Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex. - Yufei Cui; Wuguannan Yao; Qiao Li 001; Antoni B. Chan; Chun Jason Xue (CoRR, 2019)

Fully Nested Neural Network for Adaptive Compression and Quantization. - Yufei Cui; Ziquan Liu; Wuguannan Yao; Qiao Li 001; Antoni B. Chan; Tei-Wei Kuo; Chun Jason Xue (IJCAI, 2020)

Learning from Crowds via Joint Probabilistic Matrix Factorization and Clustering in Latent Space. - Wuguannan Yao; Wonjung Lee; Junhui Wang (ECML/PKDD (4), 2020)

Optimal Option Hedging with Policy Gradient. - Bo Xiao; Wuguannan Yao; Xiang Zhou 001 (ICDM (Workshops), 2021)

Accelerating Monte Carlo Bayesian Prediction via Approximating Predictive Uncertainty Over the Simplex. - Yufei Cui; Wuguannan Yao; Qiao Li 001; Antoni B. Chan; Chun Jason Xue (IEEE Trans. Neural Networks Learn. Syst., 2022)