Learning text representation using recurrent convolutional neural network with highway layers. - Ying Wen 001; Weinan Zhang 001; Rui Luo 001; Jun Wang 012 (CoRR, 2016)

A Neural Stochastic Volatility Model. - Rui Luo 001; Weinan Zhang 001; Xiaojun Xu; Jun Wang 012 (AAAI, 2018)

Mean Field Multi-Agent Reinforcement Learning. - Yaodong Yang 001; Rui Luo 001; Minne Li; Ming Zhou 006; Weinan Zhang 001; Jun Wang 012 (ICML, 2018)

Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning. - Rui Luo 001; Jianhong Wang; Yaodong Yang 001; Jun Wang 012; Zhanxing Zhu (NeurIPS, 2018)

Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series. - Qiang Zhang; Rui Luo 001; Yaodong Yang 001; Yuanyuan Liu (CoRR, 2018)

Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models. - Yaodong Yang 001; Rui Luo 001; Yuanyuan Liu (ICASSP, 2019)

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. - Ying Wen 001; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Wei Pan 004 (ICLR (Poster), 2019)

Wasserstein Robust Reinforcement Learning. - Mohammed Amin Abdullah 001; Hang Ren; Haitham Bou-Ammar; Vladimir Milenkovic; Rui Luo 001; Mingtian Zhang; Jun Wang 012 (CoRR, 2019)

Sequential Advertising Agent with Interpretable User Hidden Intents. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; Jian Xu 015; et al. (AAMAS, 2020)

Learning to Infer User Hidden States for Online Sequential Advertising. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Haiyang Xu; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; et al. (CIKM, 2020)

Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets. - Rui Luo 001; Qiang Zhang; Yaodong Yang 001; Jun Wang 012 (NeurIPS, 2020)

Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics. - Yixin Wu; Rui Luo 001; Chen Zhang 013; Jun Wang 012; Yaodong Yang 001 (CoRR, 2021)