2026 Fei Sha: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	56	3964	3852	1885	1818	169	20114

Research.com Recognitions

2013 - Fellow of Alfred P. Sloan Foundation

Overview

Fei Sha is affiliated with the University of Southern California in the United States. Their research spans multiple areas within engineering and computer science, with a focus on civil and structural engineering, artificial intelligence, and computer vision and pattern recognition.

The main fields of study for Fei Sha include:

Engineering
Computer Science

The subfields of study cover:

Civil and Structural Engineering
Artificial Intelligence
Computer Vision and Pattern Recognition
Environmental Engineering
Atmospheric Science

Fei Sha's research topics reflect interdisciplinary applications and include:

Grouting, Rheology, and Soil Mechanics
Concrete and Cement Materials Research
Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Microbial Applications in Construction Materials
Innovative concrete reinforcement materials

Frequent co-authors collaborating with Fei Sha are:

Peng Liu
Hexiang Hu
Linlu Qiu
Guoxi Fan
Shijiu Gu

Publication venues where Fei Sha has contributed significantly include:

arXiv (Cornell University)
Construction and Building Materials
Case Studies in Construction Materials
Journal of Materials Research and Technology
Ocean Engineering

Recent papers authored or co-authored by Fei Sha are:

WeatherBench 2: A Benchmark for the Next Generation of Data-Driven Global Weather Models, 2024, Journal of Advances in Modeling Earth Systems
Deep learned tissue "fingerprints" classify breast cancers by ER/PR/Her2 status from H&E images, 2020, Scientific Reports
A recent review on multi-physics coupling between deep-sea mining equipment and marine sediment, 2023, Ocean Engineering
Microstructure and Adsorption Properties of MTMS / TEOS Co-precursor Silica Aerogels Dried at Ambient Pressure, 2021, Journal of Non-Crystalline Solids
Study on micro structure and composition distribution of concrete surface zone based on fractal theory and XCT technology, 2020, Construction and Building Materials

Fei Sha was recognized as a Fellow of the Alfred P. Sloan Foundation in 2013.

Best Publications

Geodesic flow kernel for unsupervised domain adaptation

Boqing Gong;Yuan Shi;Fei Sha;Kristen Grauman

2566
Citations
Shallow parsing with conditional random fields

Fei Sha;Fernando Pereira

1963
Citations
Synthesized Classifiers for Zero-Shot Learning

Soravit Changpinyo;Wei-Lun Chao;Boqing Gong;Fei Sha

827
Citations
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions

Han-Jia Ye;Hexiang Hu;De-Chuan Zhan;Fei Sha

771
Citations
Video Summarization with Long Short-Term Memory

Ke Zhang;Wei-Lun Chao;Fei Sha;Kristen Grauman

771
Citations
Marginalized Denoising Autoencoders for Domain Adaptation

Minmin Chen;Zhixiang Xu;Kilian Weinberger;Fei Sha

682
Citations
Learning a kernel matrix for nonlinear dimensionality reduction

Kilian Q. Weinberger;Fei Sha;Lawrence K. Saul

651
Citations
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild

Wei-Lun Chao;Soravit Changpinyo;Boqing Gong;Fei Sha

586
Citations
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification

Simon Lacoste-Julien;Fei Sha;Michael I. Jordan

527
Citations
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation

Boqing Gong;Kristen Grauman;Fei Sha

520
Citations
Marginalized Denoising Autoencoders for Domain Adaptation

Minmin Chen;Zhixiang Xu;Fei Sha;Kilian Q. Weinberger

485
Citations
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification

Andrea Frome;Yoram Singer;Fei Sha;Jitendra Malik

481
Citations
Diverse Sequential Subset Selection for Supervised Video Summarization

Boqing Gong;Wei-Lun Chao;Kristen Grauman;Fei Sha

449
Citations
Actor-Attention-Critic for Multi-Agent Reinforcement Learning

Shariq Iqbal;Fei Sha

408
Citations
Learning with Whom to Share in Multi-task Feature Learning

Zhuoliang Kang;Kristen Grauman;Fei Sha

406
Citations
Multiplicative Updates for Nonnegative Quadratic Programming

Fei Sha;Yuanqing Lin;Lawrence K. Saul;Daniel D. Lee

375
Citations
Spectral Methods for Dimensionality Reduction.

Lawrence K. Saul;Kilian Q. Weinberger;Fei Sha;Jihun Ham

361
Citations
Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines

Fei Sha;Lawrence K. Saul;Daniel D. Lee

360
Citations
Deformable Spatial Pyramid Matching for Fast Dense Correspondences

Jaechul Kim;Ce Liu;Fei Sha;Kristen Grauman

293
Citations
Non-linear Metric Learning

Dor Kedem;Stephen Tyree;Fei Sha;Gert R. Lanckriet

251
Citations

Frequent Co-Authors

Lawrence K. Saul University of California, San Diego

Kristen Grauman The University of Texas at Austin

Boqing Gong Google (United States)

Kilian Q. Weinberger Cornell University

Gaurav S. Sukhatme University of Southern California

Michael Picheny IBM (United States)

Michael Collins Google (United States)

Brian Kingsbury IBM (United States)

Michael I. Jordan University of California, Berkeley

Aram Galstyan University of Southern California

External Links

Personal website of Fei Sha Google Scholar page

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