Jianshen Zhang

According to our database, Jianshen Zhang authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

ORPR: An OR-Guided Pretrain-then-Reinforce Learning Model for Inventory Management.

Lingjie Zhao, Xue Yu, Yongzhi Qi, Hao Hu, Jianshen Zhang, Yingzheng Ma, Shuyu Han, Wei Qi, Zuo-Jun Max Shen

CoRR, December, 2025

Leveraging LLM-Based Agents for Intelligent Supply Chain Planning.

Yongzhi Qi, Jiaheng Yin, Jianshen Zhang, Dongyang Geng, Zhengyu Chen, Hao Hu, Wei Qi, Zuo-Jun Max Shen

CoRR, September, 2025

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, January, 2025

Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach.

Dazhou Lei, Yongzhi Qi, Sheng Liu, Dongyang Geng, Jianshen Zhang, Hao Hu, Zuo-Jun Max Shen

Manuf. Serv. Oper. Manag., 2025

JD.com Improves Fulfillment Efficiency with Data-Driven Integrated Assortment Planning and Inventory Allocation.

Zuo-Jun Max Shen, Shuo Sun, Yongzhi Qi, Hao Hu, Ningxuan Kang, Jianshen Zhang, Xin Wang, Xiaoming Lin

INFORMS J. Appl. Anal., 2025

Explainable probabilistic forecasting for time series in supply chains: a latent auto-encoder approach.

Hao Hu, Yuting Wu, Zhengxin Shi, Yongzhi Qi, Jianshen Zhang, Shuyu Han, Ningxuan Kang, Jian Chen, Ling Wang

Int. J. Prod. Res., 2025

2024

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

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

Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT.

Jianming Guo, Xinran Chen, Zihan Liu, Weijie Yuan, Jianshen Zhang, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

Unleashing the Potential of Attention Model for News Headline Generation.

Yong Liao, Kui Meng, Jianshen Zhang, Gongshen Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation.

Jianshen Zhang, Yong Liao, YongAn Li, Gongshen Liu

Proceedings of the Neural Information Processing - 27th International Conference, 2020