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2020 – today
- 2024
[j13]Liling Zeng
, Huanling Hu, Huajun Tang, Xuejing Zhang, Dabin Zhang:
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model. Appl. Soft Comput. 157: 111543 (2024)- [j12]Dabin Zhang, Zehui Yu, Liwen Ling, Huanling Hu, Ruibin Lin:
A combined framework for carbon emissions prediction integrating online search attention. J. Intell. Fuzzy Syst. 46(4): 11153-11168 (2024) - [j11]Dabin Zhang, Xuejing Zhang, Huanling Hu, Boting Zhang, Liwen Ling:
A hybrid model for point and interval forecasting of agricultural price based on the decomposition-ensemble and KDE. Soft Comput. 28(17-18): 10153-10176 (2024) - [c5]Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao:
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. IJCAI 2024: 2533-2541 - 2023
- [j10]Liling Zeng, Liwen Ling, Dabin Zhang, Wentao Jiang:
Optimal forecast combination based on PSO-CS approach for daily agricultural future prices forecasting. Appl. Soft Comput. 132: 109833 (2023) - [j9]Dabin Zhang, Ruibin Lin, Tingting Wei, Liwen Ling, Junjie Huang:
A novel deep transfer learning framework with adversarial domain adaptation: application to financial time-series forecasting. Neural Comput. Appl. 35(34): 24037-24054 (2023) - [j8]Wentao Jiang, Liwen Ling, Dabin Zhang, Ruibin Lin, Liling Zeng:
A Time Series Forecasting Model Selection Framework using CNN and Data Augmentation for Small Sample Data. Neural Process. Lett. 55(5): 5783-5810 (2023) - [j7]Wentao Jiang, Dabin Zhang, Liwen Ling, Guotao Cai, Liling Zeng:
Time series to imaging-based deep learning model for detecting abnormal fluctuation in agriculture product price. Soft Comput. 27(20): 14673-14688 (2023) - [c4]Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen:
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. IJCAI 2023: 2441-2449 - 2022
- [j6]Wentao Jiang, Dabin Zhang, Liwen Ling, Ruibin Lin:
Time Series Classification Based on Image Transformation Using Feature Fusion Strategy. Neural Process. Lett. 54(5): 3727-3748 (2022) - [c3]Ruibin Lin, Dabin Zhang, Liwen Ling, Junjie Huang, Guotao Cai:
Transfer Learning Based Long Short-Term Memory Network for Financial Time Series Forecasting. ICONIP (6) 2022: 3-13 - 2020
- [j5]Dabin Zhang, Shanying Chen, Ling Liwen, Qiang Xia:
Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons. IEEE Access 8: 28197-28209 (2020) - [j4]Fei Tang, Dabin Zhang, Tie Cai, Qin Li:
Regression Based Clustering by Deep Adversarial Learning. IEEE Access 8: 146744-146753 (2020)
2010 – 2019
- 2019
- [c2]Nanyu Sun, Xianjie Mo, Tingting Wei, Dabin Zhang, Wei Luo:
The Effectiveness of Noise in Data Augmentation for Fine-Grained Image Classification. ACPR (1) 2019: 779-792 - 2012
- [j3]Xianjun Shen, Yanan Li, Caixia Chen, Jincai Yang, Dabin Zhang:
Greedy continuous particle swarm optimisation algorithm for the knapsack problems. Int. J. Comput. Appl. Technol. 44(2): 137-144 (2012) - [c1]Dabin Zhang, Ying Sun, Zhenlei Zhong:
Simulation of the Incentive Mechanism for Knowledge Sharing between Employees Based on the Organization Design. BIFE 2012: 89-92 - 2010
- [j2]Dabin Zhang, Lean Yu, Shouyang Wang, Haibin Xie:
Neural network methods for forecasting turning points in economic time series: an asymmetric verification to business cycles. Frontiers Comput. Sci. China 4(2): 254-262 (2010)
2000 – 2009
- 2009
- [j1]Dabin Zhang, Lean Yu, Shouyang Wang, Yingwen Song:
A novel PPGA-based clustering analysis method for business cycle indicator selection. Frontiers Comput. Sci. China 3(2): 217-225 (2009)
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