Lei Xu

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 55

Top Venues

Publications

Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. CoRR (2024)
Tianxiang Qin, Shikui Tu, Lei Xu
IA-NGM: A bidirectional learning method for neural graph matching with feature fusion. Mach. Learn. 113 (4) (2024)
Zhousan Xie, Shikui Tu, Lei Xu
Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. AAAI (2024)
Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu
Lmser-pix2seq: Learning stable sketch representations for sketch healing. Comput. Vis. Image Underst. 240 (2024)
Peiying Li, Yongchang Liu, Jiafeng Zhou, Shikui Tu, Bing Zhao, Jieqing Wan, Yunjun Yang, Lei Xu
A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk. Patterns 4 (4) (2023)
Mingfei Li, Shikui Tu, Lei Xu
Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. ICONIP (1) (2023)
Dengwei Zhao, Shuai Yuan, Yanan Sun, Shikui Tu, Lei Xu
DeepTH: Chip Placement with Deep Reinforcement Learning Using a Three-Head Policy Network. DATE (2023)
Dengwei Zhao, Shikui Tu, Lei Xu
Generalized Weighted Path Consistency for Mastering Atari Games. NeurIPS (2023)
Hao Qian, Wenjing Huang, Shikui Tu, Lei Xu
KGDiff: towards explainable target-aware molecule generation with knowledge guidance. Briefings Bioinform. 25 (1) (2023)
Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu
PEST: A General-Purpose Protein Embedding Model for Homology Search. BIBM (2023)
Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu
Self-Supervised Bidirectional Learning for Graph Matching. AAAI (2023)
Yao Zhou, Ruidan Su, Shikui Tu, Lei Xu
A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection. ICASSP (2023)
Wenjing Huang, Shikui Tu, Lei Xu
IA-FaceS: A bidirectional method for semantic face editing. Neural Networks 158 (2023)
Wenjing Huang, Shikui Tu, Lei Xu
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing. CoRR (2023)
Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu
RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Sicong Zang, Shikui Tu, Lei Xu
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. AAAI (2023)
Tianpeng Wei, Biyang Zeng, Wenqi Guo, Zhenyu Guo, Shikui Tu, Lei Xu
A Dynamic Graph Convolutional Network for Anti-money Laundering. ICIC (5) (2023)
Lin Zhang, Yangxin Zhu, Shikui Tu, Lei Xu
A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification. BioCAS (2022)
Dengwei Zhao, Shikui Tu, Lei Xu
Efficient Learning for AlphaZero via Path Consistency. ICML (2022)
Lin Zeng, Haoran Ma, Long Xiang, Shikui Tu, Ying Wang, Liebin Zhao, Lei Xu
VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction. BIBM (2022)
Xiangzhe Guo, Ruidan Su, Shikui Tu, Lei Xu
Searching for Textual Adversarial Examples with Learned Strategy. ICONIP (4) (2022)
Sicong Zang, Shikui Tu, Lei Xu
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. CoRR (2022)
Peiying Li, Boheng Cao, Shikui Tu, Lei Xu
RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. BIBM (2022)
Wenjing Huang, Shikui Tu, Lei Xu
IA-FaceS: A Bidirectional Method for Semantic Face Editing. CoRR (2022)
Wenjing Huang, Shikui Tu, Lei Xu
Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing. ACM Multimedia (2022)
Peiying Li, Shikui Tu, Lei Xu
Deep Rival Penalized Competitive Learning for low-resolution face recognition. Neural Networks 148 (2022)
Wenjing Huang, Shikui Tu, Lei Xu
Deep CNN Based Lmser and Strengths of Two Built-In Dualities. Neural Process. Lett. 54 (5) (2022)
Haoran Ma, Shikui Tu, Lei Xu
IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. ICONIP (1) (2022)
Qin Ma, Lin Zeng, Shikui Tu, Lei Xu
Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. BIBM (2022)
Xiangzhe Guo, Shikui Tu, Lei Xu
Learning to Generate Textual Adversarial Examples. ICANN (1) (2022)
Qingjie Sheng, Shikui Tu, Lei Xu
A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. PRICAI (1) (2021)
Jin-Xiong Lv, Shikui Tu, Lei Xu
Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Lei Xu
Learning deep IA bidirectional intelligence. Frontiers Inf. Technol. Electron. Eng. 21 (4) (2020)
Zhihao Xing, Shikui Tu, Lei Xu
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. CoRR (2020)
Jin-Xiong Lv, Shikui Tu, Lei Xu
Two-variate phenotype-targeted tests for detecting phenotypic biomarkers in cancers. Int. J. Data Min. Bioinform. 24 (1) (2020)
Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu
Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram. IJCAI (2020)
Wenjing Huang, Shikui Tu, Lei Xu
Revisit Lmser from a Deep Learning Perspective. IScIDE (2) (2019)
Wenjing Huang, Shikui Tu, Lei Xu
Revisit Lmser and its further development based on convolutional layers. CoRR (2019)
Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu
Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram. IEEE Access 7 (2019)
Zhiwen Qiang, Shikui Tu, Lei Xu
A k-Dense-UNet for Biomedical Image Segmentation. IScIDE (1) (2019)
Lei Xu
Deep IA-BI and Five Actions in Circling. IScIDE (1) (2019)
Peiying Li, Shikui Tu, Lei Xu
GAN Flexible Lmser for Super-resolution. ACM Multimedia (2019)
Lei Xu
An overview and perspectives on bidirectional intelligence: Lmser duality, double IA harmony, and causal computation. IEEE CAA J. Autom. Sinica 6 (4) (2019)
Jin-Xiong Lv, Shikui Tu, Lei Xu
A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer. BIBM (2019)
Minchao Li, Shikui Tu, Lei Xu
Computational Decomposition of Style for Controllable and Enhanced Style Transfer. IScIDE (2) (2019)
Han-Chen Huang, Xianzi Wen, Shikui Tu, Jiafu Ji, Runsheng Chen, Lei Xu
An Enviro-Geno-Pheno State Analysis Framework for Biomarker Study. IScIDE (2018)
Minchao Li, Shikui Tu, Lei Xu
Computational Decomposition of Style for Controllable and Enhanced Style Transfer. CoRR (2018)
Yajing Chen, Shikui Tu, Lei Xu
Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes. IScIDE (2017)
Yajing Chen, Shikui Tu, Lei Xu
The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma. IScIDE (2017)
Jin-Xiong Lv, Shikui Tu, Lei Xu
A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population. IScIDE (2017)
Kai-Ming Jiang, Ya-Jing Chen, Jin-Xiong Lv, Bao-Liang Lu, Lei Xu
Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease. Neurocomputing 269 (2017)
Yajing Chen, Shikui Tu, Yuqi Yi, Lei Xu
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories. CoRR (2017)
Jin-Xiong Lv, Han-Chen Huang, Runsheng Chen, Lei Xu
Comparative studies on multivariate tests for joint-SNVs analysis and detection for bipolar disorder susceptibility genes. Int. J. Data Min. Bioinform. 17 (4) (2017)
Weijian Long, Shikui Tu, Lei Xu
A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. IDEAL (2017)
Jin-Xiong Lv, Han-Chen Huang, Runsheng Chen, Lei Xu
A comparison study on multivariate methods for joint-SNVs association analysis. BIBM (2016)
Kai-Ming Jiang, Bao-Liang Lu, Lei Xu
Bootstrapped Integrative Hypothesis Test, COPD-Lung Cancer Differentiation, and Joint miRNAs Biomarkers. IScIDE (2) (2015)
Shikui Tu, Lei Xu
Learning binary factor analysis with automatic model selection. Neurocomputing 134 (2014)
Zhiyong Liu, Hong Qiao, Li-Hao Jia, Lei Xu
A graph matching algorithm based on concavely regularized convex relaxation. Neurocomputing 134 (2014)
Lei Shi, Zhiyong Liu, Shikui Tu, Lei Xu
Learning local factor analysis versus mixture of factor analyzers with automatic model selection. Neurocomputing 139 (2014)
Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu
A comparative study of RPCL and MCE based discriminative training methods for LVCSR. Neurocomputing 134 (2014)
Lei Xu, Judea Pearl
Structuring Causal Tree Models with Continuous Variables CoRR (2013)
Lei Xu
Integrative Hypothesis Test and A5 Formulation: Sample Pairing Delta, Case Control Study, and Boundary Based Statistics. IScIDE (2013)
Shikui Tu, Dingsheng Luo, Runsheng Chen, Lei Xu
A non-Gaussian factor analysis approach to transcription Network Component Analysis. CIBCB (2012)
Shikui Tu, Runsheng Chen, Lei Xu
Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm. J. Integr. Bioinform. 9 (2) (2012)
Zhiyong Liu, Hong Qiao, Lei Xu
An Extended Path Following Algorithm for Graph-Matching Problem. IEEE Trans. Pattern Anal. Mach. Intell. 34 (7) (2012)
Shikui Tu, Lei Xu
A theoretical investigation of several model selection criteria for dimensionality reduction. Pattern Recognit. Lett. 33 (9) (2012)
Lei Xu
Matrix-Variate Discriminative Analysis, Integrative Hypothesis Testing, and Geno-Pheno A5 Analyzer. IScIDE (2012)
Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu
Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning. IScIDE (2012)
Zhiyong Liu, Hong Qiao, Lei Xu
A Weight Regularized Relaxation Based Graph Matching Algorithm. IScIDE (2011)
Lei Shi, Penghui Wang, Hongwei Liu, Lei Xu, Zheng Bao
Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning. IEEE Trans. Signal Process. 59 (2) (2011)
Zaihu Pang, Xihong Wu, Lei Xu
A Comparative Study of RPCL and MCE Based Discriminative Training Methods for LVCSR. IScIDE (2011)
Dan Su, Xihong Wu, Lei Xu
GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection. ICASSP (2010)
Shikui Tu, Lei Xu, Runsheng Chen
A binary matrix factorization algorithm for protein complex prediction. BIBM Workshops (2010)
Lei Shi, Shikui Tu, Lei Xu
Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning. BIBM (2010)
Lei Xu
Machine learning problems from optimization perspective. J. Glob. Optim. 47 (3) (2010)
Lei Shi, Penghui Wang, Hongwei Liu, Lei Xu, Zheng Bao
Radar HRRP statistical recognition with Local Factor Analysis by automatic Bayesian Ying Yang harmony learning. ICASSP (2010)
Shikui Tu, Lei Xu
A study of several model selection criteria for determining the number of signals. ICASSP (2010)
Shikui Tu, Lei Xu
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction. ICA (2009)
Ke Sun, Shikui Tu, David Yang Gao, Lei Xu
Canonical Dual Approach to Binary Factor Analysis. ICA (2009)
Ke Sun, Lei Xu
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis. ICANN (1) (2008)
Shikui Tu, Lei Shi, Lei Xu
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. ICANN (1) (2008)
Lei Xu
Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family. WCCI (2008)
Zhiyong Liu, Hong Qiao, Lei Xu
Investigation on Multisets Mixture Learning Based Object Detection. Int. J. Pattern Recognit. Artif. Intell. 21 (8) (2007)
Lei Xu
Rival penalized competitive learning. Scholarpedia 2 (8) (2007)
Lei Xu
Bayesian Ying Yang learning. Scholarpedia 2 (3) (2007)
Lei Xu
A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving. Pattern Recognit. 40 (8) (2007)
Lei Xu
One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics. Neural Comput. 19 (2) (2007)
Xuelei Hu, Lei Xu
A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models. ISNN (1) (2006)
Zhiyong Liu, Hong Qiao, Lei Xu
Multisets mixture learning-based ellipse detection. Pattern Recognit. 39 (4) (2006)
Lei Shi, Lei Xu
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network. ICANN (1) (2006)
Yujia An, Xuelei Hu, Lei Xu
A Comparative Investigation on Model Selection in Independent Factor Analysis. J. Math. Model. Algorithms 5 (4) (2006)
Lei Shi, Lei Xu
Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application. ICANN (2) (2006)
Lei Xu
One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization. ISNN (1) (2005)
Lei Xu
A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination. GrC (2005)
Lei Xu, Yuxin Liu, Donald E. Grierson
Nonlinear analysis of steel frameworks through direct modification of member stiffness properties. Adv. Eng. Softw. 36 (5) (2005)
Jinwen Ma, Lei Xu
Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture. Neurocomputing 68 (2005)
Jinwen Ma, Zhiyong Liu, Lei Xu
A Further Result on the ICA One-Bit-Matching Conjecture. Neural Comput. 17 (2) (2005)
Jinwen Ma, Taijun Wang, Lei Xu
A gradient BYY harmony learning rule on Gaussian mixture with automated model selection. Neurocomputing 56 (2004)
José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus
Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks 15 (4) (2004)
Lei Xu
Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination. IEEE Trans. Neural Networks 15 (4) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lei Xu