Yang Tan

Orcid: 0009-0004-7261-1705

Affiliations:
  • East China University of Science and Technology, School of Information Science and Engineering, Shanghai, China


According to our database1, Yang Tan authored at least 18 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering.
CoRR, May, 2025

VenusX: Unlocking Fine-Grained Functional Understanding of Proteins.
CoRR, May, 2025

VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning.
CoRR, March, 2025

Graph with Residue-Based Cross-Modal Framework Enhances Cell Function-Related Protein Properties Prediction.
J. Chem. Inf. Model., 2025

Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications.
J. Cheminformatics, December, 2024

Protein Engineering with Lightweight Graph Denoising Neural Networks.
J. Chem. Inf. Model., 2024

Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models.
J. Chem. Inf. Model., 2024

Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model.
CoRR, 2024

CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin Evaluation.
CoRR, 2024

A PLMs based protein retrieval framework.
CoRR, 2024

MedChatZH: A tuning LLM for traditional Chinese medicine consultations.
Comput. Biol. Medicine, 2024

ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PROTSOLM: Protein Solubility Prediction with Multi-modal Features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
MedChatZH: a Better Medical Adviser Learns from Better Instructions.
CoRR, 2023

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction.
CoRR, 2023


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