Penglei Wang

According to our database, Penglei Wang authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering.

Xiaojun Yang, Tuoji Zhu, Danyang Wu, Penglei Wang, Yujia Liu, Feiping Nie

IEEE Trans. Knowl. Data Eng., November, 2024

Multi-View and Multi-Order Structured Graph Learning.

Rong Wang, Penglei Wang, Danyang Wu, Zhensheng Sun, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering.

Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, Rong Wang, Feiping Nie

IEEE Trans. Signal Process., 2024

AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design.

Xinze Li, Penglei Wang, Tianfan Fu, Wenhao Gao, Chengtao Li, Leilei Shi, Junhong Liu

CoRR, 2024

2023

Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion.

Penglei Wang, Danyang Wu, Rong Wang, Feiping Nie

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction.

Penglei Wang, Shuangjia Zheng, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian, Hongming Chen, Yuedong Yang

J. Chem. Inf. Model., 2022

2021

SWnet: a deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures.

Zhaorui Zuo, Penglei Wang, Xiaowei Chen, Li Tian, Hui Ge, Dahong Qian

BMC Bioinform., 2021

Enhanced Rotated Mask R-CNN for Chromosome Segmentation.

Penglei Wang, Wenjing Hu, Jiping Zhang, Yaofeng Wen, Chenming Xu, Dahong Qian

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021