Chaoli Zhang

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it
• Signal Processing — 25 citations into it

Whom Chaoli Zhang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Lukas Ruff
5. Ryan P. Adams
6. Jimmy Ba
7. Peter J. Rousseeuw
8. Mayu Sakurada
9. Peter C. B. Phillips
10. Ailin Deng

Papers from Chaoli Zhang's perspective

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

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

Their papers

• Large Language Models for Education: A survey and outlook (2024) — 365 citations
• DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection (2023) — 376 citations