Zifan Wang
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 155 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 111 citations into it; #27,529 of 35,345 by trust here, #9,092 by citations
- Safety, Robustness & Interpretability — 71 citations into it
- Computer Vision and Pattern Recognition — 60 citations into it
- Natural Language Processing — 14 citations into it
- Signal Processing — 13 citations into it
- Model Architectures — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Biophysics — 6 citations into it
Whom Zifan Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Christian Szegedy
- Yoshua Bengio
- Ian J. Goodfellow
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Zifan Wang overall
- Gabriel Alon
- Zeming Wei
- Zheng-Xin Yong
- Alexander Robey
- Xiangyu Qi
- Yujia Huang
- Qiusi Zhan
- Xiaogeng Liu
- Melanie Sclar
- Jiahao Yu
Papers from Zifan Wang's perspective
Ordered by how strongly the researchers Zifan Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Universal and Transferable Adversarial Attacks on Aligned Language Models (2023) — 3,387 citations
- Globally-Robust Neural Networks (2021) — 156 citations
- Towards Frequency-Based Explanation for Robust CNN (2020) — 57 citations
- Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks (2019) — 1,511 citations