World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
19052
World Ranking
2568
National Ranking
345

Research.com Recognitions

  • 2020 - Member of Academia Europaea
  • 2019 - ACM Distinguished Member
  • 2018 - IEEE Fellow For contributions to performance optimization and resource management of parallel and distributed systems
  • 2004 - Fellow of Alfred P. Sloan Foundation

Overview

Minyi Guo is affiliated with Shanghai Jiao Tong University in China. Their research primarily focuses on computer science, with extensive work spread across multiple subfields and topics.

The scientist has published 358 papers in the field of computer science, with major contributions in the following subfields:

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Information Systems
  • Hardware and Architecture

The main topics covered by Minyi Guo's work include:

  • Cloud Computing and Resource Management
  • Advanced Neural Network Applications
  • Parallel Computing and Optimization Techniques
  • IoT and Edge/Fog Computing
  • Advanced Data Storage Technologies
  • Caching and Content Delivery
  • Graph Theory and Algorithms

Their research outputs have appeared in several frequent publication venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Computers
  • IEEE Transactions on Parallel and Distributed Systems
  • ACM Transactions on Architecture and Code Optimization
  • Frontiers of Computer Science

Recent notable papers authored or co-authored by Minyi Guo include:

  • "Emoticon Smoothed Language Models for Twitter Sentiment Analysis," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "A deep learning system for predicting time to progression of diabetic retinopathy," 2024, Nature Medicine
  • "The Serverless Computing Survey: A Technical Primer for Design Architecture," 2022, ACM Computing Surveys
  • "Integrated image-based deep learning and language models for primary diabetes care," 2024, Nature Medicine
  • "Adaptive Resource Efficient Microservice Deployment in Cloud-Edge Continuum," 2021, IEEE Transactions on Parallel and Distributed Systems

Minyi Guo has collaborated frequently with several researchers, including:

  • Quan Chen (54 joint publications)
  • Jingwen Leng (47 joint publications)
  • Chao Li (24 joint publications)
  • Cong Guo (17 joint publications)
  • Weihao Cui (15 joint publications)

Over the course of their career, Minyi Guo has been recognized with several awards, including:

  • Member of Academia Europaea, 2020
  • ACM Distinguished Member, 2019
  • IEEE Fellow, 2018, for contributions to performance optimization and resource management of parallel and distributed systems
  • Fellow of Alfred P. Sloan Foundation, 2004

Best Publications

  • RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

    Hongwei Wang;Fuzheng Zhang;Jialin Wang;Miao Zhao

  • Knowledge Graph Convolutional Networks for Recommender Systems

    Hongwei Wang;Miao Zhao;Xing Xie;Wenjie Li

  • DKN: Deep Knowledge-Aware Network for News Recommendation

    Hongwei Wang;Fuzheng Zhang;Xing Xie;Minyi Guo

  • GraphGAN: Graph Representation Learning With Generative Adversarial Nets.

    Hongwei Wang;Jia Wang;Jialin Wang;Miao Zhao

  • Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

    Hongwei Wang;Fuzheng Zhang;Miao Zhao;Wenjie Li

  • SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

    Hongwei Wang;Fuzheng Zhang;Min Hou;Xing Xie

  • Hierarchical attribute-based encryption and scalable user revocation for sharing data in cloud servers

    Guojun Wang;Qin Liu;Jie Wu;Minyi Guo

  • Emoticon smoothed language models for twitter sentiment analysis

    Kun-Lin Liu;Wu-Jun Li;Minyi Guo

  • Simba: Efficient In-Memory Spatial Analytics

    Dong Xie;Feifei Li;Bin Yao;Gefei Li

  • Supervised hashing with latent factor models

    Peichao Zhang;Wei Zhang;Wu-Jun Li;Minyi Guo

  • SAMR: A Self-adaptive MapReduce Scheduling Algorithm in Heterogeneous Environment

    Quan Chen;Daqiang Zhang;Minyi Guo;Qianni Deng

  • A Comprehensive Survey of Blockchain: From Theory to IoT Applications and Beyond

    Mingli Wu;Kun Wang;Xiaoqin Cai;Song Guo

  • Making Big Data Open in Edges: A Resource-Efficient Blockchain-Based Approach

    Chenhan Xu;Kun Wang;Peng Li;Song Guo

  • Proceedings of the 5th international symposium on Parallel and Distributed Processing and Applications

    Ivan Stojmenovic;Ruppa K. Thulasiram;Laurence T. Yang;Weijia Jia

  • Flexible Deterministic Packet Marking: An IP Traceback System to Find the Real Source of Attacks

    Yang Xiang;Wanlei Zhou;Minyi Guo

  • Real-Time Locating Systems Using Active RFID for Internet of Things

    Daqiang Zhang;Laurence Tianruo Yang;Min Chen;Shengjie Zhao

  • Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders

    Huan Yang;Baoyuan Wang;Stephen Lin;David Wipf

  • The Serverless Computing Survey: A Technical Primer for Design Architecture

    Unknown

  • Joint Optimization of Lifetime and Transport Delay under Reliability Constraint Wireless Sensor Networks

    Mianxiong Dong;Kaoru Ota;Anfeng Liu;Minyi Guo

  • Simultaneous Multikernel GPU: Multi-tasking throughput processors via fine-grained sharing

    Zhenning Wang;Jun Yang;Rami Melhem;Bruce Childers

  • A class-feature-centroid classifier for text categorization

    Hu Guan;Jingyu Zhou;Minyi Guo

Frequent Co-Authors

Song Guo
Song Guo Hong Kong University of Science and Technology
Mianxiong Dong
Mianxiong Dong Muroran Institute of Technology
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Jie Li
Jie Li Shanghai Jiao Tong University
Kaoru Ota
Kaoru Ota Tohoku University
Guojun Wang
Guojun Wang Guangzhou University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Kun Wang
Kun Wang University of California, Los Angeles
Weijia Jia
Weijia Jia Beijing Normal University
Ilsun You
Ilsun You Kookmin University

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