Wei Bian

Affiliations:
  • University of Technology Sydney, Center for Artificial Intelligence, China (PhD 2012)
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong


According to our database1, Wei Bian authored at least 42 papers between 2008 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Normal Transformer: Extracting Surface Geometry From LiDAR Points Enhanced by Visual Semantics.
IEEE Trans. Intell. Veh., October, 2024

2020
Repulsive Mixture Models of Exponential Family PCA for Clustering.
CoRR, 2020

Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach.
CoRR, 2020

Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

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
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.
ACM Trans. Knowl. Discov. Data, 2016

Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification.
IEEE Trans. Image Process., 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 Process., 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 Networks Learn. 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 Process., 2013

Locally regularized sliced inverse regression based 3D hand gesture recognition on a dance robot.
Inf. Sci., 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. Syst. Man Cybern. Part B, 2012

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

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

Feature fusion for 3D hand gesture recognition by learning a shared hidden space.
Pattern Recognit. Lett., 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

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

2011
3D human posture segmentation by spectral clustering with surface normal constraint.
Signal Process., 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 Process., 2010

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

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


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