Author

Bin Cui

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Preprint Sep 2026

SparkDiffusion: Mitigating the High-Sparsity Trap --- A Unified Framework for up to $265\times$ Single-GPU Acceleration of Visual Generation

This work identifies the high-sparsity trap, a unified acceleration framework for visual generation that combines a short sparse warm-up, few-step trajectory-mixed distillation, and FP8 quantization with fused kernels, and sustains attention sparsity with strong visual quality on long-sequence 720P generation across Wa...

Yu-Xi Liu, Hao-Yu Li, Ze-Kun Zhang et al. · 0 citations

Preprint Jul 2026

CoDiffGRN: Rethinking Gene Regulatory Network Inference via the BEELINE-KGC Benchmark and Co-evolutionary Discrete Diffusion

This work reformulates GRN inference as an inductive, ranking-centric graph completion problem and introduces the Benchmark, a new benchmark that incorporates an inductive gene-holdout split together with knowledge graph completion metrics to better evaluate top-ranked predictions.

Jiaze Song, Runhao Zhao, Minghao Xu et al. · 0 citations