Xiang Ma

According to our database, Xiang Ma authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

TSCG: Efficient grouped channel interaction for multivariate time series forecasting.

Pengcheng Wang, Xiang Ma, Lizhen Cui, Xuemei Li

Expert Syst. Appl., 2026

RTS-LLM: Restoring time structure for time series forecasting with LLMs.

Taihua Chen, Xiang Ma, Yanyu Xu, Yonghui Xu, Shuyuan Qian, Lizhen Cui

Expert Syst. Appl., 2026

Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment.

Xiang Ma, Lexin Fang, Litian Xu, Caiming Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting.

Xiang Ma, Taihua Chen, Pengcheng Wang, Xuemei Li, Caiming Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Reliable Cross-modal Alignment via Prototype Iterative Construction.

Xiang Ma, Litian Xu, Lexin Fang, Caiming Zhang, Lizhen Cui

CoRR, October, 2025

TFformer: A time-frequency domain bidirectional sequence-level attention based transformer for interpretable long-term sequence forecasting.

Tianlong Zhao, Lexin Fang, Xiang Ma, Xue-mei Li, Caiming Zhang

Pattern Recognit., 2025

MDWConv:CNN based on multi-scale atrous pyramid and depthwise separable convolution for long time series forecasting.

Guangpo Tian, Yunyang Xu, Xiang Ma, Xuemei Li, Caiming Zhang

Neural Networks, 2025

Reinforcement learning-based portfolio optimization with deterministic state transition.

Guangle Song, Tianlong Zhao, Xiang Ma, Peiguang Lin, Chaoran Cui

Inf. Sci., 2025

Reliable Cross-modal Alignment via Prototype Iterative Construction.

Xiang Ma, Litian Xu, Lexin Fang, Caiming Zhang, Lizhen Cui

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation.

Lexin Fang, Yunyang Xu, Xiang Ma, Xuemei Li, Caiming Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching.

Xiang Ma, Xuemei Li, Lexin Fang, Caiming Zhang

CoRR, 2024

Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching.

Xiang Ma, Xuemei Li, Lexin Fang, Caiming Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting.

Xiang Ma, Xuemei Li, Lexin Fang, Tianlong Zhao, Caiming Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dynamic graph construction via motif detection for stock prediction.

Xiang Ma, Xuemei Li, Wenzhi Feng, Lexin Fang, Caiming Zhang

Inf. Process. Manag., November, 2023

A representation learning framework for stock movement prediction.

Wenzhi Feng, Xiang Ma, Xuemei Li, Caiming Zhang

Appl. Soft Comput., September, 2023

Asset correlation based deep reinforcement learning for the portfolio selection.

Tianlong Zhao, Xiang Ma, Xuemei Li, Caiming Zhang

Expert Syst. Appl., July, 2023

COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic.

Chenxun Yuan, Xiang Ma, Hua Wang, Caiming Zhang, Xuemei Li

Expert Syst. Appl., May, 2023

MPR-Net: Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting.

Tianlong Zhao, Xiang Ma, Xuemei Li, Caiming Zhang

CoRR, 2023

2022

A stock price prediction method based on meta-learning and variational mode decomposition.

Tengteng Liu, Xiang Ma, Shuo Li, Xuemei Li, Caiming Zhang

Knowl. Based Syst., 2022

Fuzzy hypergraph network for recommending top-K profitable stocks.

Xiang Ma, Tianlong Zhao, Qiang Guo, Xuemei Li, Caiming Zhang

Inf. Sci., 2022

A hierarchical attention network for stock prediction based on attentive multi-view news learning.

Xingtong Chen, Xiang Ma, Hua Wang, Xuemei Li, Caiming Zhang

Neurocomputing, 2022

2021

Image smoothing based on global sparsity decomposition and a variable parameter.

Xiang Ma, Xuemei Li, Yuanfeng Zhou, Caiming Zhang

Comput. Vis. Media, 2021

2020

Two-stage image smoothing based on edge-patch histogram equalisation and patch decomposition.

Yepeng Liu, Xiang Ma, Xuemei Li, Caiming Zhang

IET Image Process., 2020