Author

Feng-Rui Zuo

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#machine learning Jan 2026

Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching

The token-level analysis reveals pronounced structural locality in DLM inference, and proposes a window-based token pruning and caching method for inference that achieves up to $99\times inference speedup while largely preserving generation performance.

Feng-Rui Zuo, Zhiwei Ke, Yi-Ming Liu et al. · Advanced Parallel Programmin... · 3 citations

Open access Jul 2026

Realizable N:M Sparse Transformer Inference via Search-Kernel Co-design

This work designs MD-SpMM, an N:M sparse CUDA kernel that reorganizes sparse GEMM into micro-dense, Tensor-Core-aligned dataflow and uses inference-aware adaptive parallelism to sustain utilization and performs layer-wise sparsity search under explicit end-to-end latency budgets.

Yi-Ming Liu, Wenqi Lou, Zhiguang Wang et al. · European Conference on Paral... · 0 citations