Working Papers
Pin Gao, Yicheng Liu, Chenhao Wang, Zizhuo Wang. 2023. Simple is Enough: A Cascade Approximation for Attention-Based Satisficing Choice Models.
Pin Gao, Yicheng Liu, Chenhao Wang, Zizhuo Wang. 2023. Sequential Recommendation and Pricing Under the Mixed Cascade Model.
Ningyuan Chen, Pin Gao, Chenhao Wang, Yao Wang. 2023. Assortment Optimization for the Multinomial Logit Model with Repeated Customer Interactions.
Tao Li, Chenhao Wang, Yao Wang, Shaojie Tang and Ningyuan Chen. 2023. Deep Reinforcement Learning for Online Assortment Customization: A Data-Driven Approach.
Yuan Guo, Chenhao Wang, Jingwei Zhang. 2024. A Bilevel View for Fluid Stockout-Based Substitution.
Saman Lagzi, Ningyuan Chen, Pin Gao, Sheng Liu, and Chenhao Wang . 2024. Menu Optimization for Meal Delivery Platform.
Publications
Pin Gao, Liu, Yicheng, Chenhao Wang, Zizhuo Wang. 2023. Sequential Recommendation and Pricing Under the Mixed Cascade Model, WINE 23: Proceedings of the 19th Conference on Web and Internet Economics.
Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang. 2023. An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration, IEEE Transactions on Neural Networks and Learning Systems.
Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang. 2023. Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions, IEEE Transactions on Neural Networks and Learning Systems.
Shaojie Tang, Jing Yuan, Chenhao Wang, Yao Wang, Luoying Chen. 2022. Assortment Optimization with Repeated Exposures and Product-dependent Patience Cost, Operations Research Letters.