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Shenghuo Zhu

Shenghuo Zhu

D-Index & Metrics

Computer Science

D-Index
53
Citations
12955
World Ranking
4768
National Ranking
637

Overview

Shenghuo Zhu is a researcher affiliated with Aibee in China, whose work primarily spans computer science and engineering disciplines. Their research focuses on areas within artificial intelligence and computational mechanics, reflecting a blend of theoretical and applied methodologies.

The main subjects of Shenghuo Zhu's scholarly contributions include:

  • Sparse and Compressive Sensing Techniques
  • Stochastic Gradient Optimization Techniques
  • Domain Adaptation and Few-Shot Learning

One of their recent publications is titled "High-dimensional model recovery from random sketched data by exploring intrinsic sparsity", published in 2020 in the journal Machine Learning. This paper examines model recovery through sparsity in the context of sketched data.

Shenghuo Zhu has collaborated frequently with several coauthors who contribute to overlapping academic interests. Notable collaborators include:

  • Tianbao Yang
  • Lijun Zhang
  • Qihang Lin
  • Rong Jin

The researcher's publications have been featured in prominent academic venues. The most cited venue in their record is:

  • Machine Learning

Overall, Shenghuo Zhu's contributions lie within broad fields such as computer science and engineering, with a more concentrated focus on artificial intelligence and computational mechanics subfields.

Best Publications

  • Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning

    Hao Yu;Sen Yang;Shenghuo Zhu

  • Facetnet: a framework for analyzing communities and their evolutions in dynamic networks

    Yu-Ru Lin;Yun Chi;Shenghuo Zhu;Hari Sundaram

  • Large-scale image classification: Fast feature extraction and SVM training

    Yuanqing Lin;Fengjun Lv;Shenghuo Zhu;Ming Yang

  • Regionlets for Generic Object Detection

    Xiaoyu Wang;Ming Yang;Shenghuo Zhu;Yuanqing Lin

  • Regionlets for Generic Object Detection

    Xiaoyu Wang;Ming Yang;Shenghuo Zhu;Yuanqing Lin

  • Community discovery using nonnegative matrix factorization

    Fei Wang;Tao Li;Xin Wang;Shenghuo Zhu

  • Combining link and content for community detection: a discriminative approach

    Tianbao Yang;Rong Jin;Yun Chi;Shenghuo Zhu

  • Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization

    Dingding Wang;Tao Li;Shenghuo Zhu;Chris Ding

  • Detecting communities and their evolutions in dynamic social networks--a Bayesian approach

    Tianbao Yang;Yun Chi;Shenghuo Zhu;Yihong Gong

  • A survey on wavelet applications in data mining

    Tao Li;Qi Li;Shenghuo Zhu;Mitsunori Ogihara

  • Analyzing communities and their evolutions in dynamic social networks

    Yu-Ru Lin;Yun Chi;Shenghuo Zhu;Hari Sundaram

  • Using discriminant analysis for multi-class classification: an experimental investigation

    Tao Li;Shenghuo Zhu;Mitsunori Ogihara

  • Combining content and link for classification using matrix factorization

    Shenghuo Zhu;Kai Yu;Yun Chi;Yihong Gong

  • Multi-labelled classification using maximum entropy method

    Shenghuo Zhu;Xiang Ji;Wei Xu;Yihong Gong

  • Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM

    Cong Leng;Hao Li;Shenghuo Zhu;Rong Jin

  • Efficient Object Detection and Segmentation for Fine-Grained Recognition

    Anelia Angelova;Shenghuo Zhu

  • Contextual weighting for vocabulary tree based image retrieval

    Xiaoyu Wang;Ming Yang;Timothee Cour;Shenghuo Zhu

  • RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series

    Qingsong Wen;Jingkun Gao;Xiaomin Song;Liang Sun

  • Fast nonparametric matrix factorization for large-scale collaborative filtering

    Kai Yu;Shenghuo Zhu;John Lafferty;Yihong Gong

  • Multi-Document Summarization using Sentence-based Topic Models

    Dingding Wang;Shenghuo Zhu;Tao Li;Yihong Gong

  • Predicting query execution time: Are optimizer cost models really unusable?

    Wentao Wu;Yun Chi;Shenghuo Zhu;J. Tatemura

Frequent Co-Authors

Rong Jin
Rong Jin Alibaba Group (China)
Yihong Gong
Yihong Gong Xi'an Jiaotong University
Tao Li
Tao Li Florida International University
Tianbao Yang
Tianbao Yang Texas A&M University
Yun Chi
Yun Chi Robinhood
Mitsunori Ogihara
Mitsunori Ogihara University of Miami
Yuanqing Lin
Yuanqing Lin Aibee Inc.
Belle L. Tseng
Belle L. Tseng Apple (United States)
Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Zhongfei Zhang
Zhongfei Zhang Binghamton University

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