Kun Li

Orcid: 0000-0002-7002-234X

Affiliations:
  • Wuhan University, School of Computer Science, China


According to our database1, Kun Li authored at least 18 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PCEvo: Path-Consistent Molecular Representation via Virtual Evolutionary.
CoRR, January, 2026

Text-guided multi-property molecular optimization with a diffusion language model.
Inf. Fusion, 2026

Sequence-Free for Compound Protein Interaction Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Can Molecular Evolution Mechanism Enhance Molecular Representation?
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
FP-AbDiff: Improving Score-based Antibody Design by Capturing Nonequilibrium Dynamics through the Underlying Fokker-Planck Equation.
CoRR, November, 2025

BSL: A Unified and Generalizable Multitask Learning Platform for Virtual Drug Discovery from Design to Synthesis.
CoRR, August, 2025

Small Molecule Drug Discovery Through Deep Learning:Progress, Challenges, and Opportunities.
CoRR, February, 2025

Can Molecular Evolution Mechanism Enhance Molecular Representation?
CoRR, January, 2025

Graph-Structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities.
Proceedings of the IEEE International Conference on Web Services, 2025

Collaborative Drug Design Based on A Drug-Drug Interaction-Guided Diffusion Model.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024
Text-Guided Multi-Property Molecular Optimization with a Diffusion Language Model.
CoRR, 2024

Fragment-Masked Molecular Optimization.
CoRR, 2024

Regressor-free Molecule Generation to Support Drug Response Prediction.
CoRR, 2024

Contrastive Learning Drug Response Models from Natural Language Supervision.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Zero-shot Learning for Preclinical Drug Screening.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
CLDR: Contrastive Learning Drug Response Models from Natural Language Supervision.
CoRR, 2023

Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening.
CoRR, 2023

2022
TransEDRP: Dual Transformer model with Edge Emdedded for Drug Respond Prediction.
CoRR, 2022


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