When advertising meets assortment planning: Joint advertising and assortment optimization under multinomial logit model C Wang, Y Wang, S Tang International Conference on Combinatorial Optimization and Applications, 16-42, 2023 | 7 | 2023 |
Effective streaming low-tubal-rank tensor approximation via frequent directions Q Yi, C Wang, K Wang, Y Wang IEEE Transactions on Neural Networks and Learning Systems 35 (1), 1113-1126, 2022 | 4 | 2022 |
Assortment optimization for the multinomial logit model with repeated customer interactions N Chen, P Gao, C Wang, Y Wang Available at SSRN 4526247, 2023 | 3 | 2023 |
Sequential recommendation and pricing under the mixed cascade model Y Liu, C Wang, P Gao, Z Wang SSRN, 2023 | 3 | 2023 |
Simple is enough: A cascade approximation for attention-based satisficing choice models P Gao, Y Liu, C Wang, Z Wang Available at SSRN 4529802, 2023 | 2 | 2023 |
An improved frequent directions algorithm for low-rank approximation via block krylov iteration C Wang, Q Yi, X Liao, Y Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
Assortment optimization with repeated exposures and product-dependent patience cost S Tang, J Yuan, C Wang, Y Wang, L Chen Operations Research Letters 50 (1), 8-15, 2022 | 2 | 2022 |
Deep reinforcement learning for online assortment customization: A data-driven approach T Li, C Wang, Y Wang, S Tang, N Chen Available at SSRN 4870298, 2024 | 1 | 2024 |
A Bilevel View for Fluid Stockout-Based Substitution Y Guo, C Wang, J Zhang Available at SSRN, 2023 | 1 | 2023 |
Sequential Assortment Recommendation under the Impatient Mixed Cascade Model Y Liu, C Wang, P Gao, Z Wang Available at SSRN 4382163, 2023 | | 2023 |
A Fast and Accurate Frequent Directions Algorithm for Low Rank Approximation via Block Krylov Iteration Q Yi, C Wang, X Liao, Y Wang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | | 2020 |
Sequential Recommendation and Pricing Under the Mixed Cascade Model P Gao, Y Liu, C Wang, Z Wang Web and Internet Economics LNCS 14413, 689, 0 | | |