北京雁栖湖应用数学研究院

• 2024 -      BIMSA      教授
• 2018 - 2024      百度在线网络技术（北京）有限公司      研究员
• 2012 - 2018      北京大学      特聘研究员
• 2010 - 2012      美国加州大学戴维斯分校      博士后
• 2009 - 2009      中国科学院数学与系统科学研究院      博士后

• [1] Haoyu Liang, Youran Sun, Yunfeng Cai, Jun Zhu, Bo Zhang, Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models (2025)
• [2] Xiaochen Zhang, Yunfeng Cai, Haoyi Xiong, Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection, Machine Learning, 114(1) (2025)
• [3] Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun , MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding, , 9837-9850 (2024)
• [4] Z Yu, H Wang, J Yang, H Wang, Z Xie, Y Cai, J Cao, Z Ji, M Sun, Sgd: Street view synthesis with gaussian splatting and diffusion prior, arXiv preprint arXiv:2403.20079 (2024)
• [5] Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu, Yi Liu, Haoran Wang, Yunfeng Cai, Mingming Sun, Neural Field Classifiers via Target Encoding and Classification Loss, arXiv preprint arXiv:2403.01058 (2024)
• [6] Y Liu, H Fang, Y Cai, M Sun, MQuinE: a cure for" Z-paradox" in knowledge graph embedding models, arXiv preprint arXiv:2402.03583 (2024)
• [7] Shengyuan Chen, Yunfeng Cai, Huang Fang, and Mingming Sun, Differentiable neuro-symbolic reasoning on large-scale knowledge graphs, Advances in Neural Information Processing Systems, 36, 28139-28154 (2023)
• [8] Huang Fang, Yang Liu, Yunfeng Cai, and Mingming Sun, Mln4kb: an efficient markov logic network engine for large-scale knowledge bases and structured logic rules, , 2423-2432 (2023)
• [9] Ming Zhou, Zhaojun Bai, Yunfeng Cai, Klaus Neymeyr, Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation, NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, 35(2023)
• [10] Zeke Xie, Xindi Yang, Yujie Yang, Qi Sun, Yixiang Jiang, Haoran Wang, Yunfeng Cai, and Mingming Sun, S3im: Stochastic structural similarity and its unreasonable effectiveness for neural fields, , 18024-18034 (2023)
• [11] Tan Yu, Jun Li, Yunfeng Cai, and Ping Li, Constructing orthgonal convolutions in an explicit manner, The Tenth International Conference on Learning Representations (ICLR), Virtual Event, April 25-29, 2022(2022)
• [12] Jinxing Yu, Yunfeng Cai, Mingming Sun, and Ping Li, Spacee: Knowledge graph embedding by relational linear transformation in the entity space, , 64-72 (2022)
• [13] Yunfeng Cai, and Ping Li, Identification of Matrix Joint Block Diagonalization, Proceedings of Machine Learning Research, 130(2022), 1495-1503
• [14] Tan Yu, Yunfeng Cai, and Ping Li, Efficient Compact Bilinear Pooling via Kronecker Product, Proceedings of the AAAI Conference on Artificial Intelligence, 36(2022), 3, 3170-3178
• [15] Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, and Ping Li, $S^2$-MLP: Spatial-Shift MLP Architecture for Vision, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2022(2022), 297-306
• [16] Z Xie, QY Tang, Y Cai, M Sun, P Li, On the power-law hessian spectrums in deep learning, arXiv preprint arXiv:2201.13011 (2022)
• [17] Z Xie, QY Tang, Y Cai, M Sun, P Li, On the power-law spectrum in deep learning: A bridge to protein science, arXiv preprint arXiv:2201.13011, 2 (2022)
• [18] T Yu, X Li, Y Cai, M Sun, P Li, S2-mlp: Spatial-shift mlp architecture for vision, Proceedings of the IEEE/CVF winter conference on applications of computer vision, 297-306 (2022)
• [19] Yunfeng Cai, Guanhua Fang, and Ping Li, A Note on Sparse Generalized Eigenvalue Problem, Advances in Neural Information Processing Systems, 34(2021), 23036-23048
• [20] T Yu, X Li, Y Cai, M Sun, P Li, S$^2$-MLPv2: Improved Spatial-Shift MLP Architecture for Vision, arXiv preprint arXiv:2108.01072 (2021)
• [21] Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, and Ping Li, Rethinking token-mixing MLP for MLP-based vision backbone, arXiv preprint arXiv:2106.14882 (2021)
• [22] Jinxing Yu, Yunfeng Cai, Mingming Sun, and Ping Li, Mquade: a unified model for knowledge fact embedding, , 3442-3452 (2021)
• [23] Yunfeng Cai, and Ping Li, A Blind Block Term Decomposition of High Order Tensors, Proceedings of the AAAI Conference on Artificial Intelligence, 35(2021), 8, 6868-6876
• [24] Hexuan Liu, Yunfeng Cai, You-Lin Chen, and Ping Li, Ratio Trace Formulation of Wasserstein Discriminant Analysis, Advances in Neural Information Processing Systems, 33(2020), 16821-16832
• [25] Yunfeng Cai, and Ping Li, Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations, Proceedings of Machine Learning Research, 108(2020), 4162-4172
• [26] Yunfeng Cai, and Ping Li, An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem, Proceedings of Machine Learning Research, 108(2020), 3460-3470
• [27] Da-Wu Xiao, Wen-Hui Hu, Yunfeng Cai, and Nan Zhao, Magnetic Noise Enabled Biocompass, PHYSICAL REVIEW LETTERS, 124(2020)
• [28] Tan Yu, Yunfeng Cai, and Ping Li, Toward Faster and Simpler Matrix Normalization via Rank-1 Update, Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020(2020), 203-219
• [29] Yunfeng Cai, Rencang Li, Perturbation Analysis for Matrix Joint Block Diagonalization, LINEAR ALGEBRA AND ITS APPLICATIONS, 581(2019)
• [30] C Cai, Y Cai, M Sun, Z Xu, Group representation theory for knowledge graph embedding, arXiv preprint arXiv:1909.05100 (2019)
• [31] Yunfeng Cai, Zhigang Jia, Zhengjian Bai, Perturbation analysis of an eigenvector-dependent nonlinear eigenvalue problem with applications, BIT NUMERICAL MATHEMATICS, 60(2019)
• [32] Yunfeng Cai, Guanghui Cheng, Decai Shi, Solving the general joint block diagonalization problem via linearly independent eigenvectors of a matrix polynomial, NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, 26(2019)
• [33] Yunfeng Cai, Zhaojun Bai, John E. Pask and N. Sukumar, Convergence analysis of a locally accelerated preconditioned steepest descent method for Hermitian-definite generalized eigenvalue problems, JOURNAL OF COMPUTATIONAL MATHEMATICS, 36(2018)
• [34] Jifei Miao, Guanghui Cheng, Yunfeng Cai, Jing Xia, Approximate joint singular value decomposition algorithm based on Givens-like rotation, IEEE Signal Processing Letters, 25(2018)
• [35] Yunfeng Cai, Lei-Hong Zhang, Zhaojun Bai, Ren-Cang Li, On an Eigenvector-Dependent Nonlinear Eigenvalue Problem, SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 39(2018)
• [36] Yunfeng Cai, Tiejun Li, Jiushu Shao, Zhiming Wang, Analysis of the Closure Approximation for a Class of Stochastic Differential Equations, Numerical Mathematics-Theory Methods and Applications, 10(2017)
• [37] Jiang Qian, Yunfeng Cai, Delin Chu, Roger C. E. Tan, Eigenvalue Embedding of Undamped Vibroacoustic Systems with No-spillover, SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 38(2017)
• [38] Yunfeng Cai, Chengyu Liu, An Algebraic Approach to Nonorthogonal General Joint Block Diagonalization, SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 38(2017)
• [39] Hao Li, Yunfeng Cai, A Jacobi-Davidson type method for computing real eigenvalues of the quadratic eigenvalue problem, CALCOLO, 53(2015)
• [40] Decai Shi, Yunfeng Cai, Shufang Xu, Some perturbation results for a normalized Non-Orthogonal Joint Diagonalization problem, LINEAR ALGEBRA AND ITS APPLICATIONS, 484(2015)
• [41] Zhen-Chen Guo, Jiang Qian, Yun-feng Cai, Shu-fang Xu, Refined Schur Method for Robust Pole Assignment with Repeated Poles, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 61(2015)
• [42] Peichang Guo, Yunfeng Cai, Jiang Qian, Shufang Xu, Perturbation analysis of the extinction probability of a Markovian binary tree, LINEAR ALGEBRA AND ITS APPLICATIONS, 475(2015)
• [43] Yunfeng Cai, Decai Shi, Shufang Xu, A matrix polynomial spectral approach for general joint block diagonalization, SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 36(2015)
• [44] Hao Li, Yunfeng Cai, Solving the real eigenvalues of Hermitian quadratic eigenvalue problems via bisection, Electronic Journal of Linear Algebra, 30(2015)
• [45] Zhenchen Guo, Yunfeng Cai, Jiang Qian, Shu-fang Xu, A modified Schur method for robust pole assignment in state feedback control, Automatica, 52(2015)
• [46] Yunfeng Cai, Zhaojun Bai, John E. Pask, N. Sukumar, Hybrid preconditioning for iterative diagonalization of ill-conditioned generalized eigenvalue problems in electronic structure calculations, JOURNAL OF COMPUTATIONAL PHYSICS, 255(2013)
• [47] Xin Lu, Shufang Xu, Yunfeng Cai, Partial derivatives of the eigen-triplet of the quadratic eigenvalue problem depending on several parameters, APPLIED MATHEMATICS AND COMPUTATION, 219(2013)
• [48] Yunfeng Cai, Jiang Qian, Shufang Xu , Robust partial pole assignment problem for high order control systems, Automatica, 48(2012)
• [49] Yunfeng Cai, Jian Qian, Shufang Xu, The formulation and numerical method for partial quadratic eigenvalue assignment problems, NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, 18(2011)
• [50] Yunfeng Cai, Shufang Xu, A new eigenvalue embedding approach for finite element model updating, TAIWANESE JOURNAL OF MATHEMATICS, 14(2010)
• [51] Yunfeng Cai, Shufang Xu, On a quadratic inverse eigenvalue problem, INVERSE PROBLEMS, 25(2009)
• [52] Yunfeng Cai, Yuencheng Kuo, Wenwei Lin, Shufang Xu, Solutions to a quadratic inverse eigenvalue problem, LINEAR ALGEBRA AND ITS APPLICATIONS, 430(2009)
• [53] Y Cai, X Li, M Sun, P Li, Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix, arXiv preprint arXiv:2311.00674 (2023)
• [54] T Yu, J Li, Y Cai, P Li, Constructing orthogonal convolutions in an explicit manner, International Conference on Learning Representations (2022)
• [55] Y Cai, G Fang, P Li, Sensitivity of Under-Determined Linear System, IEEE International Symposium on Information Theory (ISIT), 2267-2272 (2022)
• [56] M Zhao, Z Jia, Y Cai, X Chen, D Gong, Advanced variations of two-dimensional principal component analysis for face recognition, Neurocomputing, 452, 653-664 (2021)
• [57] Y Cai, P Li, Tensor Completion via Tensor Networks with a Tucker Wrapper, arXiv preprint arXiv:2010.15819 (2020)
• [58] X Chen, Z Jia, Y Cai, M Zhao, Relaxed 2-D Principal Component Analysis by LNorm for Face Recognition, Intelligent Computing Theories and Application (2019)
• [59] J Miao, G Cheng, Y Cai, J Xia, Approximate joint singular value decomposition algorithm based on givens-like rotation, IEEE Signal Processing Letters, 25(5), 620-624 (2018)
• [60] Y Cai, J Qian, On some inverse eigenvalue problems of quadratic palindromic systems, arXiv preprint arXiv:1606.03840 (2016)
• [61] H Li, Y Cai, A Jacobi–Davidson type method for computing real eigenvalues of the quadratic eigenvalue problem, Calcolo, 53(4), 737-749 (2016)
• [62] D Shi, Y Cai, S Xu, A Polynomial Eigenproblem Approach for General Joint Block Diagonalization (2013)
• [63] T Yu, Y Cai, P Li, Fast Bilinear Matrix Normalization via Rank-1 Update
• [64] S Shao, B LiChen, T Ye, Y Cai, K Wu, Z Xie, The Blessing of Smooth Initialization for Video Diffusion Models
• [65] X Li, Y CAI, M Sun, P Li, Causal Discovery via Cholesky Factorization
• [66] Z Xie, X Yang, Y Yang, Q Sun, Y Jiang, H Wang, Y Cai, M Sun, Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Field
• [67] YF Cai, J Qian, SF Xu, A New Approach for Partial Quadratic Eigenvalue Assignment Problem
• [68] Y Cai, Z Wang, T Li, J Shao, Analysis of the Closure Approximation for a Class
• [69] Z Xie, QY Tang, Y CAI, M Sun, On the Power-Law Hessian Spectra in Deep Learning
• [70] Yufei Gu, Qian-Yuan Tang, Yunfeng Cai, Mingming Sun, Ping Li, zhou Xun, Zeke Xie, Investigating the Overlooked Hessian Structure: From CNNs to LLMs, ICML

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