World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
8768
World Ranking
9601
National Ranking
4070

Overview

Shipeng Yu is affiliated with LinkedIn in the United States and has a research focus primarily in the field of Engineering. Their work prominently spans several subfields, including Electrical and Electronic Engineering, Artificial Intelligence, Automotive Engineering, Mechanical Engineering, and Control and Systems Engineering.

The research topics associated with Shipeng Yu's publications include:

  • Advancements in Battery Materials
  • Advanced Battery Technologies Research
  • Advanced Battery Materials and Technologies
  • Gear and Bearing Dynamics Analysis
  • Mechanical Engineering and Vibrations Research
  • Iterative Learning Control Systems
  • Quantum Computing Algorithms and Architecture

Shipeng Yu has contributed multiple papers to various academic and professional venues. Selected recent publications include:

  • "A sandwich-like CMC-based/graphene/CMC-based conductive agent prepared from needle coke for high-performance LiFePO4 batteries" (2023), published in Carbon Letters
  • "Dynamic characteristics of the ring gear structure of two-stage plastic planetary reducers" (2023), published in the Journal of the Brazilian Society of Mechanical Sciences and Engineering
  • "An Interview with Dr. Shipeng Yu, Winner of ACM SIGKDD 2021 Service Award" (2021), published in ACM SIGKDD Explorations Newsletter
  • "Synthesis of Sandwich Structure Cmc/Graphene/Cmc Using Needle Coke as Conductive Agent for High Performance Lifepo4 Batteries" (2023), published in SSRN Electronic Journal
  • "Correction: A sandwich-like CMC-based/graphene/CMC-based conductive agent prepared from needle coke for high-performance LiFePO4 batteries" (2023), published in Carbon Letters

Frequent publication venues for Shipeng Yu's work include:

  • Carbon Letters
  • Journal of the Brazilian Society of Mechanical Sciences and Engineering
  • ACM SIGKDD Explorations Newsletter
  • SSRN Electronic Journal
  • arXiv (Cornell University)

Collaborations have been an element of Shipeng Yu's research, with frequent co-authors comprising Jin Zou, Xi-Xi Long, Jia-Le He, Shengwen Zhong, and Defeng Wang.

Best Publications

  • Learning From Crowds

    Vikas C. Raykar;Shipeng Yu;Linda H. Zhao;Gerardo Hermosillo Valadez

  • VIPS: a Vision-based Page Segmentation Algorithm

    Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma

  • Extracting content structure for web pages based on visual representation

    Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma

  • Supervised learning from multiple experts: whom to trust when everyone lies a bit

    Vikas C. Raykar;Shipeng Yu;Linda H. Zhao;Anna Jerebko

  • Improving pseudo-relevance feedback in web information retrieval using web page segmentation

    Shipeng Yu;Deng Cai;Ji-Rong Wen;Wei-Ying Ma

  • Eliminating spammers and ranking annotators for crowdsourced labeling tasks

    Vikas C. Raykar;Shipeng Yu

  • Multi-label informed latent semantic indexing

    Kai Yu;Shipeng Yu;Volker Tresp

  • Stochastic Relational Models for Discriminative Link Prediction

    Kai Yu;Wei Chu;Shipeng Yu;Volker Tresp

  • Block-based web search

    Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma

  • Extracting shared subspace for multi-label classification

    Shuiwang Ji;Lei Tang;Shipeng Yu;Jieping Ye

  • Bayesian Co-Training

    Shipeng Yu;Balaji Krishnapuram;Rómer Rosales;R. Bharat Rao

  • Bayesian Co-Training

    Shipeng Yu;Balaji Krishnapuram;Harald Steck;R. B. Rao

  • Supervised probabilistic principal component analysis

    Shipeng Yu;Kai Yu;Volker Tresp;Hans-Peter Kriegel

  • A shared-subspace learning framework for multi-label classification

    Shuiwang Ji;Lei Tang;Shipeng Yu;Jieping Ye

  • Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare

    Volker Tresp;J. Marc Overhage;Markus Bundschus;Shahrooz Rabizadeh

  • Predicting readmission risk with institution-specific prediction models

    Shipeng Yu;Faisal Farooq;Alexander van Esbroeck;Glenn Fung

  • Soft Clustering on Graphs

    Kai Yu;Shipeng Yu;Volker Tresp

  • Computer-Based Patient Management for Healthcare

    Faisal Farooq;Romer E. Rosales;Shipeng Yu;Balaji Krishnapuram

  • Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy.

    K Jayasurya;G Fung;S Yu;C Dehing-Oberije

  • An Improved Multi-task Learning Approach with Applications in Medical Diagnosis

    Jinbo Bi;Tao Xiong;Shipeng Yu;Murat Dundar

Frequent Co-Authors

Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Glenn Fung
Glenn Fung American Family Insurance
Jinbo Bi
Jinbo Bi University of Connecticut
Hans-Peter Kriegel
Hans-Peter Kriegel Ludwig-Maximilians-Universität München
Deng Cai
Deng Cai Zhejiang University
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Jieping Ye
Jieping Ye Alibaba Group (China)
Le Lu
Le Lu Alibaba Group (China)
Shuiwang Ji
Shuiwang Ji Texas A&M University

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