Ziliang Chen
Ziliang Chen
在 mail3.sysu.edu.cn 的電子郵件地址已通過驗證
標題引用次數年份
Deep cocktail network: Multi-source unsupervised domain adaptation with category shift
R Xu, Z Chen, W Zuo, J Yan, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
392018
Cost-effective object detection: Active sample mining with switchable selection criteria
K Wang, L Lin, X Yan, Z Chen, D Zhang, L Zhang
IEEE transactions on neural networks and learning systems 30 (3), 834-850, 2018
62018
Graph neural reasoning for 2-quantified boolean formula solvers
Z Yang, F Wang, Z Chen, G Wei, T Rompf
arXiv preprint arXiv:1904.12084, 2019
42019
Blending-target domain adaptation by adversarial meta-adaptation networks
Z Chen, J Zhuang, X Liang, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
32019
Deep co-space: Sample mining across feature transformation for semi-supervised learning
Z Chen, K Wang, X Wang, P Peng, E Izquierdo, L Lin
IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2667 …, 2017
22017
FRAME Revisited: An Interpretation View Based on Particle Evolution
X Cai, Y Wu, G Li, Z Chen, L Lin
Proceedings of the AAAI Conference on Artificial Intelligence 33, 3256-3263, 2019
12019
Graph Neural Reasoning May Fail in Proving Boolean Unsatisfiability
Z Chen, Z Yang
arXiv preprint arXiv:1909.11588, 2019
2019
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
Z Chen, Z Yang, X Wang, X Liang, X Yan, G Li, L Lin
arXiv preprint arXiv:1907.03426, 2019
2019
Meta R-CNN: Towards General Solver for Instance-level Low-shot Learning
X Yan, Z Chen, A Xu, X Wang, X Liang, L Lin
Proceedings of the IEEE International Conference on Computer Vision, 9577-9586, 2019
2019
Supplementary Material for “Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift”
R Xu, Z Chen, W Zuo, J Yan, L Lin
系統目前無法執行作業,請稍後再試。
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