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2020 – today
- 2024
[j4]Jiajun Huang
, Chengbin Du, Xinqi Zhu, Siqi Ma, Surya Nepal, Chang Xu:
Anti-Compression Contrastive Facial Forgery Detection. IEEE Trans. Multim. 26: 6166-6177 (2024)- 2023
- [c6]Xinqi Zhu, Chang Xu, Dacheng Tao:
ContraFeat: Contrasting Deep Features for Semantic Discovery. AAAI 2023: 11470-11478 - [i7]Jiajun Huang, Xinqi Zhu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu:
Anti-Compression Contrastive Facial Forgery Detection. CoRR abs/2302.06183 (2023) - 2022
- [i6]Xinqi Zhu, Chang Xu, Dacheng Tao:
ContraFeat: Contrasting Deep Features for Semantic Discovery. CoRR abs/2212.07277 (2022) - 2021
- [c5]Xinqi Zhu, Chang Xu, Dacheng Tao:
Where and What? Examining Interpretable Disentangled Representations. CVPR 2021: 5861-5870 - [c4]Xinqi Zhu, Chang Xu, Dacheng Tao:
Commutative Lie Group VAE for Disentanglement Learning. ICML 2021: 12924-12934 - [i5]Xinqi Zhu, Chang Xu, Dacheng Tao:
Where and What? Examining Interpretable Disentangled Representations. CoRR abs/2104.05622 (2021) - [i4]Xinqi Zhu, Chang Xu, Dacheng Tao:
Commutative Lie Group VAE for Disentanglement Learning. CoRR abs/2106.03375 (2021) - 2020
- [j3]Qin Wang, Xinqi Zhu, Yiyang Ni, Li Gu, Hongbo Zhu:
Blockchain for the IoT and industrial IoT: A review. Internet Things 10: 100081 (2020) - [c3]Xinqi Zhu, Chang Xu, Dacheng Tao:
Learning Disentangled Representations with Latent Variation Predictability. ECCV (10) 2020: 684-700 - [i3]Xinqi Zhu, Chang Xu, Dacheng Tao:
Learning Disentangled Representations with Latent Variation Predictability. CoRR abs/2007.12885 (2020) - [i2]Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao:
Approximated Bilinear Modules for Temporal Modeling. CoRR abs/2007.12887 (2020)
2010 – 2019
- 2019
- [c2]Qin Wang, Xinqi Zhu, Yiyang Ni, Li Gu, Haitao Zhao, Hongbo Zhu:
A New Content Popularity Probability Based Cache Placement and Replacement Plan in CCN. ICCT 2019: 1342-1347 - [c1]Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao:
Approximated Bilinear Modules for Temporal Modeling. ICCV 2019: 3493-3502 - 2018
- [j2]Xinqi Zhu, Zhenghong Gao, Yiming Du, Shixin Cheng, Fang Xu:
A decomposition-based multi-objective optimization approach considering multiple preferences with robust performance. Appl. Soft Comput. 73: 263-282 (2018) - [j1]Xinqi Zhu, Zhenghong Gao:
An efficient gradient-based model selection algorithm for multi-output least-squares support vector regression machines. Pattern Recognit. Lett. 111: 16-22 (2018) - 2017
- [i1]Xinqi Zhu, Michael Bain:
B-CNN: Branch Convolutional Neural Network for Hierarchical Classification. CoRR abs/1709.09890 (2017)
Coauthor Index
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