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Computer Science

D-Index
43
Citations
7386
World Ranking
8017
National Ranking
3447

Overview

Yong Ge is affiliated with the University of Arizona in the United States. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence and Information Systems as major subfields. They also work within Automotive Engineering, Transportation, and Computer Vision and Pattern Recognition.

Their recent publication record includes research contributions in various prominent venues. Among these are:

  • DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation, 2020, IEEE Transactions on Knowledge and Data Engineering
  • DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation, 2020, arXiv (Cornell University)
  • Influence-Driven Data Poisoning for Robust Recommender Systems, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop, 2021, IEEE Transactions on Knowledge and Data Engineering
  • Multi-User Mobile Sequential Recommendation for Route Optimization, 2020, ACM Transactions on Knowledge Discovery from Data

The scientist frequently publishes in a range of venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • ACM Transactions on Knowledge Discovery from Data

Yong Ge's collaborations include work with several frequent co-authors, among them:

  • Hui Xiong
  • Le Wu
  • Defu Lian
  • Enhong Chen
  • Wei Fan

The research topics they cover include:

  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Reinforcement Learning in Robotics
  • Evolutionary Algorithms and Applications
  • Topic Modeling
  • Machine Learning and Data Classification
  • Advanced Bandit Algorithms Research

Best Publications

  • Time series classification using multi-channels deep convolutional neural networks

    Yi Zheng;Qi Liu;Enhong Chen;Yong Ge

  • An energy-efficient mobile recommender system

    Yong Ge;Hui Xiong;Alexander Tuzhilin;Keli Xiao

  • DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

    Le Wu;Junwei Li;Peijie Sun;Richang Hong

  • Point-of-Interest Recommendations: Learning Potential Check-ins from Friends

    Huayu Li;Yong Ge;Richang Hong;Hengshu Zhu

  • Exploiting multi-channels deep convolutional neural networks for multivariate time series classification

    Yi Zheng;Qi Liu;Enhong Chen;Yong Ge

  • Personalized Travel Package Recommendation

    Qi Liu;Yong Ge;Zhongmou Li;Enhong Chen

  • Geography-Aware Sequential Location Recommendation

    Defu Lian;Yongji Wu;Yong Ge;Xing Xie

  • Mobile app recommendations with security and privacy awareness

    Hengshu Zhu;Hui Xiong;Yong Ge;Enhong Chen

  • A Taxi Driving Fraud Detection System

    Yong Ge;Hui Xiong;Chuanren Liu;Zhi-Hua Zhou

  • Feature selection for high-dimensional imbalanced data

    Liuzhi Yin;Yong Ge;Keli Xiao;Xuehua Wang

  • Short and sparse text topic modeling via self-aggregation

    Xiaojun Quan;Chunyu Kit;Yong Ge;Sinno Jialin Pan

  • A Cocktail Approach for Travel Package Recommendation

    Qi Liu;Enhong Chen;Hui Xiong;Yong Ge

  • Top-Eye: top-k evolving trajectory outlier detection

    Yong Ge;Hui Xiong;Zhi-hua Zhou;Hasan Ozdemir

  • Cost-aware travel tour recommendation

    Yong Ge;Qi Liu;Hui Xiong;Alexander Tuzhilin

  • GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization

    Defu Lian;Kai Zheng;Yong Ge;Longbing Cao

  • Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services

    Le Wu;Yong Ge;Qi Liu;Enhong Chen

  • P2P Lending Survey: Platforms, Recent Advances and Prospects

    Hongke Zhao;Yong Ge;Qi Liu;Guifeng Wang

  • Discovery of Ranking Fraud for Mobile Apps

    Hengshu Zhu;Hui Xiong;Yong Ge;Enhong Chen

  • Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data

    Defu Lian;Yong Ge;Fuzheng Zhang;Nicholas Jing Yuan

  • Collaborative Neural Social Recommendation

    Le Wu;Peijie Sun;Richang Hong;Yong Ge

  • Exploiting Multi-Channels Deep Convolutional Neural Networks for Multivariate Time Series

    Yong Ge;Qi Liu;Enhong Chen;J. Leon Zhao

Frequent Co-Authors

Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Enhong Chen
Enhong Chen University of Science and Technology of China
Qi Liu
Qi Liu University of Science and Technology of China
Richang Hong
Richang Hong Hefei University of Technology
Yanjie Fu
Yanjie Fu Arizona State University
Defu Lian
Defu Lian University of Science and Technology of China
Xing Xie
Xing Xie Microsoft Research Asia (China)
Alexander Tuzhilin
Alexander Tuzhilin New York University
Meng Wang
Meng Wang Hefei University of Technology
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)

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