Haiming Ye - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Interpretable deep learning based text regression for financial predictionRufeng Liang, Weiwen Zhang, Haiming Ye. es, 40(9), November 2023. [doi]

2022

Diverse and High-Quality Data Augmentation Using GPT for Named Entity RecognitionHuanlei Chen, Weiwen Zhang, Lianglun Cheng, Haiming Ye. iconip 2023: 272-283 [doi]

Accurate workload prediction for edge data centers: Savitzky-Golay filter, CNN and BiLSTM with attention mechanismLei Chen, Weiwen Zhang, Haiming Ye. apin, 52(11):13027-13042, 2022. [doi]

RMAN: Relational multi-head attention neural network for joint extraction of entities and relationsTaiqu Lai, Lianglun Cheng, Depei Wang, Haiming Ye, Weiwen Zhang. apin, 52(3):3132-3142, 2022. [doi]

Chinese NER with High-Level Features in Specific DomainMengna Nie, Lianglun Cheng, Haiming Ye, Weiwen Zhang. icmlc2 2022: 146-152 [doi]

An Improved Semi-supervised Variational Autoencoder with Gate Mechanism for Text ClassificationHaiming Ye, Weiwen Zhang, Mengna Nie. ijprai, 36(10), 2022. [doi]

2021

Efficient Domain-Specific News Push Service Using Deep Learning Based Text Regression without Users' InformationHaiming Ye, Weiwen Zhang, Mengna Nie, Depei Wang, Lianglun Cheng. icmlc2 2021: 8-13 [doi]

2017

Influences of ambient temperature, charge density on wettability properties of monolayer MoS2 filmsHaiming Ye, Meiwen Zhao, Minglin Li, Weidong Wang. nems 2017: 595-598 [doi]

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