Zhouchen Lin
Orcid: 0000-0003-1493-7569Affiliations:
- Peking University, Department of Machine Intelligence, Beijing, China (PhD 2000)
- Microsoft Research Asia, Beijing, China (former)
According to our database1,
Zhouchen Lin
authored at least 327 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2018, "For contributions to low-rank data modeling and image processing".
Timeline
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Online presence:
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024
Designing Universally-Approximating Deep Neural Networks: A First-Order Optimization Approach.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Neural Networks, 2024
Neural Networks, 2024
CoRR, 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective.
CoRR, 2024
On the O(×d/T<sup>1/4</sup>) Convergence Rate of RMSProp and Its Momentum Extension Measured by 𝓁<sub>l</sub> Norm: Better Dependence on the Dimension.
CoRR, 2024
Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation.
Biomed. Signal Process. Control., 2024
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Sci. China Inf. Sci., November, 2023
Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Neural Networks, April, 2023
Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
IEEE Trans. Image Process., 2023
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity.
J. Mach. Learn. Res., 2023
Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure.
CoRR, 2023
CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity.
CoRR, 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants.
CoRR, 2023
Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy.
Proceedings of the Asian Conference on Machine Learning, 2023
2022
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Neural Networks, 2022
J. Mach. Learn. Res., 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization.
J. Mach. Learn. Res., 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
G<sup>2</sup>CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε<sup>-7/4</sup>) Complexity.
Proceedings of the International Conference on Machine Learning, 2022
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap.
Proceedings of the Tenth International Conference on Learning Representations, 2022
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Springer, ISBN: 978-981-16-9839-2, 2022
2021
IEEE Trans. Image Process., 2021
Pattern Recognit., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Recurrent learning with clique structures for prostate sparse-view CT artifacts reduction.
IET Image Process., 2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness.
CoRR, 2021
CoRR, 2021
PDO-eS<sup>2</sup>CNNs: Partial Differential Operator Based Equivariant Spherical CNNs.
CoRR, 2021
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization.
CoRR, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Signal Process., 2020
IEEE Trans. Image Process., 2020
Proc. IEEE, 2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Mach. Learn., 2020
On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent.
J. Mach. Learn. Res., 2020
Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision.
CoRR, 2020
Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization.
CoRR, 2020
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Springer, ISBN: 978-981-15-2909-2, 2020
2019
ℓ<sub>1</sub>-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2019
The Augmented Homogeneous Coordinates Matrix-Based Projective Mismatch Removal for Partial-Duplicate Image Search.
IEEE Trans. Image Process., 2019
IEEE Trans. Image Process., 2019
IEEE Trans. Circuits Syst. Video Technol., 2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition.
Neural Networks, 2019
Accelerated Alternating Direction Method of Multipliers: An Optimal O(1 / K) Nonergodic Analysis.
J. Sci. Comput., 2019
Finite Fields Their Appl., 2019
CoRR, 2019
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors.
CoRR, 2019
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Image Process., 2018
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding.
IEEE Trans. Image Process., 2018
IEEE Trans. Image Process., 2018
Optimized projections for compressed sensing via direct mutual coherence minimization.
Signal Process., 2018
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
IEEE J. Sel. Top. Signal Process., 2018
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications.
IEEE J. Sel. Top. Signal Process., 2018
J. Electronic Imaging, 2018
Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of The 10th Asian Conference on Machine Learning, 2018
Proceedings of The 10th Asian Conference on Machine Learning, 2018
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Image Process., 2017
IEEE Trans. Image Process., 2017
The Shape Interaction Matrix-Based Affine Invariant Mismatch Removal for Partial-Duplicate Image Search.
IEEE Trans. Image Process., 2017
IEEE Trans. Image Process., 2017
IEEE Trans. Image Process., 2017
Feature learning via partial differential equation with applications to face recognition.
Pattern Recognit., 2017
Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition.
Neurocomputing, 2017
Comput. Vis. Image Underst., 2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation.
Proceedings of the 2017 Data Compression Conference, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Completing Low-Rank Matrices With Corrupted Samples From Few Coefficients in General Basis.
IEEE Trans. Inf. Theory, 2016
IEEE Trans. Image Process., 2016
IEEE Trans. Image Process., 2016
IEEE Trans. Image Process., 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Fast Multidimensional Ellipsoid-Specific Fitting by Alternating Direction Method of Multipliers.
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Locality-preserving low-rank representation for graph construction from nonlinear manifolds.
Neurocomputing, 2016
A fast alternating time-splitting approach for learning partial differential equations.
Neurocomputing, 2016
CoRR, 2016
Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015
IEEE Trans. Image Process., 2015
IEEE Trans. Image Process., 2015
Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification.
IEEE Trans. Image Process., 2015
Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization.
IEEE Trans. Image Process., 2015
Pattern Recognit., 2015
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning.
Mach. Learn., 2015
A robust hybrid method for text detection in natural scenes by learning-based partial differential equations.
Neurocomputing, 2015
CoRR, 2015
Proceedings of the 2015 Visual Communications and Image Processing, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015
Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Image Process., 2014
Neural Networks, 2014
Linear time Principal Component Pursuit and its extensions using ℓ<sub>1</sub> filtering.
Neurocomputing, 2014
CoRR, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Pattern Recognit. Lett., 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Image Vis. Comput., 2013
Neurocomputing, 2013
Neurocomputing, 2013
Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures.
Int. J. Comput. Vis., 2013
A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning.
Proceedings of the Asian Conference on Machine Learning, 2013
2012
Pattern Recognit., 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration.
IEEE Trans. Image Process., 2011
IEEE Trans. Image Process., 2011
Int. J. Imaging Syst. Technol., 2011
CoRR, 2011
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors.
IEEE Trans. Neural Networks, 2010
Pattern Recognit., 2010
IEEE Trans. Pattern Anal. Mach. Intell., 2010
A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms
CoRR, 2010
The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices.
CoRR, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Computer Vision - ECCV 2010, 2010
Proceedings of the Computer Vision, 2010
Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010
The multiscale competitive code via sparse representation for palmprint verification.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
IEEE Trans. Image Process., 2009
Pattern Recognit., 2009
Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis.
Pattern Recognit., 2009
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification.
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
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009
Analysis on Rate-Distortion Performance of Compressive Sensing for Binary Sparse Source.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009
Proceedings of the Computer Vision, 2009
Proceedings of the Computer Vision, 2009
2008
Modeling and rendering of heterogeneous translucent materials using the diffusion equation.
ACM Trans. Graph., 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2006
Response to the Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'.
IEEE Trans. Pattern Anal. Mach. Intell., 2006
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006
Proceedings of the Computer Vision, 2006
2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
2004
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation.
IEEE Trans. Pattern Anal. Mach. Intell., 2004
2003
2002
Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction.
Int. J. Comput. Vis., 2002
2001
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001
2000
On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000
1999
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999