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Hang Qin

2 accepted papers

2026

QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation

AAAI 2026technical

Developing high-performance GPU kernels is critical for AI and scientific computing, but remains challenging due to its reliance on expert crafting and poor portability. While large language models (LLMs) offer promise for automation, both general-purpose and finetuned LLMs suffer from two fundament

Cited by 0SourcePDFScholar
2025

iDANSE: Iterative Data-driven Nonlinear State Estimation of Model-free Hidden Sequences

ICASSP 2025accepted

We introduce a model-free hidden sequence (MHS) estimation problem where the task is to estimate a long sequence of ‘model-free’ process hidden under additive Gaussian noise. To estimate the posterior of the hidden sequence from the noisy observation sequence, we have three main challenges: (a) the…

Cited by 0SourceScholar