| Mean Field Multi-Agent Reinforcement Learning R Luo*, Y Yang*, M Li, M Zhou, W Zhang, J Wang ICML'18 - The 35th International Conference on Machine Learning, PMLR 80 …, 2018 | 817* | 2018 |
| Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Y Wen, Y Yang, R Luo, J Wang, W Pan ICLR'19 - The 7th International Conference on Learning Representations, 2019 | 172 | 2019 |
| Wasserstein robust reinforcement learning MA Abdullah, H Ren, HB Ammar, V Milenkovic, R Luo, M Zhang, J Wang arXiv preprint arXiv:1907.13196, 2019 | 100 | 2019 |
| A Neural Stochastic Volatility Model R Luo, W Zhang, X Xu, J Wang AAAI'18 - The 32nd AAAI Conference on Artificial Intelligence, 6401-6408, 2018 | 90 | 2018 |
| Learning text representation using recurrent convolutional neural network with highway layers Y Wen, W Zhang, R Luo, J Wang SIGIR'16 Workshop on Neural Information Retrieval (Neu-IR'16), 2016 | 67 | 2016 |
| A new attempt of white-box AES implementation R Luo, X Lai, R You 2014 IEEE International Conference on Security, Pattern Analysis, and …, 2014 | 35 | 2014 |
| Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning R Luo, J Wang, Y Yang, Z Zhu, J Wang NeurIPS'18 - Advances in Neural Information Processing Systems 31, 10696-10705, 2018 | 17 | 2018 |
| Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series R Luo*, Q Zhang*, Y Yang, Y Liu In NIPS'18 Workshop on Challenges and Opportunities for AI in Financial …, 2018 | 13* | 2018 |
| Learning over categorical data using counting features: With an application on click-through rate estimation X Wu, X Gao, W Zhang, R Luo, J Wang Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019 | 7 | 2019 |
| Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics Y Wu, R Luo, C Zhang, J Wang, Y Yang arXiv preprint arXiv:2109.09833, 2021 | 6 | 2021 |
| Learning to Infer User Hidden States for Online Sequential Advertising Z Peng, J Jin, L Luo, Y Yang, R Luo, J Wang, W Zhang, H Xu, M Xu, C Yu, ... CIKM'20 - The 29th ACM International Conference on Information & Knowledge …, 2020 | 4 | 2020 |
| Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models Y Yang, R Luo, Y Liu ICASSP'19 - 2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 3 | 2019 |
| Inferring Tweedie Compound Poisson Mixed Models with Adversarial Variational Methods Y Yang, R Luo, R Khorshidi, Y Liu NIPS'17 Workshop on Advances in Approximate Bayesian Inference (AABI'17), 2017 | 2 | 2017 |
| Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets R Luo, Q Zhang, Y Yang, J Wang NeurIPS'20, 2020 | 1* | 2020 |
| Sequential Advertising Agent with Interpretable User Hidden Intents Z Peng, J Jin, L Luo, Y Yang, R Luo, J Wang, W Zhang, M Xu, C Yu, T Luo, ... AAMAS'20 - The 19th International Conference on Autonomous Agents and …, 2020 | | 2020 |
| A Robust Iterative Algorithm for Parameter Estimation of the Generalized Gamma Distribution R Luo, W Zhao 2014 IEEE 17th International Conference on Computational Science and …, 2014 | | 2014 |
Yaodong YangBOYA (博雅) Assistant Professor at Peking UniversityEmail verificata su pku.edu.cn