Dabin Zhang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 12

Top Topics

Transfer Learning

Forecasting Model

Model Selection

Domain Adaptation

Top Venues

Neural Process. Lett.

Appl. Soft Comput.

Publications

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 (2024)
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) (2024)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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)
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)
Wentao Jiang, Dabin Zhang, Liwen Ling, Ruibin Lin
Time Series Classification Based on Image Transformation Using Feature Fusion Strategy. Neural Process. Lett. 54 (5) (2022)
Fei Tang, Dabin Zhang, Tie Cai, Qin Li
Regression Based Clustering by Deep Adversarial Learning. IEEE Access 8 (2020)
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 (2020)
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)
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) (2012)
Dabin Zhang, Ying Sun, Zhenlei Zhong
Simulation of the Incentive Mechanism for Knowledge Sharing between Employees Based on the Organization Design. BIFE (2012)
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) (2010)
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) (2009)