Lei Xu - RankMe

290 papers A* 19A 3B 26C 12Misc 9Journal 122Unranked 92

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An EEG-based dual-stream spatial-spectral-temporal large model for self-limited epilepsy with centrotemporal spikes. Expert Syst. Appl. Lin Zhang, Yun Ren, Fang Yuan, Xuqin Chen, Shikui Tu, Lei Xu
2026	J	`jnl`	Factored Causal Representation Learning for Robust Reward Modeling in RLHF. CoRR Yupei Yang, Lin Yang, Wanxi Deng, Lin Qu, Fan Feng, Biwei Huang, Shikui Tu, Lei Xu
2026	A*	`conf`	Full-Atom Peptide Design via Riemannian-Euclidean Bayesian Flow Networks. AAAI Hao Qian, Shikui Tu, Lei Xu
2026	A*	`conf`	SEBSFormer: A Spectral-Enhanced Bi-Stream Transformer for Robust EEG Decoding. AAAI Lin Zhang, Shikui Tu, Lei Xu
2026	J	`jnl`	UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates. CoRR Yupei Yang, Lin Yang, Wanxi Deng, Lin Qu, Shikui Tu, Lei Xu
2025	—	`conf`	CATSyn: Predicting Synergistic Drug Combinations Through Context-Aware Heterogeneous Graph Convolution Model. BIBM Biyang Zeng, Shikui Tu, Wen Zhang, Lei Xu
2025	J	`jnl`	Cauchy-Schwarz bounded trade-off weighting for causal inference with small sample sizes. Int. J. Approx. Reason. Qin Ma, Shikui Tu, Lei Xu
2025	J	`jnl`	DEPTH: Hallucination-Free Relation Extraction via Dependency-Aware Sentence Simplification and Two-tiered Hierarchical Refinement. CoRR Yupei Yang, Fan Feng, Lin Yang, Wanxi Deng, Lin Qu, Biwei Huang, Shikui Tu, Lei Xu
2025	—	`conf`	Enhancing piRNA Cleavage Prediction with piR-DANN: Integrating In Vitro and In Vivo Insights. BIBM Lin Zeng, Shikui Tu, Lei Xu
2025	J	`jnl`	Full-Atom Peptide Design via Riemannian-Euclidean Bayesian Flow Networks. CoRR Hao Qian, Shikui Tu, Lei Xu
2025	J	`jnl`	Generative design and validation of therapeutic peptides for glioblastoma based on a potential target ATP5A. CoRR Hao Qian, Pu You, Lin Zeng, Jingyuan Zhou, Dengdeng Huang, Kaicheng Li, Shikui Tu, Lei Xu
2025	J	`jnl`	GraphFusion: Integrative prediction of drug synergy using multi-scale graph representations and cell line contexts. J. Biomed. Informatics Biyang Zeng, Shikui Tu, Lei Xu
2025	J	`jnl`	Multi-Objective Structure-Based Drug Design Using Causal Discovery. IEEE Trans. Comput. Biol. Bioinform. Jingyuan Zhou, Dengwei Zhao, Hao Qian, Shikui Tu, Lei Xu
2025	J	`jnl`	PFB-Diff: Progressive Feature Blending diffusion for text-driven image editing. Neural Networks Wenjing Huang, Shikui Tu, Lei Xu
2025	J	`jnl`	Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number. CoRR Jingyuan Zhou, Hao Qian, Shikui Tu, Lei Xu
2025	—	`conf`	S3GA: Towards Scalable Self-Supervised Learning for Large Scale Graph Alignment. KDD (2) Wenqi Guo, Shikui Tu, Lei Xu
2025	J	`jnl`	SketchMLP: effectively utilize rasterized images and drawing sequences for sketch recognition. Mach. Learn. Tengjie Li, Shikui Tu, Lei Xu
2025	J	`jnl`	Text to Sketch Generation with Multi-Styles. CoRR Tengjie Li, Shikui Tu, Lei Xu
2025	A*	`conf`	Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations. ICLR Yupei Yang, Biwei Huang, Fan Feng, Xinyue Wang, Shikui Tu, Lei Xu
2024	J	`jnl`	A Deep Reinforcement Learning Approach for Portfolio Management in Non-Short-Selling Market. IET Signal Process. Ruidan Su, Chun Chi, Shikui Tu, Lei Xu
2024	—	`conf`	A Multimodal Deep Neural Network for Causally Learning Chest X-ray Images. BIBM Qin Ma, Lin Zeng, Shikui Tu, Lei Xu
2024	J	`jnl`	Automated diagnosis of cervical spine physiological curvature based on deep neural networks with transformer by using nmODE. Appl. Intell. Qingtai Li, Yi Yang, Lei Xu, Yiwei Shen, Nengmin Yi, Zhang Yi, Daji Ergu, Ying Cai
2024	A*	`conf`	Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. IJCAI Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu
2024	J	`jnl`	Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. CoRR Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu
2024	J	`jnl`	De Novo Drug Design by Multi-Objective Path Consistency Learning With Beam A IEEE ACM Trans. Comput. Biol. Bioinform. Dengwei Zhao, Jingyuan Zhou, Shikui Tu, Lei Xu
2024	J	`jnl`	IA-NGM: A bidirectional learning method for neural graph matching with feature fusion. Mach. Learn. Tianxiang Qin, Shikui Tu, Lei Xu
2024	J	`jnl`	KGDiff: towards explainable target-aware molecule generation with knowledge guidance. Briefings Bioinform. Hao Qian, Wenjing Huang, Shikui Tu, Lei Xu
2024	J	`jnl`	Lmser-pix2seq: Learning stable sketch representations for sketch healing. Comput. Vis. Image Underst. Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu
2024	—	`conf`	MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection. BIBM Zeyu Zhang, Nengmin Yi, Shengbo Tan, Ying Cai, Yi Yang, Lei Xu, Qingtai Li, Zhang Yi, Daji Ergu, Yang Zhao
2024	J	`jnl`	MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection. CoRR Zeyu Zhang, Nengmin Yi, Shengbo Tan, Ying Cai, Yi Yang, Lei Xu, Qingtai Li, Zhang Yi, Daji Ergu, Yang Zhao
2024	A*	`conf`	Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. AAAI Zhousan Xie, Shikui Tu, Lei Xu
2024	—	`conf`	Novelty Encouraged Beam Clustering Search for Multi-Objective De Novo Diverse Drug Design. BIBM Dengwei Zhao, Shikui Tu, Lei Xu
2024	A*	`conf`	SeeA: Efficient Exploration-Enhanced A Search by Selective Sampling. NeurIPS Dengwei Zhao, Shikui Tu, Lei Xu
2024	J	`jnl`	Self-Organizing a Latent Hierarchy of Sketch Patterns for Controllable Sketch Synthesis. IEEE Trans. Neural Networks Learn. Syst. Sicong Zang, Shikui Tu, Lei Xu
2024	A*	`conf`	Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches. IJCAI Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu
2024	A*	`conf`	SketchEdit: Editing Freehand Sketches at the Stroke-Level. IJCAI Tengjie Li, Shikui Tu, Lei Xu
2023	—	`conf`	A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis. BIBM Lin Zhang, Yun Ren, Fang Yuan, Yangxin Zhu, Shikui Tu, Yucai Chen, Lei Xu
2023	Misc	`conf`	A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection. ICASSP Yao Zhou, Ruidan Su, Shikui Tu, Lei Xu
2023	—	`conf`	A Dynamic Graph Convolutional Network for Anti-money Laundering. ICIC (5) Tianpeng Wei, Biyang Zeng, Wenqi Guo, Zhenyu Guo, Shikui Tu, Lei Xu
2023	J	`jnl`	A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk. Patterns Peiying Li, Yongchang Liu, Jiafeng Zhou, Shikui Tu, Bing Zhao, Jieqing Wan, Yunjun Yang, Lei Xu
2023	A	`conf`	DeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network. DATE Dengwei Zhao, Shuai Yuan, Yanan Sun, Shikui Tu, Lei Xu
2023	A*	`conf`	GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. IJCAI Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu
2023	A*	`conf`	Generalized Weighted Path Consistency for Mastering Atari Games. NeurIPS Dengwei Zhao, Shikui Tu, Lei Xu
2023	—	`conf`	Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. ICONIP (1) Mingfei Li, Shikui Tu, Lei Xu
2023	J	`jnl`	IA-FaceS: A bidirectional method for semantic face editing. Neural Networks Wenjing Huang, Shikui Tu, Lei Xu
2023	A*	`conf`	Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. AAAI Sicong Zang, Shikui Tu, Lei Xu
2023	—	`conf`	Multi-source unsupervised domain-adaptation for automatic sleep staging. BIBM Yangxin Zhu, Shikui Tu, Lin Zhang, Lei Xu
2023	—	`conf`	PEST: A General-Purpose Protein Embedding Model for Homology Search. BIBM Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu
2023	J	`jnl`	PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing. CoRR Wenjing Huang, Shikui Tu, Lei Xu
2023	J	`jnl`	RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu
2023	A*	`conf`	Self-Supervised Bidirectional Learning for Graph Matching. AAAI Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu
2022	—	`conf`	A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification. BioCAS Lin Zhang, Yangxin Zhu, Shikui Tu, Lei Xu
2022	A*	`conf`	Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing. ACM Multimedia Wenjing Huang, Shikui Tu, Lei Xu
2022	J	`jnl`	Deep CNN Based Lmser and Strengths of Two Built-In Dualities. Neural Process. Lett. Wenjing Huang, Shikui Tu, Lei Xu
2022	J	`jnl`	Deep Rival Penalized Competitive Learning for low-resolution face recognition. Neural Networks Peiying Li, Shikui Tu, Lei Xu
2022	A*	`conf`	Efficient Learning for AlphaZero via Path Consistency. ICML Dengwei Zhao, Shikui Tu, Lei Xu
2022	—	`conf`	IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. ICONIP (1) Haoran Ma, Shikui Tu, Lei Xu
2022	J	`jnl`	IA-FaceS: A Bidirectional Method for Semantic Face Editing. CoRR Wenjing Huang, Shikui Tu, Lei Xu
2022	—	`conf`	Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. BIBM Qin Ma, Lin Zeng, Shikui Tu, Lei Xu
2022	—	`conf`	Learning to Generate Textual Adversarial Examples. ICANN (1) Xiangzhe Guo, Shikui Tu, Lei Xu
2022	J	`jnl`	Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. CoRR Sicong Zang, Shikui Tu, Lei Xu
2022	J	`jnl`	Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism. Briefings Bioinform. Peng Zhang, Shikui Tu, Wen Zhang, Lei Xu
2022	—	`conf`	RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. BIBM Peiying Li, Boheng Cao, Shikui Tu, Lei Xu
2022	—	`conf`	Searching for Textual Adversarial Examples with Learned Strategy. ICONIP (4) Xiangzhe Guo, Ruidan Su, Shikui Tu, Lei Xu
2022	—	`conf`	VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction. BIBM Lin Zeng, Haoran Ma, Long Xiang, Shikui Tu, Ying Wang, Liebin Zhao, Lei Xu
2021	—	`conf`	A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. PRICAI (1) Qingjie Sheng, Shikui Tu, Lei Xu
2021	J	`jnl`	Controllable stroke-based sketch synthesis from a self-organized latent space. Neural Networks Sicong Zang, Shikui Tu, Lei Xu
2021	J	`jnl`	Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition. CoRR Peiying Li, Shikui Tu, Lei Xu
2021	A*	`conf`	DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. AAAI Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu
2021	J	`jnl`	Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xiong Lv, Shikui Tu, Lei Xu
2021	—	`conf`	Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation. BIBM Rui Ma, Shikui Tu, Peiying Li, Jiafeng Zhou, Bing Zhao, Jieqing Wan, Lei Xu
2021	—	`conf`	Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation. BIBM Boheng Cao, Shikui Tu, Lei Xu
2021	A*	`conf`	IA-GM: A Deep Bidirectional Learning Method for Graph Matching. AAAI Kaixuan Zhao, Shikui Tu, Lei Xu
2021	—	`conf`	Multi-source unsupervised domain adaptation for ECG classification. BIBM Fucheng Deng, Shikui Tu, Lei Xu
2021	—	`conf`	RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction. BIBM Haodong Nie, Shikui Tu, Lei Xu
2020	A*	`conf`	Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. IJCAI Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu
2020	J	`jnl`	Learning deep IA bidirectional intelligence. Frontiers Inf. Technol. Electron. Eng. Lei Xu
2020	J	`jnl`	Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. CoRR Zhihao Xing, Shikui Tu, Lei Xu
2020	J	`jnl`	Two-variate phenotype-targeted tests for detecting phenotypic biomarkers in cancers. Int. J. Data Min. Bioinform. Jin-Xiong Lv, Shikui Tu, Lei Xu
2019	—	`conf`	A k-Dense-UNet for Biomedical Image Segmentation. IScIDE (1) Zhiwen Qiang, Shikui Tu, Lei Xu
2019	—	`conf`	A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer. BIBM Jin-Xiong Lv, Shikui Tu, Lei Xu
2019	J	`jnl`	An overview and perspectives on bidirectional intelligence: Lmser duality, double IA harmony, and causal computation. IEEE CAA J. Autom. Sinica Lei Xu
2019	—	`conf`	Computational Decomposition of Style for Controllable and Enhanced Style Transfer. IScIDE (2) Minchao Li, Shikui Tu, Lei Xu
2019	—	`conf`	Deep IA-BI and Five Actions in Circling. IScIDE (1) Lei Xu
2019	J	`jnl`	Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram. IEEE Access Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu
2019	A*	`conf`	GAN Flexible Lmser for Super-resolution. ACM Multimedia Peiying Li, Shikui Tu, Lei Xu
2019	J	`jnl`	Revisit Lmser and its further development based on convolutional layers. CoRR Wenjing Huang, Shikui Tu, Lei Xu
2019	—	`conf`	Revisit Lmser from a Deep Learning Perspective. IScIDE (2) Wenjing Huang, Shikui Tu, Lei Xu
2018	—	`conf`	An Enviro-Geno-Pheno State Analysis Framework for Biomarker Study. IScIDE Han-Chen Huang, Xianzi Wen, Shikui Tu, Jiafu Ji, Runsheng Chen, Lei Xu
2018	J	`jnl`	Computational Decomposition of Style for Controllable and Enhanced Style Transfer. CoRR Minchao Li, Shikui Tu, Lei Xu
2017	—	`conf`	A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population. IScIDE Jin-Xiong Lv, Shikui Tu, Lei Xu
2017	C	`conf`	A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. IDEAL Weijian Long, Shikui Tu, Lei Xu
2017	J	`jnl`	Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease. Neurocomputing Kai-Ming Jiang, Ya-Jing Chen, Jin-Xiong Lv, Bao-Liang Lu, Lei Xu
2017	J	`jnl`	Comparative studies on multivariate tests for joint-SNVs analysis and detection for bipolar disorder susceptibility genes. Int. J. Data Min. Bioinform. Jin-Xiong Lv, Han-Chen Huang, Runsheng Chen, Lei Xu
2017	J	`jnl`	Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories. CoRR Yajing Chen, Shikui Tu, Yuqi Yi, Lei Xu
2017	—	`conf`	Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes. IScIDE Yajing Chen, Shikui Tu, Lei Xu
2017	—	`conf`	The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma. IScIDE Yajing Chen, Shikui Tu, Lei Xu
2016	—	`conf`	A comparison study on multivariate methods for joint-SNVs association analysis. BIBM Jin-Xiong Lv, Han-Chen Huang, Runsheng Chen, Lei Xu
2015	—	`conf`	Bootstrapped Integrative Hypothesis Test, COPD-Lung Cancer Differentiation, and Joint miRNAs Biomarkers. IScIDE (2) Kai-Ming Jiang, Bao-Liang Lu, Lei Xu
2015	—	`ch.`	Machine Learning. Handbook of Computational Intelligence James Tin-Yau Kwok, Zhi-Hua Zhou, Lei Xu
2014	J	`jnl`	A comparative study of RPCL and MCE based discriminative training methods for LVCSR. Neurocomputing Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu
2014	J	`jnl`	A graph matching algorithm based on concavely regularized convex relaxation. Neurocomputing Zhiyong Liu, Hong Qiao, Li-Hao Jia, Lei Xu
2014	J	`jnl`	Learning binary factor analysis with automatic model selection. Neurocomputing Shikui Tu, Lei Xu
2014	J	`jnl`	Learning local factor analysis versus mixture of factor analyzers with automatic model selection. Neurocomputing Lei Shi, Zhiyong Liu, Shikui Tu, Lei Xu
2013	—	`conf`	Integrative Hypothesis Test and A5 Formulation: Sample Pairing Delta, Case Control Study, and Boundary Based Statistics. IScIDE Lei Xu
2013	J	`jnl`	Structuring Causal Tree Models with Continuous Variables CoRR Lei Xu, Judea Pearl
2012	C	`conf`	A non-Gaussian factor analysis approach to transcription Network Component Analysis. CIBCB Shikui Tu, Dingsheng Luo, Runsheng Chen, Lei Xu
2012	J	`jnl`	A theoretical investigation of several model selection criteria for dimensionality reduction. Pattern Recognit. Lett. Shikui Tu, Lei Xu
2012	J	`jnl`	An Extended Path Following Algorithm for Graph-Matching Problem. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyong Liu, Hong Qiao, Lei Xu
2012	—	`conf`	Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning. IScIDE Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu
2012	—	`conf`	Matrix-Variate Discriminative Analysis, Integrative Hypothesis Testing, and Geno-Pheno A5 Analyzer. IScIDE Lei Xu
2012	J	`jnl`	Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm. J. Integr. Bioinform. Shikui Tu, Runsheng Chen, Lei Xu
2011	—	`conf`	A Comparative Study of RPCL and MCE Based Discriminative Training Methods for LVCSR. IScIDE Zaihu Pang, Xihong Wu, Lei Xu
2011	—	`conf`	A Weight Regularized Relaxation Based Graph Matching Algorithm. IScIDE Zhiyong Liu, Hong Qiao, Lei Xu
2011	J	`jnl`	Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning. IEEE Trans. Signal Process. Lei Shi, Penghui Wang, Hongwei Liu, Lei Xu, Zheng Bao
2010	—	`conf`	A binary matrix factorization algorithm for protein complex prediction. BIBM Workshops Shikui Tu, Lei Xu, Runsheng Chen
2010	Misc	`conf`	A study of several model selection criteria for determining the number of signals. ICASSP Shikui Tu, Lei Xu
2010	Misc	`conf`	GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection. ICASSP Dan Su, Xihong Wu, Lei Xu
2010	—	`conf`	Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning. BIBM Lei Shi, Shikui Tu, Lei Xu
2010	J	`jnl`	Influence of Semi-Rigid Connections and Local Joint Damage on Progressive Collapse of Steel Frameworks. Comput. Aided Civ. Infrastructure Eng. Yuxin Liu, Lei Xu, Donald E. Grierson
2010	J	`jnl`	Machine learning problems from optimization perspective. J. Glob. Optim. Lei Xu
2010	Misc	`conf`	Radar HRRP statistical recognition with Local Factor Analysis by automatic Bayesian Ying Yang harmony learning. ICASSP Lei Shi, Penghui Wang, Hongwei Liu, Lei Xu, Zheng Bao
2009	—	`conf`	Canonical Dual Approach to Binary Factor Analysis. ICA Ke Sun, Shikui Tu, David Yang Gao, Lei Xu
2009	—	`ch.`	Combining Classifiers and Learning Mixture-of-Experts. Encyclopedia of Artificial Intelligence Lei Xu, Shun-ichi Amari
2009	—	`ch.`	Independent Subspaces. Encyclopedia of Artificial Intelligence Lei Xu
2009	—	`ch.`	Randomized Hough Transform. Encyclopedia of Artificial Intelligence Lei Xu, Erkki Oja
2009	—	`conf`	Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction. ICA Shikui Tu, Lei Xu
2008	—	`conf`	A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. ICANN (1) Shikui Tu, Lei Shi, Lei Xu
2008	—	`ch.`	A Probability Theory Perspective on the Zadeh Fuzzy System. Data Mining: Foundations and Practice Qing Shi Gao, Xiao Yu Gao, Lei Xu
2008	—	`conf`	Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family. WCCI Lei Xu
2008	—	`conf`	Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis. ICANN (1) Ke Sun, Lei Xu
2007	—	`ch.`	A Trend on Regularization and Model Selection in Statistical Learning: Challenges for Computational Intelligence Lei Xu
2007	J	`jnl`	A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving. Pattern Recognit. Lei Xu
2007	J	`jnl`	Bayesian Ying Yang learning. Scholarpedia Lei Xu
2007	J	`jnl`	Investigation on Multisets Mixture Learning Based Object Detection. Int. J. Pattern Recognit. Artif. Intell. Zhiyong Liu, Hong Qiao, Lei Xu
2007	J	`jnl`	One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics. Neural Comput. Lei Xu
2007	J	`jnl`	Rival penalized competitive learning. Scholarpedia Lei Xu
2006	J	`jnl`	A Comparative Investigation on Model Selection in Independent Factor Analysis. J. Math. Model. Algorithms Yujia An, Xuelei Hu, Lei Xu
2006	—	`conf`	A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models. ISNN (1) Xuelei Hu, Lei Xu
2006	—	`conf`	Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network. ICANN (1) Lei Shi, Lei Xu
2006	—	`conf`	Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application. ICANN (2) Lei Shi, Lei Xu
2006	J	`jnl`	Multisets mixture learning-based ellipse detection. Pattern Recognit. Zhiyong Liu, Hong Qiao, Lei Xu
2005	—	`ch.`	A Comparative Investigation on Model Selection in Binary Factor Analysis. Foundations of Data Mining and knowledge Discovery Yujia An, Xuelei Hu, Lei Xu
2005	J	`jnl`	A Further Result on the ICA One-Bit-Matching Conjecture. Neural Comput. Jinwen Ma, Zhiyong Liu, Lei Xu
2005	Misc	`conf`	A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination. GrC Lei Xu
2005	J	`jnl`	Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture. Neurocomputing Jinwen Ma, Lei Xu
2005	J	`jnl`	Nonlinear analysis of steel frameworks through direct modification of member stiffness properties. Adv. Eng. Softw. Lei Xu, Yuxin Liu, Donald E. Grierson
2005	—	`conf`	One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization. ISNN (1) Lei Xu
2004	J	`jnl`	A comparative investigation on subspace dimension determination. Neural Networks Xuelei Hu, Lei Xu
2004	J	`jnl`	A gradient BYY harmony learning rule on Gaussian mixture with automated model selection. Neurocomputing Jinwen Ma, Taijun Wang, Lei Xu
2004	J	`jnl`	Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination. IEEE Trans. Neural Networks Lei Xu
2004	J	`jnl`	Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management. Decis. Support Syst. Kai Chun Chiu, Lei Xu
2004	—	`conf`	Automatic Cluster Number Determination via BYY Harmony Learning. ISNN (1) Xuelei Hu, Lei Xu
2004	J	`jnl`	Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus
2004	J	`jnl`	Investigations on non-Gaussian factor analysis. IEEE Signal Process. Lett. Zhiyong Liu, Kai Chun Chiu, Lei Xu
2004	C	`conf`	Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition. IDEAL Jinwen Ma, Zhiyong Liu, Lei Xu
2004	J	`jnl`	One-Bit-Matching Conjecture for Independent Component Analysis. Neural Comput. Zhiyong Liu, Kai Chun Chiu, Lei Xu
2004	J	`jnl`	Temporal BYY encoding, Markovian state spaces, and space dimension determination. IEEE Trans. Neural Networks Lei Xu
2003	C	`conf`	A Comparative Study of Several Cluster Number Selection Criteria. IDEAL Xuelei Hu, Lei Xu
2003	J	`jnl`	An extended ASLD trading system to enhance portfolio management. IEEE Trans. Neural Networks Kei-Keung Hung, Yiu-ming Cheung, Lei Xu
2003	C	`ed.`	Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings ICANN Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu
2003	J	`jnl`	BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units. Neurocomputing Lei Xu
2003	J	`jnl`	Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation". IEEE Trans. Syst. Man Cybern. Part B Yiu-ming Cheung, Lei Xu
2003	J	`jnl`	Corrigendum to "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units" [Neurocomputing 51 (2003) 277-301]. Neurocomputing Lei Xu
2003	J	`jnl`	Data smoothing regularization, multi-sets-learning, and problem solving strategies. Neural Networks Lei Xu
2003	B	`conf`	Data-smoothing regularization, normalization regularization, and competition-penalty mechanism for statistical learning and multi-agents. IJCNN Lei Xu
2003	B	`conf`	Distribution approximation, combinatorial optimization, and Lagrange-Barrier. IJCNN Lei Xu
2003	J	`jnl`	Dual multivariate auto-regressive modeling in state space for temporal signal separation. IEEE Trans. Syst. Man Cybern. Part B Yiu-ming Cheung, Lei Xu
2003	C	`conf`	Empirical Comparison between Two Computational Strategies for Topological Self-Organization. IDEAL Bonnie Kit Yee Chan, Wilson Wei Sheng Chu, Lei Xu
2003	J	`jnl`	Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm. Neurocomputing Yiu-ming Cheung, Lei Xu
2003	J	`jnl`	Improved system for object detection and star/galaxy classification via local subspace analysis. Neural Networks Zhiyong Liu, Kai Chun Chiu, Lei Xu
2003	—	`conf`	Local PCA for Strip Line Detection and Thinning. EMMCVPR Zhiyong Liu, Kai Chun Chiu, Lei Xu
2003	—	`conf`	Medical data mining model for oriental medicine via BYY Binary Independent Factor Analysis. ISCAS (5) Jeong-Yon Shim, Lei Xu
2003	—	`conf`	On generalized arbitrage pricing theory analysis: empirical investigation of the macroeconomics modulated independent state-space model. CIFEr Kai Chun Chiu, Lei Xu
2003	—	`conf`	Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns. MLDM Kai Chun Chiu, Lei Xu
2003	J	`jnl`	Strip line detection and thinning by RPCL-based local PCA. Pattern Recognit. Lett. Zhiyong Liu, Kai Chun Chiu, Lei Xu
2003	J	`jnl`	Topological local principal component analysis. Neurocomputing Zhiyong Liu, Lei Xu
2002	C	`conf`	A Comparative Study on Three MAP Factor Estimate Approaches for NFA. IDEAL Zhiyong Liu, Lei Xu
2002	J	`jnl`	A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem. Neural Comput. Chuangyin Dang, Lei Xu
2002	J	`jnl`	BYY harmony learning, structural RPCL, and topological self-organizing on mixture models. Neural Networks Lei Xu
2002	J	`jnl`	Errata to "BYY harmony learning, independent state space, and generalized apt financial analyses". IEEE Trans. Neural Networks Lei Xu
2002	C	`conf`	Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management. ICANN Kai Chun Chiu, Lei Xu
2002	C	`conf`	Mining Dependence Structures from Statistical Learning Perspective. IDEAL Lei Xu
2002	C	`conf`	On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model. ICANN Zhiyong Liu, Lei Xu
2002	C	`conf`	Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning. IDEAL Kai Chun Chiu, Lei Xu
2002	—	`conf`	White Noise Tests and APT Economic Factor Syntheses Using Temporal Factor Analysis. JCIS Kai Chun Chiu, Lei Xu
2001	J	`jnl`	A PCA approach for fast retrieval of structural patterns in attributed graphs. IEEE Trans. Syst. Man Cybern. Part B Lei Xu, Irwin King
2001	J	`jnl`	A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem. Neural Networks Chuangyin Dang, Lei Xu
2001	—	`conf`	An Overview on Unsupervised Learning from Data Mining Perspective. WSOM Lei Xu
2001	J	`jnl`	Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures. Neural Comput. Jinwen Ma, Lei Xu, Michael I. Jordan
2001	J	`jnl`	BYY harmony learning, independent state space, and generalized APT financial analyses. IEEE Trans. Neural Networks Lei Xu
2001	J	`jnl`	Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, Three-Layer Nets and ME-RBF-SVM Models. Int. J. Neural Syst. Lei Xu
2001	J	`jnl`	Independent component ordering in ICA time series analysis. Neurocomputing Yiu-ming Cheung, Lei Xu
2001	A*	`conf`	RPCL-Based Local PCA Algorithm. ICDM Zhiyong Liu, Lei Xu
2001	A	`conf`	Scan array solution for testing power and testing time. ITC Lei Xu, Yihe Sun, Hongyi Chen
2000	J	`jnl`	A Barrier Function Method for the Nonconvex Quadratic Programming Problem with Box Constraints. J. Glob. Optim. Chuangyin Dang, Lei Xu
2000	—	`conf`	A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States. IJCNN (4) Yiu-ming Cheung, Lei Xu
2000	—	`conf`	Adaptive Improved Portfolio Sharpe Ratio Maximization with Diversification. IJCNN (4) Xiaohui Yu, Lei Xu
2000	—	`conf`	An Application of Independent Component Analysis in the Arbitrage Pricing Theory. IJCNN (5) Fung Yip, Lei Xu
2000	J	`jnl`	An RPCL-based approach for Markov model identification with unknown state number. IEEE Signal Process. Lett. Yiu-ming Cheung, Lei Xu
2000	J	`jnl`	BYY learning system and theory for parameter estimation, data smoothing based regularization and model selection. Neural Parallel Sci. Comput. Lei Xu
2000	C	`conf`	Best Harmony Learning. IDEAL Lei Xu
2000	—	`conf`	New Sharpe-ratio-related methods for portfolio selection. CIFEr Kei-Keung Hung, Chi Chiu Cheung, Lei Xu
2000	J	`jnl`	Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation. Int. J. Neural Syst. Yiu-ming Cheung, Lei Xu
2000	J	`jnl`	Some global and local convergence analysis on the information-theoretic independent component analysis approach. Neurocomputing Chi Chiu Cheung, Lei Xu
2000	J	`jnl`	Temporal BYY learning for state space approach, hidden Markov model, and blind source separation. IEEE Trans. Signal Process. Lei Xu
1999	B	`conf`	An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separation. IJCNN Yiu-ming Cheung, Lei Xu
1999	B	`conf`	An empirical method to select dominant independent components in ICA for time series analysis. IJCNN Yiu-ming Cheung, Lei Xu
1999	B	`conf`	Autoregressive signal separation approach with seesaw-mapping technique on temporal source separation. IJCNN Yiu-ming Cheung, Lei Xu
1999	B	`conf`	BYY data smoothing based learning on a small size of samples. IJCNN Lei Xu
1999	B	`conf`	Bayesian ying-yang supervised learning, modular models, and three layer nets. IJCNN Lei Xu
1999	B	`conf`	Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulation. IJCNN Lei Xu
1999	B	`conf`	Data mining, unsupervised learning and Bayesian ying-yang theory. IJCNN Lei Xu
1999	B	`conf`	Further improvement of adaptive supervised learning decision (ASLD) network in stock market. IJCNN Kei-Keung Hung, Lei Xu
1999	—	`conf`	Further study of adaptive supervised learning decision (ASLD) network in stock market. NSIP Kei-Keung Hung, Lei Xu
1999	J	`jnl`	Improved learning algorithms for mixture of experts in multiclass classification. Neural Networks Ke Chen, Lei Xu, Huisheng Chi
1999	B	`conf`	On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique. IJCNN Ping Guo, Lei Xu
1999	—	`conf`	Region number determination in automatic image segmentation based on BKYY model selection criterion. NSIP Ping Guo, Chi Chiu Cheung, Lei Xu
1999	B	`conf`	Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensor-motor integration. IJCNN Lei Xu
1999	B	`conf`	Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components. IJCNN Lei Xu
1999	—	`conf`	The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis. NSIP Yiu-ming Cheung, Lei Xu
1998	Misc	`conf`	Adaptive RBF net algorithms for nonlinear signal learning with applications to financial prediction and investment. ICASSP Lei Xu
1998	B	`conf`	An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts. ICONIP Wing-Kai Lam, Lei Xu
1998	Misc	`conf`	An experimental comparison of the Bayesian Ying-Yang criteria and cross validation for selection on number of hidden units in feedforward networks. ICASSP Wing-Kai Lam, Lei Xu
1998	B	`conf`	Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification. ICPR Wing-Kai Lam, Ning Ouyang, Lei Xu
1998	B	`conf`	BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number. ICONIP Lei Xu
1998	J	`jnl`	Bayesian Kullback Ying-Yang dependence reduction theory. Neurocomputing Lei Xu
1998	B	`conf`	Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach (VII): Data Smoothing. ICONIP Lei Xu
1998	B	`conf`	Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control. ICONIP Lei Xu
1998	—	`conf`	Cointegration by MCA and modular MCA. CIFEr Lei Xu, Wai-Man Leung
1998	B	`conf`	Comparison between Mixture of ARMA and Mixture of AR Model with Application to Time Series Forecasting. ICONIP Ho Yin Kwok, Chi-Ming Chen, Lei Xu
1998	B	`conf`	Financial Prediction by Finite Mixture GARCH Model. ICONIP Wai Ching Wong, Fung Yip, Lei Xu
1998	—	`conf`	Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images. Multimedia Information Analysis and Retrieval F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu
1998	B	`conf`	Intra-block algorithm for digital watermarking. ICPR F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu
1998	J	`jnl`	Learned parametric mixture based ICA algorithm. Neurocomputing Lei Xu, Chi Chiu Cheung, Shun-ichi Amari
1998	J	`jnl`	RBF nets, mixture experts, and Bayesian Ying-Yang learning. Neurocomputing Lei Xu
1998	B	`conf`	Rival Penalized Competitive Learning Based Separator on Binary Sources Separation. ICONIP Yiu-ming Cheung, Lei Xu
1998	B	`conf`	The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm. ICONIP Jinwen Ma, Lei Xu
1998	B	`conf`	The Role of Statistical Theory in the Future Research on Brain-like Systems. ICONIP Lei Xu
1997	J	`jnl`	Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment. Int. J. Neural Syst. Yiu-ming Cheung, Wai-Man Leung, Lei Xu
1997	—	`conf`	Adaptive supervised learning decision networks for traders and portfolios. CIFEr Lei Xu, Yiu-ming Cheung
1997	—	`conf`	An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts. ICNN Wing-Kai Lam, Fai Yung, Lei Xu
1997	J	`jnl`	Bayesian Ying-Yang machine, clustering and number of clusters. Pattern Recognit. Lett. Lei Xu
1997	J	`jnl`	Comparative Analysis on Convergence Rates of The EM Algorithm and Its Two Modifications for Gaussian Mixtures. Neural Process. Lett. Lei Xu
1997	—	`conf`	Independent component analysis by the information-theoretic approach with mixture of densities. ICNN Lei Xu, Chi Chiu Cheung, Howard Hua Yang, Shun-ichi Amari
1997	—	`conf`	New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals. ICNN Lei Xu
1997	B	`conf`	Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densities. ESANN Lei Xu, Chi Chiu Cheung, Jiong Ruan, Shun-ichi Amari
1997	—	`conf`	Separation of two independent sources by the information-theoretic approach with cubic nonlinearity. ICNN Chi Chiu Cheung, Lei Xu
1997	—	`conf`	Some further studies on detection the number of clusters. ICNN Yiu-ming Cheung, Lei Xu
1997	J	`jnl`	Yet another algorithm which can generate topography map. IEEE Trans. Neural Networks John Sum, Chi-Sing Leung, Lai-Wan Chan, Lei Xu
1996	—	`conf`	Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor with application to financial investment. CIFEr Yiu-ming Cheung, Helen Z. H. Lai, Lei Xu
1996	—	`conf`	Application of adaptive RPCL-CLP with trading system to foreign exchange investment. ICNN Yiu-ming Cheung, Helen Z. H. Lai, Lei Xu
1996	—	`conf`	Application of adaptive RPCL-CLP with trading system to foreign exchange investment. ICNN Yiu-ming Cheung, Helen Z. H. Lai, Lei Xu
1996	—	`conf`	How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition. ICNN Lei Xu
1996	J	`jnl`	Learning Multiple Causes by Competition Enhanced least mean Square error Reconstruction. Int. J. Neural Syst. Bailing Zhang, Lei Xu, Minyue Fu
1996	J	`jnl`	On Convergence Properties of the EM Algorithm for Gaussian Mixtures. Neural Comput. Lei Xu, Michael I. Jordan
1996	—	`conf`	The probability distribution of parameters learned with the EM algorithm. ICNN Kazushi Ikeda, Lei Xu
1996	—	`conf`	Trading mechanisms and return volatility: empirical investigation on Shanghai Stock Exchange based on a neural network model. CIFEr Helen Z. H. Lai, Yiu-ming Cheung, Lei Xu
1995	—	`conf`	A RPCL-CLP architecture for financial time series forecasting. ICNN Yiu-ming Cheung, Wai-Man Leung, Lei Xu
1995	—	`conf`	A Unified Learning Scheme: Bayesian-Kullback Ying-Yang Machines. NIPS Lei Xu
1995	J	`jnl`	Bayesian Self-Organization Driven by Prior Probability Distributions. Neural Comput. Alan L. Yuille, Stelios M. Smirnakis, Lei Xu
1995	J	`jnl`	Convergence results for the EM approach to mixtures of experts architectures. Neural Networks Michael I. Jordan, Lei Xu
1995	—	`conf`	Least Mean Square Error Reconstruction Learning in Recurrent Network. ICNN Bailing Zhang, Qin Zhou, Irwin King, Lei Xu
1995	—	`conf`	On L ICNN Adam Krzyzak, Stan Klasa, Lei Xu
1995	J	`jnl`	Probabilistic and non-probabilistic Hough transforms: overview and comparisons. Image Vis. Comput. Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja
1995	J	`jnl`	Robust principal component analysis by self-organizing rules based on statistical physics approach. IEEE Trans. Neural Networks Lei Xu, Alan L. Yuille
1994	—	`conf`	An Alternative Model for Mixtures of Experts. NIPS Lei Xu, Michael I. Jordan, Geoffrey E. Hinton
1994	—	`conf`	Comparisons of Probabilistic and Non-probabilistic Hough Transforms. ECCV (2) Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja
1994	—	`conf`	On L ICPR (2) Adam Krzyzak, Stan Klasa, Lei Xu
1994	J	`jnl`	On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. Neural Networks Lei Xu, Adam Krzyzak, Alan L. Yuille
1993	—	`conf`	Bayesian Self-Organization. NIPS Alan L. Yuille, Stelios M. Smirnakis, Lei Xu
1993	J	`jnl`	Least mean square error reconstruction principle for self-organizing neural-nets. Neural Networks Lei Xu
1993	J	`jnl`	Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. IEEE Trans. Neural Networks Lei Xu, Adam Krzyzak, Erkki Oja
1992	—	`conf`	Further developments on RHT: basic mechanisms, algorithms, and computational complexities. ICPR (1) Lei Xu, Erkki Oja
1992	J	`jnl`	Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Syst. Man Cybern. Lei Xu, Adam Krzyzak, Ching Y. Suen
1992	J	`jnl`	Modified Hebbian learning for curve and surface fitting. Neural Networks Lei Xu, Erkki Oja, Ching Y. Suen
1992	—	`conf`	Randomized Hough transform applied to translational and rotational motion analysis. ICPR (1) Heikki Kälviäinen, Erkki Oja, Lei Xu
1992	J	`jnl`	Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. Int. J. Neural Syst. Lei Xu, Stan Klasa, Alan L. Yuille
1992	—	`conf`	Self-Organizing Rules for Robust Principal Component Analysis. NIPS Lei Xu, Alan L. Yuille
1992	—	`conf`	Unsupervised and supervised classifications by rival penalized competitive learning. ICPR (2) Lei Xu, Adam Krzyzak, Erkki Oja
1991	J	`jnl`	Neural Nets for Dual Subspace Pattern Recognition Method. Int. J. Neural Syst. Lei Xu, Adam Krzyzak, Erkki Oja
1990	J	`jnl`	A new curve detection method: Randomized Hough transform (RHT). Pattern Recognit. Lett. Lei Xu, Erkki Oja, Pekka Kultanen
1990	J	`jnl`	Adding Learned Expectation Into the Learning Procedure of Self-Organizing Maps. Int. J. Neural Syst. Lei Xu
1990	—	`conf`	Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching. EURASIP Workshop Lei Xu, Erkki Oja
1990	Misc	`conf`	Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. MVA Pekka Kultanen, Erkki Oja, Lei Xu
1990	—	`conf`	Randomized Hough transform (RHT). ICPR (1) Pekka Kultanen, Lei Xu, Erkki Oja
1988	B	`conf`	A method for recognizing configurations consisting of line sets and its application to discrimination of seismic face structures. ICPR Lei Xu
1988	J	`jnl`	Structuring causal tree models with continuous variables. Int. J. Approx. Reason. Lei Xu
1987	Misc	`conf`	Almost unique specification of discrete finite length signal: From its end point and Fourier transform magnitude. ICASSP Lei Xu, Pingfan Yan, Tong Chang
1987	A	`conf`	Structuring Causal Tree Models with Continuous Variables. UAI Lei Xu, Judea Pearl