Author

M. Hasan

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#computer vision Preprint Sep 2026

ChainDoRA: Tensor-Train Factorized Weight-Decomposed Low-Rank Adaptation for Parameter-Efficient LLM Fine-Tuning

ChainDoRA is proposed, a weight-decomposed adaptation framework that constructs the directional low-rank factors from a connected Tensor-Train (TT) chain, where the adapter rank forms the boundary rank between input- and output-side TT contractions and an independent TT rank controls representation capacity and paramet...

Ashfak Yeafi, M. Hasan, Md Khairul Islam · 0 citations

#artificial intelligence Preprint Sep 2026

TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and Trustworthy Pathology Foundation Models

Pathology foundation models improve transferable representation learning for histopathology, but recent gains often rely on encoders with hundreds of millions of parameters and high inference cost. We propose TAP-Path, a task-adaptive compression framework that directly restructures a pretrained Virchow2 encoder rather...

M. Hasan, Ashfak Yeafi, Md Khairul Islam · 0 citations