Haipeng Luo
Artificial Intelligence · 2014–2023
A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 95 citations into it
- Optimization & Training — 15 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Computational Mechanics — 10 citations into it
- Computational Theory and Mathematics — 9 citations into it
- Management Science and Operations Research — 7 citations into it
- Computer Networks and Communications — 6 citations into it
- Mathematical Optimization — 5 citations into it
Whom Haipeng Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shai Shalev-Shwartz
- Andrew Y. Ng
- Yurii E. Nesterov
- Martin A. Zinkevich
- L. Eon Bottou
- Peter Richtárik
- Geoffrey E. Hinton
- Yoshua Bengio
- Jorge Nocedal
- Olivier Fercoq
Who trusts Haipeng Luo overall
Papers from Haipeng Luo's perspective
Ordered by how strongly the researchers Haipeng Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
Their papers
- Fast Convergence of Regularized Learning in Games (2015) — 305 citations
- WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct (2023) — 752 citations
- Accelerated Parallel Optimization Methods for Large Scale Machine Learning (2014) — 7 citations