7 citations · 8 across the 5 of their papers we have counts for
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cs.CE2026
Unlocking Multimodal Protein Language Models at Inference Time
Yi Zhou, Qipeng Wang, Yunqing Liu +3
Multimodal protein language models (pLMs) learn joint protein sequence-structure distributions, and their generation performance should also depend critically on inference-time sam…
cs.CE2025
HD-Prot: A Protein Language Model for Joint Sequence-Structure Modeling with Continuous Structure Tokens
Yi Zhou, Haohao Qu, Yunqing Liu +3
Proteins inherently possess a consistent sequence-structure duality. The abundance of protein sequence data, which can be readily represented as discrete tokens, has driven fruitfu…
cs.CE2025★ 7 cited
Computational Protein Science in the Era of Large Language Models (LLMs)
Wenqi Fan, Yi Zhou, Shijie Wang +5
Considering the significance of proteins, computational protein science has always been a critical scientific field, dedicated to revealing knowledge and developing applications wi…