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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
85
Citations
26520
World Ranking
809
National Ranking
18

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Jie Lu is affiliated with the University of Technology Sydney in Australia, specializing primarily in computer science with a focus on artificial intelligence and related subfields. Their research encompasses a range of interdisciplinary topics, notably in machine learning, domain adaptation, and data stream mining techniques.

The main fields and subfields of Ji Lu's work include:

  • Computer Science
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Management Science and Operations Research
  • Electrical and Electronic Engineering

Key research topics covered in their publications are:

  • Data Stream Mining Techniques
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and Data Classification
  • Multimodal Machine Learning Applications
  • Machine Learning and ELM (Extreme Learning Machine)
  • Anomaly Detection Techniques and Applications
  • Advanced Bandit Algorithms Research

Notable frequent co-authors with productive collaboration counts are:

  • Guangquan Zhang
  • Zhen Fang
  • Junyu Xuan
  • Anjin Liu
  • Qian Zhang

The most common venues for Jie Lu's research outputs include:

  • arXiv (Cornell University)
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Fuzzy Systems
  • SSRN Electronic Journal

Among recent papers authored or co-authored by Jie Lu are:

  • Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors, 2020, Nature Electronics
  • Artificial intelligence in recommender systems, 2020, Complex & Intelligent Systems
  • Open Set Domain Adaptation: Theoretical Bound and Algorithm, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Heterogeneous Domain Adaptation: An Unsupervised Approach, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks, 2020, IEEE Transactions on Fuzzy Systems

In addition to journal papers, Jie Lu has contributed to books published by notable academic publishers. These include three titles under Springer Nature:

  • Recent Advances in Artificial Intelligence and Data Engineering, 2021
  • Educating Engineers for Future Industrial Revolutions, 2021
  • Intelligent Computing and Applications, 2020

Additionally, Jie Lu authored a book published by World Scientific:

  • Recommender Systems, 2020

Best Publications

  • Recommender system application developments

    Jie Lu;Dianshuang Wu;Mingsong Mao;Wei Wang

  • Learning under Concept Drift: A Review

    Jie Lu;Anjin Liu;Fan Dong;Feng Gu

  • Transfer learning using computational intelligence

    Jie Lu;Vahid Behbood;Peng Hao;Hua Zuo

  • Tunable lifetime multiplexing using luminescent nanocrystals

    Yiqing Lu;Jiangbo Zhao;Run Zhang;Yujia Liu;Yujia Liu;Yujia Liu

  • Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques

    Jie Lu;Guangquan Zhang;Da Ruan

  • Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors

    Ming Wang;Zheng Yan;Ting Wang;Pingqiang Cai

  • Artificial intelligence in recommender systems

    Qian Zhang;Jie Lu;Yaochu Jin

  • Task-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization

    Fahimeh Ramezani;Jie Lu;Farookh Khadeer Hussain

  • A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises

    Xiaowei Yang;Guangquan Zhang;Jie Lu;Jun Ma

  • Multi-Objective Group Decision Making: Methods, Software and Applications with Fuzzy Set Techniques(With CD-ROM)

    Jie Lu;Guangquan Zhang;Da Ruan;Fengjie Wu

  • A Personalized e-Learning material Recommender System

    J Lu

  • A Customer Churn Prediction Model in Telecom Industry Using Boosting

    Ning Lu;Hua Lin;Jie Lu;Guangquan Zhang

  • Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services

    Khaled Amailef;Jie Lu

  • A hybrid fuzzy-based personalized recommender system for telecom products/services

    Zui Zhang;Hua Lin;Kun Liu;Dianshuang Wu

  • Operation properties and δ-equalities of complex fuzzy sets

    Guangquan Zhang;Tharam Singh Dillon;Kai-Yuan Cai;Jun Ma

  • Concept drift detection via competence models

    Ning Lu;Guangquan Zhang;Jie Lu

  • Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research

    Yi Zhang;Yi Zhang;Guangquan Zhang;Hongshu Chen;Hongshu Chen;Alan L. Porter

  • An extended Kuhn-Tucker approach for linear bilevel programming

    Chenggen Shi;Jie Lu;Guangquan Zhang

  • On-the-fly decoding luminescence lifetimes in the microsecond region for lanthanide-encoded suspension arrays

    Yiqing Lu;Jie Lu;Jiangbo Zhao;Janet Cusido

  • A trust-semantic fusion-based recommendation approach for e-business applications

    Qusai Shambour;Jie Lu

  • Decider: A fuzzy multi-criteria group decision support system

    Jun Ma;Jie Lu;Guangquan Zhang

Frequent Co-Authors

Guangquan Zhang
Guangquan Zhang University of Technology Sydney
Da Ruan
Da Ruan Ghent University
Farookh Khadeer Hussain
Farookh Khadeer Hussain University of Technology Sydney
Haiyan Lu
Haiyan Lu University of Technology Sydney
Tharam S. Dillon
Tharam S. Dillon La Trobe University
Dayong Jin
Dayong Jin University of Technology Sydney
Witold Pedrycz
Witold Pedrycz University of Alberta
Mahardhika Pratama
Mahardhika Pratama University of South Australia
Zheng Yan
Zheng Yan Xidian University
Alan L. Porter
Alan L. Porter Georgia Institute of Technology

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