| Learning to optimize under non-stationarity WC Cheung, D Simchi-Levi, R Zhu The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 155 | 2019 |
| Meta dynamic pricing: Transfer learning across experiments H Bastani, D Simchi-Levi, R Zhu Management Science 68 (3), 1865-1881, 2022 | 124 | 2022 |
| Hedging the drift: Learning to optimize under nonstationarity WC Cheung, D Simchi-Levi, R Zhu Management Science 68 (3), 1696-1713, 2022 | 114 | 2022 |
| Reinforcement learning for non-stationary markov decision processes: The blessing of (more) optimism WC Cheung, D Simchi-Levi, R Zhu International Conference on Machine Learning, 1843-1854, 2020 | 113 | 2020 |
| Differentially private spectrum auction with approximate revenue maximization R Zhu, Z Li, F Wu, K Shin, G Chen Proceedings of the 15th ACM international symposium on mobile ad hoc …, 2014 | 67 | 2014 |
| Coresets for Differentially Private K-means Clustering and Applications to Privacy in Mobile Sensor Networks D Feldman, C Xiang, R Zhu, D Rus Proceedings of the 16th ACM/IEEE International Conference on Information …, 2017 | 64 | 2017 |
| Differentially private and strategy-proof spectrum auction with approximate revenue maximization R Zhu, KG Shin 2015 IEEE conference on computer communications (INFOCOM), 918-926, 2015 | 60 | 2015 |
| Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism WC Cheung, D Simchi-Levi, R Zhu arXiv preprint arXiv:1906.02922, 2019 | 53* | 2019 |
| Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs W Mao, K Zhang, R Zhu, D Simchi-Levi, T Basar International Conference on Machine Learning, 7447-7458, 2021 | 46 | 2021 |
| Threshold Bandits, With and Without Censored Feedback J Abernethy, K Amin, R Zhu Advances In Neural Information Processing Systems, 4889-4897, 2016 | 38 | 2016 |
| User experience design professionals’ perceptions of generative artificial intelligence J Li, H Cao, L Lin, Y Hou, R Zhu, A El Ali Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-18, 2024 | 22 | 2024 |
| Model-free non-stationary rl: Near-optimal regret and applications in multi-agent rl and inventory control W Mao, K Zhang, R Zhu, D Simchi-Levi, T Başar arXiv preprint arXiv:2010.03161, 2020 | 21* | 2020 |
| Calibrating Sales Forecasts in a Pandemic Using Competitive Online Nonparametric Regression D Simchi-Levi, R Sun, MX Wu, R Zhu Management Science, 2023 | 10 | 2023 |
| Safe optimal design with applications in off-policy learning R Zhu, B Kveton International Conference on Artificial Intelligence and Statistics, 2436-2447, 2022 | 9 | 2022 |
| Safe Data Collection for Offline and Online Policy Learning R Zhu, B Kveton arXiv preprint arXiv:2111.04835, 2021 | 8* | 2021 |
| Joint patient selection and scheduling under no‐shows: Theory and application in proton therapy S Saghafian, N Trichakis, R Zhu, HA Shih Production and Operations Management 32 (2), 547-563, 2023 | 7 | 2023 |
| Sailing through the Dark: Provably Sample-Efficient Inventory Control H Qin, D Simchi-Levi, R Zhu Available at SSRN 4652347, 2023 | 6* | 2023 |
| Learning to route efficiently with end-to-end feedback: The value of networked structure R Zhu, E Modiano arXiv preprint arXiv:1810.10637, 2018 | 6 | 2018 |
| STAMP: A Strategy-proof Approximation auction Mechanism for Spatially reusable Items in wireless networks R Zhu, F Wu, G Chen Global Communications Conference (GLOBECOM), 2013 IEEE, 3048-3053, 2013 | 5 | 2013 |
| LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation R Zhu, D Lv, Y Yu, R Zhu, Z Zheng, K Bu, Q Lu, F Wu Proceedings of the ACM Web Conference 2023, 779-789, 2023 | 4 | 2023 |
Wang Chi CheungDepartment of Industrial Systems Engineering and Management, National University of SingaporeVerified email at nus.edu.sg
