Dabin Zhang

According to our database, Dabin Zhang authored at least 18 papers between 2009 and 2024.

Collaborative distances:

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

2024

A hybrid model for point and interval forecasting of agricultural price based on the decomposition-ensemble and KDE.

Dabin Zhang, Xuejing Zhang, Huanling Hu, Boting Zhang, Liwen Ling

Soft Comput., September, 2024

A combined framework for carbon emissions prediction integrating online search attention.

Dabin Zhang, Zehui Yu, Liwen Ling, Huanling Hu, Ruibin Lin

J. Intell. Fuzzy Syst., 2024

Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model.

Liling Zeng, Huanling Hu, Huajun Tang, Xuejing Zhang, Dabin Zhang

Appl. Soft Comput., 2024

Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names.

Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

A novel deep transfer learning framework with adversarial domain adaptation: application to financial time-series forecasting.

Dabin Zhang, Ruibin Lin, Tingting Wei, Liwen Ling, Junjie Huang

Neural Comput. Appl., December, 2023

Time series to imaging-based deep learning model for detecting abnormal fluctuation in agriculture product price.

Wentao Jiang, Dabin Zhang, Liwen Ling, Guotao Cai, Liling Zeng

Soft Comput., October, 2023

A Time Series Forecasting Model Selection Framework using CNN and Data Augmentation for Small Sample Data.

Wentao Jiang, Liwen Ling, Dabin Zhang, Ruibin Lin, Liling Zeng

Neural Process. Lett., October, 2023

Optimal forecast combination based on PSO-CS approach for daily agricultural future prices forecasting.

Liling Zeng, Liwen Ling, Dabin Zhang, Wentao Jiang

Appl. Soft Comput., 2023

Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information.

Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Time Series Classification Based on Image Transformation Using Feature Fusion Strategy.

Wentao Jiang, Dabin Zhang, Liwen Ling, Ruibin Lin

Neural Process. Lett., 2022

Transfer Learning Based Long Short-Term Memory Network for Financial Time Series Forecasting.

Ruibin Lin, Dabin Zhang, Liwen Ling, Junjie Huang, Guotao Cai

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

2020

Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons.

Dabin Zhang, Shanying Chen, Ling Liwen, Qiang Xia

IEEE Access, 2020

Regression Based Clustering by Deep Adversarial Learning.

Fei Tang, Dabin Zhang, Tie Cai, Qin Li

IEEE Access, 2020

2019

The Effectiveness of Noise in Data Augmentation for Fine-Grained Image Classification.

Nanyu Sun, Xianjie Mo, Tingting Wei, Dabin Zhang, Wei Luo

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2012

Greedy continuous particle swarm optimisation algorithm for the knapsack problems.

Xianjun Shen, Yanan Li, Caixia Chen, Jincai Yang, Dabin Zhang

Int. J. Comput. Appl. Technol., 2012

Simulation of the Incentive Mechanism for Knowledge Sharing between Employees Based on the Organization Design.

Dabin Zhang, Ying Sun, Zhenlei Zhong

Proceedings of the Fifth International Conference on Business Intelligence and Financial Engineering, 2012

2010

Neural network methods for forecasting turning points in economic time series: an asymmetric verification to business cycles.

Dabin Zhang, Lean Yu, Shouyang Wang, Haibin Xie

Frontiers Comput. Sci. China, 2010

2009

A novel PPGA-based clustering analysis method for business cycle indicator selection.

Dabin Zhang, Lean Yu, Shouyang Wang, Yingwen Song

Frontiers Comput. Sci. China, 2009