Cumulative prospect theory meets reinforcement learning: Prediction and control LA Prashanth, C Jie, M Fu, S Marcus, C Szepesvári International Conference on Machine Learning, 1406-1415, 2016 | 101 | 2016 |
Examining multiplicity and dynamics of publics’ crisis narratives with large-scale Twitter data X Zhao, M Zhan, C Jie Public Relations Review 44 (4), 619-632, 2018 | 73 | 2018 |
Stochastic optimization in a cumulative prospect theory framework C Jie, LA Prashanth, M Fu, S Marcus, C Szepesvári IEEE Transactions on Automatic Control 63 (9), 2867-2882, 2018 | 61 | 2018 |
Probabilistically distorted risk-sensitive infinite-horizon dynamic programming K Lin, C Jie, SI Marcus Automatica 97, 1-6, 2018 | 25 | 2018 |
Bidding via clustering ads intentions: an efficient search engine marketing system for e-commerce C Jie, D Xu, Z Wang, L Wang, W Shen KDD/IRSworkshop, 2021 | 17* | 2021 |
Decision making under uncertainty: new models and applications C Jie University of Maryland, College Park, 2018 | 10 | 2018 |
Multi-objective cluster based bidding algorithm for E-commerce search engine marketing system C Jie, Z Wang, D Xu, W Shen Frontiers in big Data 5 (2624-909X), 77, 2022 | 5 | 2022 |
Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic C Jie, D Xu, Z Wang, W Shen arXiv preprint arXiv:2209.10792, 2022 | 2 | 2022 |
Using Importance Samping in Estimating Weak Derivative C Jie, MC Fu arXiv preprint arXiv:2209.13184, 2022 | 1 | 2022 |
Systems and methods for keyword categorization Z Wang, C Jie, S Wei US Patent US20210240742A1, 2022 | | 2022 |