Transfer Learning by Ranking for Weakly Supervised Object Annotation. - Zhiyuan Shi 001; Parthipan Siva; Tao Xiang 002 (BMVC, 2012)

Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. - Zhiyuan Shi 001; Timothy M. Hospedales; Tao Xiang 002 (ICCV, 2013)

Weakly Supervised Learning of Objects, Attributes and Their Associations. - Zhiyuan Shi 001; Yongxin Yang; Timothy M. Hospedales; Tao Xiang 002 (ECCV (2), 2014)

Transferring a semantic representation for person re-identification and search. - Zhiyuan Shi 001; Timothy M. Hospedales; Tao Xiang 002 (CVPR, 2015)

Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images. - Zhiyuan Shi 001; Timothy M. Hospedales; Tao Xiang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Kinematic-aware random forest for static and dynamic action recognition from depth sequences. - Seungryul Baek; Zhiyuan Shi 001; Masato Kawade; Tae-Kyun Kim 001 (CoRR, 2016)

Weakly supervised learning of objects and attributes. - Zhiyuan Shi 001 (2016)

Kinematic-Layout-aware Random Forests for Depth-based Action Recognition. - Seungryul Baek; Zhiyuan Shi 001; Masato Kawade; Tae-Kyun Kim 001 (BMVC, 2017)

Learning and Refining of Privileged Information-Based RNNs for Action Recognition from Depth Sequences. - Zhiyuan Shi 001; Tae-Kyun Kim 001 (CVPR, 2017)

Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes. - Zhiyuan Shi 001; Yongxin Yang; Timothy M. Hospedales; Tao Xiang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Pairwise Decomposition of Directed Graphic Models for Performing Amortized Approximate Inference. - Peng Lin; Changsheng Dou; Nannan Gu; Zhiyuan Shi 001; Lili Ma (ML4CS (1), 2022)

Performing Bayesian Network Inference Using Amortized Region Approximation with Graph Factorization. - Peng Lin; Changsheng Dou; Nannan Gu; Zhiyuan Shi 001; Lili Ma (Int. J. Intell. Syst., 2023)