World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
10917
World Ranking
5835
National Ranking
775

Overview

Qinghua Zheng is affiliated with Xi'an Jiaotong University in China. Their primary research field is Computer Science, with a focus on several subfields and topics.

The main subfields of their research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Computer Networks and Communications
  • Statistical and Nonlinear Physics

The primary topics covered by their work are:

  • Advanced Graph Neural Networks
  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Complex Network Analysis Techniques
  • Text and Document Classification Technologies

Their recent publications include:

  • "ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Self-weighted Robust LDA for Multiclass Classification with Edge Classes," 2020, ACM Transactions on Intelligent Systems and Technology
  • "A survey on deploying mobile deep learning applications: A systemic and technical perspective," 2021, Digital Communications and Networks
  • "Semantics-Guided Contrastive Network for Zero-Shot Object Detection," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "A Deep Multi-View Framework for Anomaly Detection on Attributed Networks," 2020, IEEE Transactions on Knowledge and Data Engineering

Frequent co-authors working with Qinghua Zheng include:

  • Minnan Luo
  • Yanping Chen
  • Bo Dong
  • Feng Tian
  • Xiaojun Chang

Their publications are most often found in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Image Processing
  • Knowledge-Based Systems
  • Expert Systems with Applications

Best Publications

  • Graph Representation Learning via Graphical Mutual Information Maximization

    Zhen Peng;Wenbing Huang;Minnan Luo;Qinghua Zheng

  • Regularized Extreme Learning Machine

    Wanyu Deng;Qinghua Zheng;Lin Chen

  • GLEAM : The GaLactic and Extragalactic All-sky MWA survey

    R. B. Wayth;E. Lenc;M. E. Bell;J. R. Callingham;J. R. Callingham

  • An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition

    Minnan Luo;Xiaojun Chang;Liqiang Nie;Yi Yang

  • An E-learning Ecosystem Based on Cloud Computing Infrastructure

    Bo Dong;Qinghua Zheng;Jie Yang;Haifei Li

  • Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis

    Ming Fan;Jun Liu;Xiapu Luo;Kai Chen

  • Adaptive Unsupervised Feature Selection With Structure Regularization

    Minnan Luo;Feiping Nie;Xiaojun Chang;Yi Yang

  • A Novel Approach to Improving the Efficiency of Storing and Accessing Small Files on Hadoop: A Case Study by PowerPoint Files

    Bo Dong;Jie Qiu;Qinghua Zheng;Xiao Zhong

  • ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks

    Zhen Peng;Minnan Luo;Jundong Li;Huan Liu

  • Cross-person activity recognition using reduced kernel extreme learning machine.

    Wan-Yu Deng;Qing-Hua Zheng;Zhong-Min Wang

  • Virtual machine consolidated placement based on multi-objective biogeography-based optimization

    Qinghua Zheng;Rui Li;Xiuqi Li;Nazaraf Shah

  • ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning.

    Caixia Yan;Xiaojun Chang;Zhihui Li;Weili Guan

  • An optimized approach for storing and accessing small files on cloud storage

    Bo Dong;Qinghua Zheng;Feng Tian;Kuo-Ming Chao

  • BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing

    Bo Dong;Qinghua Zheng;Mu Qiao;Jian Shu

  • Power-Aware and Performance-Guaranteed Virtual Machine Placement in the Cloud

    Hui Zhao;Jing Wang;Feng Liu;Quan Wang

  • A multi-constraint learning path recommendation algorithm based on knowledge map

    Haiping Zhu;Feng Tian;Ke Wu;Nazaraf Shah

  • Automatic extraction of titles from general documents using machine learning

    Yunhua Hu;Hang Li;Yunbo Cao;Dmitriy Meyerzon

  • Ordinal extreme learning machine

    Wan-Yu Deng;Qing-Hua Zheng;Shiguo Lian;Lin Chen

  • Service Candidate Identification from Monolithic Systems Based on Execution Traces

    Wuxia Jin;Ting Liu;Yuanfang Cai;Rick Kazman

  • Self-weighted Robust LDA for Multiclass Classification with Edge Classes

    Caixia Yan;Xiaojun Chang;Minnan Luo;Qinghua Zheng

  • A Fast Reduced Kernel Extreme Learning Machine

    Wan-Yu Deng;Yew-Soon Ong;Qing-Hua Zheng

Frequent Co-Authors

Bryan Gaensler
Bryan Gaensler University of California, Santa Cruz
Lister Staveley-Smith
Lister Staveley-Smith University of Western Australia
Steven Tingay
Steven Tingay Curtin University
David L. Kaplan
David L. Kaplan University of Wisconsin–Milwaukee
Gianni Bernardi
Gianni Bernardi National Institute for Astrophysics
Xiaohong Guan
Xiaohong Guan Xi'an Jiaotong University
Zijiang Yang
Zijiang Yang Western Michigan University
Zheng Yan
Zheng Yan Xidian University
Lincoln J. Greenhill
Lincoln J. Greenhill Harvard University
Yan Chen
Yan Chen Northwestern University

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