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Xinye Chen | CMath

Independent Researcher

Email: xinyechenai@gmail.com & xinye.chen@lip6.fr

Researcher
Sorbonne University, LIP6, CNRS

Researcher
Department of Numerical Mathematics
Univerzita Karlova

PhD in Applied Mathematics
The University of Manchester
Supervisors: Prof. Stefan Güttel & Prof. Nick Higham

Laboratoire LIP6
Sorbonne Université
4 place Jussieu, 75252 Paris CEDEX 05, France

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Research Interest

  • Scientific Computing
  • Algorithm Design and Analysis
  • Machine Learning
  • High Performance Computing

Software

CUDA

  • blrmat

    A library implemented in C++ and CUDA for Block Low-Rank (BLR) matrices and solvers

  • cusnn

    Fast and exact SNN-based fixed-radius neighbor search with CUDA

  • euclid-cuda

    The CUDA code for mixed-precision Euclidean distance

C++

Python

MATLAB

  • mhodlr

    Matrix computations with HODLR representation and mixed-precision simulations

Julia

Publications & Preprints

* indicates alphabetical author order.

Preprints

  • Automated numerical stability analysis of deep learning operators Xinye Chen, 2026 arXiv preprint
  • Estimating condition number with graph neural networks *Erin Carson, *Xinye Chen, 2026 arXiv preprint
  • Precision autotuning for linear solvers via contextual bandit-based RL *Erin Carson, *Xinye Chen, 2026 arXiv preprint
  • QABBA: Symbolic time-series compression via integer-quantized aggregation *Erin Carson, *Xinye Chen, *Fei He, *Cheng Kang, 2026 arXiv preprint
  • Computing k-means in mixed precision *Erin Carson, *Xinye Chen, *Xiaobo Liu, 2024 arXiv preprint

Journal Papers

  • Floating-point autotuning with customized precisions Xinye Chen, Thibault Hilaire, Fabienne Jézéquel, 2026 ACM Transactions on Mathematical Software (TOMS) · Accepted
  • CLASSIX: A high-performance library for explainable clustering Xinye Chen, Stefan Güttel, Kaustubh Roy, 2026 Journal of Machine Learning Research (JMLR) · Accepted
  • pychop: Emulating low-precision arithmetic in numerical methods and neural networks Erin Carson, *Xinye Chen, 2026 ACM Transactions on Mathematical Software (TOMS) · Accepted
  • LLM-ABBA: Understanding time series via symbolic approximation Xinye Chen, Erin Carson, Cheng Kang, 2026 IEEE Transactions on Signal Processing
  • Mixed precision HODLR matrices *Erin Carson, *Xinye Chen, *Xiaobo Liu, 2025 SIAM Journal on Scientific Computing
  • fABBA: A Python library for the fast symbolic approximation of time series *Xinye Chen, *Stefan Güttel, 2024 Journal of Open Source Software (JOSS)
  • Fast and exact fixed-radius neighbor search based on sorting *Xinye Chen, *Stefan Güttel, 2024 PeerJ Computer Science
  • Fast and explainable clustering based on sorting *Xinye Chen, *Stefan Güttel, 2024 Pattern Recognition
  • An efficient aggregation method for the symbolic representation of temporal data *Xinye Chen, *Stefan Güttel, 2023 ACM Transactions on Knowledge Discovery from Data (TKDD)

Conference Papers

  • A parallel two-stage approach for joint symbolic approximation of time series Xinye Chen, 2026 19th International Symposium on High-Level Parallel Programming and Applications (HLPP)
  • Using Laplace transform to optimize the hallucination of generation models Cheng Kang, Xinye Chen, Daniel Novak, Xujing Yao, 2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV)
  • A fast sorting-based aggregation method for symbolic time series representation *Xinye Chen, *Stefan Güttel, 2021 IEEE International Conference on Data Mining Workshops (ICDMW)
  • Digital-twin-based online parameter personalization for implantable cardiac defibrillators Mincai Lai, Haochen Yang, Jicheng Gu, Xinye Chen, Zhihao Jiang, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • A comparison of LSTM and GRU networks for learning symbolic sequences *Roberto Cahuantzi, *Xinye Chen, *Stefan Güttel, 2023 Intelligent Computing · Springer Lecture Notes in Networks and Systems

Technical Reports

  • Understanding spectral graph neural network Xinye Chen, 2020 arXiv technical report
  • Quantized embedding vectors for controllable diffusion language models Cheng Kang, Xinye Chen, Yong Hu, Daniel Novak, 2024 arXiv technical report

Contributed Talk and Poster

Teaching

  • MATH20602: Numerical Analysis 1 - Tutorial, 2nd Semester 2021 -- 2022
  • MATH10202: Linear Algebra A - Tutorial (temporary), 2nd Semester 2021 -- 2022
  • MATH19661: Mathematics 1M1 - Tutorial (temporary), 1st Semester 2021 -- 2022
  • MATH49111: Scientific computing - Tutorial, 1st Semester 2021 -- 2022
  • MATH10222: Calculus and Applications - Supervision, 2nd Semester 2020 -- 2021
  • MATH20621: Programming with Python - Tutorial, 1st Semester 2020 -- 2021

Organization

Professional Qualifications

Academic & Professional Service