Yu Liu

Orcid: 0000-0002-1964-9278

Affiliations:

Huazhong University of Science and Technology, Wuhan, China

According to our database¹, Yu Liu authored at least 48 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., November, 2024

How good are machine learning clouds? Benchmarking two snapshots over 5 years.

[BibT_eX]

[DOI]

VLDB J., May, 2024

Supervised Hierarchical Online Hashing for Cross-modal Retrieval.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Exploring Hierarchical Information in Hyperbolic Space for Self-Supervised Image Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

$\varepsilon$ɛ-LAP: A Lightweight and Adaptive Cache Partitioning Scheme With Prudent Resizing Decisions for Content Delivery Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2024

Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification.

[BibT_eX]

[DOI]

CoRR, 2024

CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

SPAE: Lifelong disk failure prediction via end-to-end GAN-based anomaly detection with ensemble update.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., November, 2023

Deep debiased contrastive hashing.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

A hash centroid construction method with Swin transformer for multi-label image retrieval.

[BibT_eX]

[DOI]

Neural Comput. Appl., May, 2023

How visual chirality affects the performance of image hashing.

[BibT_eX]

[DOI]

Neural Comput. Appl., April, 2023

Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

A disk failure prediction model for multiple issues.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2023

CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Smart Cache Insertion and Promotion Policy for Content Delivery Networks.

[BibT_eX]

[DOI]

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Label graph learning for multi-label image recognition with cross-modal fusion.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

Optimizing Replacement Policies for Content Delivery Network Caching: Beyond Belady to Attain A Seemingly Unattainable Byte Miss Ratio.

[BibT_eX]

[DOI]

Peng Wang

Yu Liu

CoRR, 2022

Hyperbolic Hierarchical Contrastive Hashing.

[BibT_eX]

[DOI]

CoRR, 2022

A survey on AI for storage.

[BibT_eX]

[DOI]

CCF Trans. High Perform. Comput., 2022

HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

A Lightweight and Adaptive Cache Partitioning Scheme for Content Delivery Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Adaptive Size-Aware Cache Insertion Policy for Content Delivery Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Self-supervised Label-Visual Correlation Hashing for Multi-label Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

$\hbox {CDBTune}^{+}$: An efficient deep reinforcement learning-based automatic cloud database tuning system.

[BibT_eX]

[DOI]

VLDB J., 2021

Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data.

[BibT_eX]

[DOI]

Trans. Data Sci., 2021

Unsupervised deep hashing with node representation for image retrieval.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Multi-view clustering via neighbor domain correlation learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020

A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions.

[BibT_eX]

[DOI]

World Wide Web, 2020

Multi-attention deep reinforcement learning and re-ranking for vehicle re-identification.

[BibT_eX]

[DOI]

Yu Liu

Jianbing Shen

Haibo He

Neurocomputing, 2020

Semantic-aware data quality assessment for image big data.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

Label-Attended Hashing for Multi-Label Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Self-Taught Graph Embedding Hashing With Pseudo Labels For Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Better Dense Trajectories by Motion in Videos.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Deep Self-Taught Hashing for Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

Analysis and Management to Hash-Based Graph and Rank.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

A Framework for Image Dark Data Assessment.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018

MLBench: Benchmarking Machine Learning Services Against Human Experts.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Deep sentiment hashing for text retrieval in social CIoT.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Multi-view multi-label learning for image annotation.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2016

2015

Deep Self-taught Hashing for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Yu Liu

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