Ke Zhou

发表

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

Yangtao Wang, Y. Xie, Yu Liu, 2020, CIKM.

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

Hong Jiang, Yangtao Wang, Yu Liu, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Feature attention based detection model for medical text

Ke Zhou, Xiao Fu, Qubo Xie, 2019, J. Intell. Fuzzy Syst..

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

Yu Liu, Ke Zhou, Ce Zhang, 2022, SIGMOD Conference.

Correction to: A Framework for Image Dark Data Assessment

Yu Liu, Jingkuan Song, Yifei Liu, 2019, Web and Big Data.

Multi-view clustering via neighbor domain correlation learning

Yangtao Wang, Ke Zhou, Xiaocui Li, 2020, Neural Computing and Applications.

Hyperbolic Hierarchical Contrastive Hashing

Jingkuan Song, Yu Liu, Ke Zhou, 2022, ArXiv.

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

Ke Zhou, Bin Cheng, Li Liu, 2019, SIGMOD Conference.

Deep Self-Taught Hashing for Image Retrieval

Ling Shao, Ke Zhou, Jingkuan Song, 2019, IEEE Transactions on Cybernetics.

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

Ke Zhou, Yangtao Wang, Yu Liu, 2020, CIKM.

Label-Attended Hashing for Multi-Label Image Retrieval

Peng Wang, Ke Zhou, Lianli Gao, 2020, IJCAI.

Semi-supervised clustering with deep metric learning and graph embedding

Xiaofang Zhou, Hongzhi Yin, Ke Zhou, 2019, World Wide Web.

Feature aggregating hashing for image copy detection

Lianli Gao, Lingyu Yan, F. Zou, 2016, World wide web (Bussum).

Unsupervised deep hashing with node representation for image retrieval

Ke Zhou, Jingkuan Song, Yu Liu, 2021, Pattern Recognit..

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

Ke Zhou, Jingkuan Song, Yangtao Wang, 2020, 2020 IEEE International Conference on Multimedia and Expo (ICME).

Deep sentiment hashing for text retrieval in social CIoT

Yu Liu, Ke Zhou, Fuhao Zou, 2018, Future Gener. Comput. Syst..

A framework for image dark data assessment

Ke Zhou, Jingkuan Song, Yifei Liu, 2019, World Wide Web.

Multi-view clustering via neighbor domain correlation learning

Ke Zhou, Yangtao Wang, Chunhua Li, 2020, Neural Computing and Applications.

Supervised feature learning via l2-norm regularized logistic regression for 3D object recognition

Yang Yang, Ke Zhou, Jingkuan Song, 2015, Neurocomputing.

An Optimized Ant Colony Algorithm for Text Edge Extraction

Ke Zhou, Qubo Xie, Ke Zhou, 2019, 2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM).

Photo-realistic face age progression/regression using a single generative adversarial network

Ke Zhou, Jiangfeng Zeng, Xiao Ma, 2019, Neurocomputing.

Enhancing Attention-Based LSTM With Position Context for Aspect-Level Sentiment Classification

Xiao Ma, Ke Zhou, Jiangfeng Zeng, 2019, IEEE Access.

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

Yu Liu, Ke Zhou, Tianming Jiang, 2023, Future generations computer systems.

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

Jingkuan Song, Yangtao Wang, Yu Liu, 2020, World Wide Web.

Compact Image Fingerprint Via Multiple Kernel Hashing

Nicu Sebe, Yang Yang, Ke Zhou, 2015, IEEE Transactions on Multimedia.

Deep Self-Taught Hashing for Image Retrieval.

Ling Shao, Yu Liu, Ke Zhou, 2019, IEEE transactions on cybernetics.

Improved Review Sentiment Analysis with a Syntax-Aware Encoder

Xiao Ma, Ke Zhou, Jiangfeng Zeng, 2019, APWeb/WAIM.

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

Ke Zhou, Lisheng Fan, Yu Liu, 2023, Neural Computing and Applications.

A disk failure prediction model for multiple issues

Yu Liu, Ke Zhou, Qiang Li, 2023, Frontiers of Information Technology & Electronic Engineering.

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

Ke Zhou, Yu Liu, Jingkuan Song, 2020, World Wide Web.

CDBTune+\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {CDBTune}^{+}$$\end{document}: An efficient deep reinfor

Guoliang Li, Jiashu Xing, Ke Zhou, 2021, The VLDB journal.

Multi-view multi-label learning for image annotation

Yu Liu, Hua Wang, Ke Zhou, 2015, Multimedia Tools and Applications.

Guoliang Li, Ke Zhou, Yu Liu, 2021, The VLDB Journal.