Deep Self-taught Hashing for Image Retrieval. - Ke Zhou 001; Yu Liu 040; Jingkuan Song; Linyu Yan; Fuhao Zou; Fumin Shen (ACM Multimedia, 2015)

Multi-view multi-label learning for image annotation. - Fuhao Zou; Yu Liu 040; Hua Wang 008; Jingkuan Song; Jie Shao 001; Ke Zhou 001; Sheng Zheng (Multim. Tools Appl., 2016)

Deep sentiment hashing for text retrieval in social CIoT. - Ke Zhou 001; Jiangfeng Zeng; Yu Liu 040; Fuhao Zou (Future Gener. Comput. Syst., 2018)

A Framework for Image Dark Data Assessment. - Yu Liu 040; Yangtao Wang; Ke Zhou 001; Yujuan Yang; Yifei Liu; Jingkuan Song; Zhili Xiao (APWeb/WAIM (1), 2019)

Analysis and Management to Hash-Based Graph and Rank. - Yangtao Wang; Yu Liu 040; Yifei Liu; Ke Zhou 001; Yujuan Yang; Jiangfeng Zeng; Xiaodong Xu; Zhili Xiao (APWeb/WAIM (1), 2019)

An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. - Ji Zhang 010; Yu Liu 040; Ke Zhou 001; Guoliang Li 001; Zhili Xiao; Bin Cheng; Jiashu Xing; Yangtao Wang; Tianheng Cheng; Li Liu 014; Minwei Ran; Zekang Li (SIGMOD Conference, 2019)

Deep Self-Taught Hashing for Image Retrieval. - Yu Liu 040; Jingkuan Song; Ke Zhou 001; Lingyu Yan; Li Liu 004; Fuhao Zou; Ling Shao 001 (IEEE Trans. Cybern., 2019)

Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion. - Yangtao Wang; Yanzhao Xie; Yu Liu 040; Ke Zhou 001; Xiaocui Li (CIKM, 2020)

Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis. - Yu Liu 040; Hong Jiang 001; Yangtao Wang; Ke Zhou 001; Yifei Liu; Li Liu 014 (DAC, 2020)

Deep Self-Taught Graph Embedding Hashing With Pseudo Labels For Image Retrieval. - Yu Liu 040; Yangtao Wang; Jingkuan Song; Chan Guo; Ke Zhou 001; Zhili Xiao (ICME, 2020)

Label-Attended Hashing for Multi-Label Image Retrieval. - Yanzhao Xie; Yu Liu 040; Yangtao Wang; Lianli Gao; Peng Wang 037; Ke Zhou 001 (IJCAI, 2020)

Semantic-aware data quality assessment for image big data. - Yu Liu 040; Yangtao Wang; Ke Zhou 001; Yujuan Yang; Yifei Liu (Future Gener. Comput. Syst., 2020)

A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions. - Xiaocui Li; Yangtao Wang; Jingkuan Song; Yu Liu 040; Xinyu Zhang 012; Ke Zhou 001; Chunhua Li 002 (World Wide Web, 2020)

G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition. - Yangtao Wang; Yanzhao Xie; Yu Liu 040; Lisheng Fan (ICMR, 2021)

Multi-view clustering via neighbor domain correlation learning. - Xiaocui Li; Ke Zhou 001; Chunhua Li 002; Xinyu Zhang 012; Yu Liu 040; Yangtao Wang (Neural Comput. Appl., 2021)

Unsupervised deep hashing with node representation for image retrieval. - Yangtao Wang; Jingkuan Song; Ke Zhou 001; Yu Liu 040 (Pattern Recognit., 2021)

Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data. - Yu Liu 040; Yangtao Wang; Lianli Gao; Chan Guo; Yanzhao Xie; Zhili Xiao (Trans. Data Sci., 2021)

$ hbox {CDBTune}^{+}$: An efficient deep reinforcement learning-based automatic cloud database tuning system. - Ji Zhang 010; Ke Zhou 001; Guoliang Li 001; Yu Liu 040; Ming Xie; Bin Cheng; Jiashu Xing (VLDB J., 2021)

Self-supervised Label-Visual Correlation Hashing for Multi-label Image Retrieval. - Yu Liu 040; Yanzhao Xie; Jingkuan Song; Rukai Wei; Ke Zhou 001 (APWeb/WAIM (2), 2022)

Adaptive Size-Aware Cache Insertion Policy for Content Delivery Networks. - Peng Wang 037; Yu Liu 040; Zhelong Zhao; Ke Zhou 001; Zhihai Huang; Yanxiong Chen (ICCD, 2022)

A Lightweight and Adaptive Cache Partitioning Scheme for Content Delivery Networks. - Peng Wang 037; Zhelong Zhao; Yu Liu 040; Ke Zhou 001; Zhihai Huang; Yanxiong Chen (ICCD, 2022)

HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements. - Baoqing Cai; Yu Liu 040; Ce Zhang 001; Guangyu Zhang; Ke Zhou 001; Li Liu 014; Chunhua Li 002; Bin Cheng; Jie Yang; Jiashu Xing (SIGMOD Conference, 2022)

A survey on AI for storage. - Yu Liu 040; Hua Wang 008; Ke Zhou 001; Chunhua Li 002; Rengeng Wu (CCF Trans. High Perform. Comput., 2022)

Hyperbolic Hierarchical Contrastive Hashing. - Rukai Wei; Yu Liu 040; Jingkuan Song; Yanzhao Xie; Ke Zhou 001 (CoRR, 2022)

Optimizing Replacement Policies for Content Delivery Network Caching: Beyond Belady to Attain A Seemingly Unattainable Byte Miss Ratio. - Peng Wang 037; Yu Liu 040 (CoRR, 2022)

Label graph learning for multi-label image recognition with cross-modal fusion. - Yanzhao Xie; Yangtao Wang; Yu Liu 040; Ke Zhou 001 (Multim. Tools Appl., 2022)

Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning. - Yunchuan Guan; Yu Liu 040; Ke Zhou 001; Junyuan Huang (CIKM, 2023)

Smart Cache Insertion and Promotion Policy for Content Delivery Networks. - Peng Wang 037; Yu Liu 040; Zhelong Zhao; Ke Zhou 001; Zhihai Huang; Yanxiong Chen (ICPP, 2023)

CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing. - Rukai Wei; Yu Liu 040; Jingkuan Song; Heng Cui 001; Yanzhao Xie; Ke Zhou 001 (ACM Multimedia, 2023)

A disk failure prediction model for multiple issues. - Yunchuan Guan; Yu Liu 040; Ke Zhou 001; Qiang Li; Tuanjie Wang; Hui Li (Frontiers Inf. Technol. Electron. Eng., 2023)

Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval. - Yanzhao Xie; Rukai Wei; Jingkuan Song; Yu Liu 040; Yangtao Wang; Ke Zhou 001 (IEEE Trans. Multim., 2023)

How visual chirality affects the performance of image hashing. - Yanzhao Xie; Guangxing Hu; Yu Liu 040; Zhiqiu Lin; Ke Zhou 001; Yuhong Zhao (Neural Comput. Appl., 2023)

A hash centroid construction method with Swin transformer for multi-label image retrieval. - Yanzhao Xie; Yangtao Wang; Rukai Wei; Yu Liu 040; Ke Zhou 001; Lisheng Fan (Neural Comput. Appl., 2023)

Deep debiased contrastive hashing. - Rukai Wei; Yu Liu 040; Jingkuan Song; Yanzhao Xie; Ke Zhou 001 (Pattern Recognit., 2023)

SPAE: Lifelong disk failure prediction via end-to-end GAN-based anomaly detection with ensemble update. - Yu Liu 040; Yunchuan Guan; Tianming Jiang; Ke Zhou 001; Hua Wang 008; Guangxing Hu; Ji Zhang 010; Wei Fang; Zhuo Cheng; Ping Huang 001 (Future Gener. Comput. Syst., 2023)

Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval. - Rukai Wei; Heng Cui 001; Yu Liu 040; Yanzhao Xie; Yufeng Hou; Ke Zhou 001 (ICME, 2024)

CGHit: A Content-Oriented Generative-Hit Framework for Content Delivery Networks. - Peng Wang 037; Yu Liu 040; Kai Han; Ziqi Liu; Ke Liu 014; Mingyang Wang; Ke Zhou 001; Zhihai Huang (NAS, 2024)

CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks. - Peng Wang 037; Yu Liu 040; Ziqi Liu; Mingyang Wang; Ke Liu 014; Ke Zhou 001; Zhihai Huang (CoRR, 2024)

Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification. - Yunchuan Guan; Yu Liu 040; Ketong Liu; Ke Zhou 001; Zhiqi Shen 001 (CoRR, 2024)

$ varepsilon$ɛ-LAP: A Lightweight and Adaptive Cache Partitioning Scheme With Prudent Resizing Decisions for Content Delivery Networks. - Peng Wang 037; Yu Liu 040; Ziqi Liu; Zhelong Zhao; Ke Liu 014; Ke Zhou 001; Zhihai Huang (IEEE Trans. Cloud Comput., 2024)

Exploring Hierarchical Information in Hyperbolic Space for Self-Supervised Image Hashing. - Rukai Wei; Yu Liu 040; Jingkuan Song; Yanzhao Xie; Ke Zhou 001 (IEEE Trans. Image Process., 2024)

Supervised Hierarchical Online Hashing for Cross-modal Retrieval. - Kai Han; Yu Liu 040; Rukai Wei; Ke Zhou 001; Jinhui Xu; Kun Long (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks. - Peng Wang 037; Hong Jiang 001; Yu Liu 040; Zhelong Zhao; Ke Zhou 001; Zhihai Huang (IEEE Trans. Parallel Distributed Syst., 2024)

Learning to Learn Weight Generation via Trajectory Diffusion. - Yunchuan Guan; Yu Liu 040; Ke Zhou 001; Zhiqi Shen 001; Serge J. Belongie; Jenq-Neng Hwang; Lei Li 050 (CoRR, 2025)