| Model-based deep reinforcement learning for financial portfolio optimization P Yu, JS Lee, I Kulyatin, Z Shi, S Dasgupta Real-world Sequential Decision Making Workshop, ICML, 2019, 2019 | 112* | 2019 |
| Distributionally robust counterpart in Markov decision processes P Yu, H Xu IEEE Transactions on Automatic Control 61 (9), 2538-2543, 2015 | 89 | 2015 |
| Distributionally robust optimization for sequential decision-making Z Chen, P Yu, WB Haskell Optimization 68 (12), 2397-2426, 2019 | 41 | 2019 |
| Fed+: A unified approach to robust personalized federated learning P Yu, A Kundu, L Wynter, SH Lim arXiv preprint arXiv:2009.06303, 2020 | 29* | 2020 |
| Mutual information maximization in graph neural networks X Di, P Yu, R Bu, M Sun 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 29 | 2020 |
| A universal empirical dynamic programming algorithm for continuous state MDPs WB Haskell, R Jain, H Sharma, P Yu IEEE Transactions on Automatic Control 65 (1), 115-129, 2019 | 29* | 2019 |
| Robust path planning for flexible needle insertion using Markov decision processes X Tan, P Yu, KB Lim, CK Chui International Journal of Computer Assisted Radiology and Surgery 13, 1439-1451, 2018 | 29 | 2018 |
| Approximate value iteration for risk-aware Markov decision processes P Yu, WB Haskell, H Xu IEEE Transactions on Automatic Control 63 (9), 3135-3142, 2018 | 27 | 2018 |
| Robustness and personalization in federated learning: A unified approach via regularization A Kundu, P Yu, L Wynter, SH Lim 2022 IEEE International Conference on Edge Computing and Communications …, 2022 | 16 | 2022 |
| A study of enterprise performance management system based on KPI+ BSC L Guanying, Y Kaichao, W Congcong, Y Pengqian 2010 3rd International Conference on Information Management, Innovation …, 2010 | 12 | 2010 |
| LWA-HAND: Lightweight attention hand for interacting hand reconstruction X Di, P Yu European Conference on Computer Vision, 722-738, 2022 | 9 | 2022 |
| Randomized function fitting-based empirical value iteration WB Haskell, P Yu, H Sharma, R Jain 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2467-2472, 2017 | 9 | 2017 |
| Dynamic programming for risk-aware sequential optimization P Yu, WB Haskell, H Xu 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 4934-4939, 2017 | 9 | 2017 |
| Model-based deep reinforcement learning for dynamic portfolio optimization. arXiv 2019 P Yu, JS Lee, I Kulyatin, Z Shi, S Dasgupta arXiv preprint arXiv:1901.08740, 0 | 9 | |
| Deep reinforcement learning for 3D furniture layout in indoor graphic scenes X Di, P Yu Reinforcement Learning for Real Life Workshop, ICML, 2021 | 8* | 2021 |
| 3D reconstruction of simple objects from a single view silhouette image X Di, P Yu arXiv preprint arXiv:1701.04752, 2017 | 8 | 2017 |
| Model-based deep reinforcement learning for dynamic portfolio optimization. arXiv P Yu, JS Lee, I Kulyatin, Z Shi, S Dasgupta arXiv preprint arXiv:1901.08740, 2019 | 7 | 2019 |
| Structural Plan of Indoor Scenes with Personalized Preferences X Di, P Yu, H Zhu, L Cai, Q Sheng, C Sun, L Ran Assistive Computer Vision and Robotics Workshop, ECCV, 455-468, 2020 | 6 | 2020 |
| End-to-end generative floor-plan and layout with attributes and relation graph X Di, P Yu, D Yang, H Zhu, C Sun, YD Liu arXiv preprint arXiv:2012.08514, 2020 | 5 | 2020 |
| Federated reinforcement learning for portfolio management P Yu, L Wynter, SH Lim Federated Learning: A Comprehensive Overview of Methods and Applications …, 2022 | 4 | 2022 |
William B. HaskellPurdue University在 purdue.edu 的电子邮件经过验证
