Chenhao Wang

I am a Postdoctoral Researcher in Tongji University, I got my Ph.D. degree from The Chinese University of Hong Kong, Shenzhen, under the supervision of Hailun Zhang and Pin Gao. I received my Master degree in the School of Management from Xi'an Jiaotong University, China, where I was very fortunate to be advised by Yao Wang.  Prior to that, I received my Bachelor degree in Mathematics from Xi'an Jiaotong University.

My research interests lie in revenue management, especially in Choice Model and  Assortment Optimization.

Working Papers

1. Pin Gao, Yicheng Liu, Chenhao Wang, Zizhuo Wang. 2023. Simple is Enough: A Cascade Approximation for Attention-Based Satisficing Choice Models. (Under Review)

   1. First Place, Best Paper Award, National Conference on Supply Chain and Operation Management (ISCOM), 2023.

2. Pin Gao, Yicheng Liu, Chenhao Wang, Zizhuo Wang. 2023. Sequential Recommendation and Pricing Under the Mixed Cascade Model.

   1. Conference Version: WINE 2023

3. Ningyuan Chen, Pin Gao, Chenhao Wang, Yao Wang. 2023. Assortment Optimization for the Multinomial Logit Model with Repeated Customer Interactions. (Under Second Round Major Revison, Management Science. First Round: Major Revison. )

   1. Conference Version: WINE 2025

4. Yuan Guo, Chenhao Wang, Jingwei Zhang. 2024. A Bilevel View for Fluid Stockout-Based Substitution. (Under Review)

   1. First Place, Best Paper Award, National Conference on Supply Chain and Operation Management (ISCOM), 2024.

5. Saman Lagzi,  Ningyuan Chen, Pin Gao, Sheng Liu, and Chenhao Wang . 2024. Menu Optimization for Meal Delivery Platform. (Under Second Round Review, Management Science. First Round: Reject and Resubmit. )

Publications (* means equal contribution)

1. Tao Li*, Chenhao Wang*, Yao Wang, Shaojie Tang and Ningyuan Chen. 2025+. Deep Reinforcement Learning for Online Assortment Customization: A Data-Driven Approach.  Production and Operations Management. 

2. Chenhao Wang, Yao Wang, Shaojie Tang. 2025. “When Advertising meets Assortment Planning: Joint Advertising and Assortment Optimization under Multinomial Logit Model”，Journal of Combinatorial Optimization.

3. 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.

4. 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.

5. Shaojie Tang, Jing Yuan, Chenhao Wang, Yao Wang, Luoying Chen. 2022. Assortment Optimization with Repeated Exposures and Product-dependent Patience Cost, Operations Research Letters.