activity
20222025
most citedMolecule optimization via multi-objective evolutionary in implicit chemical space

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

An Enhanced Pyramid Feature Network Based on Long-Range Dependencies for Multi-Organ Medical Image Segmentation

Dayu Tan, Cheng Kong, Yansen Su +4

In the field of multi-organ medical image segmentation, recent methods frequently employ Transformers to capture long-range dependencies from image features. However, these methods…

cs.CV2025

HiPerformer: A High-Performance Global-Local Segmentation Model with Modular Hierarchical Fusion Strategy

Dayu Tan, Zhenpeng Xu, Yansen Su +3

Both local details and global context are crucial in medical image segmentation, and effectively integrating them is essential for achieving high accuracy. However, existing mainst…

cs.LG2025

PGCLODA: Prompt-Guided Graph Contrastive Learning for Oligopeptide-Infectious Disease Association Prediction

Dayu Tan, Jing Chen, Xiaoping Zhou +2

Infectious diseases continue to pose a serious threat to public health, underscoring the urgent need for effective computational approaches to screen novel anti-infective agents. O…

physics.chem-ph2024

Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization

Xin Xia, Yajie Zhang, Xiangxiang Zeng +3

Molecular optimization, which aims to discover improved molecules from a vast chemical search space, is a critical step in chemical development. Various artificial intelligence tec…

q-bio.BM2022★ 1 cited

Molecule optimization via multi-objective evolutionary in implicit chemical space

Xin Xia, Yansen Su, Chunhou Zheng +1

Machine learning methods have been used to accelerate the molecule optimization process. However, efficient search for optimized molecules satisfying several properties with scarce…