Noise-robust Cross-modal Interactive Learning with Text2Image Mask for Multi-modal Neural Machine Translation. - Junjie Ye 003; Junjun Guo; Yan Xiang; Kaiwen Tan; Zhengtao Yu 001 (COLING, 2022)

Dual-level interactive multimodal-mixup encoder for multi-modal neural machine translation. - Junjie Ye 003; Junjun Guo (Appl. Intell., 2022)

Layer-Level Progressive Transformer With Modality Difference Awareness for Multi-Modal Neural Machine Translation. - Junjun Guo; Junjie Ye 003; Yan Xiang; Zhengtao Yu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Multi-grained visual pivot-guided multi-modal neural machine translation with text-aware cross-modal contrastive disentangling. - Junjun Guo; Rui Su; Junjie Ye 003 (Neural Networks, 2024)

DFGCN: Decoupled dual-flow dynamic graph convolutional network for multivariate time series forecasting. - Junjie Ye 003; Jinhong Li; Rui Su; Sen Yang; Yaqun Huang; Chunna Zhao (Knowl. Based Syst., 2025)

Dual-stream interactive networks with pearson-mask awareness for multivariate time series forecasting. - Junjie Ye 003; Jinhong Li; Chunna Zhao; Chengli Zhou; Xiaojun Zhou; Yaqun Huang (Neural Networks, 2025)

Improved fractional-order gradient descent method based on multilayer perceptron. - Xiaojun Zhou; Chunna Zhao; Yaqun Huang; Chengli Zhou; Junjie Ye 003 (Neural Networks, 2025)

Fractional Position With Predictive Attention for Multivariate Time Series Forecasting. - Chengli Zhou; Yanhong Li; Junjie Ye 003; Yanli Zhou; Xiaojun Zhou; Yaqun Huang; Dapeng Tao; Chunna Zhao (IEEE Internet Things J., 2025)

CVACL-MA: Comprehensive variate analysis and collaborative learning with multi-adapter for multivariate time series forecasting. - Junjie Ye 003; Chengli Zhou; Xiaojun Zhou; Yaqun Huang; Chunna Zhao (Pattern Recognit., 2026)