Fanchao Qi

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 8 papers; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 230 citations into it
• Natural Language Processing — 100 citations into it
• Large Language Models — 77 citations into it
• Computer Vision and Pattern Recognition — 67 citations into it
• Safety, Robustness & Interpretability — 47 citations into it
• Evaluation & Benchmarks — 34 citations into it
• Signal Processing — 25 citations into it
• General Social Sciences — 11 citations into it

Whom Fanchao Qi trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yann LeCun
5. Sepp Hochreiter
6. Ilya Sutskever
7. Alex Krizhevsky
8. Richard Socher
9. Jacob Devlin
10. Alec Radford

Who trusts Fanchao Qi overall

1. Tianhao Shen

Papers from Fanchao Qi's perspective

Ordered by how strongly the researchers Fanchao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models (2023) — 890 citations
• CPM-2: Large-scale Cost-effective Pre-trained Language Models (2021) — 101 citations
• CPM: A Large-scale Generative Chinese Pre-trained Language Model (2020) — 132 citations
• Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks (2021) — 15 citations
• Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger (2021) — 338 citations
• Know What You Don't Need: Single-Shot Meta-Pruning for Attention Heads (2020) — 36 citations
• ONION: A Simple and Effective Defense Against Textual Backdoor Attacks (2020) — 414 citations
• Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning (2020) — 37 citations