The formulation and numerical method for partial quadratic eigenvalue assignment problems. - Yun-Feng Cai; Jiang Qian; Shu-Fang Xu (Numer. Linear Algebra Appl., 2011)

Robust partial pole assignment problem for high order control systems. - Yun-Feng Cai; Jiang Qian; Shu-Fang Xu (Autom., 2012)

Partial derivatives of the eigen-triplet of the quadratic eigenvalue problem depending on several parameters. - Xin Lu; Shu-Fang Xu; Yun-Feng Cai (Appl. Math. Comput., 2013)

Hybrid preconditioning for iterative diagonalization of ill-conditioned generalized eigenvalue problems in electronic structure calculations. - Yunfeng Cai; Zhaojun Bai; John E. Pask; N. Sukumar (J. Comput. Phys., 2013)

A modified Schur method for robust pole assignment in state feedback control. - Zhen-Chen Guo; Yun-Feng Cai; Jiang Qian; Shu-Fang Xu (Autom., 2015)

A Matrix Polynomial Spectral Approach for General Joint Block Diagonalization. - Yunfeng Cai; Decai Shi; Shufang Xu (SIAM J. Matrix Anal. Appl., 2015)

Refined Schur Method for Robust Pole Assignment with Repeated Poles. - Zhen-Chen Guo; Jiang Qian; Yun-Feng Cai; Shu-Fang Xu (IEEE Trans. Autom. Control., 2016)

An Algebraic Approach to Nonorthogonal General Joint Block Diagonalization. - Yunfeng Cai; Chengyu Liu (SIAM J. Matrix Anal. Appl., 2017)

Eigenvalue Embedding of Undamped Vibroacoustic Systems with No-spillover. - Jiang Qian; Yun-Feng Cai; Delin Chu; Roger C. E. Tan (SIAM J. Matrix Anal. Appl., 2017)

On an Eigenvector-Dependent Nonlinear Eigenvalue Problem. - Yunfeng Cai; Lei-Hong Zhang; Zhaojun Bai; Ren-Cang Li (SIAM J. Matrix Anal. Appl., 2018)

Approximate Joint Singular Value Decomposition Algorithm Based on Givens-Like Rotation. - Jifei Miao; Guanghui Cheng; Yunfeng Cai; Jing Xia (IEEE Signal Process. Lett., 2018)

Relaxed 2-D Principal Component Analysis by Lp Norm for Face Recognition. - Xiao Chen; Zhigang Jia; Yunfeng Cai; Meixiang Zhao (ICIC (1), 2019)

Relaxed 2-D Principal Component Analysis by Lp Norm for Face Recognition. - Xiao Chen; Zhi-Gang Jia; Yunfeng Cai; Mei-Xiang Zhao (CoRR, 2019)

Solving the general joint block diagonalization problem via linearly independent eigenvectors of a matrix polynomial. - Yunfeng Cai; Guanghui Cheng; Decai Shi (Numer. Linear Algebra Appl., 2019)

An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. - Yunfeng Cai; Ping Li 001 (AISTATS, 2020)

Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. - Yunfeng Cai; Ping Li 001 (AISTATS, 2020)

Toward Faster and Simpler Matrix Normalization via Rank-1 Update. - Tan Yu; Yunfeng Cai; Ping Li 001 (ECCV (19), 2020)

Ratio Trace Formulation of Wasserstein Discriminant Analysis. - Hexuan Liu; Yunfeng Cai; You-Lin Chen; Ping Li 001 (NeurIPS, 2020)

Tensor Completion via Tensor Networks with a Tucker Wrapper. - Yunfeng Cai; Ping Li 001 (CoRR, 2020)

A Blind Block Term Decomposition of High Order Tensors. - Yunfeng Cai; Ping Li 001 (AAAI, 2021)

Identification of Matrix Joint Block Diagonalization. - Yunfeng Cai; Ping Li 001 (AISTATS, 2021)

Rethinking Token-Mixing MLP for MLP-based Vision Backbone. - Tan Yu; Xu Li 001; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (BMVC, 2021)

A Note on Sparse Generalized Eigenvalue Problem. - Yunfeng Cai; Guanhua Fang; Ping Li 001 (NeurIPS, 2021)

MQuadE: a Unified Model for Knowledge Fact Embedding. - Jinxing Yu; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (WWW, 2021)

S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision. - Tan Yu; Xu Li 001; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (CoRR, 2021)

Advanced variations of two-dimensional principal component analysis for face recognition. - Meixiang Zhao; Zhigang Jia; Yunfeng Cai; Xiao Chen; Dunwei Gong (Neurocomputing, 2021)

Efficient Compact Bilinear Pooling via Kronecker Product. - Tan Yu; Yunfeng Cai; Ping Li 001 (AAAI, 2022)

SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space. - Jinxing Yu; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (HT, 2022)

Constructing Orthogonal Convolutions in an Explicit Manner. - Tan Yu; Jun Li 098; Yunfeng Cai; Ping Li 001 (ICLR, 2022)

Sensitivity of Under-Determined Linear System. - Yunfeng Cai; Guanhua Fang; Ping Li 001 (ISIT, 2022)

S2-MLP: Spatial-Shift MLP Architecture for Vision. - Tan Yu; Xu Li 001; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (WACV, 2022)

On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science. - Zeke Xie; Qian-Yuan Tang 001; Yunfeng Cai; Mingming Sun 001; Ping Li 001 (CoRR, 2022)

S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields. - Zeke Xie; Xindi Yang; Yujie Yang; Qi Sun; Yixiang Jiang; Haoran Wang 004; Yunfeng Cai; Mingming Sun 001 (ICCV, 2023)

Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs. - Shengyuan Chen; Yunfeng Cai; Huang Fang; Xiao Huang 001; Mingming Sun 001 (NeurIPS, 2023)

MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules. - Huang Fang; Yang Liu 320; Yunfeng Cai; Mingming Sun 001 (WWW, 2023)

Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix. - Yunfeng Cai; Xu Li 001; Mingming Sun 001; Ping Li 001 (CoRR, 2023)

Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation. - Ming Zhou 007; Zhaojun Bai; Yunfeng Cai; Klaus Neymeyr (Numer. Linear Algebra Appl., 2023)

MQuinE: a Cure for "Z-paradox" in Knowledge Graph Embedding. - Yang Liu 320; Huang Fang; Yunfeng Cai; Mingming Sun 001 (EMNLP, 2024)

Neural Field Classifiers via Target Encoding and Classification Loss. - Xindi Yang; Zeke Xie; Xiong Zhou; Boyu Liu; Buhua Liu; Yi Liu; Haoran Wang 004; Yunfeng Cai; Mingming Sun 001 (ICLR, 2024)

MQuinE: a cure for "Z-paradox" in knowledge graph embedding models. - Yang Liu 320; Huang Fang; Yunfeng Cai; Mingming Sun 001 (CoRR, 2024)

SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior. - Zhongrui Yu; Haoran Wang 004; Jinze Yang; Hanzhang Wang; Zeke Xie; Yunfeng Cai; Jiale Cao; Zhong Ji; Mingming Sun 001 (CoRR, 2024)

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models. - Haoyu Liang; Youran Sun; Yunfeng Cai; Jun Zhu; Bo Zhang (CoRR, 2025)

Knoop: practical enhancement of knockoff with over-parameterization for variable selection. - Xiaochen Zhang; Yunfeng Cai; Haoyi Xiong (Mach. Learn., 2025)