Penglei Wang

According to our database, Penglei Wang authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Enhance Before Fusion: Multi-View Graph Clustering With Graph Trend Filter.

Penglei Wang, Jitao Lu, Danyang Wu, Rong Wang, Feiping Nie

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

Multi-View Graph Clustering via Dual View-Cluster-Order Interactivity Mining.

Junjie Liang, Xia Dong, Penglei Wang, Jin Xu, Danyang Wu, Feiping Nie

IEEE Trans. Circuits Syst. Video Technol., January, 2026

EvoEGF-Mol: Evolving Exponential Geodesic Flow for Structure-based Drug Design.

Yaowei Jin, Junjie Wang, Cheng Cao, Penglei Wang, Duo An, Qian Shi

CoRR, January, 2026

Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model.

Qi Si, Xuyang Liu, Penglei Wang, Xin Guo, Yuan Qi, Yuan Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Triangle Topology Enhancement for Multi-View Graph Clustering.

Danyang Wu, Penglei Wang, Jitao Lu, Zhanxuan Hu, Hongming Zhang, Feiping Nie

IEEE Trans. Knowl. Data Eng., July, 2025

Object detection of mural images based on improved YOLOv8.

Penglei Wang, Xin Fan, Qimeng Yang, Shengwei Tian, Long Yu

Multim. Syst., February, 2025

Comprehensive Information Extraction With Separable Representation Learning for Multi-View Clustering.

Penglei Wang, Danyang Wu, Jin Xu, Feiping Nie

IEEE Trans. Circuits Syst. Video Technol., 2025

Cluster-Aware Contrastive Multi-View Clustering Based on Masked Views.

Penglei Wang, Ziming Quan, Danyang Wu, Jin Xu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Unsupervised Cross-view Message Passing Method for Multi-view Graph Clustering.

Ziming Quan, Penglei Wang, Danyang Wu, Jin Xu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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