Chengqiang Lu
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 131 citations into it
- Computer Vision and Pattern Recognition — 40 citations into it
- Materials Chemistry — 21 citations into it
- Graph Learning — 19 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Optimization & Training — 10 citations into it
- Physical and Theoretical Chemistry — 10 citations into it
Whom Chengqiang Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- J. Behler
- Hui Zou
- David S. Broomhead
- Wouter Boomsma
- Jimmy Ba
- Geoffrey E. Hinton
- Yann LeCun
- Kaiming He
- Yoshua Bengio
Who trusts Chengqiang Lu overall
Papers from Chengqiang Lu's perspective
Ordered by how strongly the researchers Chengqiang Lu 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Qwen Technical Report (2023) — 4,095 citations
- Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective (2019) — 228 citations
- Motif-based Graph Self-Supervised Learning for Molecular Property Prediction (2021) — 370 citations