Zhouchen Lin

Orcid: 0000-0003-1493-7569

Affiliations:
  • 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 337 papers between 1999 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to low-rank data modeling and image processing".

Timeline

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Bibliography

2024
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Visual Tuning.
ACM Comput. Surv., December, 2024

Towards Understanding Convergence and Generalization of AdamW.
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

Tensor Recovery With Weighted Tensor Average Rank.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Sampling complex topology structures for spiking neural networks.
Neural Networks, 2024

Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks.
Neural Networks, 2024

Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training.
J. Mach. Learn. Res., 2024

Symmetry Discovery for Different Data Types.
CoRR, 2024

On the Adversarial Transferability of Generalized "Skip Connections".
CoRR, 2024

Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization.
CoRR, 2024

Pyramidal Flow Matching for Efficient Video Generative Modeling.
CoRR, 2024

EKAN: Equivariant Kolmogorov-Arnold Networks.
CoRR, 2024

Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks.
CoRR, 2024

DIGIC: Domain Generalizable Imitation Learning by Causal Discovery.
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

Reducing Memory Footprint in Deep Network Training by Gradient Space Reutilization.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MixCon: A Hybrid Architecture for Efficient and Adaptive Sequence Modeling.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Affine Equivariant Networks Based on Differential Invariants.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LION: Implicit Vision Prompt Tuning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Optimization-inspired manual architecture design and neural architecture search.
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

SPIDE: A purely spike-based method for training feedback spiking neural networks.
Neural Networks, April, 2023

Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Equilibrium Image Denoising With Implicit Differentiation.
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

Invertible Rescaling Network and Its Extensions.
Int. J. Comput. Vis., 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

ShadowNet for Data-Centric Quantum System Learning.
CoRR, 2023

Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants.
CoRR, 2023

Task-Robust Pre-Training for Worst-Case Downstream Adaptation.
CoRR, 2023

Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models.
CoRR, 2023

Policy Representation via Diffusion Probability Model for Reinforcement Learning.
CoRR, 2023

LION: Implicit Vision Prompt Tuning.
CoRR, 2023

Provable Particle-based Primal-Dual Algorithm for Mixed Nash Equilibrium.
CoRR, 2023

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation.
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

Task-Robust Pre-Training for Worst-Case Downstream Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GEQ: Gaussian Kernel Inspired Equilibrium Models.
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

Gradient Descent Optimizes Normalization-Free ResNets.
Proceedings of the International Joint Conference on Neural Networks, 2023

KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach.
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

A Message Passing Perspective on Learning Dynamics of Contrastive Learning.
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

Zeroth-order Optimization with Weak Dimension Dependency.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

On the Lower Bound of Minimizing Polyak-Łojasiewicz functions.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Global Convergence of Over-parameterized Deep Equilibrium Models.
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

Training Neural Networks by Lifted Proximal Operator Machines.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Training much deeper spiking neural networks with a small number of time-steps.
Neural Networks, 2022

Under-bagging Nearest Neighbors for Imbalanced Classification.
J. Mach. Learn. Res., 2022

Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization.
J. Mach. Learn. Res., 2022

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction.
CoRR, 2022

SymNMF-Net for The Symmetric NMF Problem.
CoRR, 2022

Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
CoRR, 2022

Towards Theoretically Inspired Neural Initialization Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking Knowledge Graph Evaluation Under the Open-World Assumption.
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

Online Training Through Time for Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs.
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

CerDEQ: Certifiable Deep Equilibrium Model.
Proceedings of the International Conference on Machine Learning, 2022

Optimization-Induced Graph Implicit Nonlinear Diffusion.
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

Optimization inspired Multi-Branch Equilibrium Models.
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

Convolutional Transformer Networks for Epileptic Seizure Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium.
Proceedings of the IEEE International Conference on Big Data, 2022

Alternating Direction Method of Multipliers for Machine Learning
Springer, ISBN: 978-981-16-9839-2, 2022

2021
Towards Efficient Scene Understanding via Squeeze Reasoning.
IEEE Trans. Image Process., 2021

Reconstruction regularized low-rank subspace learning for cross-modal retrieval.
Pattern Recognit., 2021

Tensor Low-Rank Representation for Data Recovery and Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Tensor Q-rank: new data dependent definition of tensor rank.
Mach. Learn., 2021

Histogram Transform Ensembles for Large-scale Regression.
J. Mach. Learn. Res., 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

Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration.
CoRR, 2021

Gradient Boosted Binary Histogram Ensemble for Large-scale Regression.
CoRR, 2021

Optimization Induced Equilibrium Networks.
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

Long-Tail Hashing.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Reparameterized Sampling for Generative Adversarial Networks.
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

Dissecting the Diffusion Process in Linear Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Residual Relaxation for Multi-view Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gauge Equivariant Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Equivariant Network.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Training Implicit Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Leveraged Weighted Loss for Partial Label Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Uncertainty Principles of Encoding GANs.
Proceedings of the 38th International Conference on Machine Learning, 2021

GBHT: Gradient Boosting Histogram Transform for Density Estimation.
Proceedings of the 38th International Conference on Machine Learning, 2021

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Is Attention Better Than Matrix Decomposition?
Proceedings of the 9th International Conference on Learning Representations, 2021

Graph Contrastive Clustering.
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

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters.
IEEE Trans. Signal Process., 2020

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.
IEEE Trans. Image Process., 2020

Revisiting EXTRA for Smooth Distributed Optimization.
SIAM J. Optim., 2020

Accelerated First-Order Optimization Algorithms for Machine Learning.
Proc. IEEE, 2020

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm.
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

Provable accelerated gradient method for nonconvex low rank optimization.
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

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Maximum-and-Concatenation Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions.
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

Boosted Histogram Transform for Regression.
Proceedings of the 37th International Conference on Machine Learning, 2020

Invertible Image Rescaling.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving Semantic Segmentation via Decoupled Body and Edge Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation.
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

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering.
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

Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Accelerated Optimization for Machine Learning - First-Order Algorithms
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

Essential Tensor Learning for Multi-View Spectral Clustering.
IEEE Trans. Image Process., 2019

Subspace Clustering Under Complex Noise.
IEEE Trans. Circuits Syst. Video Technol., 2019

Robust 3D Human Pose Estimation from Single Images or Video Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Subspace Clustering by Block Diagonal Representation.
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

Two-weight and three-weight linear codes based on Weil sums.
Finite Fields Their Appl., 2019

Tensor Q-Rank: A New Data Dependent Tensor Rank.
CoRR, 2019

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks.
CoRR, 2019

Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN.
CoRR, 2019

Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors.
CoRR, 2019

Virtual Adversarial Training on Graph Convolutional Networks in Node Classification.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Neural Ordinary Differential Equations with Envolutionary Weights.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Differentiable Linearized ADMM.
Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Comprehensive Correlation Mining for Image Clustering.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Expectation-Maximization Attention Networks for Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Supervised Convolutional Subspace Clustering Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Sharp Analysis for Nonconvex SGD Escaping from Saddle Points.
Proceedings of the Conference on Learning Theory, 2019

Lifted Proximal Operator Machines.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Tensor Factorization for Low-Rank Tensor Completion.
IEEE Trans. Image Process., 2018

Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding.
IEEE Trans. Image Process., 2018

Binary Multidimensional Scaling for Hashing.
IEEE Trans. Image Process., 2018

Low-Rank Matrix Recovery Via Robust Outlier Estimation.
IEEE Trans. Image Process., 2018

Optimized projections for compressed sensing via direct mutual coherence minimization.
Signal Process., 2018

On the Applications of Robust PCA in Image and Video Processing.
Proc. IEEE, 2018

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

A Unified Alternating Direction Method of Multipliers by Majorization Minimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Robust Matrix Factorization by Majorization Minimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

t-Schatten-p Norm for Low-Rank Tensor Recovery.
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

Demosaicking based on channel-correlation adaptive dictionary learning.
J. Electronic Imaging, 2018

Dictionary learning with structured noise.
Neurocomputing, 2018

Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation.
CoRR, 2018

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution.
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

Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Alternating Multi-bit Quantization for Recurrent Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining.
Proceedings of the Computer Vision - ECCV 2018, 2018

Convolutional Neural Networks With Alternately Updated Clique.
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

Optimization Algorithm Inspired Deep Neural Network Structure Design.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Construction of Incoherent Dictionaries via Direct Babel Function Minimization.
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
Label Information Guided Graph Construction for Semi-Supervised Learning.
IEEE Trans. Image Process., 2017

Bilevel Model-Based Discriminative Dictionary Learning for Recognition.
IEEE Trans. Image Process., 2017

The Shape Interaction Matrix-Based Affine Invariant Mismatch Removal for Partial-Duplicate Image Search.
IEEE Trans. Image Process., 2017

Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking.
IEEE Trans. Image Process., 2017

Automatic Design of High-Sensitivity Color Filter Arrays With Panchromatic Pixels.
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

Efficient tree-structured SfM by RANSAC generalized Procrustes analysis.
Comput. Vis. Image Underst., 2017

Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval.
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

Factorization for projective and metric reconstruction via truncated nuclear norm.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery.
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

Fast Compressive Phase Retrieval under Bounded Noise.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A Unified Convex Surrogate for the Schatten-<i>p</i> Norm.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Integrated Low-Rank-Based Discriminative Feature Learning for Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2016

Tensor LRR and Sparse Coding-Based Subspace Clustering.
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

Convex Sparse Spectral Clustering: Single-View to Multi-View.
IEEE Trans. Image Process., 2016

Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm.
IEEE Trans. Image Process., 2016

Automatic Design of Color Filter Arrays in the Frequency Domain.
IEEE Trans. Image Process., 2016

Transformation invariant subspace clustering.
Pattern Recognit., 2016

Laplacian Regularized Low-Rank Representation and Its Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis.
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

Penrose high-dynamic-range imaging.
J. Electronic Imaging, 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

Globally Variance-Constrained Sparse Representation for Image Set Compression.
CoRR, 2016

A Unified Convex Surrogate for the Schatten-$p$ Norm.
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

Multi-view common space learning for emotion recognition in the wild.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

Robust Kernel Estimation with Outliers Handling for Image Deblurring.
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

Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization.
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
Signature Sample Synthesis.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features.
IEEE Trans. Image Process., 2015

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.
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

Penrose Demosaicking.
IEEE Trans. Image Process., 2015

Robust nuclear norm regularized regression for face recognition with occlusion.
Pattern Recognit., 2015

Relations Among Some Low-Rank Subspace Recovery Models.
Neural Comput., 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

Learning Deep Convolutional Neural Networks for Places2 Scene Recognition.
CoRR, 2015

Image tag completion and refinement by subspace clustering and matrix completion.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

Accelerated Proximal Gradient Methods for Nonconvex Programming.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Determining step sizes in geometric optimization algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Adaptive Sharing for Image Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multiple Models Fusion for Emotion Recognition in the Wild.
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

Subspace clustering by Mixture of Gaussian Regression.
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

Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Generalized Singular Value Thresholding.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Transform invariant text extraction.
Vis. Comput., 2014

L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2014

A Regularized Approach for Geodesic-Based Semisupervised Multimanifold Learning.
IEEE Trans. Image Process., 2014

Learning Markov random walks for robust subspace clustering and estimation.
Neural Networks, 2014

Robust latent low rank representation for subspace clustering.
Neurocomputing, 2014

Linear time Principal Component Pursuit and its extensions using ℓ<sub>1</sub> filtering.
Neurocomputing, 2014

Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features.
CoRR, 2014

Tensor LRR based subspace clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Low Rank Global Geometric Consistency for Partial-Duplicate Image Search.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

L1-norm global geometric consistency for partial-duplicate image retrieval.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Robust Estimation of 3D Human Poses from a Single Image.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Low-Rank Regularized Regression for Face Recognition with Occlusion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Generalized Nonconvex Nonsmooth Low-Rank Minimization.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Adaptive Partial Differential Equation Learning for Visual Saliency Detection.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Smooth Representation Clustering.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Subspace Segmentation with Block-Diagonal Prior.
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
Fast gradient vector flow computation based on augmented Lagrangian method.
Pattern Recognit. Lett., 2013

Robust Recovery of Subspace Structures by Low-Rank Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Toward designing intelligent PDEs for computer vision: An optimal control approach.
Image Vis. Comput., 2013

Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning.
Neurocomputing, 2013

A comparison of typical ℓ<sub>p</sub> minimization algorithms.
Neurocomputing, 2013

Bases sorting: Generalizing the concept of frequency for over-complete dictionaries.
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

Rectification of Optical Characters as Transform Invariant Low-Rank Textures.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Correntropy Induced L2 Graph for Robust Subspace Clustering.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Correlation Adaptive Subspace Segmentation by Trace Lasso.
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
A new discriminant subspace analysis approach for multi-class problems.
Pattern Recognit., 2012

Geodesic Based Semi-supervised Multi-manifold Feature Extraction.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Non-negative low rank and sparse graph for semi-supervised learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fixed-rank representation for unsupervised visual learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction.
IEEE Trans. Knowl. Data Eng., 2011

A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration.
IEEE Trans. Image Process., 2011

A Geometric Method for Optimal Design of Color Filter Arrays.
IEEE Trans. Image Process., 2011

Penrose Pixels for Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

The frequency structure matrix: A representation of color filter arrays.
Int. J. Imaging Syst. Technol., 2011

Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering
CoRR, 2011

Some Software Packages for Partial SVD Computation
CoRR, 2011

Analysis and Improvement of Low Rank Representation for Subspace segmentation
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

Feature extraction by learning Lorentzian metric tensor and its extensions.
Pattern Recognit., 2010

Unsupervised Object Segmentation with a Hybrid Graph Model (HGM).
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

Robust Subspace Segmentation by Low-Rank Representation.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Emotion Recognition from Arbitrary View Facial Images.
Proceedings of the Computer Vision - ECCV 2010, 2010

Learning PDEs for Image Restoration via Optimal Control.
Proceedings of the Computer Vision, 2010

Tree Structure Based Analyses on Compressive Sensing for Binary Sparse Sources.
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
Signature Sample Synthesis.
Proceedings of the Encyclopedia of Biometrics, 2009

Kernel Nyström method for light transport.
ACM Trans. Graph., 2009

Radon Representation-Based Feature Descriptor for Texture Classification.
IEEE Trans. Image Process., 2009

Classification via Minimum Incremental Coding Length.
SIAM J. Imaging Sci., 2009

Tensor linear Laplacian discrimination (TLLD) for feature extraction.
Pattern Recognit., 2009

Multi-output regression on the output manifold.
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

A novel approach to expression recognition from non-frontal face images.
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

Lorentzian Discriminant Projection and Its Applications.
Proceedings of the Computer Vision, 2009

Refined Exponential Filter with Applications to Image Restoration and Interpolation.
Proceedings of the Computer Vision, 2009

2008
Modeling and rendering of heterogeneous translucent materials using the diffusion equation.
ACM Trans. Graph., 2008

Perceptual image preview.
Multim. Syst., 2008

Limits of Learning-Based Superresolution Algorithms.
Int. J. Comput. Vis., 2008

Classification via semi-Riemannian spaces.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
High Resolution Animated Scenes from Stills.
IEEE Trans. Vis. Comput. Graph., 2007

Style-preserving English handwriting synthesis.
Pattern Recognit., 2007

Classification via Minimum Incremental Coding Length (MICL).
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Laplacian PCA and Its Applications.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Contextual Distance for Data Perception.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Penrose Pixels Super-Resolution in the Detector Layout Domain.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Linear Laplacian Discrimination for Feature Extraction.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Rule-based cleanup of on-line English ink notes.
Pattern Recognit., 2006

Response to the Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Table Detection in Online Ink Notes.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Real-time rendering of realistic rain.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006

Detecting Doctored JPEG Images Via DCT Coefficient Analysis.
Proceedings of the Computer Vision, 2006

2005
Optimal Polynomial Filters.
J. Graph. Tools, 2005

Prefiltering Two-Dimensional Polygons without Clipping.
J. Graph. Tools, 2005

Detecting Doctored Images Using Camera Response Normality and Consistency.
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

A Geometric Analysis of Light Field Rendering.
Int. J. Comput. Vis., 2004

2003
Correction and rectification of light fields.
Comput. Graph., 2003

2002
Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction.
Int. J. Comput. Vis., 2002

2001
On the Fundamental Limits of Reconstruction-Based Super-Resolution Algorithms.
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
An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation.
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999


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