Leaderboards/Stochastic Gradient Optimization Techniques

Stochastic Gradient Optimization Techniques

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Yutao Huang
Simon Fraser University
2
Yuang Jiang
Yale University
3
Haokun Fang
Shanghai University
4
Kun Zhou
Fudan University
5
Zili Lu
Songshan Lake Materials Laboratory
6
Jinhyun So
University of Southern California
7
David Froelicher
Broad Institute
8
Jaehyoung Park
Sejong University
9
Mohammad Mohammadi Amiri
Princeton University
10
Radosvet Desislavov
Universitat Politècnica de València

Rising Stars Papers

1
Federated Learning With Non-IID Data: A Survey
IEEE Internet of Things Journal|2024
308 cit.
2
Application of prehabilitation program in elderly patients undergoing esophageal cancer surgery
Frontiers in Oncology|2025
3 cit.
3
Damage failure and mapping model of PI insulation film in equivalent test of PMTMSC forming process
Engineering Failure Analysis|2025
3 cit.
4
Experimental Approach to Internal Security Threats for 5G-Advanced Core Networks
Unknown Journal|2024
2 cit.
5
EAD-net: Multi-scale wavelet mamba network for early Alzheimer’s disease diagnosis
Applied Soft Computing|2025
1 cit.
6
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
Unknown Journal|2024
1 cit.
7
Short-term traffic flow prediction based on combination of SSA and LSTM
Unknown Journal|2024
0 cit.
8
Reducing aliasing-induced artifacts in BLADE sequence using extended-FOV reconstruction
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition|2025
0 cit.
9
Designing Secure Network Functions for UE Threat Detection in Network Slicing
Unknown Journal|2025
0 cit.
10
AROMMA: Unifying Olfactory Embeddings for Single Molecules and Mixtures
ArXiv.org|2026
0 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Yupeng Zhang
Weihai Science and Technology Bureau
2
Patrick J. Coles
Los Alamos National Laboratory
3
Bing Yu
Xi'an Institute of Optics and Precision Mechanics
4
Tom Goldstein
University of Maryland, College Park
5
Wen-Ting Wu
Beijing Institute of Technology
6
Phan-Minh Nguyen
Stanford University
7
Zheng Ma Zheng
Shanghai Jiao Tong University
8
Yun Yang
University of Maryland, College Park
9
Xiyu Zhai
Massachusetts Institute of Technology
10
Soumith Chintala
Meta (Israel)

Emerging Leaders Papers

1
Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus
PRX Quantum|2022
582 cit.
2
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation
Unknown Journal|2024
579 cit.
3
Generalization in quantum machine learning from few training data
Nature Communications|2022
443 cit.
4
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
IEEE Transactions on Pattern Analysis and Machine Intelligence|2022
298 cit.
5
Variational Quantum Linear Solver
Quantum|2023
176 cit.
6
Trainability of Dissipative Perceptron-Based Quantum Neural Networks
Physical Review Letters|2022
170 cit.
7
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Unknown Journal|2023
145 cit.
8
Equivalence of quantum barren plateaus to cost concentration and narrow gorges
Quantum Science and Technology|2022
144 cit.
9
Variational quantum state eigensolver
npj Quantum Information|2022
142 cit.
10
Universal Guidance for Diffusion Models
Unknown Journal|2023
128 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Yoram Singer
Greenwich Hospital
2
Li Zhang
Google (United States)
3
Blaise Agüera y Arcas
Google (United States)
4
Joel A. Tropp
California Institute of Technology
5
Geoffrey E. Hinton
University of Toronto
6
Asuman Ozdaglar
Massachusetts Institute of Technology
7
Tong Zhang
Fiberhome Technology Group (China)
8
Benjamin Recht
University of California, Berkeley
9
Nathan Srebro
Toyota Technological Institute at Chicago
10
Karn Seth
Google (United States)

Current Senior Leaders Papers

1
ImageNet classification with deep convolutional neural networks
Communications of the ACM|2017
75.7k cit.
2
Visualizing Data using t-SNE
Journal of Machine Learning Research|2008
35.7k cit.
3
Reducing the Dimensionality of Data with Neural Networks
Science|2006
21k cit.
4
A Fast Learning Algorithm for Deep Belief Nets
Neural Computation|2006
16.4k cit.
5
Rectified Linear Units Improve Restricted Boltzmann Machines
International Conference on Machine Learning|2010
13.2k cit.
6
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
IEEE Signal Processing Magazine|2012
10.3k cit.
7
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
IEEE Transactions on Information Theory|2007
9.7k cit.
8
Speech recognition with deep recurrent neural networks
Unknown Journal|2013
8.8k cit.
9
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Unknown Journal|2010
8.6k cit.
10
Deep Learning with Differential Privacy
Unknown Journal|2016
5.9k cit.

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