Yu Liu

53 papers A* 5A 5B 2C 2Journal 33Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Arbiter: Towards joint and fine-grained index and partition tuning in analytical databases.
Inf. Process. Manag.
Fengrui Liu, Rukai Wei, Hua Wang, Zhaorui Ding, Zhongcong Mo, Ke Zhou, Yu Liu
2025 J jnl
Graph Contrastive-and-Reconstructive Hashing for Unsupervised Cross-Modal Retrieval.
Data Sci. Eng.
Rukai Wei, Yu Liu, Heng Cui, Yanzhao Xie, Ke Zhou
2025 J jnl
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy.
CoRR
Yunchuan Guan, Yu Liu, Ke Zhou, Zhiqi Shen, Jenq-Neng Hwang, Serge J. Belongie, Lei Li
2025 A conf
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance.
ECAI
Yunchuan Guan, Yu Liu, Ke Zhou, Hui Li, Sen Jia, Zhiqi Shen, Ziyang Wang, Xinglin Zhang, Tao Chen, Jenq-Neng Hwang, Lei Li
2025 J jnl
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance.
CoRR
Yunchuan Guan, Yu Liu, Ke Zhou, Hui Li, Sen Jia, Zhiqi Shen, Ziyang Wang, Xinglin Zhang, Tao Chen, Jenq-Neng Hwang, Lei Li
2025 J jnl
Learning to Learn Weight Generation via Trajectory Diffusion.
CoRR
Yunchuan Guan, Yu Liu, Ke Zhou, Zhiqi Shen, Serge J. Belongie, Jenq-Neng Hwang, Lei Li
2025 J jnl
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression.
Proc. VLDB Endow.
Baoqing Cai, Yu Liu, Lin Ma, Pingqi Huang, Bingcheng Lian, Ke Zhou, Jia Yuan, Jie Yang, Xiaofan Cai, PeiJun Wu
2025 A* conf
TopTune: Tailored Optimization for Categorical and Continuous Knobs Towards Accelerated and Improved Database Performance Tuning.
ICDE
Rukai Wei, Yu Liu, Yufeng Hou, Heng Cui, Yongqiang Zhang, Ke Zhou
2024 J jnl
$\varepsilon$ɛ-LAP: A Lightweight and Adaptive Cache Partitioning Scheme With Prudent Resizing Decisions for Content Delivery Networks.
IEEE Trans. Cloud Comput.
Peng Wang, Yu Liu, Ziqi Liu, Zhelong Zhao, Ke Liu, Ke Zhou, Zhihai Huang
2024 J jnl
Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks.
IEEE Trans. Parallel Distributed Syst.
Peng Wang, Hong Jiang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang
2024 — conf
CGHit: A Content-Oriented Generative-Hit Framework for Content Delivery Networks.
NAS
Peng Wang, Yu Liu, Kai Han, Ziqi Liu, Ke Liu, Mingyang Wang, Ke Zhou, Zhihai Huang
2024 J jnl
CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks.
CoRR
Peng Wang, Yu Liu, Ziqi Liu, Mingyang Wang, Ke Liu, Ke Zhou, Zhihai Huang
2024 A conf
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval.
ICME
Rukai Wei, Heng Cui, Yu Liu, Yanzhao Xie, Yufeng Hou, Ke Zhou
2024 J jnl
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval.
CoRR
Rukai Wei, Heng Cui, Yu Liu, Yufeng Hou, Yanzhao Xie, Ke Zhou
2024 J jnl
Exploring Hierarchical Information in Hyperbolic Space for Self-Supervised Image Hashing.
IEEE Trans. Image Process.
Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou
2024 J jnl
Supervised Hierarchical Online Hashing for Cross-modal Retrieval.
ACM Trans. Multim. Comput. Commun. Appl.
Kai Han, Yu Liu, Rukai Wei, Ke Zhou, Jinhui Xu, Kun Long
2024 J jnl
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification.
CoRR
Yunchuan Guan, Yu Liu, Ketong Liu, Ke Zhou, Zhiqi Shen
2023 J jnl
A disk failure prediction model for multiple issues.
Frontiers Inf. Technol. Electron. Eng.
Yunchuan Guan, Yu Liu, Ke Zhou, Qiang Li, Tuanjie Wang, Hui Li
2023 J jnl
A hash centroid construction method with Swin transformer for multi-label image retrieval.
Neural Comput. Appl.
Yanzhao Xie, Yangtao Wang, Rukai Wei, Yu Liu, Ke Zhou, Lisheng Fan
2023 A* conf
CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing.
ACM Multimedia
Rukai Wei, Yu Liu, Jingkuan Song, Heng Cui, Yanzhao Xie, Ke Zhou
2023 J jnl
CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing.
CoRR
Rukai Wei, Yu Liu, Jingkuan Song, Heng Cui, Yanzhao Xie, Ke Zhou
2023 J jnl
Deep debiased contrastive hashing.
Pattern Recognit.
Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou
2023 A conf
Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning.
CIKM
Yunchuan Guan, Yu Liu, Ke Zhou, Junyuan Huang
2023 J jnl
How visual chirality affects the performance of image hashing.
Neural Comput. Appl.
Yanzhao Xie, Guangxing Hu, Yu Liu, Zhiqiu Lin, Ke Zhou, Yuhong Zhao
2023 J jnl
Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval.
IEEE Trans. Multim.
Yanzhao Xie, Rukai Wei, Jingkuan Song, Yu Liu, Yangtao Wang, Ke Zhou
2023 J jnl
SPAE: Lifelong disk failure prediction via end-to-end GAN-based anomaly detection with ensemble update.
Future Gener. Comput. Syst.
Yu Liu, Yunchuan Guan, Tianming Jiang, Ke Zhou, Hua Wang, Guangxing Hu, Ji Zhang, Wei Fang, Zhuo Cheng, Ping Huang
2023 B conf
Smart Cache Insertion and Promotion Policy for Content Delivery Networks.
ICPP
Peng Wang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang, Yanxiong Chen
2022 C conf
A Lightweight and Adaptive Cache Partitioning Scheme for Content Delivery Networks.
ICCD
Peng Wang, Zhelong Zhao, Yu Liu, Ke Zhou, Zhihai Huang, Yanxiong Chen
2022 J jnl
A survey on AI for storage.
CCF Trans. High Perform. Comput.
Yu Liu, Hua Wang, Ke Zhou, Chunhua Li, Rengeng Wu
2022 C conf
Adaptive Size-Aware Cache Insertion Policy for Content Delivery Networks.
ICCD
Peng Wang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang, Yanxiong Chen
2022 — conf
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements.
SIGMOD Conference
Baoqing Cai, Yu Liu, Ce Zhang, Guangyu Zhang, Ke Zhou, Li Liu, Chunhua Li, Bin Cheng, Jie Yang, Jiashu Xing
2022 J jnl
Hyperbolic Hierarchical Contrastive Hashing.
CoRR
Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou
2022 J jnl
Label graph learning for multi-label image recognition with cross-modal fusion.
Multim. Tools Appl.
Yanzhao Xie, Yangtao Wang, Yu Liu, Ke Zhou
2022 J jnl
Optimizing Replacement Policies for Content Delivery Network Caching: Beyond Belady to Attain A Seemingly Unattainable Byte Miss Ratio.
CoRR
Peng Wang, Yu Liu
2022 — conf
Self-supervised Label-Visual Correlation Hashing for Multi-label Image Retrieval.
APWeb/WAIM (2)
Yu Liu, Yanzhao Xie, Jingkuan Song, Rukai Wei, Ke Zhou
2021 J jnl
$\hbox {CDBTune}^{+}$: An efficient deep reinforcement learning-based automatic cloud database tuning system.
VLDB J.
Ji Zhang, Ke Zhou, Guoliang Li, Yu Liu, Ming Xie, Bin Cheng, Jiashu Xing
2021 J jnl
Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data.
Trans. Data Sci.
Yu Liu, Yangtao Wang, Lianli Gao, Chan Guo, Yanzhao Xie, Zhili Xiao
2021 B conf
G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition.
ICMR
Yangtao Wang, Yanzhao Xie, Yu Liu, Lisheng Fan
2021 J jnl
Multi-view clustering via neighbor domain correlation learning.
Neural Comput. Appl.
Xiaocui Li, Ke Zhou, Chunhua Li, Xinyu Zhang, Yu Liu, Yangtao Wang
2021 J jnl
Unsupervised deep hashing with node representation for image retrieval.
Pattern Recognit.
Yangtao Wang, Jingkuan Song, Ke Zhou, Yu Liu
2020 J jnl
A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions.
World Wide Web
Xiaocui Li, Yangtao Wang, Jingkuan Song, Yu Liu, Xinyu Zhang, Ke Zhou, Chunhua Li
2020 A* conf
Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis.
DAC
Yu Liu, Hong Jiang, Yangtao Wang, Ke Zhou, Yifei Liu, Li Liu
2020 A conf
Deep Self-Taught Graph Embedding Hashing With Pseudo Labels For Image Retrieval.
ICME
Yu Liu, Yangtao Wang, Jingkuan Song, Chan Guo, Ke Zhou, Zhili Xiao
2020 A conf
Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion.
CIKM
Yangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou, Xiaocui Li
2020 A* conf
Label-Attended Hashing for Multi-Label Image Retrieval.
IJCAI
Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou
2020 J jnl
Semantic-aware data quality assessment for image big data.
Future Gener. Comput. Syst.
Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang, Yifei Liu
2019 — conf
A Framework for Image Dark Data Assessment.
APWeb/WAIM (1)
Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang, Yifei Liu, Jingkuan Song, Zhili Xiao
2019 — conf
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning.
SIGMOD Conference
Ji Zhang, Yu Liu, Ke Zhou, Guoliang Li, Zhili Xiao, Bin Cheng, Jiashu Xing, Yangtao Wang, Tianheng Cheng, Li Liu, Minwei Ran, Zekang Li
2019 — conf
Analysis and Management to Hash-Based Graph and Rank.
APWeb/WAIM (1)
Yangtao Wang, Yu Liu, Yifei Liu, Ke Zhou, Yujuan Yang, Jiangfeng Zeng, Xiaodong Xu, Zhili Xiao
2019 J jnl
Deep Self-Taught Hashing for Image Retrieval.
IEEE Trans. Cybern.
Yu Liu, Jingkuan Song, Ke Zhou, Lingyu Yan, Li Liu, Fuhao Zou, Ling Shao
2018 J jnl
Deep sentiment hashing for text retrieval in social CIoT.
Future Gener. Comput. Syst.
Ke Zhou, Jiangfeng Zeng, Yu Liu, Fuhao Zou
2016 J jnl
Multi-view multi-label learning for image annotation.
Multim. Tools Appl.
Fuhao Zou, Yu Liu, Hua Wang, Jingkuan Song, Jie Shao, Ke Zhou, Sheng Zheng
2015 A* conf
Deep Self-taught Hashing for Image Retrieval.
ACM Multimedia
Ke Zhou, Yu Liu, Jingkuan Song, Linyu Yan, Fuhao Zou, Fumin Shen