Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation. - Jianshen Zhang; Yong Liao; YongAn Li; Gongshen Liu (ICONIP (1), 2020)

Unleashing the Potential of Attention Model for News Headline Generation. - Yong Liao; Kui Meng; Jianshen Zhang; Gongshen Liu (IJCNN, 2020)

Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT. - Jianming Guo; Xinran Chen; Zihan Liu; Weijie Yuan 003; Jianshen Zhang; Gongshen Liu (IJCNN, 2022)

Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting. - Yiqi Sun; Zhengxin Shi; Jianshen Zhang; Yongzhi Qi; Hao Hu; Zuo-Jun Max Shen (CoRR, 2022)

sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting. - Jiaheng Yin; Zhengxin Shi; Jianshen Zhang; Xiaomin Lin; Yulin Huang; Yongzhi Qi; Wei Qi (CoRR, 2024)

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback. - Yongzhi Qi; Hao Hu; Dazhou Lei; Jianshen Zhang; Zhengxin Shi; Yulin Huang; Zhengyu Chen; Xiaoming Lin; Zuo-Jun Max Shen (CoRR, 2025)