Author

Tiantian Zhu

Shenzhen UniversityORCID 0000-0001-9017-6680Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Zexuan ZhuiD· 2 shared Haohua Song· 1 shared Jun Zhang· 1 shared Wenbin Guo· 1 shared Wenhao GuiD· 1 shared Yang XiaoiD· 1 shared Yangyang ZhouiD· 1 shared Yunwen Yu· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Zexuan ZhuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 11, 2025

Dual-LLM Adversarial Framework for Information Extraction from Research Literature

Zhijing Li, Yunwen Yu, Wenhao Gu…·Zexuan Zhu

The paper introduces a dual-LLM adversarial framework to improve information extraction from scientific texts, showing better performance than single-LLM and manual methods.

DOI 10.1101/2025.09.11.675507

deep learningmachine learning (classical)

BioinformaticsbioRxivPreprintSep 1, 2025

PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation

Jun Zhang, Yangyang Zhou, Tiantian Zhu, Zexuan Zhu

PepCCD generates target-specific peptides using a contrastive conditioned diffusion framework, achieving strong binding affinity and improved diversity compared to existing methods.

1 citation

proteomicscontrastive learning