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2020 – today
- 2023
[j4]Rufeng Liang, Weiwen Zhang
, Haiming Ye:
Interpretable deep learning based text regression for financial prediction. Expert Syst. J. Knowl. Eng. 40(9) (2023)- 2022
- [j3]Taiqu Lai, Lianglun Cheng, Depei Wang, Haiming Ye, Weiwen Zhang:
RMAN: Relational multi-head attention neural network for joint extraction of entities and relations. Appl. Intell. 52(3): 3132-3142 (2022) - [j2]Lei Chen, Weiwen Zhang, Haiming Ye:
Accurate workload prediction for edge data centers: Savitzky-Golay filter, CNN and BiLSTM with attention mechanism. Appl. Intell. 52(11): 13027-13042 (2022) - [j1]Haiming Ye, Weiwen Zhang, Mengna Nie:
An Improved Semi-supervised Variational Autoencoder with Gate Mechanism for Text Classification. Int. J. Pattern Recognit. Artif. Intell. 36(10): 2253006:1-2253006:21 (2022) - [c4]Mengna Nie, Lianglun Cheng, Haiming Ye, Weiwen Zhang:
Chinese NER with High-Level Features in Specific Domain. ICMLC 2022: 146-152 - [c3]Huanlei Chen, Weiwen Zhang, Lianglun Cheng, Haiming Ye:
Diverse and High-Quality Data Augmentation Using GPT for Named Entity Recognition. ICONIP (7) 2022: 272-283 - 2021
- [c2]Haiming Ye, Weiwen Zhang, Mengna Nie, Depei Wang, Lianglun Cheng:
Efficient Domain-Specific News Push Service Using Deep Learning Based Text Regression without Users' Information. ICMLC 2021: 8-13
2010 – 2019
- 2017
- [c1]Haiming Ye, Meiwen Zhao, Minglin Li, Weidong Wang:
Influences of ambient temperature, charge density on wettability properties of monolayer MoS2 films. NEMS 2017: 595-598
Coauthor Index
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