2026 Rong Ge: 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	43	7879	7652	3407	3278	181	9432

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

7879

7652

3407

3278

181

9432

Research.com Recognitions

2019 - Fellow of Alfred P. Sloan Foundation

Best Publications

Tensor decompositions for learning latent variable models

Animashree Anandkumar;Rong Ge;Daniel Hsu;Sham M. Kakade

1200
Citations
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition

Rong Ge;Furong Huang;Chi Jin;Yang Yuan

902
Citations
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications

Rong Ge;Xizhou Feng;Shuaiwen Song;Hung-Ching Chang

549
Citations
Learning Topic Models -- Going beyond SVD

Sanjeev Arora;Rong Ge;Ankur Moitra

492
Citations
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters

Rong Ge;Xizhou Feng;Kirk W. Cameron

464
Citations
New algorithms for learning in presence of errors

Sanjeev Arora;Rong Ge

328
Citations
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters

Rong Ge;Xizhou Feng;Wu-chun Feng;K.W. Cameron

324
Citations
Power and energy profiling of scientific applications on distributed systems

Xixhou Feng;Rong Ge;K.W. Cameron

283
Citations
A Tensor Spectral Approach to Learning Mixed Membership Community Models

Animashree Anandkumar;Rong Ge;Daniel J. Hsu;Sham M. Kakade

270
Citations
A tensor approach to learning mixed membership community models

Animashree Anandkumar;Rong Ge;Daniel Hsu;Sham M. Kakade

192
Citations
Green Supercomputing Comes of Age

Wu-chun Feng;Xizhou Feng;Rong Ce

164
Citations
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$ Updates

Animashree Anandkumar;Rong Ge;Majid Janzamin

163
Citations
Efficient approaches for escaping higher order saddle points in non-convex optimization

Animashree Anandkumar;Rong Ge

143
Citations
Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU

Rong Ge;Ryan Vogt;Jahangir Majumder;Arif Alam

137
Citations
Computational complexity and information asymmetry in financial products

Sanjeev Arora;Boaz Barak;Markus Brunnermeier;Rong Ge

134
Citations
High-performance, power-aware distributed computing for scientific applications

K.W. Cameron;Rong Ge;Xizhou Feng

123
Citations
Improving MapReduce energy efficiency for computation intensive workloads

Thomas Wirtz;Rong Ge

120
Citations
Competing with the Empirical Risk Minimizer in a Single Pass

Roy Frostig;Rong Ge;Sham M. Kakade;Aaron Sidford

116
Citations
Learning Mixtures of Gaussians in High Dimensions

Rong Ge;Qingqing Huang;Sham M. Kakade

110
Citations
A Practical Algorithm for Topic Modeling with Provable Guarantees

Sanjeev Arora;Rong Ge;Yoni Halpern;David Mimno

54
Citations

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Recently Published Articles

Rong Ge

D-Index & Metrics

D-Index & Metrics

Computer Science

Research.com Recognitions

Best Publications

Tensor decompositions for learning latent variable models

Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition

PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications

Learning Topic Models -- Going beyond SVD

Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters

New algorithms for learning in presence of errors

CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters

Power and energy profiling of scientific applications on distributed systems

A Tensor Spectral Approach to Learning Mixed Membership Community Models

A tensor approach to learning mixed membership community models

Green Supercomputing Comes of Age

Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$ Updates

Efficient approaches for escaping higher order saddle points in non-convex optimization

Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU

Computational complexity and information asymmetry in financial products

High-performance, power-aware distributed computing for scientific applications

Improving MapReduce energy efficiency for computation intensive workloads

Competing with the Empirical Risk Minimizer in a Single Pass

Learning Mixtures of Gaussians in High Dimensions

A Practical Algorithm for Topic Modeling with Provable Guarantees

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