Mengchen Zhao

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Computer Networks and Communications — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Mengchen Zhao trusts overall

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

1. Shike Mei
2. Chih-Jen Lin
3. Theodoros Evgeniou
4. Battista Biggio
5. Emanuel Parzen
6. Xiaojin Zhu
7. Huang Xiao
8. Ali Rahimi
9. Daniel Lowd
10. Nicolas Papernot

Who trusts Mengchen Zhao overall

1. Zhiyi Tian
2. Vale Tolpegin
3. Gan Sun
4. Lei Cui
5. Stacey Truex
6. Bo An

Papers from Mengchen Zhao's perspective

Ordered by how strongly the researchers Mengchen Zhao 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. ImageNet: A large-scale hierarchical image database
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Et al

Their papers

• Efficient Label Contamination Attacks Against Black-Box Learning Models (2017) — 74 citations
• Data Poisoning Attacks on Multi-Task Relationship Learning (2018) — 46 citations