Shengchao Liu
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 6 papers; trusts 252 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 210 citations into it; #27,278 of 35,345 by trust here, #12,761 by citations
- Materials Chemistry — 128 citations into it
- Computational Theory and Mathematics — 123 citations into it
- Molecular Biology — 111 citations into it
- Computer Vision and Pattern Recognition — 101 citations into it
- Representation & Self-Supervised Learning — 58 citations into it
- Generative Models — 53 citations into it
- Graph Learning — 47 citations into it
Whom Shengchao Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
- Andrew Zisserman
- Christian Szegedy
Who trusts Shengchao Liu overall
Papers from Shengchao Liu's perspective
Ordered by how strongly the researchers Shengchao Liu 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- ATOMO: Communication-efficient Learning via Atomic Sparsification (2018) — 392 citations
- MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design (2022) — 105 citations
- Pre-training Molecular Graph Representation with 3D Geometry (2021) — 466 citations
- TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery (2022) — 88 citations
- Scientific discovery in the age of artificial intelligence (2023) — 1,745 citations
- Bad Global Minima Exist and SGD Can Reach Them (2019) — 89 citations