Zhaoning Zhang

Orcid: 0000-0001-7518-1385

Affiliations:

National University of Defense Technology, China

According to our database¹, Zhaoning Zhang authored at least 33 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

DELTA: Memory-Efficient Training via Dynamic Fine-Grained Recomputation and Swapping.

[BibT_eX]

[DOI]

ACM Trans. Archit. Code Optim., December, 2024

Adaptive Selective Knowledge Distillation: Not Blindly Accepting Teachers as Oracles.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the Computational Visual Media - 12th International Conference, 2024

2021

ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, 2021

2019

ThunderNet: Towards Real-time Generic Object Detection.

[BibT_eX]

[DOI]

CoRR, 2019

HPDL: Towards a General Framework for High-performance Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Correlation Congruence for Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUs.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

2018

Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications.

[BibT_eX]

[DOI]

CoRR, 2018

FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy.

[BibT_eX]

[DOI]

CoRR, 2018

Merging-and-Evolution Networks for Mobile Vision Applications.

[BibT_eX]

[DOI]

IEEE Access, 2018

Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Nominal Data Similarity: A Hierarchical Measure.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Quick Survey on Large Scale Distributed Deep Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Fd-Mobilenet: Improved Mobilenet with a Fast Downsampling Strategy.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Workload Characterization and Evolutionary Analyses of Tianhe-1A Supercomputer.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2018, 2018

An Empirical Study of Face Recognition under Variations.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

An Experimental Perspective for Computation-Efficient Neural Networks Training.

[BibT_eX]

[DOI]

Proceedings of the Advanced Computer Architecture - 12th Conference, 2018

2017

GraphA: Adaptive Partitioning for Natural Graphs.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

S-OHEM: Stratified Online Hard Example Mining for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

Large-scale virtual machines provisioning in clouds: challenges and approaches.

[BibT_eX]

[DOI]

Zhaoning Zhang

Dongsheng Li

Kui Wu

Frontiers Comput. Sci., 2016

DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets.

[BibT_eX]

[DOI]

Proceedings of the Network and Parallel Computing, 2016

2014

VMThunder: Fast Provisioning of Large-Scale Virtual Machine Clusters.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2014

Computing Model of Airspace Utilization Rate Based on Airspace Load.

[BibT_eX]

[DOI]

Zhaoning Zhang

Ping Wang

J. Networks, 2014

DLSM: Decoupled Live Storage Migration with Distributed Device Mapper Storage.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

CoCache: Multi-layer Multi-path Cooperative Cache Accelerating the Deployment of Large Scale Virtual Machines.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

RAFlow: Read Ahead Accelerated I/O Flow through Multiple Virtual Layers.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Networking, 2014

2012

Safety Separation Assessment in Free Flight Based on Conflict Area.

[BibT_eX]

[DOI]

Zhaoning Zhang

Chang Sun

Peng Zhou

J. Comput., 2012

A Reality Check of Multiple Snowball Tree File Dissemination in Large Scale Cloud Cluster.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, 2012

Zhaoning Zhang

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