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] Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun , MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 9837–9850 (2024)
• [2] Xiaochen Zhang, Yunfeng Cai, Haoyi Xiong, Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection, accepted by ACML (2024)
• [3] 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, ICLR (2024)
• [4] 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, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2023(2023), 18024-18034
• [5] 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(2023), 28139-28154
• [6] 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, Proceedings of the ACM Web Conference 2023 (WWW ’23), Austin, TX, USA, May 1–5, 2023(2023)
• [7] 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)
• [8] 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)
• [9] Yunfeng Cai, and Ping Li, Identification of Matrix Joint Block Diagonalization, Proceedings of Machine Learning Research, 130(2022), 1495-1503
• [10] 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
• [11] 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
• [12] Yunfeng Cai, Guanhua Fang, and Ping Li, A Note on Sparse Generalized Eigenvalue Problem, Advances in Neural Information Processing Systems, 34(2021), 23036-23048
• [13] Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, and Ping Li, Rethinking token-mixing MLP for MLP-based Vision Backbone, The 32nd British Machine Vision Conference (BMVC), Virtual Event, November 22- 25, 2021(2021)
• [14] Jinxing Yu, Yunfeng Cai, Mingming Sun, and Ping Li, MQuadE: a Unified Model for Knowledge Fact Embedding, Proceedings of the Web Conference 2021 (WWW ’21), Virtual Event / Ljubljana, Slovenia, April 19–23, 2021(2021), 3442-3452
• [15] 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
• [16] 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
• [17] 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
• [18] 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
• [19] Da-Wu Xiao, Wen-Hui Hu, Yunfeng Cai, and Nan Zhao, Magnetic Noise Enabled Biocompass, PHYSICAL REVIEW LETTERS, 124(2020)
• [20] 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
• [21] Yunfeng Cai, Rencang Li, Perturbation Analysis for Matrix Joint Block Diagonalization, LINEAR ALGEBRA AND ITS APPLICATIONS, 581(2019)
• [22] Yunfeng Cai, Zhigang Jia, Zhengjian Bai, Perturbation analysis of an eigenvector-dependent nonlinear eigenvalue problem with applications, BIT NUMERICAL MATHEMATICS, 60(2019)
• [23] 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)
• [24] 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)
• [25] 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)
• [26] 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)
• [27] Yunfeng Cai, Chengyu Liu, An Algebraic Approach to Nonorthogonal General Joint Block Diagonalization, SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 38(2017)
• [28] 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)
• [29] Hao Li, Yunfeng Cai, A Jacobi-Davidson type method for computing real eigenvalues of the quadratic eigenvalue problem, CALCOLO, 53(2015)
• [30] Decai Shi, Yunfeng Cai, Shufang Xu, Some perturbation results for a normalized Non-Orthogonal Joint Diagonalization problem, LINEAR ALGEBRA AND ITS APPLICATIONS, 484(2015)
• [31] 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)
• [32] 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)
• [33] 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)
• [34] Hao Li, Yunfeng Cai, Solving the real eigenvalues of Hermitian quadratic eigenvalue problems via bisection, Electronic Journal of Linear Algebra, 30(2015)
• [35] Zhenchen Guo, Yunfeng Cai, Jiang Qian, Shu-fang Xu, A modified Schur method for robust pole assignment in state feedback control, Automatica, 52(2015)
• [36] 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)
• [37] 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)
• [38] Yunfeng Cai, Jiang Qian, Shufang Xu , Robust partial pole assignment problem for high order control systems, Automatica, 48(2012)
• [39] Yunfeng Cai, Jian Qian, Shufang Xu, The formulation and numerical method for partial quadratic eigenvalue assignment problems, NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, 18(2011)
• [40] Yunfeng Cai, Shufang Xu, A new eigenvalue embedding approach for finite element model updating, TAIWANESE JOURNAL OF MATHEMATICS, 14(2010)
• [41] Yunfeng Cai, Yuencheng Kuo, Wenwei Lin, Shufang Xu, Solutions to a quadratic inverse eigenvalue problem, LINEAR ALGEBRA AND ITS APPLICATIONS, 430(2009)
• [42] Yunfeng Cai, Shufang Xu, On a quadratic inverse eigenvalue problem, INVERSE PROBLEMS, 25(2009)

博士后招聘