Haifeng Qian
Artificial Intelligence · with Wang · 2018–2022
A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it; #16,225 of 35,345 by trust here, #13,353 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Safety, Robustness & Interpretability — 22 citations into it
- Signal Processing — 11 citations into it
- Optimization & Training — 8 citations into it
- Hardware and Architecture — 5 citations into it
Whom Haifeng Qian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicholas Carlini
- Yoshua Bengio
- Geoffrey E. Hinton
- David A. Wagner
- Yann LeCun
- Alex Krizhevsky
- Christian Szegedy
- Ilya Sutskever
- Razvan Pascanu
- Diederik P. Kingma
Who trusts Haifeng Qian overall
- Dinghuai Zhang
- Tianyuan Zhang
- Matthew Norton
- Yiping Lu
- Zhanxing Zhu
- Bin Dong
- Johannes O. Royset
- Ji Lin
- Todd P. Huster
Papers from Haifeng Qian's perspective
Ordered by how strongly the researchers Haifeng Qian trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- L2-Nonexpansive Neural Networks (2018) — 75 citations
- Multi-lingual Evaluation of Code Generation Models (2022) — 247 citations
- ReCode: Robustness Evaluation of Code Generation Models (2022) — 161 citations