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ORCIDRui Luo 0001
Person information
- affiliation: University College London, UK
- affiliation (former): American International Group Inc.
Other persons with the same name
- Rui Luo — disambiguation page
- Rui Luo 0002
![[0000-0003-0711-8039]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0711-8039")
— Cornell University, Ithaca, NY, USA - Rui Luo 0003 — University of Electronic Science and Technology of China, Chengdu, China
- Rui Luo 0004 — Jiangsu Academy of Agricultural Sciences, Nanjing, China
- Rui Luo 0005 — Northeastern University, Boston, MA, USA
- Rui Luo 0006 — National University of Defense Technology, Changsha, China
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2020 – today
- 2021
[i9]Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang:
Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics. CoRR abs/2109.09833 (2021)- 2020
- [c8]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Sequential Advertising Agent with Interpretable User Hidden Intents. AAMAS 2020: 1966-1968 - [c7]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. CIKM 2020: 2677-2684 - [c6]Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang:
Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets. NeurIPS 2020 - [i8]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. CoRR abs/2009.01453 (2020)
2010 – 2019
- 2019
- [c5]Yaodong Yang, Rui Luo, Yuanyuan Liu:
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models. ICASSP 2019: 3377-3381 - [c4]Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan:
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. ICLR (Poster) 2019 - [i7]Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan:
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. CoRR abs/1901.09207 (2019) - [i6]Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang:
Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets. CoRR abs/1905.12569 (2019) - [i5]Mohammed Amin Abdullah, Hang Ren, Haitham Bou-Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang:
Wasserstein Robust Reinforcement Learning. CoRR abs/1907.13196 (2019) - 2018
- [c3]Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang:
A Neural Stochastic Volatility Model. AAAI 2018: 6401-6408 - [c2]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. ICML 2018: 5567-5576 - [c1]Rui Luo, Jianhong Wang, Yaodong Yang, Jun Wang, Zhanxing Zhu:
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning. NeurIPS 2018: 10696-10705 - [i4]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. CoRR abs/1802.05438 (2018) - [i3]Qiang Zhang, Rui Luo, Yaodong Yang, Yuanyuan Liu:
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series. CoRR abs/1811.03711 (2018) - 2017
- [i2]Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang:
A Neural Stochastic Volatility Model. CoRR abs/1712.00504 (2017) - 2016
- [i1]Ying Wen, Weinan Zhang, Rui Luo, Jun Wang:
Learning text representation using recurrent convolutional neural network with highway layers. CoRR abs/1606.06905 (2016)
Coauthor Index
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