B-CNN: Branch Convolutional Neural Network for Hierarchical Classification. - Xinqi Zhu; Michael Bain 001 (CoRR, 2017)

A decomposition-based multi-objective optimization approach considering multiple preferences with robust performance. - Xinqi Zhu; Zhenghong Gao; Yiming Du; Shixin Cheng; Fang Xu (Appl. Soft Comput., 2018)

An efficient gradient-based model selection algorithm for multi-output least-squares support vector regression machines. - Xinqi Zhu; Zhenghong Gao (Pattern Recognit. Lett., 2018)

A New Content Popularity Probability Based Cache Placement and Replacement Plan in CCN. - Qin Wang 002; Xinqi Zhu; Yiyang Ni; Li Gu; Haitao Zhao 004; Hongbo Zhu 002 (ICCT, 2019)

Approximated Bilinear Modules for Temporal Modeling. - Xinqi Zhu; Chang Xu 002; Langwen Hui; Cewu Lu; Dacheng Tao (ICCV, 2019)

Learning Disentangled Representations with Latent Variation Predictability. - Xinqi Zhu; Chang Xu 002; Dacheng Tao (ECCV (10), 2020)

Blockchain for the IoT and industrial IoT: A review. - Qin Wang 002; Xinqi Zhu; Yiyang Ni; Li Gu; Hongbo Zhu 002 (Internet Things, 2020)

Where and What? Examining Interpretable Disentangled Representations. - Xinqi Zhu; Chang Xu 002; Dacheng Tao (CVPR, 2021)

Commutative Lie Group VAE for Disentanglement Learning. - Xinqi Zhu; Chang Xu 002; Dacheng Tao (ICML, 2021)

ContraFeat: Contrasting Deep Features for Semantic Discovery. - Xinqi Zhu; Chang Xu 002; Dacheng Tao (AAAI, 2023)

Anti-Compression Contrastive Facial Forgery Detection. - Jiajun Huang; Chengbin Du; Xinqi Zhu; Siqi Ma; Surya Nepal; Chang Xu 002 (IEEE Trans. Multim., 2024)