Mingyan D. Liu

Artificial Intelligence · 2002–2021

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Safety, Robustness & Interpretability — 41 citations into it
• Reinforcement Learning — 34 citations into it

Whom Mingyan D. Liu trusts overall

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

1. Geoffrey E. Hinton
2. David B. Johnson
3. Ian J. Goodfellow
4. Alex Krizhevsky
5. Christian Szegedy

Who trusts Mingyan D. Liu overall

1. David B. Johnson
2. Jorjeta G. Jetcheva

Papers from Mingyan D. Liu's perspective

Ordered by how strongly the researchers Mingyan D. Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Intriguing properties of neural networks
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Human-level control through deep reinforcement learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• AMRoute: Ad Hoc Multicast Routing Protocol (2002) — 625 citations
• Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks (2021) — 332 citations
• Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations (2020) — 405 citations