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Chow, Ka-Ho
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1

Adaptive Deep Neural Network Inference Optimization with EE..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Ilhan, Fatih ; Chow, Ka-Ho ; Hu, Sihao... - p. 1362-1371 , 2024
Link: https://doi.org/10.1109/..
 
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2

Atlas: Hybrid Cloud Migration Advisor for Interactive Micro..:

, In: Proceedings of the Nineteenth European Conference on Computer Systems,
Chow, Ka-Ho ; Deshpande, Umesh ; Deenadayalan, Veera.. - p. 870-887 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Demystifying Data Poisoning Attacks in Distributed Learning..:

Wei, Wenqi ; Chow, Ka-Ho ; Wu, Yanzhao.
IEEE Transactions on Services Computing.  17 (2024)  1 - p. 237-250 , 2024
Link: https://doi.org/10.1109/..
 
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4

ZipZap: Efficient Training of Language Models for Large-Sca..:

, In: Proceedings of the ACM on Web Conference 2024,
Hu, Sihao ; Huang, Tiansheng ; Chow, Ka-Ho... - p. 2807-2816 , 2024
Link: https://dl.acm.org/doi/1..
 
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5

Hierarchical Pruning of Deep Ensembles with Focal Diversity:

Wu, Yanzhao ; Chow, Ka-Ho ; Wei, Wenqi.
ACM Transactions on Intelligent Systems and Technology.  , 2023
Link: https://doi.org/10.1145/..
 
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6

SCAD: Scalability Advisor for Interactive Microservices on ..:

, In: Companion of the 2023 International Conference on Management of Data,
Chow, Ka-Ho ; Deshpande, Umesh ; Deenadhayalan, Veera.. - p. 127-130 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

Implicit Multimodal Crowdsourcing for Joint RF and Geomagne..:

Tan, Jiajie ; Wu, Hang ; Chow, Ka-Ho.
IEEE Transactions on Mobile Computing.  22 (2023)  2 - p. 935-950 , 2023
Link: https://doi.org/10.1109/..
 
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8

Hierarchical Deep Neural Network Inference for Device-Edge-..:

, In: Companion Proceedings of the ACM Web Conference 2023,
Ilhan, Fatih ; Tekin, Selim Furkan ; Hu, Sihao... - p. 302-305 , 2023
Link: https://dl.acm.org/doi/1..
 
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9

Securing Distributed SGD Against Gradient Leakage Threats:

Wei, Wenqi ; Liu, Ling ; Zhou, Jingya..
IEEE Transactions on Parallel and Distributed Systems.  34 (2023)  7 - p. 2040-2054 , 2023
Link: https://doi.org/10.1109/..
 
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10

STDLens: Model Hijacking-Resilient Federated Learning for O..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Chow, Ka-Ho ; Liu, Ling ; Wei, Wenqi.. - p. 16343-16351 , 2023
Link: https://doi.org/10.1109/..
 
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11

Model Cloaking against Gradient Leakage:

, In: 2023 IEEE International Conference on Data Mining (ICDM),
Wei, Wenqi ; Chow, Ka-Ho ; Ilhan, Fatih.. - p. 1403-1408 , 2023
Link: https://doi.org/10.1109/..
 
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12

Exploring Model Learning Heterogeneity for Boosting Ensembl..:

, In: 2023 IEEE International Conference on Data Mining (ICDM),
Wu, Yanzhao ; Chow, Ka-Ho ; Wei, Wenqi. - p. 648-657 , 2023
Link: https://doi.org/10.1109/..
 
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13

Boosting Object Detection Ensembles with Error Diversity:

, In: 2022 IEEE International Conference on Data Mining (ICDM),
Chow, Ka-Ho ; Liu, Ling - p. 903-908 , 2022
Link: https://doi.org/10.1109/..
 
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14

An Adversarial Approach to Protocol Analysis and Selection ..:

Gursoy, M. Emre ; Liu, Ling ; Chow, Ka-Ho..
IEEE Transactions on Information Forensics and Security.  17 (2022)  - p. 1785-1799 , 2022
Link: https://doi.org/10.1109/..
 
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15

DeepRest : deep resource estimation for interactive micr..:

, In: Proceedings of the Seventeenth European Conference on Computer Systems,
Chow, Ka-Ho ; Deshpande, Umesh ; Seshadri, Sangeetha. - p. 181-198 , 2022
Link: https://dl.acm.org/doi/1..
 
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