Haz Sameen Shahgir on Muck Rack

Haz Sameen Shahgir

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Computer Science > Cryptography and Security

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By Haz Sameen Shahgir, N. Benjamin Erichson, Zhipeng Wei
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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RNA-DCGen: Dual Constrained RNA Sequence Generation with LLM-Attack

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By Haz Sameen Shahgir, Toki Tahmid, Atif Rahman, Khondker Salman Sayeed
| biorxiv.org
Abstract Designing RNA sequences with specific properties is critical for developing personalized medications and therapeutics. While recent diffusion and flow-matching-based generative models have made strides in conditional sequence design, they face two key limitations: specialization for fixed constraint types, such as tertiary structures, and lack of flexibility in imposing additional conditions beyond the primary property of interest.
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BiRNA-BERT Allows Efficient RNA Language Modeling with Adaptive Tokenization

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By Toki Tahmid, Sazan Mahbub, Yue Dong, Haz Sameen Shahgir
| biorxiv.org
Abstract Recent advancements in Transformer-based models have spurred interest in their use for biological sequence analysis. However, adapting models like BERT is challenging due to sequence length, often requiring truncation for proteomics and genomics tasks.
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