Zhi-Hong Qi

Artificial Intelligence · 2023–2025

A researcher in the Science corpus: 2 papers; trusts 168 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 196 citations into it
• Computer Vision and Pattern Recognition — 154 citations into it
• Meta & Continual Learning — 115 citations into it
• Representation & Self-Supervised Learning — 36 citations into it
• Optimization & Training — 14 citations into it
• Statistical and Nonlinear Physics — 11 citations into it

Whom Zhi-Hong Qi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Max Welling
8. Ilya Sutskever
9. Ross B. Girshick
10. Da-Wei Zhou

Papers from Zhi-Hong Qi's perspective

Ordered by how strongly the researchers Zhi-Hong Qi trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• BLOCK DIFFUSION: INTERPOLATING BETWEEN AU-TOREGRESSIVE AND DIFFUSION LANGUAGE MODELS (2025) — 334 citations
• Deep Class-Incremental Learning: A Survey (2023) — 133 citations