Zhi-Ming Ma
Artificial Intelligence · 2000–2021
A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Optimization & Training — 25 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Computational Mechanics — 9 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Zhi-Ming Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Alex Krizhevsky
- Yurii E. Nesterov
- Chih-Jen Lin
- Vaughn Climenhaga
- Geoffrey E. Hinton
- B. Recht
- Yann LeCun
- Rie Johnson
- Saeed Ghadimi
Who trusts Zhi-Ming Ma overall
Papers from Zhi-Ming Ma's perspective
Ordered by how strongly the researchers Zhi-Ming Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Reflected Symmetric α-Stable Processes and Regional Fractional Laplacian (2006) — 171 citations
- BOUNDARY PROBLEMS FOR FRACTIONAL LAPLACIANS (2005) — 110 citations
- Improved OOD Generalization via Adversarial Training and Pre-training (2021) — 101 citations
- Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling (2017) — 121 citations
- Construction of diffusions on configuration spaces (2000) — 72 citations