Weiwei Liu

Artificial Intelligence · with Gao · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 204 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #25,266 of 35,345 by trust here, #34,943 by citations
• Computer Vision and Pattern Recognition — 41 citations into it; #15,516 of 21,575 by trust here, #21,424 by citations
• Generative Models — 22 citations into it
• Meta & Continual Learning — 22 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Optimization & Training — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Weiwei Liu trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Gido M. van de Ven
6. Yoshua Bengio
7. Kaiming He
8. Yann LeCun
9. Jia Deng
10. Individualized Treat

Who trusts Weiwei Liu overall

1. Valerio Marsocci
2. Simone Scardapane
3. Junsu Kim

Papers from Weiwei Liu's perspective

Ordered by how strongly the researchers Weiwei Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DDGR: Continual Learning with Deep Diffusion-based Generative Replay (2023) — 113 citations
• Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification (2022) — 38 citations