Kexin Pei
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 8 papers; trusts 230 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 177 citations into it; #4,947 of 35,345 by trust here, #3,816 by citations
- Safety, Robustness & Interpretability — 124 citations into it; #338 of 2,251 by trust here, #439 by citations
- Computer Vision and Pattern Recognition — 83 citations into it; #12,186 of 21,575 by trust here, #7,938 by citations
- Software — 44 citations into it; #1,204 of 1,227 by trust here, #406 by citations
- Signal Processing — 40 citations into it; #941 of 7,572 by trust here, #680 by citations
- Information Systems — 39 citations into it
- Program Analysis & Verification — 27 citations into it; #139 of 301 by trust here, #68 by citations
- Computer Networks and Communications — 24 citations into it
Whom Kexin Pei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Szegedy
- Geoffrey E. Hinton
- Ian J. Goodfellow
- Alex Krizhevsky
- Jia Deng
- Karen Simonyan
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
Who trusts Kexin Pei overall
- Shiqi Wang
- Lei Ma
- Michal Uřičář
- Changliu Liu
- Matthew Sotoudeh
- Jinhan Kim
- Bo Li
- Jie M. Zhang
- Augustus Odena
- Suman Sekhar Jana
Papers from Kexin Pei's perspective
Ordered by how strongly the researchers Kexin Pei 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)
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- DeepXplore: Automated Whitebox Testing of Deep Learning Systems (2017) — 1,541 citations
- DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars (2017) — 1,513 citations
- Python probabilistic type inference with natural language support (2016) — 108 citations
- Formal Security Analysis of Neural Networks using Symbolic Intervals (2018) — 532 citations
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues? (2023) — 3,028 citations
- Efficient Formal Safety Analysis of Neural Networks (2018) — 458 citations
- Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems (2017) — 108 citations
- HVLearn: Automated Black-Box Analysis of Hostname Verification in SSL/TLS Implementations (2017) — 91 citations