2026 Ping Li: 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	38	10331	10040	1278	1272	145	5450

Research.com Recognitions

2010 - IEEE Fellow For contributions to iterative signal processing, multi-user detection and concatenated error control codes

Overview

Ping Li is affiliated with Baidu (China) and has contributed extensively to research in Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing, and Ecology. Their research output reflects significant involvement in areas related to image and video processing, machine learning, and multimodal data analysis.

Their recent publications span a range of topics and appeared in notable venues. Among these are:

S²-MLP: Spatial-Shift MLP Architecture for Vision (2022), published in the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Exploring global diverse attention via pairwise temporal relation for video summarization (2020), published in Pattern Recognition
Impact of carbon tax on enterprise operation and production strategy for low-carbon products in a co-opetition supply chain (2020), published in Journal of Cleaner Production
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems (2020), published in arXiv (Cornell University)
Peroxisomal oxidation of erucic acid suppresses mitochondrial fatty acid oxidation by stimulating malonyl-CoA formation in the rat liver (2020), published in Journal of Biological Chemistry

Frequent coauthors include:

Xianghua Xu
Xin Zhou
Tao Wang
Tan Yu
Xiaoyun Li

Their work has been prominently published in venues such as:

arXiv (Cornell University)
SSRN Electronic Journal
Pattern Recognition
Neurocomputing
Proceedings of the AAAI Conference on Artificial Intelligence

Research topics they have addressed include:

Advanced Image and Video Retrieval Techniques
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Video Analysis and Summarization
Anomaly Detection Techniques and Applications
Human Pose and Action Recognition
Face and Expression Recognition

Ping Li has been recognized as an IEEE Fellow since 2010 for contributions to iterative signal processing, multi-user detection, and concatenated error control codes.

Best Publications

Very sparse random projections

Ping Li;Trevor J. Hastie;Kenneth W. Church

775
Citations
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting

Ping Li;Qiang Wu;Christopher J. Burges

442
Citations
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)

Anshumali Shrivastava;Ping Li

383
Citations
b-Bit minwise hashing

Ping Li;Christian König

251
Citations
Robust logitboost and adaptive base class (ABC) logitboost

Ping Li

144
Citations
Hashing Algorithms for Large-Scale Learning

Ping Li;Anshumali Shrivastava;Joshua L. Moore;Arnd C. König

144
Citations
Theory and applications of b-bit minwise hashing

Ping Li;Arnd Christian König

124
Citations
One Permutation Hashing

Ping Li;Art Owen;Cun-hui Zhang

123
Citations
Recovery of sparse signals via generalized orthogonal matching pursuit: A new analysis

Jian Wang;Suhyuk Kwon;Ping Li;Byonghyo Shim

114
Citations
Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs

Andy J. Ma;Jiawei Li;Pong C. Yuen;Ping Li

114
Citations
Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search

Anshumali Shrivastava;Ping Li

110
Citations
In Defense of MinHash Over SimHash

Anshumali Shrivastava;Ping Li

103
Citations
Efficient document clustering via online nonnegative matrix factorizations

Fei Wang;Ping Li;Arnd Christian König

102
Citations
Asymmetric Minwise Hashing for Indexing Binary Inner Products and Set Containment

Anshumali Shrivastava;Ping Li

93
Citations
Improved asymmetric locality sensitive hashing (ALSH) for Maximum Inner Product Search (MIPS)

Anshumali Shrivastava;Ping Li

90
Citations
Improving random projections using marginal information

Ping Li;Trevor J. Hastie;Kenneth W. Church

90
Citations
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares

Jian Wang;Ping Li

89
Citations
0-Bit Consistent Weighted Sampling

Ping Li

87
Citations
Learning to Rank Using Classification and Gradient Boosting

Ping Li;Chris J.C. Burges;Qiang Wu

86
Citations
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l 1 Using Cauchy Random Projections

Ping Li;Trevor J. Hastie;Kenneth W. Church

85
Citations
b-Bit Minwise Hashing

Ping Li;Arnd Christian Konig

3
Citations
Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_1$ Using Cauchy Random Projections

Ping Li;Trevor J. Hastie;Kenneth W. Church

2
Citations

Frequent Co-Authors

Tong Zhang University of Illinois at Urbana-Champaign

Kenneth Church Baidu (China)

Trevor Hastie Stanford University

Huan Xu Alibaba Group (China)

Peilin Zhao Tencent (China)

Michael Mitzenmacher Harvard University

Guangcan Liu Southeast University

John E. Hopcroft Cornell University

Matthias Hein University of Tübingen

Michael W. Mahoney University of California, Berkeley

External Links

Personal website of Ping Li

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