Jianshen Zhang

11 papers B 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Explainable probabilistic forecasting for time series in supply chains: a latent auto-encoder approach. Int. J. Prod. Res. Hao Hu, Yuting Wu, Zhengxin Shi, Yongzhi Qi, Jianshen Zhang, Shuyu Han, Ningxuan Kang, Jian Chen, Ling Wang
2025	J	`jnl`	JD.com Improves Fulfillment Efficiency with Data-Driven Integrated Assortment Planning and Inventory Allocation. INFORMS J. Appl. Anal. Zuo-Jun Max Shen, Shuo Sun, Yongzhi Qi, Hao Hu, Ningxuan Kang, Jianshen Zhang, Xin Wang, Xiaoming Lin
2025	J	`jnl`	Leveraging LLM-Based Agents for Intelligent Supply Chain Planning. CoRR Yongzhi Qi, Jiaheng Yin, Jianshen Zhang, Dongyang Geng, Zhengyu Chen, Hao Hu, Wei Qi, Zuo-Jun Max Shen
2025	J	`jnl`	ORPR: An OR-Guided Pretrain-then-Reinforce Learning Model for Inventory Management. CoRR Lingjie Zhao, Xue Yu, Yongzhi Qi, Hao Hu, Jianshen Zhang, Yingzheng Ma, Shuyu Han, Wei Qi, Zuo-Jun Max Shen
2025	J	`jnl`	Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach. Manuf. Serv. Oper. Manag. Dazhou Lei, Yongzhi Qi, Sheng Liu, Dongyang Geng, Jianshen Zhang, Hao Hu, Zuo-Jun Max Shen
2025	J	`jnl`	TimeHF: Billion-Scale Time Series Models Guided by Human Feedback. CoRR Yongzhi Qi, Hao Hu, Dazhou Lei, Jianshen Zhang, Zhengxin Shi, Yulin Huang, Zhengyu Chen, Xiaoming Lin, Zuo-Jun Max Shen
2024	J	`jnl`	sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting. CoRR Jiaheng Yin, Zhengxin Shi, Jianshen Zhang, Xiaomin Lin, Yulin Huang, Yongzhi Qi, Wei Qi
2022	B	`conf`	Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT. IJCNN Jianming Guo, Xinran Chen, Zihan Liu, Weijie Yuan, Jianshen Zhang, Gongshen Liu
2022	J	`jnl`	Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting. CoRR Yiqi Sun, Zhengxin Shi, Jianshen Zhang, Yongzhi Qi, Hao Hu, Zuo-Jun Max Shen
2020	—	`conf`	Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation. ICONIP (1) Jianshen Zhang, Yong Liao, Yongan Li, Gongshen Liu
2020	B	`conf`	Unleashing the Potential of Attention Model for News Headline Generation. IJCNN Yong Liao, Kui Meng, Jianshen Zhang, Gongshen Liu