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ORCIDLei Xu 0001
徐雷
Person information
- unicode name: 徐雷
- affiliation: Shanghai Jiao Tong University, Centre for Cognitive Machines and Computational Health (CMaCH), China
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- affiliation (PhD): Tsinghua University, Beijing, China
Other persons with the same name
- Lei Xu — disambiguation page
- Lei Xu 0002 — University of Oxford, UK
- Lei Xu 0003
![[0000-0002-4815-2850]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4815-2850")
— Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing, China (and 1 more) - Lei Xu 0004 — Dublin City University, Ireland (and 1 more)
- Lei Xu 0005 — Altera (and 1 more)
- Lei Xu 0006 — Qualcomm (and 1 more)
- Lei Xu 0007 — University of Texas at Arlington
- Lei Xu 0008 — School of Mechanical & Electronic Engineering, Jingdezhen Ceramic Institute
- Lei Xu 0009 — Nokia Research Center
- Lei Xu 0010 — Dalian Maritime University
- Lei Xu 0011 — China University of Mining & Technology
- Lei Xu 0012 — Kent State University, Department of Computer Science, OH, USA (and 4 more)
- Lei Xu 0013 — The Hong Kong Polytechnic University
- Lei Xu 0014 — Johns Hopkins University
- Lei Xu 0015 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China (and 1 more)
- Lei Xu 0016 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 2 more)
- Lei Xu 0017 — NEC Labs America, Princeton, NJ, USA (and 1 more)
- Lei Xu 0018 — Shanghai University, School of Computer Engineering and Science, China
- Lei Xu 0019 — Nanjing University of Science and Technology, School of Science, China (and 1 more)
- Lei Xu 0020 — Hefei University of Technology, School of Computer Science and Information Engineering, China
- Lei Xu 0021 — Tianjin University of Technology, School of Management, China (and 1 more)
- Lei Xu 0022 — University of Electronic Science and Technology of China, Center for Information in Medicine, Chengdu, China
- Lei Xu 0023 — Chinese Academy of Sciences, State Key Laboratory of Computer Architecture, Institute of Computing Technology
- Lei Xu 0024 — Texas A&M University, SUCCESS Lab, College Station, TX, USA (and 1 more)
- Lei Xu 0025 — Xihua University, Department of Electronics and Business Management, Chengdu, China (and 1 more)
- Lei Xu 0026 — Shanxi University, Department of Automation, Mechatronics Laboratory, Taiyuan, China (and 1 more)
- Lei Xu 0027 — Nanjing Forestry University, College of Information Science and Technology, Nanjing, China
- Lei Xu 0028 — Northwestern Polytechnical University, Xi'an, China (and 1 more)
- Lei Xu 0029 — Xi'an Jiaotong University, Department of Biomedical Engineering, Xi'an, China (and 1 more)
- Lei Xu 0030 — Bank of Canada, Ottawa, Canada (and 1 more)
- Lei Xu 0031 — Tsinghua University, Department of Earth System Science, Key Laboratory for Earth System Modeling, Beijing, China
- Lei Xu 0032 — Wuhan University, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China
- Lei Xu 0033 — Chongqing College of Electronic Engineering, Scientific Research and Social Services Department, Chongqing, China
- Lei Xu 0034 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China
- Lei Xu 0035 — Jiangsu University of Technology, School of Electrical and Information Engineering, Institute of Bioinformatics and Medical Engineering, Changzhou, China (and 1 more)
- Lei Xu 0036 — Tampere University, Department of Computing Sciences, Tampere, Finland (and 1 more)
- Lei Xu 0037 — Capital Medical University, Beijing Anzhen Hospital, Department of Radiology, Beijing, China
- Lei Xu 0038 — University of Nebraska, Department of Computer Science and Engineering, Lincoln, NE, USA
- Lei Xu 0039 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Lei Xu 0040 — Massachusetts Institute of Technology (MIT), Laboratory for Information & Decision Systems (LIDS), Cambridge, MA, USA (and 1 more)
- Lei Xu 0041 — Zhejiang Zheda Mingquan Technology Co., Ltd., Hangzhou, China
- Lei Xu 0042 — Neijiang Normal University, China
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Journal Articles
- 2024
[j93]Tianxiang Qin, Shikui Tu, Lei Xu:
IA-NGM: A bidirectional learning method for neural graph matching with feature fusion. Mach. Learn. 113(4): 1743-1769 (2024)- 2023
- [j92]Hao Qian, Wenjing Huang, Shikui Tu, Lei Xu:
KGDiff: towards explainable target-aware molecule generation with knowledge guidance. Briefings Bioinform. 25(1) (2023) - [j91]Wenjing Huang, Shikui Tu, Lei Xu:
IA-FaceS: A bidirectional method for semantic face editing. Neural Networks 158: 272-292 (2023) - [j90]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): 100709 (2023) - [j89]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): 3314-3321 (2023) - 2022
- [j88]Peng Zhang, Shikui Tu, Wen Zhang, Lei Xu:
Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism. Briefings Bioinform. 23(6) (2022) - [j87]Peiying Li, Shikui Tu, Lei Xu:
Deep Rival Penalized Competitive Learning for low-resolution face recognition. Neural Networks 148: 183-193 (2022) - [j86]Wenjing Huang, Shikui Tu, Lei Xu:
Deep CNN Based Lmser and Strengths of Two Built-In Dualities. Neural Process. Lett. 54(5): 3565-3581 (2022) - 2021
- [j85]Sicong Zang, Shikui Tu, Lei Xu:
Controllable stroke-based sketch synthesis from a self-organized latent space. Neural Networks 137: 138-150 (2021) - [j84]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): 1242-1249 (2021) - 2020
- [j83]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): 38-57 (2020) - [j82]Lei Xu:
Learning deep IA bidirectional intelligence. Frontiers Inf. Technol. Electron. Eng. 21(4): 558-562 (2020) - 2019
- [j81]Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu:
Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram. IEEE Access 7: 153751-153760 (2019) - [j80]Lei Xu:
An overview and perspectives on bidirectional intelligence: Lmser duality, double IA harmony, and causal computation. IEEE CAA J. Autom. Sinica 6(4): 865-893 (2019) - 2017
- [j79]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): 341-358 (2017) - [j78]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: 40-46 (2017) - 2014
- [j77]Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu:
A comparative study of RPCL and MCE based discriminative training methods for LVCSR. Neurocomputing 134: 53-59 (2014) - [j76]Zhiyong Liu, Hong Qiao, Li-Hao Jia, Lei Xu:
A graph matching algorithm based on concavely regularized convex relaxation. Neurocomputing 134: 140-148 (2014) - [j75]Shikui Tu, Lei Xu:
Learning binary factor analysis with automatic model selection. Neurocomputing 134: 149-158 (2014) - [j74]Lei Shi, Zhiyong Liu, Shikui Tu, Lei Xu:
Learning local factor analysis versus mixture of factor analyzers with automatic model selection. Neurocomputing 139: 3-14 (2014) - 2012
- [j73]Shikui Tu, Runsheng Chen, Lei Xu:
Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm. J. Integr. Bioinform. 9(2) (2012) - [j72]Zhiyong Liu, Hong Qiao, Lei Xu:
An Extended Path Following Algorithm for Graph-Matching Problem. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1451-1456 (2012) - [j71]Shikui Tu, Lei Xu:
A theoretical investigation of several model selection criteria for dimensionality reduction. Pattern Recognit. Lett. 33(9): 1117-1126 (2012) - 2011
- [j70]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): 610-617 (2011) - 2010
- [j69]Yuxin Liu, Lei Xu, Donald E. Grierson:
Influence of Semi-Rigid Connections and Local Joint Damage on Progressive Collapse of Steel Frameworks. Comput. Aided Civ. Infrastructure Eng. 25(3): 184-204 (2010) - [j68]Lei Xu:
Machine learning problems from optimization perspective. J. Glob. Optim. 47(3): 369-401 (2010) - 2007
- [j67]Zhiyong Liu, Hong Qiao, Lei Xu:
Investigation on Multisets Mixture Learning Based Object Detection. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1339-1351 (2007) - [j66]Lei Xu:
One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics. Neural Comput. 19(2): 546-569 (2007) - [j65]Lei Xu:
A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving. Pattern Recognit. 40(8): 2129-2153 (2007) - [j64]Lei Xu:
Bayesian Ying Yang learning. Scholarpedia 2(3): 1809 (2007) - [j63]Lei Xu:
Rival penalized competitive learning. Scholarpedia 2(8): 1810 (2007) - 2006
- [j62]Yujia An, Xuelei Hu, Lei Xu:
A Comparative Investigation on Model Selection in Independent Factor Analysis. J. Math. Model. Algorithms 5(4): 447-473 (2006) - [j61]Zhiyong Liu, Hong Qiao, Lei Xu:
Multisets mixture learning-based ellipse detection. Pattern Recognit. 39(4): 731-735 (2006) - 2005
- [j60]Lei Xu, Yuxin Liu, Donald E. Grierson:
Nonlinear analysis of steel frameworks through direct modification of member stiffness properties. Adv. Eng. Softw. 36(5): 312-324 (2005) - [j59]Jinwen Ma, Lei Xu:
Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture. Neurocomputing 68: 105-129 (2005) - [j58]Jinwen Ma, Zhiyong Liu, Lei Xu:
A Further Result on the ICA One-Bit-Matching Conjecture. Neural Comput. 17(2): 331-334 (2005) - 2004
- [j57]Kai Chun Chiu, Lei Xu:
Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management. Decis. Support Syst. 37(4): 485-500 (2004) - [j56]Jinwen Ma, Taijun Wang, Lei Xu:
A gradient BYY harmony learning rule on Gaussian mixture with automated model selection. Neurocomputing 56: 481-487 (2004) - [j55]Zhiyong Liu, Kai Chun Chiu, Lei Xu:
One-Bit-Matching Conjecture for Independent Component Analysis. Neural Comput. 16(2): 383-399 (2004) - [j54]Xuelei Hu, Lei Xu:
A comparative investigation on subspace dimension determination. Neural Networks 17(8-9): 1051-1059 (2004) - [j53]Zhiyong Liu, Kai Chun Chiu, Lei Xu:
Investigations on non-Gaussian factor analysis. IEEE Signal Process. Lett. 11(7): 597-600 (2004) - [j52]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): 789-791 (2004) - [j51]Lei Xu:
Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination. IEEE Trans. Neural Networks 15(4): 885-902 (2004) - [j50]Lei Xu:
Temporal BYY encoding, Markovian state spaces, and space dimension determination. IEEE Trans. Neural Networks 15(5): 1276-1295 (2004) - 2003
- [j49]Yiu-ming Cheung, Lei Xu:
Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm. Neurocomputing 50: 87-103 (2003) - [j48]Lei Xu:
BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units. Neurocomputing 51: 277-301 (2003) - [j47]Lei Xu:
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 55(1-2): 405-406 (2003) - [j46]Zhiyong Liu, Lei Xu:
Topological local principal component analysis. Neurocomputing 55(3-4): 739-745 (2003) - [j45]Zhiyong Liu, Kai Chun Chiu, Lei Xu:
Improved system for object detection and star/galaxy classification via local subspace analysis. Neural Networks 16(3-4): 437-451 (2003) - [j44]Lei Xu:
Data smoothing regularization, multi-sets-learning, and problem solving strategies. Neural Networks 16(5-6): 817-825 (2003) - [j43]Zhiyong Liu, Kai Chun Chiu, Lei Xu:
Strip line detection and thinning by RPCL-based local PCA. Pattern Recognit. Lett. 24(14): 2335-2344 (2003) - [j42]Kei-Keung Hung, Yiu-ming Cheung, Lei Xu:
An extended ASLD trading system to enhance portfolio management. IEEE Trans. Neural Networks 14(2): 413-425 (2003) - [j41]Yiu-ming Cheung, Lei Xu:
Dual multivariate auto-regressive modeling in state space for temporal signal separation. IEEE Trans. Syst. Man Cybern. Part B 33(3): 386-398 (2003) - [j40]Yiu-ming Cheung, Lei Xu:
Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation". IEEE Trans. Syst. Man Cybern. Part B 33(5): 835 (2003) - 2002
- [j39]Chuangyin Dang, Lei Xu:
A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem. Neural Comput. 14(2): 303-324 (2002) - [j38]Lei Xu:
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models. Neural Networks 15(8-9): 1125-1151 (2002) - [j37]Lei Xu:
Errata to "BYY harmony learning, independent state space, and generalized apt financial analyses". IEEE Trans. Neural Networks 13(4): 1023 (2002) - 2001
- [j36]Lei Xu:
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. 11(1): 43-69 (2001) - [j35]Yiu-ming Cheung, Lei Xu:
Independent component ordering in ICA time series analysis. Neurocomputing 41(1-4): 145-152 (2001) - [j34]Jinwen Ma, Lei Xu, Michael I. Jordan:
Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures. Neural Comput. 12(12): 2881-2907 (2001) - [j33]Chuangyin Dang, Lei Xu:
A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem. Neural Networks 14(2): 217-230 (2001) - [j32]Lei Xu:
BYY harmony learning, independent state space, and generalized APT financial analyses. IEEE Trans. Neural Networks 12(4): 822-849 (2001) - [j31]Lei Xu, Irwin King:
A PCA approach for fast retrieval of structural patterns in attributed graphs. IEEE Trans. Syst. Man Cybern. Part B 31(5): 812-817 (2001) - 2000
- [j30]Yiu-ming Cheung, Lei Xu:
Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation. Int. J. Neural Syst. 10(6): 483-490 (2000) - [j29]Chi Chiu Cheung, Lei Xu:
Some global and local convergence analysis on the information-theoretic independent component analysis approach. Neurocomputing 30(1-4): 79-102 (2000) - [j28]Chuangyin Dang, Lei Xu:
A Barrier Function Method for the Nonconvex Quadratic Programming Problem with Box Constraints. J. Glob. Optim. 18(2): 165-188 (2000) - [j27]Lei Xu:
BYY learning system and theory for parameter estimation, data smoothing based regularization and model selection. Neural Parallel Sci. Comput. 8(1): 55-82 (2000) - [j26]Yiu-ming Cheung, Lei Xu:
An RPCL-based approach for Markov model identification with unknown state number. IEEE Signal Process. Lett. 7(10): 284-287 (2000) - [j25]Lei Xu:
Temporal BYY learning for state space approach, hidden Markov model, and blind source separation. IEEE Trans. Signal Process. 48(7): 2132-2144 (2000) - 1999
- [j24]Ke Chen, Lei Xu, Huisheng Chi:
Improved learning algorithms for mixture of experts in multiclass classification. Neural Networks 12(9): 1229-1252 (1999) - 1998
- [j23]Lei Xu:
RBF nets, mixture experts, and Bayesian Ying-Yang learning. Neurocomputing 19(1-3): 223-257 (1998) - [j22]Lei Xu, Chi Chiu Cheung, Shun-ichi Amari:
Learned parametric mixture based ICA algorithm. Neurocomputing 22(1-3): 69-80 (1998) - [j21]Lei Xu:
Bayesian Kullback Ying-Yang dependence reduction theory. Neurocomputing 22(1-3): 81-111 (1998) - 1997
- [j20]Yiu-ming Cheung, Wai-Man Leung, Lei Xu:
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment. Int. J. Neural Syst. 8(5-6): 517-534 (1997) - [j19]Lei Xu:
Comparative Analysis on Convergence Rates of The EM Algorithm and Its Two Modifications for Gaussian Mixtures. Neural Process. Lett. 6(3): 69-76 (1997) - [j18]Lei Xu:
Bayesian Ying-Yang machine, clustering and number of clusters. Pattern Recognit. Lett. 18(11-13): 1167-1178 (1997) - [j17]John Sum, Chi-Sing Leung, Lai-Wan Chan, Lei Xu:
Yet another algorithm which can generate topography map. IEEE Trans. Neural Networks 8(5): 1204-1207 (1997) - 1996
- [j16]Bailing Zhang, Lei Xu, Minyue Fu:
Learning Multiple Causes by Competition Enhanced least mean Square error Reconstruction. Int. J. Neural Syst. 7(3): 223-236 (1996) - [j15]Lei Xu, Michael I. Jordan:
On Convergence Properties of the EM Algorithm for Gaussian Mixtures. Neural Comput. 8(1): 129-151 (1996) - 1995
- [j14]Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja:
Probabilistic and non-probabilistic Hough transforms: overview and comparisons. Image Vis. Comput. 13(4): 239-252 (1995) - [j13]Alan L. Yuille, Stelios M. Smirnakis, Lei Xu:
Bayesian Self-Organization Driven by Prior Probability Distributions. Neural Comput. 7(3): 580-595 (1995) - [j12]Michael I. Jordan, Lei Xu:
Convergence results for the EM approach to mixtures of experts architectures. Neural Networks 8(9): 1409-1431 (1995) - [j11]Lei Xu, Alan L. Yuille:
Robust principal component analysis by self-organizing rules based on statistical physics approach. IEEE Trans. Neural Networks 6(1): 131-143 (1995) - 1994
- [j10]Lei Xu, Adam Krzyzak, Alan L. Yuille:
On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. Neural Networks 7(4): 609-628 (1994) - 1993
- [j9]Lei Xu:
Least mean square error reconstruction principle for self-organizing neural-nets. Neural Networks 6(5): 627-648 (1993) - [j8]Lei Xu, Adam Krzyzak, Erkki Oja:
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. IEEE Trans. Neural Networks 4(4): 636-649 (1993) - 1992
- [j7]Lei Xu, Stan Klasa, Alan L. Yuille:
Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. Int. J. Neural Syst. 3(3): 253-290 (1992) - [j6]Lei Xu, Erkki Oja, Ching Y. Suen:
Modified Hebbian learning for curve and surface fitting. Neural Networks 5(3): 441-457 (1992) - [j5]Lei Xu, Adam Krzyzak, Ching Y. Suen:
Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Syst. Man Cybern. 22(3): 418-435 (1992) - 1991
- [j4]Lei Xu, Adam Krzyzak, Erkki Oja:
Neural Nets for Dual Subspace Pattern Recognition Method. Int. J. Neural Syst. 2(3): 169-184 (1991) - 1990
- [j3]Lei Xu:
Adding Learned Expectation Into the Learning Procedure of Self-Organizing Maps. Int. J. Neural Syst. 1(3): 269-283 (1990) - [j2]Lei Xu, Erkki Oja, Pekka Kultanen:
A new curve detection method: Randomized Hough transform (RHT). Pattern Recognit. Lett. 11(5): 331-338 (1990) - 1988
- [j1]Lei Xu:
Structuring causal tree models with continuous variables. Int. J. Approx. Reason. 2(3): 346 (1988)
Conference and Workshop Papers
- 2024
- [c145]Zhousan Xie, Shikui Tu, Lei Xu:
Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. AAAI 2024: 329-337 - 2023
- [c144]Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu:
Self-Supervised Bidirectional Learning for Graph Matching. AAAI 2023: 7784-7792 - [c143]Sicong Zang, Shikui Tu, Lei Xu:
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. AAAI 2023: 11096-11103 - [c142]Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu:
PEST: A General-Purpose Protein Embedding Model for Homology Search. BIBM 2023: 124-127 - [c141]Lin Zhang, Yun Ren, Fang Yuan, Yangxin Zhu, Shikui Tu, Yucai Chen, Lei Xu:
A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis. BIBM 2023: 1718-1723 - [c140]Yangxin Zhu, Shikui Tu, Lin Zhang, Lei Xu:
Multi-source unsupervised domain-adaptation for automatic sleep staging. BIBM 2023: 2437-2440 - [c139]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: 1-2 - [c138]Yao Zhou, Ruidan Su, Shikui Tu, Lei Xu:
A Deep Temporal Factor Analysis Method for Large Scale Financial Portfolio Selection. ICASSP 2023: 1-5 - [c137]Tianpeng Wei, Biyang Zeng, Wenqi Guo, Zhenyu Guo, Shikui Tu, Lei Xu:
A Dynamic Graph Convolutional Network for Anti-money Laundering. ICIC (5) 2023: 493-502 - [c136]Mingfei Li, Shikui Tu, Lei Xu:
Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics. ICONIP (1) 2023: 528-539 - [c135]Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu:
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. IJCAI 2023: 4821-4828 - [c134]Dengwei Zhao, Shikui Tu, Lei Xu:
Generalized Weighted Path Consistency for Mastering Atari Games. NeurIPS 2023 - 2022
- [c133]Peiying Li, Boheng Cao, Shikui Tu, Lei Xu:
RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. BIBM 2022: 334-339 - [c132]Qin Ma, Lin Zeng, Shikui Tu, Lei Xu:
Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. BIBM 2022: 509-514 - [c131]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: 1369-1374 - [c130]Lin Zhang, Yangxin Zhu, Shikui Tu, Lei Xu:
A Feature Polymerized Based Two-Level Ensemble Model for Respiratory Sound Classification. BioCAS 2022: 238-242 - [c129]Xiangzhe Guo, Shikui Tu, Lei Xu:
Learning to Generate Textual Adversarial Examples. ICANN (1) 2022: 195-206 - [c128]Dengwei Zhao, Shikui Tu, Lei Xu:
Efficient Learning for AlphaZero via Path Consistency. ICML 2022: 26971-26981 - [c127]Xiangzhe Guo, Ruidan Su, Shikui Tu, Lei Xu:
Searching for Textual Adversarial Examples with Learned Strategy. ICONIP (4) 2022: 385-396 - [c126]Haoran Ma, Shikui Tu, Lei Xu:
IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. ICONIP (1) 2022: 525-536 - [c125]Wenjing Huang, Shikui Tu, Lei Xu:
Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing. ACM Multimedia 2022: 6061-6071 - 2021
- [c124]Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu:
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. AAAI 2021: 643-650 - [c123]Kaixuan Zhao, Shikui Tu, Lei Xu:
IA-GM: A Deep Bidirectional Learning Method for Graph Matching. AAAI 2021: 3474-3482 - [c122]Boheng Cao, Shikui Tu, Lei Xu:
Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation. BIBM 2021: 829-835 - [c121]Fucheng Deng, Shikui Tu, Lei Xu:
Multi-source unsupervised domain adaptation for ECG classification. BIBM 2021: 854-859 - [c120]Rui Ma, Shikui Tu, Peiying Li, Jiafeng Zhou, Bing Zhao, Jieqing Wan, Lei Xu:
Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation. BIBM 2021: 1026-1031 - [c119]Haodong Nie, Shikui Tu, Lei Xu:
RecSleepNet: An Automatic Sleep Staging Model Based on Feature Reconstruction. BIBM 2021: 1458-1461 - [c118]Qingjie Sheng, Shikui Tu, Lei Xu:
A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis. PRICAI (1) 2021: 127-138 - 2020
- [c117]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: 4403-4409 - 2019
- [c116]Jin-Xiong Lv, Shikui Tu, Lei Xu:
A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer. BIBM 2019: 840-845 - [c115]Lei Xu:
Deep IA-BI and Five Actions in Circling. IScIDE (1) 2019: 1-21 - [c114]Minchao Li, Shikui Tu, Lei Xu:
Computational Decomposition of Style for Controllable and Enhanced Style Transfer. IScIDE (2) 2019: 15-39 - [c113]Wenjing Huang, Shikui Tu, Lei Xu:
Revisit Lmser from a Deep Learning Perspective. IScIDE (2) 2019: 197-208 - [c112]Zhiwen Qiang, Shikui Tu, Lei Xu:
A k-Dense-UNet for Biomedical Image Segmentation. IScIDE (1) 2019: 552-562 - [c111]Peiying Li, Shikui Tu, Lei Xu:
GAN Flexible Lmser for Super-resolution. ACM Multimedia 2019: 756-764 - 2018
- [c110]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: 663-671 - 2017
- [c109]Weijian Long, Shikui Tu, Lei Xu:
A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. IDEAL 2017: 489-499 - [c108]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: 619-630 - [c107]Yajing Chen, Shikui Tu, Lei Xu:
The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma. IScIDE 2017: 631-640 - [c106]Yajing Chen, Shikui Tu, Lei Xu:
Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes. IScIDE 2017: 641-649 - 2016
- [c105]Jin-Xiong Lv, Han-Chen Huang, Runsheng Chen, Lei Xu:
A comparison study on multivariate methods for joint-SNVs association analysis. BIBM 2016: 1771-1776 - 2015
- [c104]Kai-Ming Jiang, Bao-Liang Lu, Lei Xu:
Bootstrapped Integrative Hypothesis Test, COPD-Lung Cancer Differentiation, and Joint miRNAs Biomarkers. IScIDE (2) 2015: 538-547 - 2013
- [c103]Lei Xu:
Integrative Hypothesis Test and A5 Formulation: Sample Pairing Delta, Case Control Study, and Boundary Based Statistics. IScIDE 2013: 887-902 - 2012
- [c102]Shikui Tu, Dingsheng Luo, Runsheng Chen, Lei Xu:
A non-Gaussian factor analysis approach to transcription Network Component Analysis. CIBCB 2012: 404-411 - [c101]Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu:
Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning. IScIDE 2012: 719-726 - [c100]Lei Xu:
Matrix-Variate Discriminative Analysis, Integrative Hypothesis Testing, and Geno-Pheno A5 Analyzer. IScIDE 2012: 866-875 - 2011
- [c99]Zhiyong Liu, Hong Qiao, Lei Xu:
A Weight Regularized Relaxation Based Graph Matching Algorithm. IScIDE 2011: 9-16 - [c98]Zaihu Pang, Xihong Wu, Lei Xu:
A Comparative Study of RPCL and MCE Based Discriminative Training Methods for LVCSR. IScIDE 2011: 27-34 - 2010
- [c97]Shikui Tu, Lei Xu, Runsheng Chen:
A binary matrix factorization algorithm for protein complex prediction. BIBM Workshops 2010: 113-118 - [c96]Lei Shi, Shikui Tu, Lei Xu:
Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning. BIBM 2010: 696-699 - [c95]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: 1878-1881 - [c94]Shikui Tu, Lei Xu:
A study of several model selection criteria for determining the number of signals. ICASSP 2010: 1966-1969 - [c93]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: 4890-4893 - 2009
- [c92]Shikui Tu, Lei Xu:
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction. ICA 2009: 154-162 - [c91]Ke Sun, Shikui Tu, David Yang Gao, Lei Xu:
Canonical Dual Approach to Binary Factor Analysis. ICA 2009: 346-353 - 2008
- [c90]Ke Sun, Lei Xu:
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis. ICANN (1) 2008: 255-264 - [c89]Shikui Tu, Lei Shi, Lei Xu:
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. ICANN (1) 2008: 265-274 - [c88]Lei Xu:
Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family. WCCI 2008: 48-78 - 2006
- [c87]Lei Shi, Lei Xu:
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network. ICANN (1) 2006: 51-60 - [c86]Lei Shi, Lei Xu:
Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application. ICANN (2) 2006: 260-269 - [c85]Xuelei Hu, Lei Xu:
A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models. ISNN (1) 2006: 1214-1221 - 2005
- [c84]Lei Xu:
A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination. GrC 2005: 70-77 - [c83]Lei Xu:
One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization. ISNN (1) 2005: 5-20 - 2004
- [c82]Jinwen Ma, Zhiyong Liu, Lei Xu:
Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition. IDEAL 2004: 684-689 - [c81]Xuelei Hu, Lei Xu:
Automatic Cluster Number Determination via BYY Harmony Learning. ISNN (1) 2004: 828-833 - 2003
- [c80]Kai Chun Chiu, Lei Xu:
On generalized arbitrage pricing theory analysis: empirical investigation of the macroeconomics modulated independent state-space model. CIFEr 2003: 139-144 - [c79]Zhiyong Liu, Kai Chun Chiu, Lei Xu:
Local PCA for Strip Line Detection and Thinning. EMMCVPR 2003: 21-34 - [c78]Xuelei Hu, Lei Xu:
A Comparative Study of Several Cluster Number Selection Criteria. IDEAL 2003: 195-202 - [c77]Bonnie Kit Yee Chan, Wilson Wei Sheng Chu, Lei Xu:
Empirical Comparison between Two Computational Strategies for Topological Self-Organization. IDEAL 2003: 410-414 - [c76]Jeong-Yon Shim, Lei Xu:
Medical data mining model for oriental medicine via BYY Binary Independent Factor Analysis. ISCAS (5) 2003: 717-720 - [c75]Kai Chun Chiu, Lei Xu:
Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns. MLDM 2003: 266-275 - 2002
- [c74]Kai Chun Chiu, Lei Xu:
Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management. ICANN 2002: 1019-1024 - [c73]Zhiyong Liu, Lei Xu:
On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model. ICANN 2002: 1025-1030 - [c72]Lei Xu:
Mining Dependence Structures from Statistical Learning Perspective. IDEAL 2002: 285-306 - [c71]Kai Chun Chiu, Lei Xu:
Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning. IDEAL 2002: 366-371 - [c70]Zhiyong Liu, Lei Xu:
A Comparative Study on Three MAP Factor Estimate Approaches for NFA. IDEAL 2002: 372-377 - [c69]Kai Chun Chiu, Lei Xu:
White Noise Tests and APT Economic Factor Syntheses Using Temporal Factor Analysis. JCIS 2002: 1111-1114 - 2001
- [c68]Zhiyong Liu, Lei Xu:
RPCL-Based Local PCA Algorithm. ICDM 2001: 621-622 - [c67]Lei Xu, Yihe Sun, Hongyi Chen:
Scan array solution for testing power and testing time. ITC 2001: 652-659 - [c66]Lei Xu:
An Overview on Unsupervised Learning from Data Mining Perspective. WSOM 2001: 181-209 - 2000
- [c65]Kei-Keung Hung, Chi Chiu Cheung, Lei Xu:
New Sharpe-ratio-related methods for portfolio selection. CIFEr 2000: 34-37 - [c64]Lei Xu:
Best Harmony Learning. IDEAL 2000: 116-125 - [c63]Yiu-ming Cheung, Lei Xu:
A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States. IJCNN (4) 2000: 3-8 - [c62]Fung Yip, Lei Xu:
An Application of Independent Component Analysis in the Arbitrage Pricing Theory. IJCNN (5) 2000: 279-284 - [c61]Xiaohui Yu, Lei Xu:
Adaptive Improved Portfolio Sharpe Ratio Maximization with Diversification. IJCNN (4) 2000: 472-478 - 1999
- [c60]Lei Xu:
Bayesian ying-yang supervised learning, modular models, and three layer nets. IJCNN 1999: 540-545 - [c59]Lei Xu:
BYY data smoothing based learning on a small size of samples. IJCNN 1999: 546-551 - [c58]Lei Xu:
Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulation. IJCNN 1999: 552-557 - [c57]Lei Xu:
Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensor-motor integration. IJCNN 1999: 949-954 - [c56]Yiu-Ming Cheung, Lei Xu:
An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separation. IJCNN 1999: 955-960 - [c55]Yiu-Ming Cheung, Lei Xu:
Autoregressive signal separation approach with seesaw-mapping technique on temporal source separation. IJCNN 1999: 961-964 - [c54]Ping Guo, Lei Xu:
On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique. IJCNN 1999: 965-968 - [c53]Lei Xu:
Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components. IJCNN 1999: 1071-1076 - [c52]Lei Xu:
Data mining, unsupervised learning and Bayesian ying-yang theory. IJCNN 1999: 2520-2525 - [c51]Kei-Keung Hung, Lei Xu:
Further improvement of adaptive supervised learning decision (ASLD) network in stock market. IJCNN 1999: 3860-3865 - [c50]Yiu-Ming Cheung, Lei Xu:
An empirical method to select dominant independent components in ICA for time series analysis. IJCNN 1999: 3883-3887 - [c49]Kei-Keung Hung, Lei Xu:
Further study of adaptive supervised learning decision (ASLD) network in stock market. NSIP 1999: 721-725 - [c48]Ping Guo, Chi Chiu Cheung, Lei Xu:
Region number determination in automatic image segmentation based on BKYY model selection criterion. NSIP 1999: 743-746 - [c47]Yiu-ming Cheung, Lei Xu:
The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis. NSIP 1999: 793-797 - 1998
- [c46]Lei Xu, Wai-Man Leung:
Cointegration by MCA and modular MCA. CIFEr 1998: 157-160 - [c45]Lei Xu:
Adaptive RBF net algorithms for nonlinear signal learning with applications to financial prediction and investment. ICASSP 1998: 1153-1156 - [c44]Wing-Kai Lam, Lei Xu:
An experimental comparison of the Bayesian Ying-Yang criteria and cross validation for selection on number of hidden units in feedforward networks. ICASSP 1998: 1189-1192 - [c43]Lei Xu:
The Role of Statistical Theory in the Future Research on Brain-like Systems. ICONIP 1998: 9-10 - [c42]Wing-Kai Lam, Lei Xu:
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 1998: 71-74 - [c41]Jinwen Ma, Lei Xu:
The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm. ICONIP 1998: 239-242 - [c40]Lei Xu:
Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach (VII): Data Smoothing. ICONIP 1998: 243-248 - [c39]Lei Xu:
BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number. ICONIP 1998: 631-634 - [c38]Lei Xu:
Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control. ICONIP 1998: 877-884 - [c37]Yiu-ming Cheung, Lei Xu:
Rival Penalized Competitive Learning Based Separator on Binary Sources Separation. ICONIP 1998: 903-906 - [c36]Ho Yin Kwok, Chi-Ming Chen, Lei Xu:
Comparison between Mixture of ARMA and Mixture of AR Model with Application to Time Series Forecasting. ICONIP 1998: 1049-1052 - [c35]Wai Ching Wong, Fung Yip, Lei Xu:
Financial Prediction by Finite Mixture GARCH Model. ICONIP 1998: 1351-1354 - [c34]F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu:
Intra-block algorithm for digital watermarking. ICPR 1998: 1589-1591 - [c33]Wing-Kai Lam, Ning Ouyang, Lei Xu:
Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification. ICPR 1998: 1686-1688 - [c32]F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu:
Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images. Multimedia Information Analysis and Retrieval 1998: 255-264 - 1997
- [c31]Lei Xu, Yiu-ming Cheung:
Adaptive supervised learning decision networks for traders and portfolios. CIFEr 1997: 206-212 - [c30]Lei Xu, Chi Chiu Cheung, Jiong Ruan, Shun-ichi Amari:
Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densities. ESANN 1997 - [c29]Yiu-Ming Cheung, Lei Xu:
Some further studies on detection the number of clusters. ICNN 1997: 1479-1483 - [c28]Wing-Kai Lam, Fai Yung, Lei Xu:
An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts. ICNN 1997: 1574-1579 - [c27]Lei Xu, Chi Chiu Cheung, Howard Hua Yang, Shun-ichi Amari:
Independent component analysis by the information-theoretic approach with mixture of densities. ICNN 1997: 1821-1826 - [c26]Lei Xu:
New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals. ICNN 1997: 1942-1947 - [c25]Chi Chiu Cheung, Lei Xu:
Separation of two independent sources by the information-theoretic approach with cubic nonlinearity. ICNN 1997: 2239-2244 - 1996
- [c24]Yiu-ming Cheung, Helen Z. H. Lai, Lei Xu:
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor with application to financial investment. CIFEr 1996: 141-147 - [c23]Helen Z. H. Lai, Yiu-ming Cheung, Lei Xu:
Trading mechanisms and return volatility: empirical investigation on Shanghai Stock Exchange based on a neural network model. CIFEr 1996: 259-263 - [c22]Yiu-ming Cheung, Helen Z. H. Lai, Lei Xu:
Application of adaptive RPCL-CLP with trading system to foreign exchange investment. ICNN 1996: 131-136 - [c21]Kazushi Ikeda, Lei Xu:
The probability distribution of parameters learned with the EM algorithm. ICNN 1996: 306-310 - [c20]Lei Xu:
How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition. ICNN 1996: 1546-1551 - [c19]Yiu-ming Cheung, Helen Z. H. Lai, Lei Xu:
Application of adaptive RPCL-CLP with trading system to foreign exchange investment. ICNN 1996: 2033-2038 - 1995
- [c18]Yiu-ming Cheung, Wai-Man Leung, Lei Xu:
A RPCL-CLP architecture for financial time series forecasting. ICNN 1995: 829-832 - [c17]Adam Krzyzak, Stan Klasa, Lei Xu:
On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification. ICNN 1995: 2243-2246 - [c16]Bailing Zhang, Qin Zhou, Irwin King, Lei Xu:
Least Mean Square Error Reconstruction Learning in Recurrent Network. ICNN 1995: 3009-3014 - [c15]Lei Xu:
A Unified Learning Scheme: Bayesian-Kullback Ying-Yang Machines. NIPS 1995: 444-450 - 1994
- [c14]Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja:
Comparisons of Probabilistic and Non-probabilistic Hough Transforms. ECCV (2) 1994: 351-360 - [c13]Adam Krzyzak, Stan Klasa, Lei Xu:
On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification. ICPR (2) 1994: 364-366 - [c12]Lei Xu, Michael I. Jordan, Geoffrey E. Hinton:
An Alternative Model for Mixtures of Experts. NIPS 1994: 633-640 - 1993
- [c11]Alan L. Yuille, Stelios M. Smirnakis, Lei Xu:
Bayesian Self-Organization. NIPS 1993: 1001-1008 - 1992
- [c10]Lei Xu, Erkki Oja:
Further developments on RHT: basic mechanisms, algorithms, and computational complexities. ICPR (1) 1992: 125-128 - [c9]Lei Xu, Adam Krzyzak, Erkki Oja:
Unsupervised and supervised classifications by rival penalized competitive learning. ICPR (2) 1992: 496-499 - [c8]Heikki Kälviäinen, Erkki Oja, Lei Xu:
Randomized Hough transform applied to translational and rotational motion analysis. ICPR (1) 1992: 672-675 - [c7]Lei Xu, Alan L. Yuille:
Self-Organizing Rules for Robust Principal Component Analysis. NIPS 1992: 467-474 - 1990
- [c6]Lei Xu, Erkki Oja:
Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching. EURASIP Workshop 1990: 151-160 - [c5]Pekka Kultanen, Lei Xu, Erkki Oja:
Randomized Hough transform (RHT). ICPR (1) 1990: 631-635 - [c4]Pekka Kultanen, Erkki Oja, Lei Xu:
Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. MVA 1990: 173-176 - 1988
- [c3]Lei Xu:
A method for recognizing configurations consisting of line sets and its application to discrimination of seismic face structures. ICPR 1988: 610-612 - 1987
- [c2]Lei Xu, Pingfan Yan, Tong Chang:
Almost unique specification of discrete finite length signal: From its end point and Fourier transform magnitude. ICASSP 1987: 2097-2100 - [c1]Lei Xu, Judea Pearl:
Structuring Causal Tree Models with Continuous Variables. UAI 1987: 209-222
Parts in Books or Collections
- 2015
- [p4]James Tin-Yau Kwok, Zhi-Hua Zhou, Lei Xu:
Machine Learning. Handbook of Computational Intelligence 2015: 495-522 - 2008
- [p3]Qing Shi Gao, Xiao Yu Gao, Lei Xu:
A Probability Theory Perspective on the Zadeh Fuzzy System. Data Mining: Foundations and Practice 2008: 125-137 - 2007
- [p2]Lei Xu:
A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective. Challenges for Computational Intelligence 2007: 365-406 - 2005
- [p1]Yujia An, Xuelei Hu, Lei Xu:
A Comparative Investigation on Model Selection in Binary Factor Analysis. Foundations of Data Mining and knowledge Discovery 2005: 143-160
Editorship
- 2003
- [e1]Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu:
Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings. Lecture Notes in Computer Science 2714, Springer 2003, ISBN 3-540-40408-2 [contents]
Reference Works
- 2009
- [r3]Lei Xu, Shun-ichi Amari:
Combining Classifiers and Learning Mixture-of-Experts. Encyclopedia of Artificial Intelligence 2009: 318-326 - [r2]Lei Xu:
Independent Subspaces. Encyclopedia of Artificial Intelligence 2009: 892-901 - [r1]Lei Xu, Erkki Oja:
Randomized Hough Transform. Encyclopedia of Artificial Intelligence 2009: 1343-1350
Informal and Other Publications
- 2023
- [i9]Wenjing Huang, Shikui Tu, Lei Xu:
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing. CoRR abs/2306.16894 (2023) - 2022
- [i8]Wenjing Huang, Shikui Tu, Lei Xu:
IA-FaceS: A Bidirectional Method for Semantic Face Editing. CoRR abs/2203.13097 (2022) - [i7]Sicong Zang, Shikui Tu, Lei Xu:
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. CoRR abs/2211.16841 (2022) - 2021
- [i6]Peiying Li, Shikui Tu, Lei Xu:
Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition. CoRR abs/2108.01286 (2021) - 2020
- [i5]Zhihao Xing, Shikui Tu, Lei Xu:
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. CoRR abs/2005.06879 (2020) - 2019
- [i4]Wenjing Huang, Shikui Tu, Lei Xu:
Revisit Lmser and its further development based on convolutional layers. CoRR abs/1904.06307 (2019) - 2018
- [i3]Minchao Li, Shikui Tu, Lei Xu:
Computational Decomposition of Style for Controllable and Enhanced Style Transfer. CoRR abs/1811.08668 (2018) - 2017
- [i2]Yajing Chen, Shikui Tu, Yuqi Yi, Lei Xu:
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories. CoRR abs/1709.04121 (2017) - 2013
- [i1]Lei Xu, Judea Pearl:
Structuring Causal Tree Models with Continuous Variables. CoRR abs/1304.2730 (2013)
Coauthor Index
Yiu-Ming Cheung
aka: Yiu-ming Cheung
aka: Yiu-ming Cheung
[j93] [j92] [j91] [j90] [j89] [j88] [j87] [j86] [j85] [j84] [j83] [j81] [j77] [j75] [j74] [j73] [j71] [c145] [c144] [c143] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [c116] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c102] [c101] [c97] [c96] [c94] [c92] [c91] [c89] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2]
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