2025-2026 刊物

• 2026
  • X. Chen, S. Guettel, M. Mozaffari : “ROTE: Benchmarking Neural Memorization on Complexity-Controlled Symbolic Sequences”, (2026)
  • E. Carson, X. Chen, F. He, Ch. Kang : “QABBA: Symbolic Time Series Compression via Integer-Quantized Aggregation”, (2026)
  • X. Chen : “Automated Numerical Stability Analysis of Deep Learning Operators”, (2026)
  • X. Chen : “From Signals to Symbols: Enabling LLM-based Automation for Time Series Analysis”, Workshop on LLM-Driven Code Generation and Automation for HPC and Scientific Computing, Paris, France (2026)
  • X. Chen, Th. Hilaire, F. Jézéquel : “Floating-point autotuning with customized precisions”, (2026)
  • X. Chen, Th. Hilaire, F. Jézéquel : “Automated Precision Tuning for Numerical Algorithms”, 27^th Conference of the International Linear Algebra Society, Blacksburg, United States (2026)
  • X. Chen, Th. Hilaire, F. Jézéquel : “Floating-point autotuning with customized precisions: benchmarking and analysis”, SIAM Conference on Parallel Processing for Scientific Computing (PP26), Berlin, Germany (2026)
  • X. Chen, E. Carson, Ch. Kang : “LLM-ABBA: Understanding time series via symbolic approximation”, IEEE Transactions on Signal Processing, vol. 74, pp. 1218-1232, (Institute of Electrical and Electronics Engineers) (2026)
• 2025
  • X. Chen, Th. Hilaire, F. Jézéquel : “PROMISE: Floating-point Autotuning with Customized Precisions”, Workshop on Approximate Computing in Numerical Linear Algebra, Paris, France (2025)
  • E. Carson, X. Chen, X. Liu : “Mixed-Precision HODLR Matrices: Algorithms and Software Overview”, (2025)
  • E. Carson, X. Chen, X. Liu : “MIXED PRECISION HODLR MATRICES”, SIAM Journal on Scientific Computing, vol. 47 (3), pp. a1408-a1435, (Society for Industrial and Applied Mathematics) (2025)