About Me
Now I am an assistant researcher at the PKU Changsha Institute for Computing and Digital Economy (ICODE). I obtained my master’s degree at the School of Mathematics and Statistics, Chongqing University (CQU), under the supervision of Prof. Hanyu Li, and obtained my PhD degree at the School of Mathematical Science, Peking University (PKU). After that, I did postdoctoral research at PKU.
Collaborators:
Research Interest
I am interested in (randomized) numerical linear algebra, tensor computation and applications, tensor networks, model reduction, and parallel computing. Particularly,
- (Randomized) numerical linear algebra: matrix perturbation analysis, randomized algorithms in NLA;
- Tensor computation: algorithms for tensor operators such as tensor decomposition, recompression, and so on;
- Tensor application: tensors in scientific computing, artificial intelligence, and data science.
Work Experience
- Assistant Researcher, PKU Changsha Institute for Computing and Digital Economy, Jul. 2024 - present
- PostDoc., National Engineering Laboratory for Big Data Analysis and Applications & School of Mathematical Science, Peking University， Jul. 2022 - Jun. 2024
- Intern, Peng Cheng Lab., Jun. 2020 - Jau. 2021
Education Experience
- PhD., School of Mathematical Science, Peking University， Sep. 2018 - Jun. 2022
- Master, School of Mathematics and Statistics, Chongqing University, Sep. 2015 - Jun. 2018
- Bachelor, Department of Mathematics and Computer Science, Wuyi University, Sep. 2011 - Jun. 2015
Publications and Preprints (*Corresponding Author)
- Zhonghao Sun, Jizu Huang*, Chuanfu Xiao, Chao Yang, HaTT: Hadamard avoiding TT recompression and its applications, preprint, 2025.
- Chuanfu Xiao, Kejun Tang*, Zhitao Zhu, Provable low-rank tensor-train approximations in the inverse of large-scale structured matrices, preprint, 2024.
- Zhitao Zhu, Chuanfu Xiao*, Kejun Tang, Jizu Huang, Chao Yang, APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation, preprint, 2024.
- Chuanfu Xiao, Zeyu Li, Chao Yang*, HOSCF: Efficient decoupling algorithms for finding the best rank-one approximation of higher-order tensors, SIAM Journal on Matrix Analysis and Applications (to appear), 2025.
- Qianchao Zhu, Jiangfeng Duan, Chang Chen, Siran Liu, Xiuhong Li, Guanyu Feng, Xin Lv, Chuanfu Xiao, Dahua Lin, Chao Yang*, Near-lossless acceleration of long context LLM inference with adaptive structured sparse attention, The Eighth Annual Conference on Machine Learning and Systems (MLSys) 2025.
- Chuanfu Xiao*, Chao Yang, RA-HOOI: Rank-adaptive higher-order orthogonal iteration for the fixed-accuracy low multilinear-rank approximation of tensors, Applied Numerical Mathematics, 2024.
- Cuiyu Liu, Chuanfu Xiao, Mingshuo Ding, Chao Yang*, Tensor-based sketching method for the low-rank approximation of data streams, International Conference on Learning Representations (ICLR) 2023.
- Lian Duan, Chuanfu Xiao, Min Li, Mingshuo Ding, Chao Yang*, a-Tucker: Fast input-adaptive and matricization-free Tucker decomposition of higher-order tensors on GPUs, CCF Transaction on High Performance Computing, 2022.
- Chuanfu Xiao, Chao Yang*, Min Li, Efficient alternating least squares algorithms for low multilinear rank approximation of tensors, Journal of Scientific Computing, 2021.
- Ling Tang, Chuanfu Xiao, Hanyu Li*, A new random perturbation interval of symmetric eigenvalue problem, Linear and Multilinear Algebra, 2021.
- Chuanfu Xiao, Hanyu Li*, Improved perturbation intervals of symmetric eigenvalue problem, Linear Algebra and its Applications, 2018.
- Chuanfu Xiao, Hanyu Li*, New perturbation bounds of partitioned generalized Hermitian eigenvalue problem, Applied Mathematics and Computation, 2018.
Talks and Activities
- HOSCF: Efficient decoupling algorithms for finding the best rank-one approximation of higher-order tensors, CSIAM Annual Meeting, Oct. 2024, Nanjing.
- A novel accuracy preserved tensor-train method for solving the Boltzmann-BGK equation, CSIAM Annual Meeting, Oct. 2023, Kuning.
- Research on low-rank approximation problem of data streams based on tensor method, Huawei Technology Forum, Aug. 2022, Chengdu.
- A general quantum simulator based on the subspace-CP format, Beijing Computational Mathematics Postgraduate Forum, Sep. 2021, Beijing.
- 2019 Gene Golub SIAM Summer School (G2S3): High Performance Data Analytics, Jul. 2019, Lyon.
- International Summer School on Scientific Computing: Nonlinear Eigenvalue Computation Methods, Jul. 2017, Beijing.
Honors and Awards
- AI for Science Contest of Guangdong-Hong Kong-Macao Great Bay Area, Second prize, 2023.
- Qin-Jin Scholarship, 2021.
- PKU Excellent Research Award, 2021.
- Chongqing Excellent Graduation Thesis, 2018.
- CQU Outstanding Master’s Thesis, 2018.
- National Master’s Scholarship, 2018.
- Second Prize in the 6th National College Mathematics Competition, 2015.