Wei Bian

According to our database1, Wei Bian authored at least 58 papers between 2007 and 2019.

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Bibliography

2019
Progressive Learning for Person Re-Identification With One Example.
IEEE Trans. Image Processing, 2019

Adapting Stochastic Block Models to Power-Law Degree Distributions.
IEEE Trans. Cybernetics, 2019

2018
Neural network for nonsmooth pseudoconvex optimization with general convex constraints.
Neural Networks, 2018

Multilevel Residual Learning for Single Image Super Resolution.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Optimality and Complexity for Constrained Optimization Problems with Nonconvex Regularization.
Math. Oper. Res., 2017

Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Fast Sampling for Time-Varying Determinantal Point Processes.
TKDD, 2016

Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification.
IEEE Trans. Image Processing, 2016

Diversified hidden Markov models for sequential labeling.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Conditional Graphical Lasso for Multi-label Image Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Scalable Completion of Nonnegative Matrix with Separable Structure.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Random Mixed Field Model for Mixed-Attribute Data Restoration.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Dictionary Pair Learning on Grassmann Manifolds for Image Denoising.
IEEE Trans. Image Processing, 2015

Linearly Constrained Non-Lipschitz Optimization for Image Restoration.
SIAM J. Imaging Sciences, 2015

Complexity analysis of interior point algorithms for non-Lipschitz and nonconvex minimization.
Math. Program., 2015

MMFE: Multitask Multiview Feature Embedding.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

R2FP: Rich and Robust Feature Pooling for Mining Visual Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction.
IEEE Trans. Neural Netw. Learning Syst., 2014

Neural Network for Nonsmooth, Nonconvex Constrained Minimization Via Smooth Approximation.
IEEE Trans. Neural Netw. Learning Syst., 2014

Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

2013
Grassmannian Regularized Structured Multi-View Embedding for Image Classification.
IEEE Trans. Image Processing, 2013

Neural Network for Solving Constrained Convex Optimization Problems With Global Attractivity.
IEEE Trans. on Circuits and Systems, 2013

Worst-Case Complexity of Smoothing Quadratic Regularization Methods for Non-Lipschitzian Optimization.
SIAM Journal on Optimization, 2013

Locally regularized sliced inverse regression based 3D hand gesture recognition on a dance robot.
Inf. Sci., 2013

Intelligent processing techniques for semantic-based image and video retrieval.
Neurocomputing, 2013

A new one-layer recurrent neural network for nonsmooth pseudoconvex optimization.
Neurocomputing, 2013

Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Cross-Domain Human Action Recognition.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes.
IEEE Trans. Neural Netw. Learning Syst., 2012

Constrained Empirical Risk Minimization Framework for Distance Metric Learning.
IEEE Trans. Neural Netw. Learning Syst., 2012

Smoothing Neural Network for Constrained Non-Lipschitz Optimization With Applications.
IEEE Trans. Neural Netw. Learning Syst., 2012

Feature fusion for 3D hand gesture recognition by learning a shared hidden space.
Pattern Recognition Letters, 2012

CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Graph based transductive learning for cartoon correspondence construction.
Neurocomputing, 2012

Query difficulty estimation for image retrieval.
Neurocomputing, 2012

Segment-Based Features for Time Series Classification.
Comput. J., 2012

2011
3D human posture segmentation by spectral clustering with surface normal constraint.
Signal Processing, 2011

Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Music Tagging with Regularized Logistic Regression.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Learning a Distance Metric by Empirical Loss Minimization.
Proceedings of the IJCAI 2011, 2011

Feature Relationships Hypergraph for Multimodal Recognition.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Integrating Local Features into Discriminative Graphlets for Scene Classification.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Learning Colours from Textures by Sparse Manifold Embedding.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Face Subspace Learning.
Proceedings of the Handbook of Face Recognition, 2nd Edition., 2011

2010
Biased Discriminant Euclidean Embedding for Content-Based Image Retrieval.
IEEE Trans. Image Processing, 2010

Feature Extraction for fMRI-Based Human Brain Activity Recognition.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

2009
Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems.
IEEE Trans. Neural Networks, 2009

Sub-threshold behavior of long channel undoped cylindrical surrounding-gate MOSFETs.
Microelectronics Reliability, 2009

A project neural network for solving degenerate quadratic minimax problem with linear constraints.
Neurocomputing, 2009

Manifold Regularization for SIR with Rate Root-n Convergence.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Biased isomap projections for interactive reranking.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Dirichlet Mixture Allocation for Multiclass Document Collections Modeling.
Proceedings of the ICDM 2009, 2009

2008
Subgradient-Based Neural Networks for Nonsmooth Convex Optimization Problems.
IEEE Trans. on Circuits and Systems, 2008

Generic Carrier-Based Core Model for Four-Terminal Double-Gate MOSFET Valid for Symmetric, Asymmetric, SOI, and Independent Gate Operation Modes.
Proceedings of the 9th International Symposium on Quality of Electronic Design (ISQED 2008), 2008

Harmonic mean for subspace selection.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
A project neural network for solving degenerate convex quadratic program.
Neurocomputing, 2007

Tests on Symmetry and Continuity between BSIM4 and BSIM5.
Proceedings of the 8th International Symposium on Quality of Electronic Design (ISQED 2007), 2007


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