Yunfeng Cai

Orcid: 0000-0003-2387-191X

According to our database1, Yunfeng Cai authored at least 41 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior.
CoRR, 2024

MQuinE: a cure for "Z-paradox" in knowledge graph embedding models.
CoRR, 2024

Neural Field Classifiers via Target Encoding and Classification Loss.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MQuinE: a Cure for "Z-paradox" in Knowledge Graph Embedding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation.
Numer. Linear Algebra Appl., October, 2023

Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix.
CoRR, 2023

MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules.
Proceedings of the ACM Web Conference 2023, 2023

Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science.
CoRR, 2022

S<sup>2</sup>-MLP: Spatial-Shift MLP Architecture for Vision.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Sensitivity of Under-Determined Linear System.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Constructing Orthogonal Convolutions in an Explicit Manner.
Proceedings of the Tenth International Conference on Learning Representations, 2022

SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

Efficient Compact Bilinear Pooling via Kronecker Product.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Advanced variations of two-dimensional principal component analysis for face recognition.
Neurocomputing, 2021

S<sup>2</sup>-MLPv2: Improved Spatial-Shift MLP Architecture for Vision.
CoRR, 2021

MQuadE: a Unified Model for Knowledge Fact Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

A Note on Sparse Generalized Eigenvalue Problem.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Rethinking Token-Mixing MLP for MLP-based Vision Backbone.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Identification of Matrix Joint Block Diagonalization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Blind Block Term Decomposition of High Order Tensors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Tensor Completion via Tensor Networks with a Tucker Wrapper.
CoRR, 2020

Ratio Trace Formulation of Wasserstein Discriminant Analysis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Toward Faster and Simpler Matrix Normalization via Rank-1 Update.
Proceedings of the Computer Vision - ECCV 2020, 2020

Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Solving the general joint block diagonalization problem via linearly independent eigenvectors of a matrix polynomial.
Numer. Linear Algebra Appl., 2019

Relaxed 2-D Principal Component Analysis by L<sub>p</sub> Norm for Face Recognition.
CoRR, 2019

Relaxed 2-D Principal Component Analysis by Lp Norm for Face Recognition.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
Approximate Joint Singular Value Decomposition Algorithm Based on Givens-Like Rotation.
IEEE Signal Process. Lett., 2018

On an Eigenvector-Dependent Nonlinear Eigenvalue Problem.
SIAM J. Matrix Anal. Appl., 2018

2017
Eigenvalue Embedding of Undamped Vibroacoustic Systems with No-spillover.
SIAM J. Matrix Anal. Appl., 2017

An Algebraic Approach to Nonorthogonal General Joint Block Diagonalization.
SIAM J. Matrix Anal. Appl., 2017

2016
Refined Schur Method for Robust Pole Assignment with Repeated Poles.
IEEE Trans. Autom. Control., 2016

2015
A Matrix Polynomial Spectral Approach for General Joint Block Diagonalization.
SIAM J. Matrix Anal. Appl., 2015

A modified Schur method for robust pole assignment in state feedback control.
Autom., 2015

2013
Hybrid preconditioning for iterative diagonalization of ill-conditioned generalized eigenvalue problems in electronic structure calculations.
J. Comput. Phys., 2013

Partial derivatives of the eigen-triplet of the quadratic eigenvalue problem depending on several parameters.
Appl. Math. Comput., 2013

2012
Robust partial pole assignment problem for high order control systems.
Autom., 2012

2011
The formulation and numerical method for partial quadratic eigenvalue assignment problems.
Numer. Linear Algebra Appl., 2011


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