Haiming Ye

According to our database, Haiming Ye authored at least 8 papers between 2017 and 2023.

Collaborative distances:

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

2023

Interpretable deep learning based text regression for financial prediction.

Rufeng Liang, Weiwen Zhang, Haiming Ye

Expert Syst. J. Knowl. Eng., November, 2023

2022

An Improved Semi-supervised Variational Autoencoder with Gate Mechanism for Text Classification.

Haiming Ye, Weiwen Zhang, Mengna Nie

Int. J. Pattern Recognit. Artif. Intell., 2022

RMAN: Relational multi-head attention neural network for joint extraction of entities and relations.

Taiqu Lai, Lianglun Cheng, Depei Wang, Haiming Ye, Weiwen Zhang

Appl. Intell., 2022

Accurate workload prediction for edge data centers: Savitzky-Golay filter, CNN and BiLSTM with attention mechanism.

Lei Chen, Weiwen Zhang, Haiming Ye

Appl. Intell., 2022

Diverse and High-Quality Data Augmentation Using GPT for Named Entity Recognition.

Huanlei Chen, Weiwen Zhang, Lianglun Cheng, Haiming Ye

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Chinese NER with High-Level Features in Specific Domain.

Mengna Nie, Lianglun Cheng, Haiming Ye, Weiwen Zhang

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

2021

Efficient Domain-Specific News Push Service Using Deep Learning Based Text Regression without Users' Information.

Haiming Ye, Weiwen Zhang, Mengna Nie, Depei Wang, Lianglun Cheng

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

2017

Influences of ambient temperature, charge density on wettability properties of monolayer MoS2 films.

Haiming Ye, Meiwen Zhao, Minglin Li, Weidong Wang

Proceedings of the 12th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2017