Zidong Wang

Artificial Intelligence · with Chen · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Control and Systems Engineering — 32 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Information Systems — 10 citations into it
• Management Science and Operations Research — 9 citations into it
• Mechanics of Materials — 9 citations into it
• Optimization & Training — 8 citations into it

Whom Zidong Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yehuda Koren
2. Matthew D. Zeiler

Papers from Zidong Wang's perspective

Ordered by how strongly the researchers Zidong Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. ImageNet Large Scale Visual Recognition Challenge
3. ImageNet classification with deep convolutional neural networks
4. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. A Survey on Transfer Learning
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016 (2023) — 513 citations
• Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis (2022) — 305 citations