Ziheng Jiang
Artificial Intelligence · 2018
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
- Optimization & Training — 17 citations into it; #2,246 of 2,601 by trust here, #1,313 by citations
- ML Systems & Hardware — 16 citations into it
- Efficiency & Compression — 15 citations into it; #1,001 of 1,264 by trust here, #532 by citations
- Model Architectures — 10 citations into it
Whom Ziheng Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tianqi Chen
- Kaiming He
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Alec Radford
- Wojciech Zaremba
- Kai Sheng Tai
- Richard Socher
Who trusts Ziheng Jiang overall
Papers from Ziheng Jiang's perspective
Ordered by how strongly the researchers Ziheng Jiang 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- TVM: An Automated End-to-End Optimizing Compiler for Deep Learning (2018) — 357 citations
- Learning to Optimize Tensor Programs (2018) — 501 citations
- TVM: An Automated End-to-End Optimizing Compiler for Deep Learning (2018)