, Shuo Zhou, Yingjie Guo, Sina Tabakhi, Xianyuan Liu, Zheqing Zhu, Wei Sang, Haiping Lu
2025	J	`jnl`	Missing-Modality-Aware Graph Neural Network for Cancer Classification. CoRR Sina Tabakhi, Haiping Lu
2025	J	`jnl`	Multimodal Lead-Specific Modeling of ECG for Low-Cost Pulmonary Hypertension Assessment. CoRR Md. Naimul Islam Suvon, Shuo Zhou, Prasun C. Tripathi, Wenrui Fan, Samer Alabed, Bishesh Khanal, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
2025	J	`jnl`	Towards deployment-centric multimodal AI beyond vision and language. CoRR Xianyuan Liu, Jiayang Zhang, Shuo Zhou, Thijs L. van der Plas, Avish Vijayaraghavan, Anastasiia Grishina, Mengdie Zhuang, Daniel Schofield, Christopher Tomlinson, Yuhan Wang, Ruizhe Li, Louisa van Zeeland, Sina Tabakhi, Cyndie Demeocq, Xiang Li, Arunav Das, Orlando Timmerman, Thomas Baldwin-McDonald, Jinge Wu, Peizhen Bai, Zahraa Al Sahili, Omnia Alwazzan, Thao N. Do, Mohammod Naimul Islam Suvon, Angeline Wang, Lucia Cipolina-Kun, Luigi A. Moretti, Lucas Farndale, Nitisha Jain, Natalia Efremova, Yan Ge, Marta Varela, Hak-Keung Lam, Oya Çeliktutan, Ben R. Evans, Alejandro Coca-Castro, Honghan Wu, Zahraa S. Abdallah, Chen Chen, Valentin Danchev, Nataliya Tkachenko, Lei Lu, Tingting Zhu, Gregory G. Slabaugh, Roger K. Moore, William K. Cheung, Peter H. Charlton, Haiping Lu
2024	J	`jnl`	Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network. CoRR Shuo Zhou, Junhao Luo, Yaya Jiang, Haolin Wang, Haiping Lu, Gaolang Gong
2024	J	`jnl`	Heterogeneous graph attention network improves cancer multiomics integration. CoRR Sina Tabakhi, Charlotte Vandermeulen, Ian Sudbery, Haiping Lu
2024	J	`jnl`	Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. CoRR Prasun C. Tripathi, Sina Tabakhi, Mohammod Naimul Islam Suvon, Lawrence Andrew Schobs, Samer Alabed, Andrew J. Swift, Shuo Zhou, Haiping Lu
2024	J	`jnl`	Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance. CoRR Pawel Pukowski, Haiping Lu
2024	J	`jnl`	Mask prior-guided denoising diffusion improves inverse protein folding. CoRR Peizhen Bai, Filip Miljkovic, Xianyuan Liu, Leonardo De Maria, Rebecca Croasdale-Wood, Owen J. L. Rackham, Haiping Lu
2024	J	`jnl`	MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment. CoRR Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
2024	—	`conf`	Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection. MICCAI (1) Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
2024	J	`jnl`	Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection. CoRR Md. Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
2024	B	`conf`	SkelEx and BoundEx - Geometrical Framework for Interpretable ReLU Neural Networks. IJCNN Pawel Pukowski, Joachim Spoerhase, Haiping Lu
2023	—	`conf`	Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes. UNSURE@MICCAI Lawrence Schobs, Thomas M. McDonald, Haiping Lu
2023	J	`jnl`	First-Person Video Domain Adaptation With Multi-Scene Cross-Site Datasets and Attention-Based Methods. IEEE Trans. Circuits Syst. Video Technol. Xianyuan Liu, Shuo Zhou, Tao Lei, Ping Jiang, Zhixiang Chen, Haiping Lu
2023	J	`jnl`	Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction. CoRR Peizhen Bai, Xianyuan Liu, Haiping Lu
2023	J	`jnl`	GripNet: Graph information propagation on supergraph for heterogeneous graphs. Pattern Recognit. Hao Xu, Shengqi Sang, Peizhen Bai, Ruike Li, Laurence Yang, Haiping Lu
2023	J	`jnl`	Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity. IEEE Trans. Medical Imaging Mwiza Kunda, Shuo Zhou, Gaolang Gong, Haiping Lu
2023	J	`jnl`	Interpretable bilinear attention network with domain adaptation improves drug-target prediction. Nat. Mac. Intell. Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu
2023	J	`jnl`	Medical artificial intelligence is as much social as it is technological. Nat. Mac. Intell. Annamaria Carusi, Peter D. Winter, Iain Armstrong, Fabio Ciravegna, David G. Kiely, Allan Lawrie, Haiping Lu, Ian Sabroe, Andy Swift
2023	J	`jnl`	Multimodal Learning for Multi-omics: A Survey. World Sci. Annu. Rev. Artif. Intell. Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu
2023	J	`jnl`	SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks. CoRR Pawel Pukowski, Haiping Lu
2023	—	`conf`	Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. MICCAI (7) Prasun C. Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
2023	J	`jnl`	Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. CoRR Prasun C. Tripathi, Mohammod Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
2023	J	`jnl`	Trustworthiness-aware knowledge graph representation for recommendation. Knowl. Based Syst. Yan Ge, Jun Ma, Li Zhang, Xiang Li, Haiping Lu
2023	J	`jnl`	Uncertainty Estimation for Heatmap-Based Landmark Localization. IEEE Trans. Medical Imaging Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu
2022	A	`conf`	A GNN-based Multi-task Learning Framework for Personalized Video Search. WSDM Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu
2022	J	`jnl`	Direct ICA on data tensor via random matrix modeling. Signal Process. Liyan Song, Shuo Zhou, Haiping Lu
2022	J	`jnl`	Interpretable bilinear attention network with domain adaptation improves drug-target prediction. CoRR Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu
2022	J	`jnl`	Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation. CoRR Li Zhang, Yan Ge, Jun Ma, Jianmo Ni, Haiping Lu
2022	—	`conf`	Multi-agent Feature Selection for Integrative Multi-omics Analysis. EMBC Sina Tabakhi, Haiping Lu
2022	J	`jnl`	Multimodal Learning for Multi-Omics: A Survey. CoRR Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu
2022	—	`conf`	Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension. BIBM Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Samer Alabed, Andrew J. Swift, Haiping Lu
2022	J	`jnl`	Node-Feature Convolution for Graph Convolutional Networks. Pattern Recognit. Li Zhang, Heda Song, Nikolaos Aletras, Haiping Lu
2022	A	`conf`	PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CIKM Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu
2022	J	`jnl`	Uncertainty Estimation for Heatmap-based Landmark Localization. CoRR Lawrence Schobs, Andrew J. Swift, Haiping Lu
2021	J	`jnl`	Channel-Temporal Attention for First-Person Video Domain Adaptation. CoRR Xianyuan Liu, Shuo Zhou, Tao Lei, Haiping Lu
2021	—	`conf`	Confidence-Quantifying Landmark Localisation For Cardiac MRI. ISBI Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu
2021	J	`jnl`	Evaluating Transformers for Lightweight Action Recognition. CoRR Raivo E. Koot, Markus Hennerbichler, Haiping Lu
2021	—	`conf`	Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction. BIBM Peizhen Bai, Filip Miljkovic, Yan Ge, Nigel Greene, Bino John, Haiping Lu
2021	—	`conf`	Improving Negative Sampling in Graph Neural Networks for Predicting Drug-Drug Interactions. BIBM Alexandra-Ioana Herghelegiu, Haiping Lu
2021	J	`jnl`	Mixed-order spectral clustering for complex networks. Pattern Recognit. Yan Ge, Pan Peng, Haiping Lu
2021	J	`jnl`	Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 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
2021	J	`jnl`	Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations. IEEE Trans. Cybern. Yang Zhou, Haiping Lu, Yiu-ming Cheung
2021	J	`jnl`	PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CoRR Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E. Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs
2020	A	`conf`	A Feature-Importance-Aware and Robust Aggregator for GCN. CIKM Li Zhang, Haiping Lu
2020	—	`conf`	Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues. MICCAI (2) Johanna Uthoff, Samer Alabed, Andrew J. Swift, Haiping Lu
2020	J	`jnl`	GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs. CoRR Hao Xu, Shengqi Sang, Peizhen Bai, Laurence T. Yang, Haiping Lu
2020	J	`jnl`	Hop-Hop Relation-aware Graph Neural Networks. CoRR Li Zhang, Yan Ge, Haiping Lu
2020	J	`jnl`	Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR 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
2020	A*	`conf`	Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments. AAAI Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu
2020	J	`jnl`	Tri-graph Information Propagation for Polypharmacy Side Effect Prediction. CoRR Hao Xu, Shengqi Sang, Haiping Lu
2020	J	`jnl`	Unifying Homophily and Heterophily Network Transformation via Motifs. CoRR Yan Ge, Jun Ma, Li Zhang, Haiping Lu
2019	J	`jnl`	Corrigendum to "Joint interaction with context operation for collaborative filtering" [Pattern Recognition 88 (2019) 729-738]. Pattern Recognit. Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu
2019	J	`jnl`	Domain Independent SVM for Transfer Learning in Brain Decoding. CoRR Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu
2019	J	`jnl`	Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization. IEEE Trans. Neural Networks Learn. Syst. Qiquan Shi, Yiu-ming Cheung, Qibin Zhao, Haiping Lu
2019	—	`conf`	Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation. MLMI@MICCAI Shuo Zhou, Christopher R. Cox, Haiping Lu
2019	J	`jnl`	Joint interaction with context operation for collaborative filtering. Pattern Recognit. Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu
2019	—	`conf`	Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. MLMI@MICCAI Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu
2018	J	`jnl`	Graph Node-Feature Convolution for Representation Learning. CoRR Li Zhang, Heda Song, Haiping Lu
2018	J	`jnl`	Mixed-Order Spectral Clustering for Networks. CoRR Yan Ge, Haiping Lu, Pan Peng
2018	J	`jnl`	Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization. IEEE Trans. Neural Networks Learn. Syst. Qiquan Shi, Haiping Lu, Yiu-ming Cheung
2018	J	`jnl`	Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. CoRR Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu
2017	A*	`conf`	Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations. AAAI Yang Zhou, Haiping Lu, Yiu-ming Cheung
2017	A*	`conf`	Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis. AAAI Xiaonan Song, Haiping Lu
2017	A	`conf`	Tensor Rank Estimation and Completion via CP-based Nuclear Norm. CIKM Qiquan Shi, Haiping Lu, Yiu-ming Cheung
2016	C	`conf`	EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator. ACML Liyan Song, Haiping Lu
2016	B	`conf`	Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA. IJCNN Haiping Lu, Jianxin Wu, Yu Zhang
2016	A*	`conf`	Probabilistic Rank-One Matrix Analysis with Concurrent Regularization. IJCAI Yang Zhou, Haiping Lu
2016	C	`conf`	Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA. ACML Liyan Song, Haiping Lu
2015	—	`conf`	Learning Tensor-Based Features for Whole-Brain fMRI Classification. MICCAI (1) Xiaonan Song, Lingnan Meng, Qiquan Shi, Haiping Lu
2015	A*	`conf`	Semi-Orthogonal Multilinear PCA with Relaxed Start. IJCAI Qiquan Shi, Haiping Lu
2015	J	`jnl`	Semi-Orthogonal Multilinear PCA with Relaxed Start. CoRR Qiquan Shi, Haiping Lu
2013	A*	`conf`	Learning Canonical Correlations of Paired Tensor Sets Via Tensor-to-Vector Projection. IJCAI Haiping Lu
2013	—	`conf`	Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model. ECML/PKDD (2) Haiping Lu
2013	J	`jnl`	Quantifying Limb Movements in Epileptic Seizures Through Color-Based Video Analysis. IEEE Trans. Biomed. Eng. Haiping Lu, Yaozhang Pan, Bappaditya Mandal, How-Lung Eng, Cuntai Guan, Derrick Wei Shih Chan
2012	—	`conf`	Non-intrusive head movement analysis of videotaped seizures of epileptic origin. EMBC Bappaditya Mandal, How-Lung Eng, Haiping Lu, Derrick Wei Shih Chan, Yen-Ling Ng
2011	J	`jnl`	A survey of multilinear subspace learning for tensor data. Pattern Recognit. Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2011	—	`conf`	Markerless video analysis for movement quantification in pediatric epilepsy monitoring. EMBC Haiping Lu, How-Lung Eng, Bappaditya Mandal, Derrick Wei Shih Chan, Yen-Ling Ng
2010	J	`jnl`	Fuzzy key binding strategies based on quantization index modulation (QIM) for biometric encryption (BE) applications. IEEE Trans. Inf. Forensics Secur. Francis Minhthang Bui, Karl Martin, Haiping Lu, Konstantinos N. Plataniotis, Dimitrios Hatzinakos
2010	J	`jnl`	Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting. IEEE Trans. Biomed. Eng. Haiping Lu, How-Lung Eng, Cuntai Guan, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2010	A	`conf`	Visualization and clustering of crowd video content in MPCA subspace. CIKM Haiping Lu, How-Lung Eng, Myo Thida, Konstantinos N. Plataniotis
2009	J	`jnl`	A Biometric Encryption System for the Self-Exclusion Scenario of Face Recognition. IEEE Syst. J. Karl Martin, Haiping Lu, Francis Minhthang Bui, Konstantinos N. Plataniotis, Dimitrios Hatzinakos
2009	J	`jnl`	Boosting Discriminant Learners for Gait Recognition Using MPCA Features. EURASIP J. Image Video Process. Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2009	—	`conf`	Face recognition with biometric encryption for privacy-enhancing self-exclusion. DPS Haiping Lu, Karl Martin, Francis Bui, Konstantinos N. Plataniotis, Dimitrios Hatzinakos
2009	J	`jnl`	Gaussian kernel optimization for pattern classification. Pattern Recognit. Jie Wang, Haiping Lu, Konstantinos N. Plataniotis, Juwei Lu
2009	J	`jnl`	Uncorrelated Multilinear Discriminant Analysis With Regularization and Aggregation for Tensor Object Recognition. IEEE Trans. Neural Networks Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2009	J	`jnl`	Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning. IEEE Trans. Neural Networks Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2008	J	`jnl`	A Full-Body Layered Deformable Model for Automatic Model-Based Gait Recognition. EURASIP J. Adv. Signal Process. Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2008	J	`jnl`	MPCA: Multilinear Principal Component Analysis of Tensor Objects. IEEE Trans. Neural Networks Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2008	A*	`conf`	Uncorrelated multilinear principal component analysis through successive variance maximization. ICML Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2006	—	`conf`	A Layered Deformable Model for Gait Analysis. FGR Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2006	A	`conf`	Coarse-to-Fine Pedestrian Localization and Silhouette Extraction for the Gait Challenge Data Sets. ICME Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2006	—	`conf`	Multilinear Principal Component Analysis of Tensor Objects for Recognition. ICPR (2) Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos
2005	J	`jnl`	Binary Image Watermarking Through Blurring, Biased Binarization. Int. J. Image Graph. Haiping Lu, Yun Q. Shi, Alex C. Kot, Lihui Chen
2004	J	`jnl`	Distance-reciprocal distortion measure for binary document images. IEEE Signal Process. Lett. Haiping Lu, A. C. Kot, Yun Q. Shi
2003	A	`conf`	Binary image watermarking through biased binarization. ICME Haiping Lu, Alex C. Kot, Susanto Rahardja
2003	—	`conf`	Secure data hiding in binary document images for authentication. ISCAS (3) Haiping Lu, Alex C. Kot, Jun Cheng
2002	—	`conf`	An Objective Distortion Measure for Binary Document Images Based on Human Visual Perceptio. ICPR (4) Haiping Lu, Jian Wang, Alex C. Kot, Yun Q. Shi
2002	C	`conf`	Effective and efficient fingerprint image postprocessing. ICARCV Haiping Lu, Xudong Jiang, Wei-Yun Yau
2002	C	`conf`	Watermark embedding in DC components of DCT for binary images. IEEE Workshop on Multimedia Signal Processing Haiping Lu, Xuxia Shi, Yun Q. Shi, Alex C. Kot, Lihui Chen