Guolong Su

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 4 papers; trusts 57 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 112 citations into it; #17,828 of 35,345 by trust here, #7,471 by citations
• Computer Vision and Pattern Recognition — 74 citations into it
• Meta & Continual Learning — 44 citations into it
• Representation & Self-Supervised Learning — 32 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Statistical Learning Theory — 11 citations into it
• Information Systems — 8 citations into it
• Reinforcement Learning — 7 citations into it

Whom Guolong Su trusts overall

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

1. Kush R. Varshney
2. Johannes Fürnkranz
3. R. Rivest
4. William W. Cohen
5. Dmitry M. Malioutov
6. Tong Wang
7. Cynthia Rudin
8. Peter Clark
9. Benjamin Letham
10. Geoffrey E. Hinton

Who trusts Guolong Su overall

1. Cynthia Rudin
2. Nadia Burkart
3. Giulia Vilone
4. Amit Dhurandhar
5. Himabindu Lakkaraju
6. Sanjeeb Dash
7. Marco F. Huber
8. Longo Luca
9. Ş. Ertekin
10. Alejandro Barredo Arrieta

Papers from Guolong Su's perspective

Ordered by how strongly the researchers Guolong Su 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning to Prompt for Continual Learning (2021) — 1,330 citations
• DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning (2022) — 880 citations
• Learning sparse two-level boolean rules (2016) — 31 citations
• Interpretable Two-level Boolean Rule Learning for Classification (2015) — 55 citations