Data-Free Prior Model for Upper Body Pose Estimation and Tracking. - Jixu Chen; Siqi Nie; Qiang Ji (IEEE Trans. Image Process., 2013)

Feature Learning Using Bayesian Linear Regression Model. - Siqi Nie; Qiang Ji (ICPR, 2014)

Capturing Global and Local Dynamics for Human Action Recognition. - Siqi Nie; Qiang Ji (ICPR, 2014)

Advances in Learning Bayesian Networks of Bounded Treewidth. - Siqi Nie; Denis Deratani Mauá; Cassio P. de Campos; Qiang Ji (NIPS, 2014)

Learning Bounded Tree-Width Bayesian Networks via Sampling. - Siqi Nie; Cassio P. de Campos; Qiang Ji (ECSQARU, 2015)

Latent Regression Bayesian Network for Data Representation. - Siqi Nie; Qiang Ji (CoRR, 2015)

A generative restricted Boltzmann machine based method for high-dimensional motion data modeling. - Siqi Nie; Ziheng Wang 001; Qiang Ji (Comput. Vis. Image Underst., 2015)

Learning Bayesian Networks with Bounded Tree-width via Guided Search. - Siqi Nie; Cassio P. de Campos; Qiang Ji (AAAI, 2016)

An information theoretic feature selection framework based on integer programming. - Siqi Nie; Tian Gao; Qiang Ji (ICPR, 2016)

Latent regression Bayesian network for data representation. - Siqi Nie; Yue Zhao 013; Qiang Ji (ICPR, 2016)

Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network. - Quan Gan; Siqi Nie; Shangfei Wang; Qiang Ji (AAAI, 2017)

Deep Regression Bayesian Network and Its Applications. - Siqi Nie; Meng Zheng; Qiang Ji (CoRR, 2017)

Efficient learning of Bayesian networks with bounded tree-width. - Siqi Nie; Cassio P. de Campos; Qiang Ji (Int. J. Approx. Reason., 2017)

The Deep Regression Bayesian Network and Its Applications: Probabilistic Deep Learning for Computer Vision. - Siqi Nie; Meng Zheng; Qiang Ji (IEEE Signal Process. Mag., 2018)