Jian Zhang
Artificial Intelligence · with R'e · 1998–2019
A researcher in the Science corpus: 9 papers; trusts 330 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 160 citations into it; #7,657 of 35,345 by trust here, #9,465 by citations
- Computer Vision and Pattern Recognition — 138 citations into it; #18,743 of 21,575 by trust here, #10,334 by citations
- Optimization & Training — 118 citations into it; #811 of 2,601 by trust here, #930 by citations
- Efficiency & Compression — 53 citations into it
- Model Architectures — 30 citations into it
- Natural Language Processing — 24 citations into it
- Computational Mechanics — 22 citations into it; #3,184 of 10,001 by trust here, #2,942 by citations
- Evaluation & Benchmarks — 19 citations into it
Whom Jian Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- James Martens
- Ilya Sutskever
- Yann LeCun
- L. Eon Bottou
- Derek Hoiem
Who trusts Jian Zhang overall
- Nicolas Loizou
- Sebastian U. Stich
- Farzin Haddadpour
- Jianyu Wang
- Jerry Ma
- Tao Lin
- Yanli Liu
- Tal Ben-Nun
- Fan Zhou
- Kumar Kshitij Patel
Papers from Jian Zhang's perspective
Ordered by how strongly the researchers Jian Zhang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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
- Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors (2013) — 78 citations
- Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark (2018) — 126 citations
- PipeMare: Asynchronous Pipeline Parallel DNN Training (2019) — 136 citations
- Low-Memory Neural Network Training: A Technical Report (2019) — 114 citations
- YellowFin and the Art of Momentum Tuning (2017) — 113 citations
- Parallel SGD: When does averaging help? (2016) — 114 citations
- High-Accuracy Low-Precision Training (2018) — 114 citations
- DAWNBench : An End-to-End Deep Learning Benchmark and Competition (2017) — 353 citations
- Daily Prediction of Major Stock Indices from Textual WWW Data (1998)