Ye Wang

According to our database, Ye Wang authored at least 13 papers between 2022 and 2024.

Collaborative distances:

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

2024

SPMSD: An Partitioning-Strategy for Parallel General Sparse Matrix-Matrix Multiplication on GPU.

Huanyu Cui, Nianbin Wang, Qilong Han, Ye Wang

Parallel Process. Lett., June, 2024

A two-stage parallel method on GPU based on hybrid-compression-format for diagonal matrix.

Huanyu Cui, Nianbin Wang, Qilong Han, Ye Wang, Jiahang Li

Concurr. Comput. Pract. Exp., 2024

Span Graph Based on Contrastive Learning for Nested Named Entity Recognition.

Lijie Li, Fengming Xu, Akshita Maradapu Vera Venkata Sai, Ye Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

Integrating Structure and Text for Enhancing Hyper-relational Knowledge Graph Representation via Structure Soft Prompt Tuning.

Lijie Li, Hui Wang, Jiahang Li, Xiaodi Xu, Ye Wang, Tao Ren

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

An adaptive approach for compression format based on bagging algorithm.

Huanyu Cui, Qilong Han, Nianbin Wang, Ye Wang

Int. J. Parallel Emergent Distributed Syst., September, 2023

Multitask Graph Neural Network for Knowledge Graph Link Prediction.

Ye Wang, Jianhua Yang, Lijie Li, Jian Yao

Proceedings of the Data Science, 2023

GPDCCL: Cross-Domain Named Entity Recognition with Span-Based Domain Confusion Contrastive Learning.

Ye Wang, Chenxiao Shi, Lijie Li, Manyuan Guo

Proceedings of the Data Science, 2023

Type-Augmented Link Prediction Based on Bayesian Formula.

Ye Wang, Enze Luo, Lijie Li, Wenjian Tao

Proceedings of the Data Science, 2023

Link Prediction Based on the Relational Path Inference of Triangular Structures.

Xin Li, Qilong Han, Lijie Li, Ye Wang

Proceedings of the Data Science, 2023

Sequence-Based Modeling for Temporal Knowledge Graph Link Prediction.

Lijie Li, Wenqiang Liu, Zuobin Xiong, Ye Wang

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Exp-SoftLexicon Lattice Model Integrating Radical-Level Features for Chinese NER.

Lijie Li, Shuangyang Hu, Junhao Chen, Ye Wang, Zuobin Xiong

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Self-attention Based Multimodule Fusion Graph Convolution Network for Traffic Flow Prediction.

Lijie Li, Hongyang Shao, Junhao Chen, Ye Wang

Proceedings of the Data Science, 2022

HIAE: Hyper-Relational Interaction Aware Embedding for Link Prediction.

Lijie Li, Peikai Yuan, Ye Wang, Jiahang Li

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022