2026 Ling Huang: 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	47	6319	6136	2824	2720	180	15146

Overview

Ling Huang is a researcher affiliated with Intel in the United States. Their body of work predominantly spans the broad fields of Computer Science and Engineering, with a strong focus on Artificial Intelligence, Computer Vision and Pattern Recognition, and Information Systems. Additional expertise includes Control and Systems Engineering and Electrical and Electronic Engineering.

The main research topics covered by Ling Huang include:

Recommender Systems and Techniques
Advanced Graph Neural Networks
Face and Expression Recognition
Topic Modeling
Advanced Image and Video Retrieval Techniques
Complex Network Analysis Techniques
Video Surveillance and Tracking Methods

Ling Huang has contributed extensively to academic literature, with at least 103 publications identified in Computer Science and 36 in Engineering. Frequent publication venues include:

arXiv (Cornell University)
SSRN Electronic Journal
IEEE Transactions on Cybernetics
IEEE Transactions on Industrial Informatics
IEEE Transactions on Neural Networks and Learning Systems

Some of the recent papers authored by or involving Ling Huang are:

Multi-View Clustering in Latent Embedding Space (2020), Proceedings of the AAAI Conference on Artificial Intelligence
Relaxed multi-view clustering in latent embedding space (2020), Information Fusion
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation (2020), IEEE Transactions on Cybernetics
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation (2021), IEEE Transactions on Industrial Informatics
Unsupervised Adversarial Instance-Level Image Retrieval (2021), IEEE Transactions on Multimedia

Ling Huang has collaborated frequently with several researchers. Notable co-authors include:

Chang-Dong Wang
Jianhuang Lai
Philip S. Yu
Yuefang Gao
Dong Huang

Best Publications

Tapestry: a resilient global-scale overlay for service deployment

B.Y. Zhao;Ling Huang;J. Stribling;S.C. Rhea

2802
Citations
Detecting Large-Scale System Problems by Mining Console Logs

Wei Xu;Ling Huang;Armando Fox;David A. Patterson

1498
Citations
Detecting large-scale system problems by mining console logs

Wei Xu;Ling Huang;Armando Fox;David Patterson

1467
Citations
Adversarial machine learning

L Huang;AD Joseph;B Nelson;Bip Rubinstein

1346
Citations
Adversarial machine learning

Ling Huang;Anthony D. Joseph;Blaine Nelson;Benjamin I.P. Rubinstein

1346
Citations
Fast approximate spectral clustering

Donghui Yan;Ling Huang;Michael I. Jordan

646
Citations
ANTIDOTE: understanding and defending against poisoning of anomaly detectors

Benjamin I.P. Rubinstein;Blaine Nelson;Ling Huang;Anthony D. Joseph

407
Citations
Brocade: Landmark Routing on Overlay Networks

Ben Y. Zhao;Yitao Duan;Ling Huang;Anthony D. Joseph

348
Citations
Juxtapp: a scalable system for detecting code reuse among android applications

Steve Hanna;Ling Huang;Edward Wu;Saung Li

318
Citations
Learning in a large function space: Privacy-preserving mechanisms for SVM learning

Benjamin I. P. Rubinstein;Peter L. Bartlett;Ling Huang;Nina Taft

288
Citations
In-Network PCA and Anomaly Detection

Ling Huang;Long Nguyen;Minos Garofalakis;Michael I. Jordan

271
Citations
Evolution of social-attribute networks: measurements, modeling, and implications using google+

Neil Zhenqiang Gong;Wenchang Xu;Ling Huang;Prateek Mittal

263
Citations
Multi-View Clustering in Latent Embedding Space

Man-Sheng Chen;Ling Huang;Chang-Dong Wang;Dong Huang

253
Citations
Online System Problem Detection by Mining Patterns of Console Logs

Wei Xu;Ling Huang;Armando Fox;David Patterson

230
Citations
Joint Link Prediction and Attribute Inference Using a Social-Attribute Network

Neil Zhenqiang Gong;Ameet Talwalkar;Lester Mackey;Ling Huang

227
Citations
Approximate object location and spam filtering on peer-to-peer systems

Feng Zhou;Li Zhuang;Ben Y. Zhao;Ling Huang

200
Citations
Communication-Efficient Online Detection of Network-Wide Anomalies

Ling Huang;Xuan Long Nguyen;M. Garofalakis;J.M. Hellerstein

182
Citations
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

Zhi-Hong Deng;Ling Huang;Chang-Dong Wang;Jian-Huang Lai

175
Citations
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression

Ling Huang;Jinzhu Jia;Bin Yu;Byung-gon Chun

155
Citations
Mining console logs for large-scale system problem detection

Wei Xu;Ling Huang;Armando Fox;David Patterson

144
Citations
An Analysis of the Convergence of Graph Laplacians

Daniel Ting;Ling Huang;Michael I. Jordan

144
Citations
I Know Why You Went to the Clinic: Risks and Realization of HTTPS Traffic Analysis

Brad Miller;Ling Huang;Anthony D. Joseph;J. D. Tygar

128
Citations
Query strategies for evading convex-inducing classifiers

Blaine Nelson;Benjamin I. P. Rubinstein;Ling Huang;Anthony D. Joseph

119
Citations
Spectral Clustering with Perturbed Data

Ling Huang;Donghui Yan;Nina Taft;Michael I. Jordan

103
Citations

Frequent Co-Authors

Anthony D. Joseph University of California, Berkeley

J. D. Tygar University of California, Berkeley

Nina Taft Google (United States)

Michael I. Jordan University of California, Berkeley

Satish Rao University of California, Berkeley

David A. Patterson University of California, Berkeley

Ben Y. Zhao University of Chicago

John Kubiatowicz University of California, Berkeley

Armando Fox University of California, Berkeley

Dawn Song University of California, Berkeley

External Links

Personal website of Ling Huang Google Scholar page

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