2026 Heng 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	79	1147	1111	608	586	471	24133

Research.com Recognitions

2020 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Heng Huang is affiliated with the University of Pittsburgh in the United States and has produced a significant body of work primarily in the field of computer science. Their research contributions span several subfields, including artificial intelligence, computer vision and pattern recognition, molecular biology, cognitive neuroscience, and radiology, nuclear medicine, and imaging.

The scientist's main topics of research focus on stochastic gradient optimization techniques, domain adaptation and few-shot learning, privacy-preserving technologies in data, advanced neural network applications, machine learning and extreme learning machines (ELM), sparse and compressive sensing techniques, as well as functional brain connectivity studies.

Heng Huang has published extensively in prominent venues, with frequent publications appearing in:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Neural Networks and Learning Systems
SSRN Electronic Journal
bioRxiv (Cold Spring Harbor Laboratory)

Some recent publications include:

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization (2021), Proceedings of the AAAI Conference on Artificial Intelligence
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning (2021), IEEE Transactions on Neural Networks and Learning Systems
Deep-learning-based prediction of late age-related macular degeneration progression (2020), Nature Machine Intelligence
BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data (2020), Nucleic Acids Research
Wavelet-Based Dual Recursive Network for Image Super-Resolution (2020), IEEE Transactions on Neural Networks and Learning Systems

Frequent collaborators of Heng Huang include Bin Gu, Paul M. Thompson, Weidong Cai, Liang Zhan, and Cheng Deng.

In recognition of their contributions to engineering and science, Heng Huang was awarded the title of Fellow of the Indian National Academy of Engineering (INAE) in 2020.

Best Publications

Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization

Feiping Nie;Heng Huang;Xiao Cai;Chris H. Ding

2020
Citations
Clustering and projected clustering with adaptive neighbors

Feiping Nie;Xiaoqian Wang;Heng Huang

945
Citations
The Constrained Laplacian Rank algorithm for graph-based clustering

Feiping Nie;Xiaoqian Wang;Michael I. Jordan;Heng Huang

808
Citations
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization

Kamran Ghasedi Dizaji;Amirhossein Herandi;Cheng Deng;Weidong Cai

590
Citations
Multi-view Subspace Clustering

Hongchang Gao;Feiping Nie;Xuelong Li;Heng Huang

587
Citations
Large-scale multi-view spectral clustering via bipartite graph

Yeqing Li;Feiping Nie;Heng Huang;Junzhou Huang

572
Citations
Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities

Franklin L. Quilumba;Wei-Jen Lee;Heng Huang;David Yanshi Wang

559
Citations
Multi-view K-means clustering on big data

Xiao Cai;Feiping Nie;Heng Huang

497
Citations
Deep Learning-Based Image Segmentation on Multimodal Medical Imaging

Zhe Guo;Xiang Li;Heng Huang;Ning Guo

402
Citations
Robust nonnegative matrix factorization using L21-norm

Deguang Kong;Chris Ding;Heng Huang

380
Citations
Low-rank matrix recovery via efficient schatten p-norm minimization

Feiping Nie;Heng Huang;Chris Ding

326
Citations
Multi-View Clustering and Feature Learning via Structured Sparsity

Hua Wang;Feiping Nie;Heng Huang

295
Citations
Heterogeneous image feature integration via multi-modal spectral clustering

Xiao Cai;Feiping Nie;Heng Huang;Farhad Kamangar

288
Citations
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering

Chenyou Fan;Xiaofan Zhang;Shu Zhang;Wensheng Wang

286
Citations
Deep Attributed Network Embedding

Hongchang Gao;Heng Huang

275
Citations
A convex formulation for semi-supervised multi-label feature selection

Xiaojun Chang;Feiping Nie;Yi Yang;Heng Huang

274
Citations
Robust Manifold Nonnegative Matrix Factorization

Jin Huang;Feiping Nie;Heng Huang;Chris Ding

250
Citations
Identifying quantitative trait loci via group-sparse multitask regression and feature selection

Hua Wang;Feiping Nie;Heng Huang;Sungeun Kim

241
Citations
Robust principal component analysis with non-greedy l 1 -norm maximization

Feiping Nie;Heng Huang;Chris Ding;Dijun Luo

233
Citations
Optimal Mean Robust Principal Component Analysis

Feiping Nie;Jianjun Yuan;Heng Huang

226
Citations

Frequent Co-Authors

Feiping Nie Northwestern Polytechnical University

Li Shen University of Pennsylvania

Chris Ding Chinese University of Hong Kong, Shenzhen

Hua Wang Victoria University

Weidong Cai University of Sydney

Yang Song California Institute of Technology

Fillia Makedon The University of Texas at Arlington

Cheng Deng Xidian University

Dinggang Shen ShanghaiTech University

Shannon L. Risacher Indiana University

External Links

Personal website of Heng Huang Google Scholar page

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