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)

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)

Simulation of the Incentive Mechanism for Knowledge Sharing between Employees Based on the Organization Design. - Dabin Zhang; Ying Sun; Zhenlei Zhong (BIFE, 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)

The Effectiveness of Noise in Data Augmentation for Fine-Grained Image Classification. - Nanyu Sun; Xianjie Mo; Tingting Wei; Dabin Zhang; Wei Luo 006 (ACPR (1), 2019)

Regression Based Clustering by Deep Adversarial Learning. - Fei Tang; Dabin Zhang; Tie Cai; Qin Li 001 (IEEE Access, 2020)

Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons. - Dabin Zhang; Shanying Chen; Ling Liwen; Qiang Xia 001 (IEEE Access, 2020)

Transfer Learning Based Long Short-Term Memory Network for Financial Time Series Forecasting. - Ruibin Lin; Dabin Zhang; Liwen Ling; Junjie Huang; Guotao Cai (ICONIP (6), 2022)

Time Series Classification Based on Image Transformation Using Feature Fusion Strategy. - Wentao Jiang; Dabin Zhang; Liwen Ling; Ruibin Lin (Neural Process. Lett., 2022)

Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. - Dabin Zhang; Ronghui Xu 001; Weiming Huang 001; Kai Zhao; Meng Chen 003 (IJCAI, 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)

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., 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., 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., 2023)

Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. - Dabin Zhang; Meng Chen 003; Weiming Huang 001; Yongshun Gong; Kai Zhao (IJCAI, 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)

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)

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., 2024)

Center-Symmetry Representation-Based High-Quality Localization Detector for Oriented Object Detection. - Qin Wu; Dabin Zhang; Yuying Pan; Haojie Zhou (IEEE Trans. Geosci. Remote. Sens., 2025)

A text-based framework for carbon price forecasting via multivariate temporal graph neural network. - Dabin Zhang; Zehui Yu; Zhimei Zeng; Boting Zhang; Ruibin Lin; Huanling Hu (J. Supercomput., 2025)