Author

Zhiyuan Ning

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Preprint Aug 2026

FeedbackTrack: Visual-Cortex-Inspired Cross-Frame Feedback for Transformer Tracking

Visual object tracking requires effective temporal integration, yet most Transformer trackers still rely on predominantly feed-forward feature extraction. Existing temporal mechanisms typically update templates, prompts, queries, or prediction states, while intermediate representations are rarely reused to modulate cor...

Yueyang Cang, Xiao-Teng Zhang, Zhiyuan Ning et al. · 0 citations

Jul 2026

Recall Before You Rank: Similarity-Guided Top-K Reuse for Efficient Long-Context Attention

ReTopK is a training-free method that accelerates dynamic Top-$K$ attention by reusing historical retrieval decisions and retains the complete KV cache and reuses only selected indices, rather than historical scores, attention weights, or outputs.

Wen-Shuai Yao, Wen-Yong Zhou, Hanyong Shao et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Aug 2026

Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding

Faster Flash Decoding (FFD) is presented, a novel hardware-algorithm co-design framework designed to break the memory wall in long-context decoding and introduces the top-delta strategy, which dynamically filters blocks to achieve distribution-adaptive sparsity without global synchronization.

Zhigeng Liu, Zhiyuan Ning, Rui-Xiao Li et al. · 4 citations