Wonyong Jeong

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Representation & Self-Supervised Learning — 24 citations into it

Whom Wonyong Jeong trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yann LeCun
5. Ruslan Salakhutdinov
6. Nitish Srivastava
7. Ilya Sutskever
8. Diederik P. Kingma
9. Kaiming He
10. Joan Serrà

Who trusts Wonyong Jeong overall

1. Wenke Huang
2. Mang Ye

Papers from Wonyong Jeong's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows (2025)
• Federated Semi-Supervised Learning with Inter-Client Consistency (2020) — 284 citations
• Federated Continual Learning with Adaptive Parameter Communication (2020) — 17 citations