Author

Haoran Jin

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#artificial intelligence Preprint Sep 2026

Precision As You Need: Stochastic Computing Is a Dense Adaptive Quantizer

This work builds a GPU library that emulates SC matrix multiplication at scale, exposes stream lengths as first-class kernel arguments, and evaluates SC end-to-end on image classification, object detection and instance segmentation, class-conditional image generation, and visual world-model planning.

Hao-Ran Jin, Kang-Qi Zhang, Ji-Rong Yang et al. · 0 citations

Preprint Aug 2026

Rethinking Agentic Kernel Generation for Emerging Accelerators

Results show that a compiler-defined symbolic interface turns native kernel synthesis into verified design-space exploration: compiler infrastructure preserves legality and correctness, while neural guidance improves workload-specific performance with lower search cost and complete coverage.

Ruijie Gao, Ji-Rong Yang, B. Lyu et al. · 0 citations