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LAFEAT: Piercing Through Adversarial Defenses with Latent Features
Conference paper
Yu, Y.R., Gao, X.T., Xu, C.Z.. LAFEAT: Piercing Through Adversarial Defenses with Latent Features[C], 2021.
Authors:
Yu, Y.R.
;
Gao, X.T.
;
Xu, C.Z.
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Submit date:2022/01/26
--
One Shot Face Swapping on Megapixels
Conference paper
Zhu, Y.H., Li, Q., Wang, J., Xu, C.Z., Sun, Z.N.. One Shot Face Swapping on Megapixels[C], LOS ALAMITOS, CA 90720-1264 USA:IEEE Computer Society, 2021, 4832 - 4842.
Authors:
Zhu, Y.H.
;
Li, Q.
;
Wang, J.
;
Xu, C.Z.
;
Sun, Z.N.
Favorite
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TC[WOS]:
93
TC[Scopus]:
108
|
Submit date:2022/01/26
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Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Conference paper
Abuduweili, A., Li, X.J., Shi, H., Xu, C.Z., Dou, D.J.. Adaptive Consistency Regularization for Semi-Supervised Transfer Learning[C], LOS ALAMITOS, CA 90720-1264 USA:IEEE Computer Society, 2021, 6919 - 6928.
Authors:
Abuduweili, A.
;
Li, X.J.
;
Shi, H.
;
Xu, C.Z.
;
Dou, D.J.
Favorite
|
TC[WOS]:
66
TC[Scopus]:
78
|
Submit date:2022/01/26
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Noise Stability Regularization for Improving BERT Fine-tuning
Conference paper
Hua, H.H., Li, X.J., Dou, D.J., Xu, C.Z., Luo, J.B.. Noise Stability Regularization for Improving BERT Fine-tuning[C], STROUDSBURG, PA 18360 USA:Association for Computational Linguistics (ACL), 2021, 3229 - 3241.
Authors:
Hua, H.H.
;
Li, X.J.
;
Dou, D.J.
;
Xu, C.Z.
;
Luo, J.B.
Favorite
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TC[Scopus]:
15
|
Submit date:2022/01/26
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智慧城市的發展與方向
Presentation
报告日期: 2021-04-19
Authors:
Xu, C.Z.
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Submit date:2022/01/26
DEAL: Decremental Energy-Aware Learning in a Federated System
Journal article
Zou, W.T., Li, L., Xu, Z.C., Xu, C.Z.. DEAL: Decremental Energy-Aware Learning in a Federated System[J]. Computing Research Repository, 2021, 1-11.
Authors:
Zou, W.T.
;
Li, L.
;
Xu, Z.C.
;
Xu, C.Z.
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Submit date:2022/01/26
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Dynamic Traffic Bottlenecks Identification Based on Congestion Diffusion Model by Influence Maximization in Metrocity Scales
Journal article
Zhao, B.X., Xu, C.Z., Liu, S.Y., Zhao, J.J., Li, L.. Dynamic Traffic Bottlenecks Identification Based on Congestion Diffusion Model by Influence Maximization in Metrocity Scales[J]. Concurrency and Computation: Practice and Experience, 2020, 33(6), e5790.
Authors:
Zhao, B.X.
;
Xu, C.Z.
;
Liu, S.Y.
;
Zhao, J.J.
;
Li, L.
Favorite
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TC[WOS]:
2
TC[Scopus]:
2
|
Submit date:2022/01/26
Bottlenecks Identification
Influence Maximization
Traffic Congestion Diffusion
Traffic Flow Influence
A Congestion Diffusion Model with Influence Maximization for Traffic Bottleneck Identification in Metrocity Scales
Conference paper
Zhao, B., Xu, C.Z., Liu, S., Zhao, J., Li, L.. A Congestion Diffusion Model with Influence Maximization for Traffic Bottleneck Identification in Metrocity Scales[C], 2020.
Authors:
Zhao, B.
;
Xu, C.Z.
;
Liu, S.
;
Zhao, J.
;
Li, L.
Favorite
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Submit date:2022/01/26
Bottlenecks identification
influence maximization
traffic congestion diffusion
traffic flow influence
Multi-tier Workload Consolidations in the Cloud:Profiling, Modeling and Optimization
Journal article
Ye, K., Shen, H., Wang, Y., Xu, C.Z.. Multi-tier Workload Consolidations in the Cloud:Profiling, Modeling and Optimization[J]. IEEE Transactions on Cloud Computing, 2020, 1-13.
Authors:
Ye, K.
;
Shen, H.
;
Wang, Y.
;
Xu, C.Z.
Favorite
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IF:
5.3
/
4.6
|
Submit date:2022/01/26
Cloud computing
Optimization
Servers
Time factors
Databases
Measurement
Interference
A Novel Labor Division Strategy Based on Fixed Response Threshold Model for Warehouse Systems
Journal article
Liu, Y., Wang, L., Liu, M., Xu, C.Z.. A Novel Labor Division Strategy Based on Fixed Response Threshold Model for Warehouse Systems[J]. International Journal of Robotics & Automation, 2020, 132-139.
Authors:
Liu, Y.
;
Wang, L.
;
Liu, M.
;
Xu, C.Z.
Favorite
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Submit date:2022/01/26
Warehouse systems
labour division
fixed response threshold model
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