Two-stage image smoothing based on edge-patch histogram equalisation and patch decomposition. - Yepeng Liu; Xiang Ma 006; Xuemei Li 001; Caiming Zhang 001 (IET Image Process., 2020)

Image smoothing based on global sparsity decomposition and a variable parameter. - Xiang Ma 006; Xuemei Li 001; Yuanfeng Zhou; Caiming Zhang 001 (Comput. Vis. Media, 2021)

A hierarchical attention network for stock prediction based on attentive multi-view news learning. - Xingtong Chen; Xiang Ma 006; Hua Wang 012; Xuemei Li 001; Caiming Zhang 001 (Neurocomputing, 2022)

Fuzzy hypergraph network for recommending top-K profitable stocks. - Xiang Ma 006; Tianlong Zhao; Qiang Guo 003; Xuemei Li 001; Caiming Zhang 001 (Inf. Sci., 2022)

A stock price prediction method based on meta-learning and variational mode decomposition. - Tengteng Liu; Xiang Ma 006; Shuo Li; Xuemei Li 001; Caiming Zhang 001 (Knowl. Based Syst., 2022)

MPR-Net: Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting. - Tianlong Zhao; Xiang Ma 006; Xuemei Li 001; Caiming Zhang 001 (CoRR, 2023)

COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic. - Chenxun Yuan; Xiang Ma 006; Hua Wang 012; Caiming Zhang 001; Xuemei Li 001 (Expert Syst. Appl., 2023)

Asset correlation based deep reinforcement learning for the portfolio selection. - Tianlong Zhao; Xiang Ma 006; Xuemei Li 001; Caiming Zhang 001 (Expert Syst. Appl., 2023)

A representation learning framework for stock movement prediction. - Wenzhi Feng; Xiang Ma 006; Xuemei Li 001; Caiming Zhang 001 (Appl. Soft Comput., 2023)

Dynamic graph construction via motif detection for stock prediction. - Xiang Ma 006; Xuemei Li 001; Wenzhi Feng; Lexin Fang; Caiming Zhang 001 (Inf. Process. Manag., 2023)

U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting. - Xiang Ma 006; Xuemei Li 001; Lexin Fang; Tianlong Zhao; Caiming Zhang 001 (AAAI, 2024)

Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching. - Xiang Ma 006; Xuemei Li 001; Lexin Fang; Caiming Zhang 001 (ACM Multimedia, 2024)

Reinforcement learning-based portfolio optimization with deterministic state transition. - Guangle Song; Tianlong Zhao; Xiang Ma 006; Peiguang Lin; Chaoran Cui (Inf. Sci., 2025)

MDWConv:CNN based on multi-scale atrous pyramid and depthwise separable convolution for long time series forecasting. - Guangpo Tian; Yunyang Xu; Xiang Ma 006; Xuemei Li 001; Caiming Zhang 001 (Neural Networks, 2025)

TFformer: A time-frequency domain bidirectional sequence-level attention based transformer for interpretable long-term sequence forecasting. - Tianlong Zhao; Lexin Fang; Xiang Ma 006; Xue-mei Li 001; Caiming Zhang 001 (Pattern Recognit., 2025)