Yanzhao Wu
Title
Cited by
Cited by
Year
CCAligner: a token based large-gap clone detector
P Wang, J Svajlenko, Y Wu, Y Xu, CK Roy
Proceedings of the 40th International Conference on Software Engineering …, 2018
622018
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks
Y Wu, L Liu, J Bae, KH Chow, A Iyengar, C Pu, W Wei, L Yu, Q Zhang
2019 IEEE International Conference on Big Data (Big Data), 1971-1980, 2019
352019
A Framework for Evaluating Client Privacy Leakages in Federated Learning
W Wei, L Liu, M Loper, KH Chow, ME Gursoy, S Truex, Y Wu
European Symposium on Research in Computer Security, 545-566, 2020
28*2020
A comparative measurement study of deep learning as a service framework
Y Wu, L Liu, C Pu, W Cao, S Sahin, W Wei, Q Zhang
IEEE Transactions on Services Computing, 2019
272019
Deep neural network ensembles against deception: Ensemble diversity, accuracy and robustness
L Liu, W Wei, KH Chow, M Loper, E Gursoy, S Truex, Y Wu
2019 IEEE 16th international conference on mobile ad hoc and sensor systems …, 2019
232019
Benchmarking deep learning frameworks: Design considerations, metrics and beyond
L Liu, Y Wu, W Wei, W Cao, S Sahin, Q Zhang
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
222018
Adversarial examples in deep learning: Characterization and divergence
W Wei, L Liu, M Loper, S Truex, L Yu, ME Gursoy, Y Wu
arXiv preprint arXiv:1807.00051, 2018
172018
Denoising and verification cross-layer ensemble against black-box adversarial attacks
KH Chow, W Wei, Y Wu, L Liu
2019 IEEE International Conference on Big Data (Big Data), 1282-1291, 2019
122019
Experimental characterizations and analysis of deep learning frameworks
Y Wu, W Cao, S Sahin, L Liu
2018 IEEE International Conference on Big Data (Big Data), 372-377, 2018
122018
Cross-layer strategic ensemble defense against adversarial examples
W Wei, L Liu, M Loper, KH Chow, E Gursoy, S Truex, Y Wu
2020 International Conference on Computing, Networking and Communications …, 2020
92020
Memory disaggregation: Research problems and opportunities
L Liu, W Cao, S Sahin, Q Zhang, J Bae, Y Wu
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
72019
Understanding Object Detection Through an Adversarial Lens
KH Chow, L Liu, ME Gursoy, S Truex, W Wei, Y Wu
European Symposium on Research in Computer Security, 460-481, 2020
42020
Promoting High Diversity Ensemble Learning with EnsembleBench
Y Wu, L Liu, Z Xie, J Bae, KH Chow, W Wei
2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020
32020
TOG: targeted adversarial objectness gradient attacks on real-time object detection systems
KH Chow, L Liu, ME Gursoy, S Truex, W Wei, Y Wu
arXiv preprint arXiv:2004.04320, 2020
32020
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems
KH Chow, L Liu, M Loper, J Bae, ME Gursoy, S Truex, W Wei, Y Wu
2020 Second IEEE International Conference on Trust, Privacy and Security in …, 2020
22020
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics
Y Wu, L Liu, Z Xie, KH Chow, W Wei
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
12021
Cross-Modal Joint Embedding with Diverse Semantics
Z Xie, L Liu, Y Wu, L Li, L Zhong
2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020
12020
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads
J Bae, G Su, A Iyengar, Y Wu, L Liu
The International Symposium on Memory Systems, 194-208, 2020
12020
Parallel Detection for Efficient Video Analytics at the Edge
Y Wu, L Liu, R Kompella
arXiv preprint arXiv:2107.12563, 2021
2021
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
Z Xie, L Liu, Y Wu, L Li, L Zhong
IEEE Transactions on Services Computing, 2021
2021
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